id sid tid token lemma pos fis-4790 1 1 microsoft microsoft PROPN fis-4790 1 2 word word PROPN fis-4790 1 3 numero_68_art_24_4790.docx numero_68_art_24_4790.docx ADJ fis-4790 1 4 m. m. NOUN fis-4790 1 5 matin matin PROPN fis-4790 1 6 et et PROPN fis-4790 1 7 alii alii PROPN fis-4790 1 8 , , PUNCT fis-4790 1 9 frattura frattura PROPN fis-4790 1 10 ed ed PROPN fis-4790 1 11 integrità integrità PROPN fis-4790 1 12 strutturale strutturale PROPN fis-4790 1 13 , , PUNCT fis-4790 1 14 68 68 NUM fis-4790 1 15 ( ( PUNCT fis-4790 1 16 2024 2024 NUM fis-4790 1 17 ) ) PUNCT fis-4790 1 18 357 357 NUM fis-4790 1 19 - - SYM fis-4790 1 20 370 370 NUM fis-4790 1 21 ; ; PUNCT fis-4790 1 22 doi doi NOUN fis-4790 1 23 : : PUNCT fis-4790 1 24 10.3221 10.3221 NUM fis-4790 1 25 / / SYM fis-4790 1 26 igf igf PROPN fis-4790 1 27 - - PUNCT fis-4790 1 28 esis.68.24 esis.68.24 ADJ fis-4790 1 29 357 357 NUM fis-4790 1 30 shapley shapley NOUN fis-4790 1 31 additive additive ADJ fis-4790 1 32 explanation explanation NOUN fis-4790 1 33 on on ADP fis-4790 1 34 machine machine NOUN fis-4790 1 35 learning learn VERB fis-4790 1 36 predictions prediction NOUN fis-4790 1 37 of of ADP fis-4790 1 38 fatigue fatigue NOUN fis-4790 1 39 lifetimes lifetime NOUN fis-4790 1 40 in in ADP fis-4790 1 41 piston piston NOUN fis-4790 1 42 aluminum aluminum NOUN fis-4790 1 43 alloys alloy NOUN fis-4790 1 44 under under ADP fis-4790 1 45 different different ADJ fis-4790 1 46 manufacturing manufacturing NOUN fis-4790 1 47 and and CCONJ fis-4790 1 48 loading loading NOUN fis-4790 1 49 conditions condition NOUN fis-4790 1 50 mahmood mahmood PROPN fis-4790 1 51 matin matin PROPN fis-4790 1 52 , , PUNCT fis-4790 1 53 mohammad mohammad PROPN fis-4790 1 54 azadi azadi PROPN fis-4790 1 55 faculty faculty NOUN fis-4790 1 56 of of ADP fis-4790 1 57 mechanical mechanical ADJ fis-4790 1 58 engineering engineering NOUN fis-4790 1 59 , , PUNCT fis-4790 1 60 semnan semnan PROPN fis-4790 1 61 university university PROPN fis-4790 1 62 , , PUNCT fis-4790 1 63 semnan semnan PROPN fis-4790 1 64 , , PUNCT fis-4790 1 65 iran iran PROPN fis-4790 1 66 m_azadi@semnan.ac.ir m_azadi@semnan.ac.ir PROPN fis-4790 1 67 , , PUNCT fis-4790 1 68 http://orcid.org/0000-0001-8686-8705 http://orcid.org/0000-0001-8686-8705 NOUN fis-4790 1 69 keywords keyword NOUN fis-4790 1 70 . . PUNCT fis-4790 2 1 machine machine NOUN fis-4790 2 2 learning learning PROPN fis-4790 2 3 , , PUNCT fis-4790 2 4 bending bend VERB fis-4790 2 5 fatigue fatigue NOUN fis-4790 2 6 , , PUNCT fis-4790 2 7 lifetime lifetime NOUN fis-4790 2 8 estimation estimation NOUN fis-4790 2 9 , , PUNCT fis-4790 2 10 piston piston NOUN fis-4790 2 11 aluminum aluminum NOUN fis-4790 2 12 alloys alloy NOUN fis-4790 2 13 , , PUNCT fis-4790 2 14 shapley shapley ADJ fis-4790 2 15 additive additive NOUN fis-4790 2 16 explanation explanation NOUN fis-4790 2 17 . . PUNCT fis-4790 3 1 citation citation NOUN fis-4790 3 2 : : PUNCT fis-4790 4 1 matin matin PROPN fis-4790 4 2 , , PUNCT fis-4790 4 3 m. m. NOUN fis-4790 4 4 , , PUNCT fis-4790 4 5 azadi azadi PROPN fis-4790 4 6 , , PUNCT fis-4790 4 7 m. m. NOUN fis-4790 4 8 , , PUNCT fis-4790 4 9 shapley shapley NOUN fis-4790 4 10 additive additive ADJ fis-4790 4 11 explanation explanation NOUN fis-4790 4 12 on on ADP fis-4790 4 13 machine machine NOUN fis-4790 4 14 learning learn VERB fis-4790 4 15 predictions prediction NOUN fis-4790 4 16 of of ADP fis-4790 4 17 fatigue fatigue NOUN fis-4790 4 18 lifetimes lifetime NOUN fis-4790 4 19 in in ADP fis-4790 4 20 piston piston NOUN fis-4790 4 21 aluminum aluminum NOUN fis-4790 4 22 alloys alloy NOUN fis-4790 4 23 under under ADP fis-4790 4 24 different different ADJ fis-4790 4 25 manufacturing manufacturing NOUN fis-4790 4 26 and and CCONJ fis-4790 4 27 loading loading NOUN fis-4790 4 28 conditions condition NOUN fis-4790 4 29 , , PUNCT fis-4790 4 30 frattura frattura PROPN fis-4790 4 31 ed ed PROPN fis-4790 4 32 integrità integrità PROPN fis-4790 4 33 strutturale strutturale PROPN fis-4790 4 34 , , PUNCT fis-4790 4 35 68 68 NUM fis-4790 4 36 ( ( PUNCT fis-4790 4 37 2024 2024 NUM fis-4790 4 38 ) ) PUNCT fis-4790 4 39 357 357 NUM fis-4790 4 40 - - SYM fis-4790 4 41 370 370 NUM fis-4790 4 42 . . PUNCT fis-4790 4 43 received receive VERB fis-4790 4 44 : : PUNCT fis-4790 4 45 06.01.2024 06.01.2024 NUM fis-4790 4 46 accepted accept VERB fis-4790 4 47 : : PUNCT fis-4790 4 48 07.03.2024 07.03.2024 NUM fis-4790 4 49 published publish VERB fis-4790 4 50 : : PUNCT fis-4790 4 51 11.03.2024 11.03.2024 NUM fis-4790 4 52 issue issue NOUN fis-4790 4 53 : : PUNCT fis-4790 4 54 04.2024 04.2024 NUM fis-4790 4 55 copyright copyright NOUN fis-4790 4 56 : : PUNCT fis-4790 4 57 © © PROPN fis-4790 4 58 2024 2024 NUM fis-4790 4 59 this this PRON fis-4790 4 60 is be AUX fis-4790 4 61 an an DET fis-4790 4 62 open open ADJ fis-4790 4 63 access access NOUN fis-4790 4 64 article article NOUN fis-4790 4 65 under under ADP fis-4790 4 66 the the DET fis-4790 4 67 terms term NOUN fis-4790 4 68 of of ADP fis-4790 4 69 the the DET fis-4790 4 70 cc cc NOUN fis-4790 4 71 - - PUNCT fis-4790 4 72 by by ADP fis-4790 4 73 4.0 4.0 NUM fis-4790 4 74 , , PUNCT fis-4790 4 75 which which PRON fis-4790 4 76 permits permit VERB fis-4790 4 77 unrestricted unrestricted ADJ fis-4790 4 78 use use NOUN fis-4790 4 79 , , PUNCT fis-4790 4 80 distribution distribution NOUN fis-4790 4 81 , , PUNCT fis-4790 4 82 and and CCONJ fis-4790 4 83 reproduction reproduction NOUN fis-4790 4 84 in in ADP fis-4790 4 85 any any DET fis-4790 4 86 medium medium NOUN fis-4790 4 87 , , PUNCT fis-4790 4 88 provided provide VERB fis-4790 4 89 the the DET fis-4790 4 90 original original ADJ fis-4790 4 91 author author NOUN fis-4790 4 92 and and CCONJ fis-4790 4 93 source source NOUN fis-4790 4 94 are be AUX fis-4790 4 95 credited credit VERB fis-4790 4 96 . . PUNCT fis-4790 5 1 introduction introduction NOUN fis-4790 5 2 luminum luminum ADJ fis-4790 5 3 - - PUNCT fis-4790 5 4 silicon silicon NOUN fis-4790 5 5 alloys alloy NOUN fis-4790 5 6 have have AUX fis-4790 5 7 been be AUX fis-4790 5 8 extensively extensively ADV fis-4790 5 9 utilized utilize VERB fis-4790 5 10 in in ADP fis-4790 5 11 internal internal ADJ fis-4790 5 12 combustion combustion NOUN fis-4790 5 13 ( ( PUNCT fis-4790 5 14 ic ic NUM fis-4790 5 15 ) ) PUNCT fis-4790 5 16 engines engine NOUN fis-4790 5 17 as as ADP fis-4790 5 18 a a DET fis-4790 5 19 substitute substitute NOUN fis-4790 5 20 for for ADP fis-4790 5 21 cast cast VERB fis-4790 5 22 iron iron NOUN fis-4790 5 23 and and CCONJ fis-4790 5 24 steel steel NOUN fis-4790 5 25 components component NOUN fis-4790 5 26 to to PART fis-4790 5 27 decrease decrease VERB fis-4790 5 28 the the DET fis-4790 5 29 weight weight NOUN fis-4790 5 30 , , PUNCT fis-4790 5 31 resulting result VERB fis-4790 5 32 in in ADP fis-4790 5 33 the the DET fis-4790 5 34 reduction reduction NOUN fis-4790 5 35 of of ADP fis-4790 5 36 emissions emission NOUN fis-4790 5 37 and and CCONJ fis-4790 5 38 fuel fuel NOUN fis-4790 5 39 consumption consumption NOUN fis-4790 6 1 [ [ X fis-4790 6 2 1 1 NUM fis-4790 6 3 ] ] PUNCT fis-4790 6 4 . . PUNCT fis-4790 7 1 the the DET fis-4790 7 2 piston piston NOUN fis-4790 7 3 must must AUX fis-4790 7 4 be be AUX fis-4790 7 5 robust robust ADJ fis-4790 7 6 and and CCONJ fis-4790 7 7 durable durable ADJ fis-4790 7 8 to to PART fis-4790 7 9 withstand withstand VERB fis-4790 7 10 thermomechanical thermomechanical ADJ fis-4790 7 11 fatigue fatigue NOUN fis-4790 7 12 while while SCONJ fis-4790 7 13 being be AUX fis-4790 7 14 lightweight lightweight ADJ fis-4790 7 15 and and CCONJ fis-4790 7 16 resistant resistant ADJ fis-4790 7 17 to to PART fis-4790 7 18 wear wear VERB fis-4790 7 19 [ [ NOUN fis-4790 7 20 2 2 NUM fis-4790 7 21 ] ] PUNCT fis-4790 7 22 . . PUNCT fis-4790 8 1 considering consider VERB fis-4790 8 2 the the DET fis-4790 8 3 remarkable remarkable ADJ fis-4790 8 4 mechanical mechanical ADJ fis-4790 8 5 properties property NOUN fis-4790 8 6 and and CCONJ fis-4790 8 7 lightness lightness NOUN fis-4790 8 8 , , PUNCT fis-4790 8 9 aluminum aluminum NOUN fis-4790 8 10 alloys alloy NOUN fis-4790 8 11 emerge emerge VERB fis-4790 8 12 as as ADP fis-4790 8 13 one one NUM fis-4790 8 14 of of ADP fis-4790 8 15 the the DET fis-4790 8 16 best good ADJ fis-4790 8 17 choices choice NOUN fis-4790 8 18 for for ADP fis-4790 8 19 piston piston NOUN fis-4790 8 20 manufacturing manufacturing NOUN fis-4790 8 21 [ [ X fis-4790 8 22 3 3 NUM fis-4790 8 23 ] ] PUNCT fis-4790 8 24 . . PUNCT fis-4790 9 1 there there PRON fis-4790 9 2 are be VERB fis-4790 9 3 several several ADJ fis-4790 9 4 approaches approach NOUN fis-4790 9 5 for for ADP fis-4790 9 6 predicting predict VERB fis-4790 9 7 fatigue fatigue NOUN fis-4790 9 8 lifetimes lifetime NOUN fis-4790 9 9 . . PUNCT fis-4790 10 1 sun sun NOUN fis-4790 10 2 and and CCONJ fis-4790 10 3 shang shang PROPN fis-4790 11 1 [ [ X fis-4790 11 2 4 4 X fis-4790 11 3 ] ] PUNCT fis-4790 11 4 examined examine VERB fis-4790 11 5 the the DET fis-4790 11 6 fatigue fatigue NOUN fis-4790 11 7 lifetime lifetime NOUN fis-4790 11 8 estimation estimation NOUN fis-4790 11 9 of of ADP fis-4790 11 10 tubular tubular ADJ fis-4790 11 11 and and CCONJ fis-4790 11 12 notched notch VERB fis-4790 11 13 specimens specimen NOUN fis-4790 11 14 by by ADP fis-4790 11 15 employing employ VERB fis-4790 11 16 the the DET fis-4790 11 17 finite finite ADJ fis-4790 11 18 element element NOUN fis-4790 11 19 method method NOUN fis-4790 11 20 ( ( PUNCT fis-4790 11 21 fem fem NOUN fis-4790 11 22 ) ) PUNCT fis-4790 11 23 , , PUNCT fis-4790 11 24 compared compare VERB fis-4790 11 25 to to ADP fis-4790 11 26 experimental experimental ADJ fis-4790 11 27 data datum NOUN fis-4790 11 28 under under ADP fis-4790 11 29 multiaxial multiaxial ADJ fis-4790 11 30 loading loading NOUN fis-4790 11 31 conditions condition NOUN fis-4790 11 32 . . PUNCT fis-4790 12 1 shivachev shivachev PROPN fis-4790 12 2 and and CCONJ fis-4790 12 3 myagkov myagkov NOUN fis-4790 12 4 [ [ X fis-4790 12 5 5 5 NUM fis-4790 12 6 ] ] PUNCT fis-4790 12 7 developed develop VERB fis-4790 12 8 an an DET fis-4790 12 9 ansys ansys NOUN fis-4790 12 10 - - PUNCT fis-4790 12 11 based base VERB fis-4790 12 12 method method NOUN fis-4790 12 13 to to PART fis-4790 12 14 calculate calculate VERB fis-4790 12 15 the the DET fis-4790 12 16 transient transient ADJ fis-4790 12 17 temperature temperature NOUN fis-4790 12 18 and and CCONJ fis-4790 12 19 strain strain NOUN fis-4790 12 20 fields field NOUN fis-4790 12 21 of of ADP fis-4790 12 22 a a DET fis-4790 12 23 piston piston NOUN fis-4790 12 24 under under ADP fis-4790 12 25 different different ADJ fis-4790 12 26 loads load NOUN fis-4790 12 27 , , PUNCT fis-4790 12 28 with with ADP fis-4790 12 29 a a DET fis-4790 12 30 focus focus NOUN fis-4790 12 31 on on ADP fis-4790 12 32 evaluating evaluate VERB fis-4790 12 33 its its PRON fis-4790 12 34 fatigue fatigue NOUN fis-4790 12 35 lifetime lifetime NOUN fis-4790 12 36 . . PUNCT fis-4790 13 1 the the DET fis-4790 13 2 fatigue fatigue NOUN fis-4790 13 3 lifetime lifetime NOUN fis-4790 13 4 estimation estimation NOUN fis-4790 13 5 was be AUX fis-4790 13 6 executed execute VERB fis-4790 13 7 with with ADP fis-4790 13 8 a a DET fis-4790 13 9 linear linear ADJ fis-4790 13 10 regression regression NOUN fis-4790 13 11 modeling modeling NOUN fis-4790 13 12 ( ( PUNCT fis-4790 13 13 lrm lrm PROPN fis-4790 13 14 ) ) PUNCT fis-4790 14 1 [ [ X fis-4790 14 2 6 6 NUM fis-4790 14 3 ] ] PUNCT fis-4790 14 4 and and CCONJ fis-4790 14 5 the the DET fis-4790 14 6 neural neural ADJ fis-4790 14 7 network network NOUN fis-4790 14 8 technique technique NOUN fis-4790 14 9 [ [ X fis-4790 14 10 7 7 NUM fis-4790 14 11 ] ] PUNCT fis-4790 14 12 . . PUNCT fis-4790 15 1 furthermore furthermore ADV fis-4790 15 2 , , PUNCT fis-4790 15 3 pearson pearson PROPN fis-4790 15 4 correlation correlation NOUN fis-4790 15 5 coefficient coefficient NOUN fis-4790 15 6 , , PUNCT fis-4790 15 7 permutation permutation NOUN fis-4790 15 8 feature feature NOUN fis-4790 15 9 importance importance NOUN fis-4790 15 10 , , PUNCT fis-4790 15 11 and and CCONJ fis-4790 15 12 accumulated accumulate VERB fis-4790 15 13 local local ADJ fis-4790 15 14 effects effect NOUN fis-4790 15 15 were be AUX fis-4790 15 16 investigated investigate VERB fis-4790 15 17 for for ADP fis-4790 15 18 the the DET fis-4790 15 19 sensitivity sensitivity NOUN fis-4790 15 20 analysis analysis NOUN fis-4790 15 21 of of ADP fis-4790 15 22 fatigue fatigue NOUN fis-4790 15 23 life life NOUN fis-4790 15 24 modeling model VERB fis-4790 15 25 inputs input NOUN fis-4790 15 26 [ [ X fis-4790 15 27 8 8 NUM fis-4790 15 28 ] ] PUNCT fis-4790 15 29 . . PUNCT fis-4790 16 1 for for ADP fis-4790 16 2 this this DET fis-4790 16 3 objective objective NOUN fis-4790 16 4 , , PUNCT fis-4790 16 5 shap shap PROPN fis-4790 16 6 values value NOUN fis-4790 16 7 , , PUNCT fis-4790 16 8 known know VERB fis-4790 16 9 as as ADP fis-4790 16 10 shapley shapley NOUN fis-4790 16 11 a a DET fis-4790 16 12 https://youtu.be/hiuzxzgcz5q https://youtu.be/hiuzxzgcz5q PROPN fis-4790 16 13 m. m. NOUN fis-4790 16 14 matin matin PROPN fis-4790 16 15 et et PROPN fis-4790 16 16 alii alii PROPN fis-4790 16 17 , , PUNCT fis-4790 16 18 frattura frattura PROPN fis-4790 16 19 ed ed PROPN fis-4790 16 20 integrità integrità PROPN fis-4790 16 21 strutturale strutturale PROPN fis-4790 16 22 , , PUNCT fis-4790 16 23 68 68 NUM fis-4790 16 24 ( ( PUNCT fis-4790 16 25 2024 2024 NUM fis-4790 16 26 ) ) PUNCT fis-4790 16 27 357 357 NUM fis-4790 16 28 - - SYM fis-4790 16 29 370 370 NUM fis-4790 16 30 ; ; PUNCT fis-4790 16 31 doi doi NOUN fis-4790 16 32 : : PUNCT fis-4790 16 33 10.3221 10.3221 NUM fis-4790 16 34 / / SYM fis-4790 16 35 igf igf PROPN fis-4790 16 36 - - PUNCT fis-4790 16 37 esis.68.24 esis.68.24 ADJ fis-4790 16 38 358 358 NUM fis-4790 16 39 additive additive ADJ fis-4790 16 40 explanations explanation NOUN fis-4790 16 41 , , PUNCT fis-4790 16 42 provide provide VERB fis-4790 16 43 a a DET fis-4790 16 44 valuable valuable ADJ fis-4790 16 45 method method NOUN fis-4790 16 46 for for ADP fis-4790 16 47 determining determine VERB fis-4790 16 48 the the DET fis-4790 16 49 significance significance NOUN fis-4790 16 50 of of ADP fis-4790 16 51 each each DET fis-4790 16 52 feature feature NOUN fis-4790 16 53 on on ADP fis-4790 16 54 output output NOUN fis-4790 16 55 prediction prediction NOUN fis-4790 16 56 . . PUNCT fis-4790 17 1 moreover moreover ADV fis-4790 17 2 , , PUNCT fis-4790 17 3 numerous numerous ADJ fis-4790 17 4 research research NOUN fis-4790 17 5 studies study NOUN fis-4790 17 6 have have AUX fis-4790 17 7 been be AUX fis-4790 17 8 performed perform VERB fis-4790 17 9 using use VERB fis-4790 17 10 this this DET fis-4790 17 11 approach approach NOUN fis-4790 17 12 in in ADP fis-4790 17 13 various various ADJ fis-4790 17 14 fields field NOUN fis-4790 17 15 , , PUNCT fis-4790 17 16 such such ADJ fis-4790 17 17 as as ADP fis-4790 17 18 material material NOUN fis-4790 17 19 engineering engineering NOUN fis-4790 17 20 [ [ X fis-4790 17 21 9,10 9,10 NUM fis-4790 17 22 ] ] PUNCT fis-4790 17 23 , , PUNCT fis-4790 17 24 environmental environmental ADJ fis-4790 17 25 engineering engineering NOUN fis-4790 18 1 [ [ X fis-4790 18 2 11 11 NUM fis-4790 18 3 ] ] PUNCT fis-4790 18 4 , , PUNCT fis-4790 18 5 and and CCONJ fis-4790 18 6 mineral mineral NOUN fis-4790 18 7 engineering engineering NOUN fis-4790 18 8 [ [ X fis-4790 18 9 12 12 NUM fis-4790 18 10 ] ] PUNCT fis-4790 18 11 . . PUNCT fis-4790 19 1 data datum NOUN fis-4790 19 2 science science NOUN fis-4790 19 3 methods method NOUN fis-4790 19 4 were be AUX fis-4790 19 5 employed employ VERB fis-4790 19 6 to to PART fis-4790 19 7 estimate estimate VERB fis-4790 19 8 the the DET fis-4790 19 9 fatigue fatigue NOUN fis-4790 19 10 characteristics characteristic NOUN fis-4790 19 11 of of ADP fis-4790 19 12 aluminum aluminum NOUN fis-4790 19 13 alloys alloy NOUN fis-4790 19 14 . . PUNCT fis-4790 20 1 in in ADP fis-4790 20 2 a a DET fis-4790 20 3 study study NOUN fis-4790 20 4 , , PUNCT fis-4790 20 5 abdullatef abdullatef PROPN fis-4790 20 6 et et PROPN fis-4790 20 7 al al PROPN fis-4790 20 8 . . PUNCT fis-4790 21 1 [ [ X fis-4790 21 2 13 13 NUM fis-4790 21 3 ] ] PUNCT fis-4790 21 4 assessed assess VERB fis-4790 21 5 the the DET fis-4790 21 6 accuracy accuracy NOUN fis-4790 21 7 of of ADP fis-4790 21 8 different different ADJ fis-4790 21 9 machine machine NOUN fis-4790 21 10 learning learning NOUN fis-4790 21 11 ( ( PUNCT fis-4790 21 12 ml ml NOUN fis-4790 21 13 ) ) PUNCT fis-4790 21 14 and and CCONJ fis-4790 21 15 artificial artificial ADJ fis-4790 21 16 intelligence intelligence NOUN fis-4790 21 17 ( ( PUNCT fis-4790 21 18 ai ai NOUN fis-4790 21 19 ) ) PUNCT fis-4790 21 20 approaches approach NOUN fis-4790 21 21 in in ADP fis-4790 21 22 predicting predict VERB fis-4790 21 23 the the DET fis-4790 21 24 fatigue fatigue NOUN fis-4790 21 25 lifetime lifetime NOUN fis-4790 21 26 of of ADP fis-4790 21 27 an an DET fis-4790 21 28 aluminum aluminum NOUN fis-4790 21 29 alloy alloy NOUN fis-4790 21 30 based base VERB fis-4790 21 31 on on ADP fis-4790 21 32 bending bend VERB fis-4790 21 33 fatigue fatigue NOUN fis-4790 21 34 data datum NOUN fis-4790 21 35 . . PUNCT fis-4790 22 1 they they PRON fis-4790 22 2 compared compare VERB fis-4790 22 3 artificial artificial ADJ fis-4790 22 4 neural neural ADJ fis-4790 22 5 networks network NOUN fis-4790 22 6 , , PUNCT fis-4790 22 7 support support VERB fis-4790 22 8 vector vector NOUN fis-4790 22 9 machines machine NOUN fis-4790 22 10 ( ( PUNCT fis-4790 22 11 svm svm PROPN fis-4790 22 12 ) ) PUNCT fis-4790 22 13 with with ADP fis-4790 22 14 different different ADJ fis-4790 22 15 kernels kernel NOUN fis-4790 22 16 , , PUNCT fis-4790 22 17 extreme extreme ADJ fis-4790 22 18 gradient gradient NOUN fis-4790 22 19 boosting boost VERB fis-4790 22 20 ( ( PUNCT fis-4790 22 21 xgboost xgboost ADV fis-4790 22 22 ) ) PUNCT fis-4790 22 23 , , PUNCT fis-4790 22 24 random random ADJ fis-4790 22 25 forest forest NOUN fis-4790 22 26 ( ( PUNCT fis-4790 22 27 rf rf NOUN fis-4790 22 28 ) ) PUNCT fis-4790 22 29 , , PUNCT fis-4790 22 30 and and CCONJ fis-4790 22 31 additive additive ADJ fis-4790 22 32 neuro neuro NOUN fis-4790 22 33 - - PUNCT fis-4790 22 34 fuzzy fuzzy ADJ fis-4790 22 35 inference inference NOUN fis-4790 22 36 . . PUNCT fis-4790 23 1 they they PRON fis-4790 23 2 reported report VERB fis-4790 23 3 that that SCONJ fis-4790 23 4 for for ADP fis-4790 23 5 estimating estimate VERB fis-4790 23 6 the the DET fis-4790 23 7 fatigue fatigue NOUN fis-4790 23 8 lifetime lifetime NOUN fis-4790 23 9 of of ADP fis-4790 23 10 2090 2090 NUM fis-4790 23 11 - - PUNCT fis-4790 23 12 t83 t83 NOUN fis-4790 23 13 aluminum aluminum NOUN fis-4790 23 14 alloys alloy NOUN fis-4790 23 15 , , PUNCT fis-4790 23 16 the the DET fis-4790 23 17 neuro neuro NOUN fis-4790 23 18 - - PUNCT fis-4790 23 19 fuzzy fuzzy ADJ fis-4790 23 20 inference inference NOUN fis-4790 23 21 method method NOUN fis-4790 23 22 was be AUX fis-4790 23 23 an an DET fis-4790 23 24 accurate accurate ADJ fis-4790 23 25 model model NOUN fis-4790 23 26 , , PUNCT fis-4790 23 27 but but CCONJ fis-4790 23 28 xgboost xgboost ADV fis-4790 23 29 , , PUNCT fis-4790 23 30 due due ADP fis-4790 23 31 to to ADP fis-4790 23 32 its its PRON fis-4790 23 33 simple simple ADJ fis-4790 23 34 floating float VERB fis-4790 23 35 - - PUNCT fis-4790 23 36 point point NOUN fis-4790 23 37 nature nature NOUN fis-4790 23 38 , , PUNCT fis-4790 23 39 was be AUX fis-4790 23 40 deemed deem VERB fis-4790 23 41 the the DET fis-4790 23 42 optimum optimum ADJ fis-4790 23 43 and and CCONJ fis-4790 23 44 fastest fast ADJ fis-4790 23 45 one one NUM fis-4790 23 46 . . PUNCT fis-4790 24 1 yasnii yasnii PROPN fis-4790 24 2 et et PROPN fis-4790 24 3 al al PROPN fis-4790 24 4 . . PUNCT fis-4790 25 1 [ [ X fis-4790 25 2 14 14 NUM fis-4790 25 3 ] ] PUNCT fis-4790 25 4 used use VERB fis-4790 25 5 ml ml PROPN fis-4790 25 6 approaches approach NOUN fis-4790 25 7 to to PART fis-4790 25 8 analyze analyze VERB fis-4790 25 9 the the DET fis-4790 25 10 fatigue fatigue NOUN fis-4790 25 11 fracture fracture NOUN fis-4790 25 12 and and CCONJ fis-4790 25 13 load load NOUN fis-4790 25 14 ratio ratio NOUN fis-4790 25 15 effects effect NOUN fis-4790 25 16 on on ADP fis-4790 25 17 d16 d16 PROPN fis-4790 25 18 t t NOUN fis-4790 25 19 aluminum aluminum NOUN fis-4790 25 20 alloys alloy NOUN fis-4790 25 21 , , PUNCT fis-4790 25 22 achieving achieve VERB fis-4790 25 23 accurate accurate ADJ fis-4790 25 24 predictions prediction NOUN fis-4790 25 25 with with ADP fis-4790 25 26 the the DET fis-4790 25 27 lowest low ADJ fis-4790 25 28 error error NOUN fis-4790 25 29 of of ADP fis-4790 25 30 3.2 3.2 NUM fis-4790 25 31 % % NOUN fis-4790 25 32 and and CCONJ fis-4790 25 33 2.5 2.5 NUM fis-4790 25 34 % % NOUN fis-4790 25 35 . . PUNCT fis-4790 26 1 additionally additionally ADV fis-4790 26 2 , , PUNCT fis-4790 26 3 lian lian PROPN fis-4790 26 4 et et PROPN fis-4790 26 5 al al PROPN fis-4790 26 6 . . PUNCT fis-4790 27 1 [ [ X fis-4790 27 2 15 15 NUM fis-4790 27 3 ] ] X fis-4790 27 4 utilized utilize VERB fis-4790 27 5 a a DET fis-4790 27 6 dataset dataset NOUN fis-4790 27 7 generated generate VERB fis-4790 27 8 for for ADP fis-4790 27 9 plotting plot VERB fis-4790 27 10 s s NOUN fis-4790 27 11 - - PUNCT fis-4790 27 12 n n CCONJ fis-4790 27 13 ( ( PUNCT fis-4790 27 14 stress stress NOUN fis-4790 27 15 - - PUNCT fis-4790 27 16 life life NOUN fis-4790 27 17 ) ) PUNCT fis-4790 27 18 curves curve NOUN fis-4790 27 19 for for ADP fis-4790 27 20 seven seven NUM fis-4790 27 21 types type NOUN fis-4790 27 22 of of ADP fis-4790 27 23 aluminum aluminum NOUN fis-4790 27 24 alloys alloy NOUN fis-4790 27 25 . . PUNCT fis-4790 28 1 firstly firstly ADV fis-4790 28 2 , , PUNCT fis-4790 28 3 using use VERB fis-4790 28 4 xgboost xgboost X fis-4790 28 5 , , PUNCT fis-4790 28 6 they they PRON fis-4790 28 7 investigated investigate VERB fis-4790 28 8 the the DET fis-4790 28 9 effect effect NOUN fis-4790 28 10 of of ADP fis-4790 28 11 each each DET fis-4790 28 12 element element NOUN fis-4790 28 13 in in ADP fis-4790 28 14 the the DET fis-4790 28 15 alloys alloy NOUN fis-4790 28 16 to to PART fis-4790 28 17 predict predict VERB fis-4790 28 18 their their PRON fis-4790 28 19 fatigue fatigue NOUN fis-4790 28 20 lifetimes lifetime NOUN fis-4790 28 21 based base VERB fis-4790 28 22 on on ADP fis-4790 28 23 shap shap PROPN fis-4790 28 24 values value NOUN fis-4790 28 25 , , PUNCT fis-4790 28 26 revealing reveal VERB fis-4790 28 27 that that SCONJ fis-4790 28 28 aluminum aluminum NOUN fis-4790 28 29 and and CCONJ fis-4790 28 30 magnesium magnesium NOUN fis-4790 28 31 had have VERB fis-4790 28 32 the the DET fis-4790 28 33 most most ADV fis-4790 28 34 significant significant ADJ fis-4790 28 35 impact impact NOUN fis-4790 28 36 on on ADP fis-4790 28 37 the the DET fis-4790 28 38 fatigue fatigue NOUN fis-4790 28 39 lifetime lifetime NOUN fis-4790 28 40 of of ADP fis-4790 28 41 the the DET fis-4790 28 42 alloys alloy NOUN fis-4790 28 43 . . PUNCT fis-4790 29 1 secondly secondly ADV fis-4790 29 2 , , PUNCT fis-4790 29 3 they they PRON fis-4790 29 4 conducted conduct VERB fis-4790 29 5 feature feature NOUN fis-4790 29 6 engineering engineering NOUN fis-4790 29 7 to to PART fis-4790 29 8 identify identify VERB fis-4790 29 9 the the DET fis-4790 29 10 most most ADV fis-4790 29 11 influential influential ADJ fis-4790 29 12 feature feature NOUN fis-4790 29 13 on on ADP fis-4790 29 14 the the DET fis-4790 29 15 fatigue fatigue NOUN fis-4790 29 16 lifetime lifetime NOUN fis-4790 29 17 estimation estimation NOUN fis-4790 29 18 , , PUNCT fis-4790 29 19 utilizing utilize VERB fis-4790 29 20 shap shap NOUN fis-4790 29 21 values value NOUN fis-4790 29 22 for for ADP fis-4790 29 23 this this DET fis-4790 29 24 analysis analysis NOUN fis-4790 29 25 . . PUNCT fis-4790 30 1 they they PRON fis-4790 30 2 reported report VERB fis-4790 30 3 that that SCONJ fis-4790 30 4 the the DET fis-4790 30 5 stussi stussi ADJ fis-4790 30 6 feature feature NOUN fis-4790 30 7 ( ( PUNCT fis-4790 30 8 a a DET fis-4790 30 9 functional functional ADJ fis-4790 30 10 attribute attribute NOUN fis-4790 30 11 related relate VERB fis-4790 30 12 to to ADP fis-4790 30 13 the the DET fis-4790 30 14 fatigue fatigue NOUN fis-4790 30 15 lifetime lifetime NOUN fis-4790 30 16 ) ) PUNCT fis-4790 30 17 and and CCONJ fis-4790 30 18 1.5 1.5 NUM fis-4790 30 19 max max NOUN fis-4790 30 20 ( ( PUNCT fis-4790 30 21 the the DET fis-4790 30 22 maximum maximum ADJ fis-4790 30 23 stress stress NOUN fis-4790 30 24 with with ADP fis-4790 30 25 the the DET fis-4790 30 26 power power NOUN fis-4790 30 27 of of ADP fis-4790 30 28 1.5 1.5 NUM fis-4790 30 29 ) ) PUNCT fis-4790 30 30 had have VERB fis-4790 30 31 the the DET fis-4790 30 32 most most ADV fis-4790 30 33 significant significant ADJ fis-4790 30 34 impact impact NOUN fis-4790 30 35 on on ADP fis-4790 30 36 the the DET fis-4790 30 37 fatigue fatigue NOUN fis-4790 30 38 lifetime lifetime NOUN fis-4790 30 39 of of ADP fis-4790 30 40 aluminum aluminum NOUN fis-4790 30 41 alloys alloy NOUN fis-4790 30 42 . . PUNCT fis-4790 31 1 matin matin PROPN fis-4790 31 2 and and CCONJ fis-4790 31 3 azadi azadi PROPN fis-4790 32 1 [ [ X fis-4790 32 2 16 16 NUM fis-4790 32 3 ] ] PUNCT fis-4790 32 4 estimated estimate VERB fis-4790 32 5 the the DET fis-4790 32 6 transition transition NOUN fis-4790 32 7 fatigue fatigue NOUN fis-4790 32 8 lifetime lifetime NOUN fis-4790 32 9 of of ADP fis-4790 32 10 an an DET fis-4790 32 11 aluminum aluminum NOUN fis-4790 32 12 alloy alloy NOUN fis-4790 32 13 by by ADP fis-4790 32 14 utilizing utilize VERB fis-4790 32 15 unsupervised unsupervised ADJ fis-4790 32 16 machine machine NOUN fis-4790 32 17 - - PUNCT fis-4790 32 18 learning learn VERB fis-4790 32 19 modeling modeling NOUN fis-4790 32 20 . . PUNCT fis-4790 33 1 moreover moreover ADV fis-4790 33 2 , , PUNCT fis-4790 33 3 they they PRON fis-4790 33 4 cluster cluster VERB fis-4790 33 5 the the DET fis-4790 33 6 s s NOUN fis-4790 33 7 - - PUNCT fis-4790 33 8 n n NOUN fis-4790 33 9 curves curve NOUN fis-4790 33 10 from from ADP fis-4790 33 11 high high ADJ fis-4790 33 12 - - PUNCT fis-4790 33 13 cycle cycle NOUN fis-4790 33 14 fatigue fatigue NOUN fis-4790 33 15 to to ADP fis-4790 33 16 low low ADJ fis-4790 33 17 - - PUNCT fis-4790 33 18 cycle cycle NOUN fis-4790 33 19 fatigue fatigue NOUN fis-4790 33 20 to to PART fis-4790 33 21 show show VERB fis-4790 33 22 the the DET fis-4790 33 23 influence influence NOUN fis-4790 33 24 of of ADP fis-4790 33 25 stress stress ADJ fis-4790 33 26 variation variation NOUN fis-4790 33 27 on on ADP fis-4790 33 28 fatigue fatigue NOUN fis-4790 33 29 lifetime lifetime NOUN fis-4790 33 30 . . PUNCT fis-4790 34 1 azadi azadi NOUN fis-4790 34 2 and and CCONJ fis-4790 34 3 parast parast NOUN fis-4790 35 1 [ [ X fis-4790 35 2 17 17 NUM fis-4790 35 3 ] ] PUNCT fis-4790 35 4 investigated investigate VERB fis-4790 35 5 the the DET fis-4790 35 6 effects effect NOUN fis-4790 35 7 of of ADP fis-4790 35 8 assumed assume VERB fis-4790 35 9 inputs input NOUN fis-4790 35 10 , , PUNCT fis-4790 35 11 consistent consistent ADJ fis-4790 35 12 with with ADP fis-4790 35 13 those those PRON fis-4790 35 14 in in ADP fis-4790 35 15 this this DET fis-4790 35 16 study study NOUN fis-4790 35 17 , , PUNCT fis-4790 35 18 on on ADP fis-4790 35 19 rotational rotational ADJ fis-4790 35 20 bending bend VERB fis-4790 35 21 fatigue fatigue NOUN fis-4790 35 22 tests test NOUN fis-4790 35 23 using use VERB fis-4790 35 24 regression regression NOUN fis-4790 35 25 models model NOUN fis-4790 35 26 . . PUNCT fis-4790 36 1 in in ADP fis-4790 36 2 their their PRON fis-4790 36 3 findings finding NOUN fis-4790 36 4 , , PUNCT fis-4790 36 5 stress stress NOUN fis-4790 36 6 had have VERB fis-4790 36 7 the the DET fis-4790 36 8 most most ADJ fis-4790 36 9 impact impact NOUN fis-4790 36 10 on on ADP fis-4790 36 11 the the DET fis-4790 36 12 fatigue fatigue NOUN fis-4790 36 13 lifetime lifetime NOUN fis-4790 36 14 with with ADP fis-4790 36 15 a a DET fis-4790 36 16 score score NOUN fis-4790 36 17 of of ADP fis-4790 36 18 1 1 NUM fis-4790 36 19 , , PUNCT fis-4790 36 20 the the DET fis-4790 36 21 fretting fret VERB fis-4790 36 22 force force NOUN fis-4790 36 23 with with ADP fis-4790 36 24 a a DET fis-4790 36 25 score score NOUN fis-4790 36 26 of of ADP fis-4790 36 27 2 2 NUM fis-4790 36 28 , , PUNCT fis-4790 36 29 and and CCONJ fis-4790 36 30 the the DET fis-4790 36 31 corrosion corrosion NOUN fis-4790 36 32 time time NOUN fis-4790 36 33 with with ADP fis-4790 36 34 a a DET fis-4790 36 35 score score NOUN fis-4790 36 36 of of ADP fis-4790 36 37 3 3 NUM fis-4790 36 38 . . PUNCT fis-4790 37 1 the the DET fis-4790 37 2 results result NOUN fis-4790 37 3 of of ADP fis-4790 37 4 the the DET fis-4790 37 5 aforementioned aforementioned ADJ fis-4790 37 6 studies study NOUN fis-4790 37 7 emphasized emphasize VERB fis-4790 37 8 the the DET fis-4790 37 9 benefits benefit NOUN fis-4790 37 10 of of ADP fis-4790 37 11 employing employ VERB fis-4790 37 12 ml ml ADP fis-4790 37 13 techniques technique NOUN fis-4790 37 14 , , PUNCT fis-4790 37 15 serving serve VERB fis-4790 37 16 as as ADP fis-4790 37 17 an an DET fis-4790 37 18 inspiration inspiration NOUN fis-4790 37 19 to to PART fis-4790 37 20 extend extend VERB fis-4790 37 21 the the DET fis-4790 37 22 application application NOUN fis-4790 37 23 of of ADP fis-4790 37 24 ml ml NOUN fis-4790 37 25 techniques technique NOUN fis-4790 37 26 to to ADP fis-4790 37 27 other other ADJ fis-4790 37 28 research research NOUN fis-4790 37 29 domains domain NOUN fis-4790 37 30 like like ADP fis-4790 37 31 the the DET fis-4790 37 32 fatigue fatigue NOUN fis-4790 37 33 estimation estimation NOUN fis-4790 37 34 of of ADP fis-4790 37 35 aluminum aluminum NOUN fis-4790 37 36 alloys alloy NOUN fis-4790 37 37 . . PUNCT fis-4790 38 1 moreover moreover ADV fis-4790 38 2 , , PUNCT fis-4790 38 3 a a DET fis-4790 38 4 common common ADJ fis-4790 38 5 sensitivity sensitivity NOUN fis-4790 38 6 analysis analysis NOUN fis-4790 38 7 can can AUX fis-4790 38 8 not not PART fis-4790 38 9 interpret interpret VERB fis-4790 38 10 a a DET fis-4790 38 11 model model NOUN fis-4790 38 12 with with ADP fis-4790 38 13 high high ADJ fis-4790 38 14 variation variation NOUN fis-4790 38 15 , , PUNCT fis-4790 38 16 and and CCONJ fis-4790 38 17 it it PRON fis-4790 38 18 is be AUX fis-4790 38 19 not not PART fis-4790 38 20 helpful helpful ADJ fis-4790 38 21 for for ADP fis-4790 38 22 nonlinear nonlinear ADJ fis-4790 38 23 variations variation NOUN fis-4790 38 24 . . PUNCT fis-4790 39 1 the the DET fis-4790 39 2 motivation motivation NOUN fis-4790 39 3 for for ADP fis-4790 39 4 this this DET fis-4790 39 5 work work NOUN fis-4790 39 6 could could AUX fis-4790 39 7 be be AUX fis-4790 39 8 the the DET fis-4790 39 9 utilization utilization NOUN fis-4790 39 10 of of ADP fis-4790 39 11 an an DET fis-4790 39 12 accurate accurate ADJ fis-4790 39 13 ml ml NOUN fis-4790 39 14 model model NOUN fis-4790 39 15 with with ADP fis-4790 39 16 a a DET fis-4790 39 17 precise precise ADJ fis-4790 39 18 interpretation interpretation NOUN fis-4790 39 19 , , PUNCT fis-4790 39 20 such such ADJ fis-4790 39 21 as as ADP fis-4790 39 22 shap shap PROPN fis-4790 39 23 values value NOUN fis-4790 39 24 . . PUNCT fis-4790 40 1 one one NUM fis-4790 40 2 of of ADP fis-4790 40 3 the the DET fis-4790 40 4 extra extra ADJ fis-4790 40 5 motivations motivation NOUN fis-4790 40 6 for for ADP fis-4790 40 7 employing employ VERB fis-4790 40 8 ml ml PROPN fis-4790 40 9 approaches approach NOUN fis-4790 40 10 was be AUX fis-4790 40 11 the the DET fis-4790 40 12 lack lack NOUN fis-4790 40 13 of of ADP fis-4790 40 14 a a DET fis-4790 40 15 simple simple ADJ fis-4790 40 16 physical physical NOUN fis-4790 40 17 - - PUNCT fis-4790 40 18 based base VERB fis-4790 40 19 solution solution NOUN fis-4790 40 20 for for ADP fis-4790 40 21 the the DET fis-4790 40 22 mentioned mention VERB fis-4790 40 23 work work NOUN fis-4790 40 24 [ [ X fis-4790 40 25 17 17 NUM fis-4790 40 26 ] ] PUNCT fis-4790 40 27 . . PUNCT fis-4790 41 1 nowadays nowadays ADV fis-4790 41 2 , , PUNCT fis-4790 41 3 researchers researcher NOUN fis-4790 41 4 demonstrate demonstrate VERB fis-4790 41 5 that that SCONJ fis-4790 41 6 because because SCONJ fis-4790 41 7 of of ADP fis-4790 41 8 the the DET fis-4790 41 9 variation variation NOUN fis-4790 41 10 in in ADP fis-4790 41 11 fatigue fatigue NOUN fis-4790 41 12 lifetime lifetime NOUN fis-4790 41 13 and and CCONJ fis-4790 41 14 the the DET fis-4790 41 15 experimental experimental ADJ fis-4790 41 16 nature nature NOUN fis-4790 41 17 of of ADP fis-4790 41 18 fatigue fatigue NOUN fis-4790 41 19 , , PUNCT fis-4790 41 20 physics physics NOUN fis-4790 41 21 - - PUNCT fis-4790 41 22 based base VERB fis-4790 41 23 ml ml NOUN fis-4790 41 24 models model NOUN fis-4790 41 25 can can AUX fis-4790 41 26 estimate estimate VERB fis-4790 41 27 the the DET fis-4790 41 28 fatigue fatigue NOUN fis-4790 41 29 problem problem NOUN fis-4790 41 30 better well ADV fis-4790 41 31 than than ADP fis-4790 41 32 traditional traditional ADJ fis-4790 41 33 ml ml NOUN fis-4790 41 34 methods method NOUN fis-4790 41 35 , , PUNCT fis-4790 41 36 achieving achieve VERB fis-4790 41 37 high high ADJ fis-4790 41 38 accuracy accuracy NOUN fis-4790 41 39 with with ADP fis-4790 41 40 low low ADV fis-4790 41 41 - - PUNCT fis-4790 41 42 trained train VERB fis-4790 41 43 data datum NOUN fis-4790 41 44 [ [ X fis-4790 41 45 18,19 18,19 NUM fis-4790 41 46 ] ] X fis-4790 41 47 . . PUNCT fis-4790 42 1 however however ADV fis-4790 42 2 , , PUNCT fis-4790 42 3 the the DET fis-4790 42 4 present present ADJ fis-4790 42 5 work work NOUN fis-4790 42 6 aims aim VERB fis-4790 42 7 to to PART fis-4790 42 8 propose propose VERB fis-4790 42 9 the the DET fis-4790 42 10 interpretation interpretation NOUN fis-4790 42 11 of of ADP fis-4790 42 12 the the DET fis-4790 42 13 impact impact NOUN fis-4790 42 14 of of ADP fis-4790 42 15 certain certain ADJ fis-4790 42 16 binary binary ADJ fis-4790 42 17 and and CCONJ fis-4790 42 18 continuous continuous ADJ fis-4790 42 19 physical physical ADJ fis-4790 42 20 features feature NOUN fis-4790 42 21 , , PUNCT fis-4790 42 22 demonstrating demonstrate VERB fis-4790 42 23 their their PRON fis-4790 42 24 effect effect NOUN fis-4790 42 25 on on ADP fis-4790 42 26 the the DET fis-4790 42 27 estimation estimation NOUN fis-4790 42 28 of of ADP fis-4790 42 29 fatigue fatigue NOUN fis-4790 42 30 lifetime lifetime NOUN fis-4790 42 31 and and CCONJ fis-4790 42 32 its its PRON fis-4790 42 33 logarithm logarithm NOUN fis-4790 42 34 value value NOUN fis-4790 42 35 directly directly ADV fis-4790 42 36 , , PUNCT fis-4790 42 37 without without ADP fis-4790 42 38 using use VERB fis-4790 42 39 feature feature NOUN fis-4790 42 40 engineering engineering NOUN fis-4790 42 41 , , PUNCT fis-4790 42 42 constraint constraint NOUN fis-4790 42 43 enforcement enforcement NOUN fis-4790 42 44 , , PUNCT fis-4790 42 45 hybrid hybrid NOUN fis-4790 42 46 models model NOUN fis-4790 42 47 , , PUNCT fis-4790 42 48 or or CCONJ fis-4790 42 49 optimizers optimizer NOUN fis-4790 42 50 , , PUNCT fis-4790 42 51 as as SCONJ fis-4790 42 52 represented represent VERB fis-4790 42 53 in in ADP fis-4790 42 54 the the DET fis-4790 42 55 literature literature NOUN fis-4790 42 56 [ [ X fis-4790 42 57 20 20 NUM fis-4790 42 58 ] ] PUNCT fis-4790 42 59 , , PUNCT fis-4790 42 60 to to PART fis-4790 42 61 build build VERB fis-4790 42 62 higher high ADJ fis-4790 42 63 accuracy accuracy NOUN fis-4790 42 64 models model NOUN fis-4790 42 65 . . PUNCT fis-4790 43 1 furthermore furthermore ADV fis-4790 43 2 , , PUNCT fis-4790 43 3 a a DET fis-4790 43 4 study study NOUN fis-4790 43 5 demonstrated demonstrate VERB fis-4790 43 6 the the DET fis-4790 43 7 effect effect NOUN fis-4790 43 8 of of ADP fis-4790 43 9 preprocessing preprocesse VERB fis-4790 43 10 methods method NOUN fis-4790 43 11 and and CCONJ fis-4790 43 12 data datum NOUN fis-4790 43 13 normalization normalization NOUN fis-4790 43 14 on on ADP fis-4790 43 15 the the DET fis-4790 43 16 dataset dataset NOUN fis-4790 43 17 used use VERB fis-4790 43 18 in in ADP fis-4790 43 19 this this DET fis-4790 43 20 paper paper NOUN fis-4790 43 21 . . PUNCT fis-4790 44 1 it it PRON fis-4790 44 2 shows show VERB fis-4790 44 3 that that SCONJ fis-4790 44 4 employing employ VERB fis-4790 44 5 preprocessing preprocessing NOUN fis-4790 44 6 methods method NOUN fis-4790 44 7 aligned align VERB fis-4790 44 8 with with ADP fis-4790 44 9 the the DET fis-4790 44 10 physics physics NOUN fis-4790 44 11 of of ADP fis-4790 44 12 fatigue fatigue NOUN fis-4790 44 13 could could AUX fis-4790 44 14 enhance enhance VERB fis-4790 44 15 the the DET fis-4790 44 16 performance performance NOUN fis-4790 44 17 of of ADP fis-4790 44 18 the the DET fis-4790 44 19 models model NOUN fis-4790 44 20 [ [ X fis-4790 44 21 21 21 NUM fis-4790 44 22 ] ] PUNCT fis-4790 44 23 . . PUNCT fis-4790 45 1 this this DET fis-4790 45 2 work work NOUN fis-4790 45 3 innovatively innovatively ADV fis-4790 45 4 investigates investigate VERB fis-4790 45 5 the the DET fis-4790 45 6 influence influence NOUN fis-4790 45 7 of of ADP fis-4790 45 8 various various ADJ fis-4790 45 9 experimental experimental ADJ fis-4790 45 10 and and CCONJ fis-4790 45 11 manufacturing manufacturing NOUN fis-4790 45 12 factors factor NOUN fis-4790 45 13 on on ADP fis-4790 45 14 piston piston NOUN fis-4790 45 15 aluminum aluminum NOUN fis-4790 45 16 alloy alloy NOUN fis-4790 45 17 specimens specimen NOUN fis-4790 45 18 under under ADP fis-4790 45 19 rotational rotational ADJ fis-4790 45 20 bending bend VERB fis-4790 45 21 fatigue fatigue NOUN fis-4790 45 22 tests test NOUN fis-4790 45 23 , , PUNCT fis-4790 45 24 utilizing utilize VERB fis-4790 45 25 ml ml ADP fis-4790 45 26 techniques technique NOUN fis-4790 45 27 to to PART fis-4790 45 28 assess assess VERB fis-4790 45 29 their their PRON fis-4790 45 30 significance significance NOUN fis-4790 45 31 and and CCONJ fis-4790 45 32 interactions interaction NOUN fis-4790 45 33 affecting affect VERB fis-4790 45 34 fatigue fatigue NOUN fis-4790 45 35 lifetime lifetime NOUN fis-4790 45 36 values value NOUN fis-4790 45 37 . . PUNCT fis-4790 46 1 it it PRON fis-4790 46 2 also also ADV fis-4790 46 3 introduces introduce VERB fis-4790 46 4 a a DET fis-4790 46 5 novel novel ADJ fis-4790 46 6 approach approach NOUN fis-4790 46 7 to to ADP fis-4790 46 8 estimating estimate VERB fis-4790 46 9 the the DET fis-4790 46 10 fatigue fatigue NOUN fis-4790 46 11 lifetime lifetime NOUN fis-4790 46 12 under under ADP fis-4790 46 13 the the DET fis-4790 46 14 assumed assume VERB fis-4790 46 15 conditions condition NOUN fis-4790 46 16 , , PUNCT fis-4790 46 17 particularly particularly ADV fis-4790 46 18 significant significant ADJ fis-4790 46 19 for for ADP fis-4790 46 20 the the DET fis-4790 46 21 piston piston NOUN fis-4790 46 22 and and CCONJ fis-4790 46 23 automotive automotive ADJ fis-4790 46 24 manufacturing manufacturing NOUN fis-4790 46 25 industries industry NOUN fis-4790 46 26 . . PUNCT fis-4790 47 1 research research NOUN fis-4790 47 2 methods method NOUN fis-4790 47 3 experimental experimental ADJ fis-4790 47 4 dataset dataset VERB fis-4790 47 5 his his PRON fis-4790 47 6 section section NOUN fis-4790 47 7 explains explain VERB fis-4790 47 8 the the DET fis-4790 47 9 experimental experimental ADJ fis-4790 47 10 dataset dataset NOUN fis-4790 48 1 [ [ X fis-4790 48 2 17 17 NUM fis-4790 48 3 ] ] PUNCT fis-4790 48 4 , , PUNCT fis-4790 48 5 which which PRON fis-4790 48 6 was be AUX fis-4790 48 7 utilized utilize VERB fis-4790 48 8 in in ADP fis-4790 48 9 the the DET fis-4790 48 10 present present ADJ fis-4790 48 11 work work NOUN fis-4790 48 12 . . PUNCT fis-4790 49 1 parast parast NOUN fis-4790 49 2 and and CCONJ fis-4790 49 3 azadi azadi PROPN fis-4790 50 1 [ [ X fis-4790 50 2 17 17 NUM fis-4790 50 3 ] ] PUNCT fis-4790 50 4 examined examine VERB fis-4790 50 5 the the DET fis-4790 50 6 performance performance NOUN fis-4790 50 7 of of ADP fis-4790 50 8 various various ADJ fis-4790 50 9 standard standard ADJ fis-4790 50 10 specimens specimen NOUN fis-4790 50 11 , , PUNCT fis-4790 50 12 following follow VERB fis-4790 50 13 iso-1143 iso-1143 NOUN fis-4790 50 14 , , PUNCT fis-4790 50 15 for for ADP fis-4790 50 16 conducting conduct VERB fis-4790 50 17 corrosion corrosion NOUN fis-4790 50 18 fatigue fatigue NOUN fis-4790 50 19 ( ( PUNCT fis-4790 50 20 cf cf NOUN fis-4790 50 21 ) ) PUNCT fis-4790 50 22 , , PUNCT fis-4790 50 23 pure pure ADJ fis-4790 50 24 fatigue fatigue NOUN fis-4790 50 25 ( ( PUNCT fis-4790 50 26 pf pf NOUN fis-4790 50 27 ) ) PUNCT fis-4790 50 28 , , PUNCT fis-4790 50 29 and and CCONJ fis-4790 50 30 fretting fret VERB fis-4790 50 31 fatigue fatigue NOUN fis-4790 50 32 tests test NOUN fis-4790 50 33 ( ( PUNCT fis-4790 50 34 ff ff NOUN fis-4790 50 35 ) ) PUNCT fis-4790 50 36 , , PUNCT fis-4790 50 37 under under ADP fis-4790 50 38 different different ADJ fis-4790 50 39 inputs input NOUN fis-4790 50 40 . . PUNCT fis-4790 51 1 moreover moreover ADV fis-4790 51 2 , , PUNCT fis-4790 51 3 these these DET fis-4790 51 4 specimens specimen NOUN fis-4790 51 5 were be AUX fis-4790 51 6 fabricated fabricate VERB fis-4790 51 7 with with ADP fis-4790 51 8 an an DET fis-4790 51 9 alloy alloy NOUN fis-4790 51 10 commercially commercially ADV fis-4790 51 11 known know VERB fis-4790 51 12 as as ADP fis-4790 51 13 alsi12cunimg alsi12cunimg NOUN fis-4790 51 14 , , PUNCT fis-4790 51 15 which which PRON fis-4790 51 16 is be AUX fis-4790 51 17 commonly commonly ADV fis-4790 51 18 applicable applicable ADJ fis-4790 51 19 in in ADP fis-4790 51 20 the the DET fis-4790 51 21 piston piston NOUN fis-4790 51 22 manufacturing manufacturing NOUN fis-4790 51 23 industry industry NOUN fis-4790 51 24 . . PUNCT fis-4790 52 1 the the DET fis-4790 52 2 variables variable NOUN fis-4790 52 3 were be AUX fis-4790 52 4 as as SCONJ fis-4790 52 5 follows follow VERB fis-4790 52 6 : : PUNCT fis-4790 52 7 the the DET fis-4790 52 8 stress stress NOUN fis-4790 52 9 level level NOUN fis-4790 52 10 ( ( PUNCT fis-4790 52 11 90 90 NUM fis-4790 52 12 - - SYM fis-4790 52 13 210 210 NUM fis-4790 52 14 mpa mpa NOUN fis-4790 52 15 ) ) PUNCT fis-4790 52 16 , , PUNCT fis-4790 52 17 the the DET fis-4790 52 18 existence existence NOUN fis-4790 52 19 of of ADP fis-4790 52 20 nanoparticles nanoparticle NOUN fis-4790 52 21 for for ADP fis-4790 52 22 the the DET fis-4790 52 23 reinforcement reinforcement NOUN fis-4790 52 24 ( ( PUNCT fis-4790 52 25 true true ADJ fis-4790 52 26 or or CCONJ fis-4790 52 27 false false ADJ fis-4790 52 28 ) ) PUNCT fis-4790 52 29 , , PUNCT fis-4790 52 30 the the DET fis-4790 52 31 presence presence NOUN fis-4790 52 32 of of ADP fis-4790 52 33 t6 t6 PROPN fis-4790 52 34 heat heat NOUN fis-4790 52 35 treatment treatment NOUN fis-4790 52 36 ( ( PUNCT fis-4790 52 37 true true ADJ fis-4790 52 38 or or CCONJ fis-4790 52 39 false false ADJ fis-4790 52 40 ) ) PUNCT fis-4790 52 41 , , PUNCT fis-4790 52 42 the the DET fis-4790 52 43 existence existence NOUN fis-4790 52 44 of of ADP fis-4790 52 45 lubrication lubrication NOUN fis-4790 52 46 ( ( PUNCT fis-4790 52 47 true true ADJ fis-4790 52 48 or or CCONJ fis-4790 52 49 false false ADJ fis-4790 52 50 ) ) PUNCT fis-4790 52 51 , , PUNCT fis-4790 52 52 the the DET fis-4790 52 53 precorrosion precorrosion NOUN fis-4790 52 54 time time NOUN fis-4790 52 55 in in ADP fis-4790 52 56 h2so4 h2so4 PROPN fis-4790 52 57 ( ( PUNCT fis-4790 52 58 0 0 NUM fis-4790 52 59 - - SYM fis-4790 52 60 200 200 NUM fis-4790 52 61 hours hour NOUN fis-4790 52 62 ) ) PUNCT fis-4790 52 63 , , PUNCT fis-4790 52 64 and and CCONJ fis-4790 52 65 the the DET fis-4790 52 66 fretting fret VERB fis-4790 52 67 force force NOUN fis-4790 52 68 ( ( PUNCT fis-4790 52 69 0 0 NUM fis-4790 52 70 - - SYM fis-4790 52 71 20 20 NUM fis-4790 52 72 n n CCONJ fis-4790 52 73 ) ) PUNCT fis-4790 53 1 [ [ X fis-4790 53 2 17 17 NUM fis-4790 53 3 ] ] PUNCT fis-4790 53 4 . . PUNCT fis-4790 54 1 these these DET fis-4790 54 2 experiments experiment NOUN fis-4790 54 3 involved involve VERB fis-4790 54 4 six six NUM fis-4790 54 5 different different ADJ fis-4790 54 6 parameters parameter NOUN fis-4790 54 7 , , PUNCT fis-4790 54 8 and and CCONJ fis-4790 54 9 a a DET fis-4790 54 10 dataset dataset NOUN fis-4790 54 11 with with ADP fis-4790 54 12 147 147 NUM fis-4790 54 13 samples sample NOUN fis-4790 54 14 was be AUX fis-4790 54 15 generated generate VERB fis-4790 54 16 , , PUNCT fis-4790 54 17 with with ADP fis-4790 54 18 the the DET fis-4790 54 19 fatigue fatigue NOUN fis-4790 54 20 lifetime lifetime NOUN fis-4790 54 21 as as ADP fis-4790 54 22 the the DET fis-4790 54 23 output output NOUN fis-4790 54 24 . . PUNCT fis-4790 55 1 tab tab NOUN fis-4790 55 2 . . PUNCT fis-4790 56 1 1 1 NUM fis-4790 56 2 briefly briefly NOUN fis-4790 56 3 demonstrates demonstrate VERB fis-4790 56 4 the the DET fis-4790 56 5 dataset dataset NOUN fis-4790 56 6 used use VERB fis-4790 56 7 in in ADP fis-4790 56 8 this this DET fis-4790 56 9 paper paper NOUN fis-4790 56 10 for for ADP fis-4790 56 11 147 147 NUM fis-4790 56 12 data datum NOUN fis-4790 56 13 points point NOUN fis-4790 56 14 . . PUNCT fis-4790 57 1 t t PROPN fis-4790 57 2 m. m. NOUN fis-4790 57 3 matin matin PROPN fis-4790 57 4 et et PROPN fis-4790 57 5 alii alii PROPN fis-4790 57 6 , , PUNCT fis-4790 57 7 frattura frattura PROPN fis-4790 57 8 ed ed PROPN fis-4790 57 9 integrità integrità PROPN fis-4790 57 10 strutturale strutturale PROPN fis-4790 57 11 , , PUNCT fis-4790 57 12 68 68 NUM fis-4790 57 13 ( ( PUNCT fis-4790 57 14 2024 2024 NUM fis-4790 57 15 ) ) PUNCT fis-4790 57 16 357 357 NUM fis-4790 57 17 - - SYM fis-4790 57 18 370 370 NUM fis-4790 57 19 ; ; PUNCT fis-4790 57 20 doi doi NOUN fis-4790 57 21 : : PUNCT fis-4790 57 22 10.3221 10.3221 NUM fis-4790 57 23 / / SYM fis-4790 57 24 igf igf PROPN fis-4790 57 25 - - PUNCT fis-4790 57 26 esis.68.24 esis.68.24 PROPN fis-4790 57 27 359 359 NUM fis-4790 57 28 mean mean NOUN fis-4790 57 29 max max PROPN fis-4790 57 30 value value NOUN fis-4790 57 31 min min PROPN fis-4790 57 32 value value NOUN fis-4790 57 33 units unit NOUN fis-4790 57 34 / / SYM fis-4790 57 35 boolean boolean ADJ fis-4790 57 36 label label NOUN fis-4790 57 37 4.83 4.83 NUM fis-4790 57 38 20 20 NUM fis-4790 57 39 0 0 NUM fis-4790 57 40 n n CCONJ fis-4790 57 41 fretting fret VERB fis-4790 57 42 force force NOUN fis-4790 57 43 features feature VERB fis-4790 57 44 76.19 76.19 NUM fis-4790 57 45 200 200 NUM fis-4790 57 46 0 0 NUM fis-4790 57 47 hr hr NOUN fis-4790 57 48 corrosion corrosion NOUN fis-4790 57 49 time time NOUN fis-4790 57 50 158.57 158.57 NUM fis-4790 57 51 210 210 NUM fis-4790 57 52 90 90 NUM fis-4790 57 53 mpa mpa NOUN fis-4790 57 54 stress stress VERB fis-4790 57 55 true true ADJ fis-4790 57 56 false false ADJ fis-4790 57 57 boolean boolean ADJ fis-4790 57 58 nano nano NOUN fis-4790 57 59 - - PUNCT fis-4790 57 60 particle particle NOUN fis-4790 57 61 true true ADJ fis-4790 57 62 false false ADJ fis-4790 57 63 boolean boolean ADJ fis-4790 57 64 heat heat NOUN fis-4790 57 65 - - PUNCT fis-4790 57 66 treating treat VERB fis-4790 57 67 true true ADJ fis-4790 57 68 false false ADJ fis-4790 57 69 boolean boolean ADJ fis-4790 57 70 lubrication lubrication NOUN fis-4790 57 71 77336 77336 NUM fis-4790 57 72 1398100 1398100 NUM fis-4790 57 73 500 500 NUM fis-4790 57 74 cycle cycle NOUN fis-4790 57 75 fatigue fatigue NOUN fis-4790 57 76 lifetime lifetime NOUN fis-4790 57 77 target target NOUN fis-4790 57 78 table table NOUN fis-4790 57 79 1 1 NUM fis-4790 57 80 : : PUNCT fis-4790 57 81 the the DET fis-4790 57 82 dataset dataset NOUN fis-4790 57 83 in in ADP fis-4790 57 84 brief brief NOUN fis-4790 57 85 . . PUNCT fis-4790 58 1 fig fig NOUN fis-4790 58 2 . . PUNCT fis-4790 59 1 1 1 NUM fis-4790 59 2 illustrates illustrate VERB fis-4790 59 3 the the DET fis-4790 59 4 standard standard ADJ fis-4790 59 5 iso-1143 iso-1143 NOUN fis-4790 59 6 specimens specimen NOUN fis-4790 59 7 used use VERB fis-4790 59 8 in in ADP fis-4790 59 9 the the DET fis-4790 59 10 rotational rotational ADJ fis-4790 59 11 bending bend VERB fis-4790 59 12 fatigue fatigue NOUN fis-4790 59 13 testing testing NOUN fis-4790 59 14 machine machine NOUN fis-4790 59 15 , , PUNCT fis-4790 59 16 within within ADP fis-4790 59 17 this this DET fis-4790 59 18 experimental experimental ADJ fis-4790 59 19 dataset dataset NOUN fis-4790 59 20 [ [ X fis-4790 59 21 17 17 NUM fis-4790 59 22 ] ] PUNCT fis-4790 59 23 . . PUNCT fis-4790 60 1 additionally additionally ADV fis-4790 60 2 , , PUNCT fis-4790 60 3 fig fig NOUN fis-4790 60 4 . . PUNCT fis-4790 61 1 2 2 NUM fis-4790 61 2 depicts depict VERB fis-4790 61 3 the the DET fis-4790 61 4 rotational rotational ADJ fis-4790 61 5 stress stress NOUN fis-4790 61 6 - - PUNCT fis-4790 61 7 controlled control VERB fis-4790 61 8 fatigue fatigue NOUN fis-4790 61 9 testing testing NOUN fis-4790 61 10 machine machine NOUN fis-4790 61 11 under under ADP fis-4790 61 12 bending bend VERB fis-4790 61 13 loads load NOUN fis-4790 61 14 and and CCONJ fis-4790 61 15 equipped equip VERB fis-4790 61 16 with with ADP fis-4790 61 17 a a DET fis-4790 61 18 fretting fret VERB fis-4790 61 19 module module NOUN fis-4790 61 20 [ [ X fis-4790 61 21 17 17 NUM fis-4790 61 22 ] ] PUNCT fis-4790 61 23 . . PUNCT fis-4790 62 1 figure figure NOUN fis-4790 62 2 1 1 NUM fis-4790 62 3 : : PUNCT fis-4790 62 4 the the DET fis-4790 62 5 shape shape NOUN fis-4790 62 6 and and CCONJ fis-4790 62 7 dimensions dimension NOUN fis-4790 62 8 of of ADP fis-4790 62 9 specimens specimen NOUN fis-4790 62 10 in in ADP fis-4790 62 11 the the DET fis-4790 62 12 experimental experimental ADJ fis-4790 62 13 dataset dataset NOUN fis-4790 62 14 for for ADP fis-4790 62 15 the the DET fis-4790 62 16 rotary rotary NOUN fis-4790 62 17 bending bend VERB fis-4790 62 18 fatigue fatigue NOUN fis-4790 62 19 test test NOUN fis-4790 62 20 ( ( PUNCT fis-4790 62 21 units unit NOUN fis-4790 62 22 in in ADP fis-4790 62 23 mm mm PROPN fis-4790 62 24 ) ) PUNCT fis-4790 63 1 [ [ X fis-4790 63 2 17 17 NUM fis-4790 63 3 ] ] PUNCT fis-4790 63 4 . . PUNCT fis-4790 64 1 figure figure NOUN fis-4790 64 2 2 2 NUM fis-4790 64 3 : : PUNCT fis-4790 64 4 the the DET fis-4790 64 5 rotational rotational ADJ fis-4790 64 6 stress stress NOUN fis-4790 64 7 - - PUNCT fis-4790 64 8 controlled control VERB fis-4790 64 9 fatigue fatigue NOUN fis-4790 64 10 testing testing NOUN fis-4790 64 11 machine machine NOUN fis-4790 64 12 under under ADP fis-4790 64 13 bending bend VERB fis-4790 64 14 loads load NOUN fis-4790 64 15 with with ADP fis-4790 64 16 a a DET fis-4790 64 17 fretting fret VERB fis-4790 64 18 module module NOUN fis-4790 64 19 [ [ X fis-4790 64 20 17 17 NUM fis-4790 64 21 ] ] PUNCT fis-4790 64 22 . . PUNCT fis-4790 65 1 modeling model VERB fis-4790 65 2 techniques technique NOUN fis-4790 65 3 pearson pearson PROPN fis-4790 65 4 's 's PART fis-4790 65 5 correlation correlation NOUN fis-4790 65 6 coefficient coefficient NOUN fis-4790 65 7 is be AUX fis-4790 65 8 described describe VERB fis-4790 65 9 to to PART fis-4790 65 10 measure measure VERB fis-4790 65 11 the the DET fis-4790 65 12 linear linear ADJ fis-4790 65 13 relationship relationship NOUN fis-4790 65 14 between between ADP fis-4790 65 15 variables variable NOUN fis-4790 65 16 to to PART fis-4790 65 17 predict predict VERB fis-4790 65 18 the the DET fis-4790 65 19 value value NOUN fis-4790 65 20 of of ADP fis-4790 65 21 one one NUM fis-4790 65 22 attribute attribute NOUN fis-4790 65 23 based base VERB fis-4790 65 24 on on ADP fis-4790 65 25 another another PRON fis-4790 65 26 . . PUNCT fis-4790 66 1 in in ADP fis-4790 66 2 order order NOUN fis-4790 66 3 to to PART fis-4790 66 4 calculate calculate VERB fis-4790 66 5 the the DET fis-4790 66 6 pearson pearson NOUN fis-4790 66 7 correlation correlation NOUN fis-4790 66 8 coefficient coefficient NOUN fis-4790 66 9 between between ADP fis-4790 66 10 two two NUM fis-4790 66 11 variables variable NOUN fis-4790 66 12 ( ( PUNCT fis-4790 66 13 a a DET fis-4790 66 14 , , PUNCT fis-4790 66 15 b b NOUN fis-4790 66 16 ) ) PUNCT fis-4790 66 17 , , PUNCT fis-4790 66 18 the the DET fis-4790 66 19 following follow VERB fis-4790 66 20 equation equation NOUN fis-4790 66 21 can can AUX fis-4790 66 22 be be AUX fis-4790 66 23 utilized utilize VERB fis-4790 66 24 [ [ PUNCT fis-4790 66 25 22 22 NUM fis-4790 66 26 ] ] X fis-4790 66 27 : : PUNCT fis-4790 66 28   NOUN fis-4790 66 29   PROPN fis-4790 66 30   PROPN fis-4790 66 31   PROPN fis-4790 66 32 , , PUNCT fis-4790 66 33     SPACE fis-4790 66 34 , , PUNCT fis-4790 66 35     SPACE fis-4790 66 36 a a DET fis-4790 66 37 b b PROPN fis-4790 66 38 e e NOUN fis-4790 66 39 a a PRON fis-4790 66 40 b b NOUN fis-4790 66 41 p p NOUN fis-4790 66 42 a a DET fis-4790 66 43 b b NOUN fis-4790 66 44   X fis-4790 66 45   PROPN fis-4790 66 46   NOUN fis-4790 66 47 ( ( PUNCT fis-4790 66 48 1 1 NUM fis-4790 66 49 ) ) PUNCT fis-4790 66 50 where where SCONJ fis-4790 66 51   NOUN fis-4790 66 52 ,p ,p PRON fis-4790 66 53 a a DET fis-4790 66 54 b b NOUN fis-4790 66 55 represents represent VERB fis-4790 66 56 the the DET fis-4790 66 57 pearson pearson PROPN fis-4790 66 58 correlation correlation NOUN fis-4790 66 59 coefficient coefficient NOUN fis-4790 66 60 between between ADP fis-4790 66 61 a a PRON fis-4790 66 62 and and CCONJ fis-4790 66 63 b b NOUN fis-4790 66 64 , , PUNCT fis-4790 66 65   PROPN fis-4790 66 66 ,e ,e NOUN fis-4790 66 67 a a DET fis-4790 66 68 b b NOUN fis-4790 66 69 denotes denote NOUN fis-4790 66 70 cross cross VERB fis-4790 66 71 correlation correlation NOUN fis-4790 66 72 , , PUNCT fis-4790 66 73 in in ADP fis-4790 66 74 addition addition NOUN fis-4790 66 75 to to ADP fis-4790 66 76 2 2 NUM fis-4790 66 77 a a NOUN fis-4790 66 78 and and CCONJ fis-4790 66 79 2 2 NUM fis-4790 66 80 b b NOUN fis-4790 66 81 are be AUX fis-4790 66 82 variances variance NOUN fis-4790 66 83 of of ADP fis-4790 66 84 a a DET fis-4790 66 85 and and CCONJ fis-4790 66 86 b. b. PROPN fis-4790 66 87 m. m. PROPN fis-4790 66 88 matin matin PROPN fis-4790 66 89 et et PROPN fis-4790 66 90 alii alii PROPN fis-4790 66 91 , , PUNCT fis-4790 66 92 frattura frattura PROPN fis-4790 66 93 ed ed PROPN fis-4790 66 94 integrità integrità PROPN fis-4790 66 95 strutturale strutturale PROPN fis-4790 66 96 , , PUNCT fis-4790 66 97 68 68 NUM fis-4790 66 98 ( ( PUNCT fis-4790 66 99 2024 2024 NUM fis-4790 66 100 ) ) PUNCT fis-4790 66 101 357 357 NUM fis-4790 66 102 - - SYM fis-4790 66 103 370 370 NUM fis-4790 66 104 ; ; PUNCT fis-4790 66 105 doi doi NOUN fis-4790 66 106 : : PUNCT fis-4790 66 107 10.3221 10.3221 NUM fis-4790 66 108 / / SYM fis-4790 66 109 igf igf PROPN fis-4790 66 110 - - PROPN fis-4790 66 111 esis.68.24 esis.68.24 PROPN fis-4790 66 112 360 360 NUM fis-4790 66 113 shapely shapely ADV fis-4790 66 114 additive additive ADJ fis-4790 66 115 explanations explanation NOUN fis-4790 66 116 ( ( PUNCT fis-4790 66 117 shap shap NOUN fis-4790 66 118 ) ) PUNCT fis-4790 66 119 values value NOUN fis-4790 66 120 consumption consumption NOUN fis-4790 66 121 is be AUX fis-4790 66 122 a a DET fis-4790 66 123 method method NOUN fis-4790 66 124 grounded ground VERB fis-4790 66 125 in in ADP fis-4790 66 126 cooperative cooperative ADJ fis-4790 66 127 game game NOUN fis-4790 66 128 theory theory NOUN fis-4790 66 129 to to PART fis-4790 66 130 model model VERB fis-4790 66 131 interpretability interpretability NOUN fis-4790 66 132 [ [ X fis-4790 66 133 23 23 NUM fis-4790 66 134 ] ] PUNCT fis-4790 66 135 . . PUNCT fis-4790 67 1 eqn eqn PROPN fis-4790 67 2 . . PUNCT fis-4790 68 1 ( ( PUNCT fis-4790 68 2 2 2 X fis-4790 68 3 ) ) PUNCT fis-4790 68 4 can can AUX fis-4790 68 5 be be AUX fis-4790 68 6 utilized utilize VERB fis-4790 68 7 to to PART fis-4790 68 8 determine determine VERB fis-4790 68 9 shap shap PROPN fis-4790 68 10 values value NOUN fis-4790 68 11 ( ( PUNCT fis-4790 68 12 i i X fis-4790 68 13 ) ) PUNCT fis-4790 68 14 for for ADP fis-4790 68 15 each each DET fis-4790 68 16 feature feature NOUN fis-4790 68 17 [ [ X fis-4790 68 18 24 24 NUM fis-4790 68 19 ] ] PUNCT fis-4790 68 20 , , PUNCT fis-4790 68 21 as as SCONJ fis-4790 68 22 follows follow VERB fis-4790 68 23 , , PUNCT fis-4790 68 24   PROPN fis-4790 68 25   PROPN fis-4790 68 26   NOUN fis-4790 68 27   PUNCT fis-4790 68 28   PROPN fis-4790 68 29   PROPN fis-4790 68 30   PROPN fis-4790 68 31   NOUN fis-4790 68 32   PROPN fis-4790 68 33   NOUN fis-4790 68 34   PUNCT fis-4790 68 35 / / PUNCT fis-4790 68 36 ! ! PUNCT fis-4790 68 37 ! ! PUNCT fis-4790 69 1 1 1 X fis-4790 69 2 ! ! PUNCT fis-4790 69 3 ! ! PUNCT fis-4790 70 1 i i PRON fis-4790 70 2 s s VERB fis-4790 70 3 as as SCONJ fis-4790 70 4 i i PRON fis-4790 70 5 s s VERB fis-4790 71 1 i i PRON fis-4790 71 2 s s VERB fis-4790 71 3 f f X fis-4790 72 1 i i PRON fis-4790 72 2 s s VERB fis-4790 72 3 f f PROPN fis-4790 72 4 s s PROPN fis-4790 72 5 f f NOUN fis-4790 72 6 x x SYM fis-4790 72 7 f f PROPN fis-4790 72 8 x x X fis-4790 72 9 f f PROPN fis-4790 72 10   PROPN fis-4790 72 11   PROPN fis-4790 72 12   PROPN fis-4790 72 13   PROPN fis-4790 72 14   PROPN fis-4790 72 15   PROPN fis-4790 72 16   PROPN fis-4790 72 17   PROPN fis-4790 72 18   NOUN fis-4790 72 19   NOUN fis-4790 72 20 ( ( PUNCT fis-4790 72 21 2 2 NUM fis-4790 72 22 ) ) PUNCT fis-4790 72 23 where where SCONJ fis-4790 72 24 f f PROPN fis-4790 72 25 represents represent VERB fis-4790 72 26 the the DET fis-4790 72 27 model model NOUN fis-4790 72 28 with with ADP fis-4790 72 29 all all PRON fis-4790 72 30 of of ADP fis-4790 72 31 its its PRON fis-4790 72 32 including include VERB fis-4790 72 33 features feature NOUN fis-4790 72 34 , , PUNCT fis-4790 72 35 s s VERB fis-4790 72 36 is be AUX fis-4790 72 37 a a DET fis-4790 72 38 specific specific ADJ fis-4790 72 39 subset subset NOUN fis-4790 72 40 of of ADP fis-4790 72 41 the the DET fis-4790 72 42 model model NOUN fis-4790 72 43 , , PUNCT fis-4790 72 44   PROPN fis-4790 72 45   PROPN fis-4790 72 46     SPACE fis-4790 72 47 s s PART fis-4790 72 48 i i NOUN fis-4790 72 49 denotes denote NOUN fis-4790 72 50 the the DET fis-4790 72 51 union union NOUN fis-4790 72 52 of of ADP fis-4790 72 53 s s PRON fis-4790 72 54 and and CCONJ fis-4790 72 55 every every DET fis-4790 72 56 single single ADJ fis-4790 72 57 feature feature NOUN fis-4790 72 58 ( ( PUNCT fis-4790 72 59 i i PRON fis-4790 72 60 feature feature VERB fis-4790 72 61 ) ) PUNCT fis-4790 72 62 , , PUNCT fis-4790 72 63 as as ADV fis-4790 72 64 well well ADV fis-4790 72 65 as as ADP fis-4790 72 66 the the DET fis-4790 72 67 model model NOUN fis-4790 72 68 prediction prediction NOUN fis-4790 72 69 including include VERB fis-4790 72 70 i i PRON fis-4790 72 71 feature feature NOUN fis-4790 72 72 is be AUX fis-4790 72 73 represented represent VERB fis-4790 72 74 by by ADP fis-4790 72 75   PROPN fis-4790 72 76   PROPN fis-4790 72 77   PROPN fis-4790 72 78   NOUN fis-4790 72 79 s s PUNCT fis-4790 73 1 i i PRON fis-4790 73 2 s s VERB fis-4790 73 3 if if SCONJ fis-4790 73 4 x x PROPN fis-4790 73 5   NOUN fis-4790 73 6 , , PUNCT fis-4790 73 7 by by ADP fis-4790 73 8 contrast contrast NOUN fis-4790 73 9 , , PUNCT fis-4790 73 10   PROPN fis-4790 73 11 s s PROPN fis-4790 73 12 sf sf NOUN fis-4790 73 13 x x VERB fis-4790 73 14 is be AUX fis-4790 73 15 prediction prediction NOUN fis-4790 73 16 without without SCONJ fis-4790 73 17 i i PRON fis-4790 73 18 feature feature VERB fis-4790 73 19 consideration consideration NOUN fis-4790 73 20 , , PUNCT fis-4790 73 21 moreover moreover ADV fis-4790 73 22 predicted predict VERB fis-4790 73 23 value value NOUN fis-4790 73 24 from from ADP fis-4790 73 25 all all DET fis-4790 73 26 features feature NOUN fis-4790 73 27 can can AUX fis-4790 73 28 be be AUX fis-4790 73 29 obtained obtain VERB fis-4790 73 30 by by ADP fis-4790 73 31 [ [ X fis-4790 73 32 24 24 NUM fis-4790 73 33 ] ] PUNCT fis-4790 73 34 , , PUNCT fis-4790 74 1 0 0 NUM fis-4790 74 2 1 1 NUM fis-4790 74 3 ˆ ˆ NOUN fis-4790 74 4 ˆ ˆ PROPN fis-4790 75 1 n n ADV fis-4790 76 1 i i PRON fis-4790 77 1 i i VERB fis-4790 77 2 y y VERB fis-4790 77 3 y y PROPN fis-4790 77 4   PROPN fis-4790 77 5   PROPN fis-4790 77 6   PROPN fis-4790 77 7   NOUN fis-4790 77 8 ( ( PUNCT fis-4790 77 9 3 3 NUM fis-4790 77 10 ) ) PUNCT fis-4790 77 11 where where SCONJ fis-4790 77 12 ŷ ŷ NUM fis-4790 77 13 represents represent VERB fis-4790 77 14 the the DET fis-4790 77 15 estimated estimate VERB fis-4790 77 16 value value NOUN fis-4790 77 17 , , PUNCT fis-4790 77 18 while while SCONJ fis-4790 77 19 ŷ ŷ NUM fis-4790 77 20 0 0 NUM fis-4790 77 21 determines determine VERB fis-4790 77 22 the the DET fis-4790 77 23 prediction prediction NOUN fis-4790 77 24 regardless regardless ADV fis-4790 77 25 of of ADP fis-4790 77 26 features feature NOUN fis-4790 77 27 impact impact NOUN fis-4790 77 28 . . PUNCT fis-4790 78 1 xgboost xgboost PROPN fis-4790 78 2 is be AUX fis-4790 78 3 a a DET fis-4790 78 4 scalable scalable ADJ fis-4790 78 5 tree tree NOUN fis-4790 78 6 - - PUNCT fis-4790 78 7 boosting boost VERB fis-4790 78 8 algorithm algorithm NOUN fis-4790 78 9 , , PUNCT fis-4790 78 10 which which PRON fis-4790 78 11 is be AUX fis-4790 78 12 very very ADV fis-4790 78 13 powerful powerful ADJ fis-4790 78 14 and and CCONJ fis-4790 78 15 fast fast VERB fis-4790 78 16 for for ADP fis-4790 78 17 applications application NOUN fis-4790 78 18 in in ADP fis-4790 78 19 ml ml ADP fis-4790 78 20 challenges challenge NOUN fis-4790 78 21 . . PUNCT fis-4790 79 1 the the DET fis-4790 79 2 operation operation NOUN fis-4790 79 3 of of ADP fis-4790 79 4 this this DET fis-4790 79 5 algorithm algorithm NOUN fis-4790 79 6 builds build VERB fis-4790 79 7 decision decision NOUN fis-4790 79 8 trees tree NOUN fis-4790 79 9 one one NUM fis-4790 79 10 after after ADP fis-4790 79 11 the the DET fis-4790 79 12 other other ADJ fis-4790 79 13 and and CCONJ fis-4790 79 14 corrects correct VERB fis-4790 79 15 the the DET fis-4790 79 16 mistakes mistake NOUN fis-4790 79 17 of of ADP fis-4790 79 18 the the DET fis-4790 79 19 previous previous ADJ fis-4790 79 20 trees tree NOUN fis-4790 79 21 . . PUNCT fis-4790 80 1 eqn eqn PROPN fis-4790 80 2 . . PUNCT fis-4790 81 1 ( ( PUNCT fis-4790 81 2 4 4 X fis-4790 81 3 ) ) PUNCT fis-4790 81 4 represents represent VERB fis-4790 81 5 the the DET fis-4790 81 6 objective objective NOUN fis-4790 81 7 which which PRON fis-4790 81 8 is be AUX fis-4790 81 9 to to PART fis-4790 81 10 minimize minimize VERB fis-4790 81 11 the the DET fis-4790 81 12 regularization regularization NOUN fis-4790 81 13 [ [ X fis-4790 81 14 25 25 NUM fis-4790 81 15 ] ] PUNCT fis-4790 81 16 , , PUNCT fis-4790 81 17   PROPN fis-4790 81 18   SYM fis-4790 81 19   NOUN fis-4790 81 20   PUNCT fis-4790 81 21 1 1 NUM fis-4790 81 22 1 1 NUM fis-4790 81 23     SPACE fis-4790 81 24 ˆ ˆ NOUN fis-4790 81 25 , , PUNCT fis-4790 81 26 n n CCONJ fis-4790 82 1 k k NOUN fis-4790 83 1 i i PRON fis-4790 84 1 i i INTJ fis-4790 84 2 k k VERB fis-4790 85 1 i i PRON fis-4790 85 2 j j PROPN fis-4790 86 1 obj obj PROPN fis-4790 86 2 l l PROPN fis-4790 87 1 y y PROPN fis-4790 87 2 y y PROPN fis-4790 87 3 f f PROPN fis-4790 88 1   NUM fis-4790 89 1   NUM fis-4790 89 2   PROPN fis-4790 89 3   NOUN fis-4790 89 4 ω ω NOUN fis-4790 89 5 ( ( PUNCT fis-4790 89 6 4 4 NUM fis-4790 89 7 ) ) PUNCT fis-4790 89 8 where where SCONJ fis-4790 89 9   ADV fis-4790 89 10   PROPN fis-4790 89 11     SPACE fis-4790 89 12 , , PUNCT fis-4790 89 13 i i PRON fis-4790 89 14 il il VERB fis-4790 89 15 y y PROPN fis-4790 89 16 y y PROPN fis-4790 89 17 presents present VERB fis-4790 89 18 the the DET fis-4790 89 19 discrepancy discrepancy NOUN fis-4790 89 20 between between ADP fis-4790 89 21 the the DET fis-4790 89 22 actual actual ADJ fis-4790 89 23 and and CCONJ fis-4790 89 24 predicted predict VERB fis-4790 89 25 values value NOUN fis-4790 89 26 , , PUNCT fis-4790 89 27   PROPN fis-4790 89 28 fjω fjω PROPN fis-4790 89 29 and and CCONJ fis-4790 89 30 k k PROPN fis-4790 89 31 are be AUX fis-4790 89 32 determined determine VERB fis-4790 89 33 as as ADP fis-4790 89 34 regularization regularization NOUN fis-4790 89 35 terms term NOUN fis-4790 89 36 and and CCONJ fis-4790 89 37 additive additive ADJ fis-4790 89 38 numbers number NOUN fis-4790 89 39 of of ADP fis-4790 89 40 trees tree NOUN fis-4790 89 41 , , PUNCT fis-4790 89 42 respectively respectively ADV fis-4790 89 43 . . PUNCT fis-4790 90 1 rf rf PRON fis-4790 90 2 is be AUX fis-4790 90 3 a a DET fis-4790 90 4 supervised supervised ADJ fis-4790 90 5 learning learning NOUN fis-4790 90 6 algorithm algorithm NOUN fis-4790 90 7 . . PUNCT fis-4790 91 1 rf rf PRON fis-4790 91 2 has have AUX fis-4790 91 3 appeared appear VERB fis-4790 91 4 as as ADP fis-4790 91 5 a a DET fis-4790 91 6 versatile versatile ADJ fis-4790 91 7 method method NOUN fis-4790 91 8 for for ADP fis-4790 91 9 classification classification NOUN fis-4790 91 10 and and CCONJ fis-4790 91 11 regression regression NOUN fis-4790 91 12 problems problem NOUN fis-4790 91 13 , , PUNCT fis-4790 91 14 as as ADV fis-4790 91 15 well well ADV fis-4790 91 16 as as SCONJ fis-4790 91 17 it it PRON fis-4790 91 18 integrates integrate VERB fis-4790 91 19 weak weak ADJ fis-4790 91 20 classifiers classifier NOUN fis-4790 91 21 to to PART fis-4790 91 22 provide provide VERB fis-4790 91 23 optimal optimal ADJ fis-4790 91 24 outcomes outcome NOUN fis-4790 91 25 for for ADP fis-4790 91 26 complex complex ADJ fis-4790 91 27 tasks task NOUN fis-4790 91 28 [ [ X fis-4790 91 29 26 26 NUM fis-4790 91 30 ] ] PUNCT fis-4790 91 31 . . PUNCT fis-4790 92 1 random random ADJ fis-4790 92 2 forest forest NOUN fis-4790 92 3 builds build VERB fis-4790 92 4 a a DET fis-4790 92 5 collection collection NOUN fis-4790 92 6 of of ADP fis-4790 92 7 j j PROPN fis-4790 92 8 number number NOUN fis-4790 92 9 of of ADP fis-4790 92 10 decision decision NOUN fis-4790 92 11 trees tree NOUN fis-4790 92 12 ; ; PUNCT fis-4790 92 13 consequently consequently ADV fis-4790 92 14 , , PUNCT fis-4790 92 15 the the DET fis-4790 92 16 overall overall ADJ fis-4790 92 17 prediction prediction NOUN fis-4790 92 18 for for ADP fis-4790 92 19 input input NOUN fis-4790 92 20 x x NOUN fis-4790 92 21 , , PUNCT fis-4790 92 22 as as ADV fis-4790 92 23 well well ADV fis-4790 92 24 as as ADP fis-4790 92 25 the the DET fis-4790 92 26 prediction prediction NOUN fis-4790 92 27 for for ADP fis-4790 92 28 the the DET fis-4790 92 29 j j PROPN fis-4790 92 30 - - PUNCT fis-4790 92 31 th th VERB fis-4790 92 32 decision decision NOUN fis-4790 92 33 tree tree NOUN fis-4790 92 34 for for ADP fis-4790 92 35 input input NOUN fis-4790 92 36 x x X fis-4790 92 37 , , PUNCT fis-4790 92 38 can can AUX fis-4790 92 39 be be AUX fis-4790 92 40 demonstrated demonstrate VERB fis-4790 92 41 as as ADP fis-4790 92 42   NOUN fis-4790 92 43 f f PROPN fis-4790 92 44 x x SYM fis-4790 92 45 and and CCONJ fis-4790 92 46   PROPN fis-4790 92 47 jh jh PRON fis-4790 92 48 x x SYM fis-4790 92 49 , , PUNCT fis-4790 92 50 respectively respectively ADV fis-4790 92 51 , , PUNCT fis-4790 92 52 in in ADP fis-4790 92 53 the the DET fis-4790 92 54 following follow VERB fis-4790 92 55 equation equation NOUN fis-4790 92 56 [ [ X fis-4790 92 57 27 27 NUM fis-4790 92 58 ] ] PUNCT fis-4790 92 59 . . PUNCT fis-4790 93 1   NOUN fis-4790 94 1   PUNCT fis-4790 94 2   NOUN fis-4790 94 3   NOUN fis-4790 94 4 1 1 NUM fis-4790 94 5 1 1 NUM fis-4790 94 6     SPACE fis-4790 94 7 j j PROPN fis-4790 95 1 j j PROPN fis-4790 95 2 j j PROPN fis-4790 95 3 f f PROPN fis-4790 95 4 x x SYM fis-4790 95 5 h h NOUN fis-4790 96 1 x x X fis-4790 96 2 j j PROPN fis-4790 97 1   NOUN fis-4790 97 2   VERB fis-4790 97 3   X fis-4790 97 4 ( ( PUNCT fis-4790 97 5 5 5 X fis-4790 97 6 ) ) PUNCT fis-4790 97 7 svr svr PROPN fis-4790 97 8 belongs belong VERB fis-4790 97 9 to to ADP fis-4790 97 10 the the DET fis-4790 97 11 category category NOUN fis-4790 97 12 of of ADP fis-4790 97 13 supervised supervised ADJ fis-4790 97 14 ml ml NOUN fis-4790 97 15 techniques technique NOUN fis-4790 97 16 . . PUNCT fis-4790 98 1 moreover moreover ADV fis-4790 98 2 , , PUNCT fis-4790 98 3 the the DET fis-4790 98 4 effective effective ADJ fis-4790 98 5 proficiency proficiency NOUN fis-4790 98 6 of of ADP fis-4790 98 7 the the DET fis-4790 98 8 generalization generalization NOUN fis-4790 98 9 is be AUX fis-4790 98 10 one one NUM fis-4790 98 11 of of ADP fis-4790 98 12 its its PRON fis-4790 98 13 distinguishing distinguish VERB fis-4790 98 14 features feature NOUN fis-4790 98 15 [ [ X fis-4790 98 16 28 28 NUM fis-4790 98 17 ] ] PUNCT fis-4790 98 18 . . PUNCT fis-4790 99 1 the the DET fis-4790 99 2 svr svr PROPN fis-4790 99 3 prediction prediction NOUN fis-4790 99 4 target target NOUN fis-4790 99 5 for for ADP fis-4790 99 6 a a DET fis-4790 99 7 given give VERB fis-4790 99 8 input input NOUN fis-4790 99 9 x x PUNCT fis-4790 99 10 represents represent VERB fis-4790 99 11   NOUN fis-4790 99 12 f f PROPN fis-4790 99 13 x x SYM fis-4790 99 14 , , PUNCT fis-4790 99 15 and and CCONJ fis-4790 99 16 it it PRON fis-4790 99 17 can can AUX fis-4790 99 18 be be AUX fis-4790 99 19 calculated calculate VERB fis-4790 99 20 using use VERB fis-4790 99 21 the the DET fis-4790 99 22 following follow VERB fis-4790 99 23 equation equation NOUN fis-4790 99 24 [ [ X fis-4790 99 25 29 29 NUM fis-4790 99 26 ] ] SYM fis-4790 99 27 : : PUNCT fis-4790 99 28   PROPN fis-4790 99 29 y y PUNCT fis-4790 99 30 w w NOUN fis-4790 99 31 x x PROPN fis-4790 99 32 b b NOUN fis-4790 99 33   PROPN fis-4790 99 34   X fis-4790 99 35 ( ( PUNCT fis-4790 99 36 6 6 NUM fis-4790 99 37 ) ) PUNCT fis-4790 99 38 where where SCONJ fis-4790 99 39 w w NOUN fis-4790 99 40 represents represent VERB fis-4790 99 41 the the DET fis-4790 99 42 weight weight NOUN fis-4790 99 43 vector vector NOUN fis-4790 99 44 , , PUNCT fis-4790 99 45   PROPN fis-4790 99 46 x x PROPN fis-4790 99 47 denotes denote VERB fis-4790 99 48 the the DET fis-4790 99 49 feature feature NOUN fis-4790 99 50 mapping mapping NOUN fis-4790 99 51 of of ADP fis-4790 99 52 the the DET fis-4790 99 53 input input NOUN fis-4790 99 54 x x NOUN fis-4790 99 55 , , PUNCT fis-4790 99 56 and and CCONJ fis-4790 99 57 b b NOUN fis-4790 99 58 is be AUX fis-4790 99 59 the the DET fis-4790 99 60 bias bias NOUN fis-4790 99 61 term term NOUN fis-4790 99 62 . . PUNCT fis-4790 100 1 nonlinear nonlinear ADJ fis-4790 100 2 regression regression NOUN fis-4790 100 3 modeling modeling NOUN fis-4790 100 4 ( ( PUNCT fis-4790 100 5 nrm nrm NOUN fis-4790 100 6 ) ) PUNCT fis-4790 100 7 represents represent VERB fis-4790 100 8 a a DET fis-4790 100 9 type type NOUN fis-4790 100 10 of of ADP fis-4790 100 11 statistical statistical ADJ fis-4790 100 12 regression regression NOUN fis-4790 100 13 . . PUNCT fis-4790 101 1 this this DET fis-4790 101 2 method method NOUN fis-4790 101 3 analyzes analyze VERB fis-4790 101 4 the the DET fis-4790 101 5 relationship relationship NOUN fis-4790 101 6 between between ADP fis-4790 101 7 dependent dependent ADJ fis-4790 101 8 parameters parameter NOUN fis-4790 101 9 and and CCONJ fis-4790 101 10 one one NUM fis-4790 101 11 or or CCONJ fis-4790 101 12 more more ADV fis-4790 101 13 independent independent ADJ fis-4790 101 14 parameters parameter NOUN fis-4790 101 15 when when SCONJ fis-4790 101 16 they they PRON fis-4790 101 17 do do AUX fis-4790 101 18 not not PART fis-4790 101 19 follow follow VERB fis-4790 101 20 a a DET fis-4790 101 21 straight straight ADJ fis-4790 101 22 - - PUNCT fis-4790 101 23 line line NOUN fis-4790 101 24 pattern pattern NOUN fis-4790 101 25 . . PUNCT fis-4790 102 1 by by ADP fis-4790 102 2 contrast contrast NOUN fis-4790 102 3 , , PUNCT fis-4790 102 4 lrm lrm PROPN fis-4790 102 5 assumes assume VERB fis-4790 102 6 a a DET fis-4790 102 7 linear linear ADJ fis-4790 102 8 combination combination NOUN fis-4790 102 9 of of ADP fis-4790 102 10 input input NOUN fis-4790 102 11 features feature NOUN fis-4790 102 12 . . PUNCT fis-4790 103 1 the the DET fis-4790 103 2 target target NOUN fis-4790 103 3 variable variable NOUN fis-4790 103 4 , , PUNCT fis-4790 103 5 as as SCONJ fis-4790 103 6 the the DET fis-4790 103 7 nrm nrm NOUN fis-4790 103 8 model model NOUN fis-4790 103 9 , , PUNCT fis-4790 103 10 is be AUX fis-4790 103 11 employed employ VERB fis-4790 103 12 as as ADP fis-4790 103 13 the the DET fis-4790 103 14 following follow VERB fis-4790 103 15 equation equation NOUN fis-4790 103 16 : : PUNCT fis-4790 103 17   NOUN fis-4790 103 18 ,y ,y NOUN fis-4790 104 1 f f X fis-4790 104 2 x x PUNCT fis-4790 104 3   PROPN fis-4790 105 1   PROPN fis-4790 105 2   X fis-4790 105 3 ( ( PUNCT fis-4790 105 4 7 7 X fis-4790 105 5 ) ) PUNCT fis-4790 105 6 m. m. NOUN fis-4790 105 7 matin matin PROPN fis-4790 105 8 et et PROPN fis-4790 105 9 alii alii PROPN fis-4790 105 10 , , PUNCT fis-4790 105 11 frattura frattura PROPN fis-4790 105 12 ed ed PROPN fis-4790 105 13 integrità integrità PROPN fis-4790 105 14 strutturale strutturale PROPN fis-4790 105 15 , , PUNCT fis-4790 105 16 68 68 NUM fis-4790 105 17 ( ( PUNCT fis-4790 105 18 2024 2024 NUM fis-4790 105 19 ) ) PUNCT fis-4790 105 20 357 357 NUM fis-4790 105 21 - - SYM fis-4790 105 22 370 370 NUM fis-4790 105 23 ; ; PUNCT fis-4790 105 24 doi doi NOUN fis-4790 105 25 : : PUNCT fis-4790 105 26 10.3221 10.3221 NUM fis-4790 105 27 / / SYM fis-4790 105 28 igf igf PROPN fis-4790 105 29 - - PROPN fis-4790 105 30 esis.68.24 esis.68.24 PROPN fis-4790 105 31 361 361 NUM fis-4790 105 32 where where SCONJ fis-4790 105 33 y y PROPN fis-4790 105 34 represents represent VERB fis-4790 105 35 the the DET fis-4790 105 36 target target NOUN fis-4790 105 37 variable variable NOUN fis-4790 105 38 , , PUNCT fis-4790 105 39 x x X fis-4790 105 40 is be AUX fis-4790 105 41 the the DET fis-4790 105 42 input input NOUN fis-4790 105 43 feature feature NOUN fis-4790 105 44 , , PUNCT fis-4790 105 45   PROPN fis-4790 105 46 denotes denote VERB fis-4790 105 47 nonlinear nonlinear ADJ fis-4790 105 48 regression regression NOUN fis-4790 105 49 parameters parameter NOUN fis-4790 105 50 , , PUNCT fis-4790 105 51 and and CCONJ fis-4790 105 52   PROPN fis-4790 105 53 ,f ,f NOUN fis-4790 105 54 x x X fis-4790 105 55 is be AUX fis-4790 105 56 the the DET fis-4790 105 57 prediction prediction NOUN fis-4790 105 58 function function NOUN fis-4790 105 59 [ [ X fis-4790 105 60 30 30 NUM fis-4790 105 61 ] ] PUNCT fis-4790 105 62 . . PUNCT fis-4790 106 1 hyperparameter hyperparameter NOUN fis-4790 106 2 tuning tuning NOUN fis-4790 106 3 and and CCONJ fis-4790 106 4 data datum NOUN fis-4790 106 5 splitting splitting NOUN fis-4790 106 6 in in ADP fis-4790 106 7 ml ml NOUN fis-4790 106 8 , , PUNCT fis-4790 106 9 hyperparameters hyperparameter NOUN fis-4790 106 10 are be AUX fis-4790 106 11 external external ADJ fis-4790 106 12 configuration configuration NOUN fis-4790 106 13 settings setting NOUN fis-4790 106 14 that that PRON fis-4790 106 15 are be AUX fis-4790 106 16 not not PART fis-4790 106 17 learned learn VERB fis-4790 106 18 from from ADP fis-4790 106 19 the the DET fis-4790 106 20 data datum NOUN fis-4790 106 21 but but CCONJ fis-4790 106 22 are be AUX fis-4790 106 23 set set VERB fis-4790 106 24 prior prior ADV fis-4790 106 25 to to ADP fis-4790 106 26 the the DET fis-4790 106 27 training training NOUN fis-4790 106 28 process process NOUN fis-4790 106 29 . . PUNCT fis-4790 107 1 they they PRON fis-4790 107 2 play play VERB fis-4790 107 3 a a DET fis-4790 107 4 crucial crucial ADJ fis-4790 107 5 role role NOUN fis-4790 107 6 in in ADP fis-4790 107 7 determining determine VERB fis-4790 107 8 the the DET fis-4790 107 9 performance performance NOUN fis-4790 107 10 of of ADP fis-4790 107 11 an an DET fis-4790 107 12 ml ml NOUN fis-4790 107 13 model model NOUN fis-4790 107 14 and and CCONJ fis-4790 107 15 are be AUX fis-4790 107 16 often often ADV fis-4790 107 17 tuned tune VERB fis-4790 107 18 through through ADP fis-4790 107 19 a a DET fis-4790 107 20 process process NOUN fis-4790 107 21 called call VERB fis-4790 107 22 hyperparameter hyperparameter NOUN fis-4790 107 23 tuning tune VERB fis-4790 107 24 [ [ X fis-4790 107 25 31 31 NUM fis-4790 107 26 ] ] PUNCT fis-4790 107 27 . . PUNCT fis-4790 108 1 in in ADP fis-4790 108 2 other other ADJ fis-4790 108 3 words word NOUN fis-4790 108 4 , , PUNCT fis-4790 108 5 fine fine ADV fis-4790 108 6 - - PUNCT fis-4790 108 7 tuning tune VERB fis-4790 108 8 hyperparameters hyperparameter NOUN fis-4790 108 9 can can AUX fis-4790 108 10 control control VERB fis-4790 108 11 the the DET fis-4790 108 12 ml ml NOUN fis-4790 108 13 algorithm algorithm NOUN fis-4790 108 14 to to PART fis-4790 108 15 prevent prevent VERB fis-4790 108 16 model model NOUN fis-4790 108 17 overfitting overfitting NOUN fis-4790 108 18 , , PUNCT fis-4790 108 19 resulting result VERB fis-4790 108 20 in in ADP fis-4790 108 21 improved improved ADJ fis-4790 108 22 accuracy accuracy NOUN fis-4790 108 23 in in ADP fis-4790 108 24 both both DET fis-4790 108 25 training training NOUN fis-4790 108 26 and and CCONJ fis-4790 108 27 testing testing NOUN fis-4790 108 28 datasets dataset NOUN fis-4790 108 29 . . PUNCT fis-4790 109 1 the the DET fis-4790 109 2 hyperparameters hyperparameter NOUN fis-4790 109 3 for for ADP fis-4790 109 4 xgboost xgboost NUM fis-4790 109 5 , , PUNCT fis-4790 109 6 and and CCONJ fis-4790 109 7 rf rf NOUN fis-4790 109 8 were be AUX fis-4790 109 9 chosen choose VERB fis-4790 109 10 from from ADP fis-4790 109 11 the the DET fis-4790 109 12 literature literature NOUN fis-4790 110 1 [ [ X fis-4790 110 2 31 31 NUM fis-4790 110 3 ] ] PUNCT fis-4790 110 4 , , PUNCT fis-4790 110 5 and and CCONJ fis-4790 110 6 the the DET fis-4790 110 7 grid grid NOUN fis-4790 110 8 search search NOUN fis-4790 110 9 cross cross ADJ fis-4790 110 10 - - ADJ fis-4790 110 11 validation validation ADJ fis-4790 110 12 method method NOUN fis-4790 110 13 was be AUX fis-4790 110 14 utilized utilize VERB fis-4790 110 15 as as ADP fis-4790 110 16 one one NUM fis-4790 110 17 of of ADP fis-4790 110 18 the the DET fis-4790 110 19 common common ADJ fis-4790 110 20 hyperparameter hyperparameter NOUN fis-4790 110 21 tuning tune VERB fis-4790 110 22 methods method NOUN fis-4790 110 23 for for ADP fis-4790 110 24 the the DET fis-4790 110 25 present present ADJ fis-4790 110 26 work work NOUN fis-4790 110 27 . . PUNCT fis-4790 111 1 moreover moreover ADV fis-4790 111 2 , , PUNCT fis-4790 111 3 to to PART fis-4790 111 4 choose choose VERB fis-4790 111 5 the the DET fis-4790 111 6 best good ADJ fis-4790 111 7 kernel kernel NOUN fis-4790 111 8 function function NOUN fis-4790 111 9 , , PUNCT fis-4790 111 10 linear linear ADJ fis-4790 111 11 kernel kernel PROPN fis-4790 111 12 function function PROPN fis-4790 111 13 , , PUNCT fis-4790 111 14 radial radial ADJ fis-4790 111 15 basis basis NOUN fis-4790 111 16 kernel kernel NOUN fis-4790 111 17 function function NOUN fis-4790 111 18 , , PUNCT fis-4790 111 19 polynomial polynomial ADJ fis-4790 111 20 kernel kernel NOUN fis-4790 111 21 function function NOUN fis-4790 111 22 , , PUNCT fis-4790 111 23 and and CCONJ fis-4790 111 24 sigmoid sigmoid NOUN fis-4790 111 25 kernel kernel PROPN fis-4790 111 26 function function PROPN fis-4790 111 27 were be AUX fis-4790 111 28 utilized utilize VERB fis-4790 111 29 to to PART fis-4790 111 30 train train VERB fis-4790 111 31 the the DET fis-4790 111 32 kernel kernel NOUN fis-4790 111 33 - - PUNCT fis-4790 111 34 based base VERB fis-4790 111 35 algorithms algorithm NOUN fis-4790 111 36 , , PUNCT fis-4790 111 37 and and CCONJ fis-4790 111 38 the the DET fis-4790 111 39 grid grid NOUN fis-4790 111 40 search search NOUN fis-4790 111 41 cross cross ADJ fis-4790 111 42 - - ADJ fis-4790 111 43 validation validation ADJ fis-4790 111 44 method method NOUN fis-4790 111 45 was be AUX fis-4790 111 46 employed employ VERB fis-4790 111 47 to to PART fis-4790 111 48 find find VERB fis-4790 111 49 the the DET fis-4790 111 50 best good ADJ fis-4790 111 51 kernel kernel PROPN fis-4790 111 52 constants constant NOUN fis-4790 111 53 . . PUNCT fis-4790 112 1 before before ADP fis-4790 112 2 evaluating evaluate VERB fis-4790 112 3 the the DET fis-4790 112 4 performance performance NOUN fis-4790 112 5 of of ADP fis-4790 112 6 ml ml NOUN fis-4790 112 7 methods method NOUN fis-4790 112 8 , , PUNCT fis-4790 112 9 the the DET fis-4790 112 10 data datum NOUN fis-4790 112 11 were be AUX fis-4790 112 12 split split VERB fis-4790 112 13 into into ADP fis-4790 112 14 20 20 NUM fis-4790 112 15 % % NOUN fis-4790 112 16 and and CCONJ fis-4790 112 17 80 80 NUM fis-4790 112 18 % % NOUN fis-4790 112 19 , , PUNCT fis-4790 112 20 representing represent VERB fis-4790 112 21 the the DET fis-4790 112 22 testing testing NOUN fis-4790 112 23 and and CCONJ fis-4790 112 24 training training NOUN fis-4790 112 25 subsets subset NOUN fis-4790 112 26 , , PUNCT fis-4790 112 27 respectively respectively ADV fis-4790 112 28 . . PUNCT fis-4790 113 1 the the DET fis-4790 113 2 metrics metric NOUN fis-4790 113 3 ( ( PUNCT fis-4790 113 4 r2 r2 NOUN fis-4790 113 5 and and CCONJ fis-4790 113 6 rmse rmse NOUN fis-4790 113 7 ) ) PUNCT fis-4790 113 8 , , PUNCT fis-4790 113 9 which which PRON fis-4790 113 10 will will AUX fis-4790 113 11 be be AUX fis-4790 113 12 explained explain VERB fis-4790 113 13 in in ADP fis-4790 113 14 the the DET fis-4790 113 15 next next ADJ fis-4790 113 16 section section NOUN fis-4790 113 17 , , PUNCT fis-4790 113 18 were be AUX fis-4790 113 19 obtained obtain VERB fis-4790 113 20 by by ADP fis-4790 113 21 changing change VERB fis-4790 113 22 the the DET fis-4790 113 23 random random ADJ fis-4790 113 24 state state NOUN fis-4790 113 25 of of ADP fis-4790 113 26 the the DET fis-4790 113 27 models model NOUN fis-4790 113 28 20 20 NUM fis-4790 113 29 times time NOUN fis-4790 113 30 . . PUNCT fis-4790 114 1 the the DET fis-4790 114 2 reported report VERB fis-4790 114 3 metrics metric NOUN fis-4790 114 4 in in ADP fis-4790 114 5 this this DET fis-4790 114 6 work work NOUN fis-4790 114 7 are be AUX fis-4790 114 8 the the DET fis-4790 114 9 average average ADJ fis-4790 114 10 values value NOUN fis-4790 114 11 obtained obtain VERB fis-4790 114 12 from from ADP fis-4790 114 13 these these DET fis-4790 114 14 20 20 NUM fis-4790 114 15 runs run NOUN fis-4790 114 16 . . PUNCT fis-4790 115 1 tab tab NOUN fis-4790 115 2 . . PUNCT fis-4790 116 1 2 2 NUM fis-4790 116 2 demonstrates demonstrate VERB fis-4790 116 3 the the DET fis-4790 116 4 number number NOUN fis-4790 116 5 of of ADP fis-4790 116 6 data datum NOUN fis-4790 116 7 points point NOUN fis-4790 116 8 , , PUNCT fis-4790 116 9 training training NOUN fis-4790 116 10 data datum NOUN fis-4790 116 11 percentage percentage NOUN fis-4790 116 12 , , PUNCT fis-4790 116 13 and and CCONJ fis-4790 116 14 testing test VERB fis-4790 116 15 data data NOUN fis-4790 116 16 percentage percentage NOUN fis-4790 116 17 utilized utilize VERB fis-4790 116 18 in in ADP fis-4790 116 19 the the DET fis-4790 116 20 results result NOUN fis-4790 116 21 of of ADP fis-4790 116 22 this this DET fis-4790 116 23 paper paper NOUN fis-4790 116 24 . . PUNCT fis-4790 117 1 furthermore furthermore ADV fis-4790 117 2 , , PUNCT fis-4790 117 3 the the DET fis-4790 117 4 best good ADJ fis-4790 117 5 hyperparameters hyperparameter NOUN fis-4790 117 6 in in ADP fis-4790 117 7 this this DET fis-4790 117 8 work work NOUN fis-4790 117 9 represent represent VERB fis-4790 117 10 the the DET fis-4790 117 11 models model NOUN fis-4790 117 12 with with ADP fis-4790 117 13 the the DET fis-4790 117 14 highest high ADJ fis-4790 117 15 training training NOUN fis-4790 117 16 score score NOUN fis-4790 117 17 and and CCONJ fis-4790 117 18 lowest low ADJ fis-4790 117 19 score score NOUN fis-4790 117 20 variation variation NOUN fis-4790 117 21 between between ADP fis-4790 117 22 training training NOUN fis-4790 117 23 and and CCONJ fis-4790 117 24 testing testing NOUN fis-4790 117 25 data datum NOUN fis-4790 117 26 . . PUNCT fis-4790 118 1 testing test VERB fis-4790 118 2 data data NOUN fis-4790 118 3 percentage percentage NOUN fis-4790 118 4 training training NOUN fis-4790 118 5 data datum NOUN fis-4790 118 6 percentage percentage NOUN fis-4790 118 7 total total ADJ fis-4790 118 8 number number NOUN fis-4790 118 9 of of ADP fis-4790 118 10 data datum NOUN fis-4790 118 11 points point NOUN fis-4790 118 12 figure/ figure/ NOUN fis-4790 118 13 table table NOUN fis-4790 118 14 20 20 NUM fis-4790 118 15 % % NOUN fis-4790 118 16 80 80 NUM fis-4790 118 17 % % NOUN fis-4790 118 18 147 147 NUM fis-4790 118 19 tabs tab NOUN fis-4790 118 20 . . PUNCT fis-4790 119 1 3 3 NUM fis-4790 119 2 , , PUNCT fis-4790 119 3 and and CCONJ fis-4790 119 4 4 4 NUM fis-4790 119 5 0 0 NUM fis-4790 119 6 100 100 NUM fis-4790 119 7 % % NOUN fis-4790 119 8 147 147 NUM fis-4790 119 9 figs fig NOUN fis-4790 119 10 . . PUNCT fis-4790 120 1 4 4 NUM fis-4790 120 2 , , PUNCT fis-4790 120 3 5 5 NUM fis-4790 120 4 , , PUNCT fis-4790 120 5 6 6 NUM fis-4790 120 6 , , PUNCT fis-4790 120 7 7 7 NUM fis-4790 120 8 , , PUNCT fis-4790 120 9 8 8 NUM fis-4790 120 10 , , PUNCT fis-4790 120 11 and and CCONJ fis-4790 120 12 9 9 NUM fis-4790 120 13 table table NOUN fis-4790 120 14 2 2 NUM fis-4790 120 15 : : PUNCT fis-4790 120 16 the the DET fis-4790 120 17 number number NOUN fis-4790 120 18 of of ADP fis-4790 120 19 data datum NOUN fis-4790 120 20 points point NOUN fis-4790 120 21 , , PUNCT fis-4790 120 22 training training NOUN fis-4790 120 23 , , PUNCT fis-4790 120 24 and and CCONJ fis-4790 120 25 testing testing NOUN fis-4790 120 26 percentages percentage NOUN fis-4790 120 27 of of ADP fis-4790 120 28 the the DET fis-4790 120 29 data datum NOUN fis-4790 120 30 in in ADP fis-4790 120 31 the the DET fis-4790 120 32 results result NOUN fis-4790 120 33 of of ADP fis-4790 120 34 the the DET fis-4790 120 35 paper paper NOUN fis-4790 120 36 . . PUNCT fis-4790 121 1 modeling model VERB fis-4790 121 2 evaluation evaluation NOUN fis-4790 121 3 the the DET fis-4790 121 4 effectiveness effectiveness NOUN fis-4790 121 5 of of ADP fis-4790 121 6 prediction prediction NOUN fis-4790 121 7 in in ADP fis-4790 121 8 modeling modeling NOUN fis-4790 121 9 can can AUX fis-4790 121 10 be be AUX fis-4790 121 11 evaluated evaluate VERB fis-4790 121 12 by by ADP fis-4790 121 13 the the DET fis-4790 121 14 root root NOUN fis-4790 121 15 mean mean NOUN fis-4790 121 16 square square ADJ fis-4790 121 17 error error NOUN fis-4790 121 18 ( ( PUNCT fis-4790 121 19 rmse rmse NOUN fis-4790 121 20 ) ) PUNCT fis-4790 121 21 , , PUNCT fis-4790 121 22 the the DET fis-4790 121 23 coefficient coefficient NOUN fis-4790 121 24 of of ADP fis-4790 121 25 determination determination NOUN fis-4790 121 26 ( ( PUNCT fis-4790 121 27 r2 r2 PROPN fis-4790 121 28 ) ) PUNCT fis-4790 121 29 , , PUNCT fis-4790 121 30 as as ADV fis-4790 121 31 well well ADV fis-4790 121 32 as as ADP fis-4790 121 33 the the DET fis-4790 121 34 scatter scatter NOUN fis-4790 121 35 band band NOUN fis-4790 121 36 , , PUNCT fis-4790 121 37 which which PRON fis-4790 121 38 provides provide VERB fis-4790 121 39 a a DET fis-4790 121 40 valuable valuable ADJ fis-4790 121 41 representation representation NOUN fis-4790 121 42 for for ADP fis-4790 121 43 visualizing visualize VERB fis-4790 121 44 a a DET fis-4790 121 45 factor factor NOUN fis-4790 121 46 that that PRON fis-4790 121 47 encompasses encompass VERB fis-4790 121 48 the the DET fis-4790 121 49 entire entire ADJ fis-4790 121 50 dataset dataset NOUN fis-4790 121 51 of of ADP fis-4790 121 52 experimental experimental ADJ fis-4790 121 53 lifetimes lifetime NOUN fis-4790 121 54 in in ADP fis-4790 121 55 comparison comparison NOUN fis-4790 121 56 to to ADP fis-4790 121 57 the the DET fis-4790 121 58 predicted predict VERB fis-4790 121 59 values value NOUN fis-4790 121 60 [ [ X fis-4790 121 61 32 32 NUM fis-4790 121 62 ] ] PUNCT fis-4790 121 63 . . PUNCT fis-4790 122 1 briefly briefly NOUN fis-4790 122 2 , , PUNCT fis-4790 122 3 a a DET fis-4790 122 4 low low ADJ fis-4790 122 5 rmse rmse NOUN fis-4790 122 6 indicates indicate VERB fis-4790 122 7 that that SCONJ fis-4790 122 8 the the DET fis-4790 122 9 model model NOUN fis-4790 122 10 's 's PART fis-4790 122 11 predictions prediction NOUN fis-4790 122 12 are be AUX fis-4790 122 13 , , PUNCT fis-4790 122 14 on on ADP fis-4790 122 15 average average ADJ fis-4790 122 16 , , PUNCT fis-4790 122 17 close close ADJ fis-4790 122 18 to to ADP fis-4790 122 19 the the DET fis-4790 122 20 actual actual ADJ fis-4790 122 21 values value NOUN fis-4790 122 22 in in ADP fis-4790 122 23 the the DET fis-4790 122 24 dataset dataset NOUN fis-4790 122 25 . . PUNCT fis-4790 123 1 in in ADP fis-4790 123 2 contrast contrast NOUN fis-4790 123 3 , , PUNCT fis-4790 123 4 a a DET fis-4790 123 5 high high ADJ fis-4790 123 6 rmse rmse NOUN fis-4790 123 7 suggests suggest VERB fis-4790 123 8 that that SCONJ fis-4790 123 9 the the DET fis-4790 123 10 model model NOUN fis-4790 123 11 predictions prediction NOUN fis-4790 123 12 deviate deviate VERB fis-4790 123 13 significantly significantly ADV fis-4790 123 14 from from ADP fis-4790 123 15 the the DET fis-4790 123 16 actual actual ADJ fis-4790 123 17 values value NOUN fis-4790 123 18 . . PUNCT fis-4790 124 1 eqn eqn NOUN fis-4790 124 2 . . PUNCT fis-4790 125 1 ( ( PUNCT fis-4790 125 2 8) 8) NUM fis-4790 125 3 represents represent VERB fis-4790 125 4 the the DET fis-4790 125 5 rmse rmse ADJ fis-4790 125 6 value value NOUN fis-4790 125 7 [ [ X fis-4790 125 8 24 24 NUM fis-4790 125 9 ] ] PUNCT fis-4790 125 10 . . PUNCT fis-4790 126 1   NOUN fis-4790 127 1   PUNCT fis-4790 127 2 1 1 NUM fis-4790 127 3 1 1 NUM fis-4790 127 4     SPACE fis-4790 127 5 n n PRON fis-4790 127 6 actual actual ADJ fis-4790 127 7 predicted predict VERB fis-4790 127 8 i i PRON fis-4790 127 9 rmse rmse VERB fis-4790 127 10 y y PROPN fis-4790 127 11 y y PROPN fis-4790 128 1 n n CCONJ fis-4790 128 2   NUM fis-4790 128 3   NUM fis-4790 129 1   NOUN fis-4790 129 2 ( ( PUNCT fis-4790 129 3 8) 8) NUM fis-4790 129 4 where where SCONJ fis-4790 129 5 actualy actualy PROPN fis-4790 129 6 represents represent VERB fis-4790 129 7 the the DET fis-4790 129 8 experimental experimental ADJ fis-4790 129 9 value value NOUN fis-4790 129 10 of of ADP fis-4790 129 11 fatigue fatigue NOUN fis-4790 129 12 lifetime lifetime NOUN fis-4790 129 13 in in ADP fis-4790 129 14 the the DET fis-4790 129 15 present present ADJ fis-4790 129 16 work work NOUN fis-4790 129 17 , , PUNCT fis-4790 129 18 predictedy predictedy PROPN fis-4790 129 19 denotes denote VERB fis-4790 129 20 the the DET fis-4790 129 21 estimated estimate VERB fis-4790 129 22 fatigue fatigue NOUN fis-4790 129 23 lifetime lifetime NOUN fis-4790 129 24 , , PUNCT fis-4790 129 25 and and CCONJ fis-4790 129 26 n n PRON fis-4790 129 27 is be AUX fis-4790 129 28 the the DET fis-4790 129 29 number number NOUN fis-4790 129 30 of of ADP fis-4790 129 31 samples sample NOUN fis-4790 129 32 . . PUNCT fis-4790 130 1 basically basically ADV fis-4790 130 2 , , PUNCT fis-4790 130 3 r2 r2 PROPN fis-4790 130 4 ranges range VERB fis-4790 130 5 from from ADP fis-4790 130 6 0 0 NUM fis-4790 130 7 % % NOUN fis-4790 130 8 to to PART fis-4790 130 9 100 100 NUM fis-4790 130 10 % % NOUN fis-4790 130 11 . . PUNCT fis-4790 131 1 a a DET fis-4790 131 2 higher high ADJ fis-4790 131 3 value value NOUN fis-4790 131 4 of of ADP fis-4790 131 5 r2 r2 PROPN fis-4790 131 6 represents represent VERB fis-4790 131 7 strong strong ADJ fis-4790 131 8 fitting fitting ADJ fis-4790 131 9 to to ADP fis-4790 131 10 the the DET fis-4790 131 11 data datum NOUN fis-4790 131 12 , , PUNCT fis-4790 131 13 while while SCONJ fis-4790 131 14 a a DET fis-4790 131 15 value value NOUN fis-4790 131 16 near near ADP fis-4790 131 17 0 0 NUM fis-4790 131 18 % % NOUN fis-4790 131 19 indicates indicate VERB fis-4790 131 20 poor poor ADJ fis-4790 131 21 fitting fitting NOUN fis-4790 131 22 . . PUNCT fis-4790 132 1 however however ADV fis-4790 132 2 , , PUNCT fis-4790 132 3 a a DET fis-4790 132 4 negative negative ADJ fis-4790 132 5 value value NOUN fis-4790 132 6 signifies signifie NOUN fis-4790 132 7 that that SCONJ fis-4790 132 8 the the DET fis-4790 132 9 model model NOUN fis-4790 132 10 fails fail VERB fis-4790 132 11 to to PART fis-4790 132 12 capture capture VERB fis-4790 132 13 any any DET fis-4790 132 14 variability variability NOUN fis-4790 132 15 in in ADP fis-4790 132 16 the the DET fis-4790 132 17 dependent dependent ADJ fis-4790 132 18 variable variable NOUN fis-4790 132 19 . . PUNCT fis-4790 133 1 eqn eqn PROPN fis-4790 133 2 . . PUNCT fis-4790 134 1 ( ( PUNCT fis-4790 134 2 9 9 X fis-4790 134 3 ) ) PUNCT fis-4790 134 4 denotes denote NOUN fis-4790 134 5 r2 r2 PROPN fis-4790 134 6 value value NOUN fis-4790 134 7 [ [ X fis-4790 134 8 9 9 NUM fis-4790 134 9 ] ] PUNCT fis-4790 134 10 . . PUNCT fis-4790 135 1   NOUN fis-4790 136 1   PUNCT fis-4790 136 2   NOUN fis-4790 136 3   PROPN fis-4790 136 4 12 12 NUM fis-4790 136 5 1 1 NUM fis-4790 136 6 1 1 NUM fis-4790 136 7 n n DET fis-4790 136 8 actual actual ADJ fis-4790 136 9 predictedi predictedi NOUN fis-4790 136 10 n n PRON fis-4790 136 11 actual actual ADJ fis-4790 136 12 predictedi predictedi NOUN fis-4790 137 1 y y PROPN fis-4790 137 2 y y PROPN fis-4790 137 3 r r NOUN fis-4790 137 4 y y PROPN fis-4790 137 5 y y PROPN fis-4790 138 1   PROPN fis-4790 138 2   PROPN fis-4790 138 3   PROPN fis-4790 138 4   PROPN fis-4790 138 5   PROPN fis-4790 138 6   PROPN fis-4790 138 7   X fis-4790 138 8   X fis-4790 138 9 ( ( PUNCT fis-4790 138 10 9 9 NUM fis-4790 138 11 ) ) PUNCT fis-4790 138 12 in in ADP fis-4790 138 13 which which PRON fis-4790 138 14 , , PUNCT fis-4790 138 15 actualy actualy PROPN fis-4790 138 16 represents represent VERB fis-4790 138 17 the the DET fis-4790 138 18 experimental experimental ADJ fis-4790 138 19 values value NOUN fis-4790 138 20 of of ADP fis-4790 138 21 fatigue fatigue NOUN fis-4790 138 22 lifetime lifetime NOUN fis-4790 138 23 in in ADP fis-4790 138 24 the the DET fis-4790 138 25 current current ADJ fis-4790 138 26 study study NOUN fis-4790 139 1 , , PUNCT fis-4790 139 2 predictedy predictedy PROPN fis-4790 139 3 denotes denote VERB fis-4790 139 4 the the DET fis-4790 139 5 estimated estimate VERB fis-4790 139 6 fatigue fatigue NOUN fis-4790 139 7 lifetime lifetime NOUN fis-4790 139 8 , , PUNCT fis-4790 139 9 actualy actualy PROPN fis-4790 139 10 illustrates illustrate VERB fis-4790 139 11 the the DET fis-4790 139 12 average average ADJ fis-4790 139 13 value value NOUN fis-4790 139 14 of of ADP fis-4790 139 15 fatigue fatigue NOUN fis-4790 139 16 lifetime lifetime NOUN fis-4790 139 17 based base VERB fis-4790 139 18 on on ADP fis-4790 139 19 the the DET fis-4790 139 20 experimental experimental ADJ fis-4790 139 21 dataset dataset NOUN fis-4790 139 22 , , PUNCT fis-4790 139 23 and and CCONJ fis-4790 139 24 n n PRON fis-4790 139 25 is be AUX fis-4790 139 26 number number NOUN fis-4790 139 27 of of ADP fis-4790 139 28 samples sample NOUN fis-4790 139 29 . . PUNCT fis-4790 140 1 m. m. NOUN fis-4790 140 2 matin matin PROPN fis-4790 140 3 et et PROPN fis-4790 140 4 alii alii PROPN fis-4790 140 5 , , PUNCT fis-4790 140 6 frattura frattura PROPN fis-4790 140 7 ed ed PROPN fis-4790 140 8 integrità integrità PROPN fis-4790 140 9 strutturale strutturale PROPN fis-4790 140 10 , , PUNCT fis-4790 140 11 68 68 NUM fis-4790 140 12 ( ( PUNCT fis-4790 140 13 2024 2024 NUM fis-4790 140 14 ) ) PUNCT fis-4790 140 15 357 357 NUM fis-4790 140 16 - - SYM fis-4790 140 17 370 370 NUM fis-4790 140 18 ; ; PUNCT fis-4790 140 19 doi doi NOUN fis-4790 140 20 : : PUNCT fis-4790 140 21 10.3221 10.3221 NUM fis-4790 140 22 / / SYM fis-4790 140 23 igf igf PROPN fis-4790 140 24 - - PUNCT fis-4790 140 25 esis.68.24 esis.68.24 ADJ fis-4790 140 26 362 362 NUM fis-4790 140 27 scatter scatter NOUN fis-4790 140 28 band band NOUN fis-4790 140 29 plots plot NOUN fis-4790 140 30 depict depict VERB fis-4790 140 31 actual actual ADJ fis-4790 140 32 and and CCONJ fis-4790 140 33 predicted predict VERB fis-4790 140 34 values value NOUN fis-4790 140 35 using use VERB fis-4790 140 36 a a DET fis-4790 140 37 logarithmic logarithmic ADJ fis-4790 140 38 scale scale NOUN fis-4790 140 39 for for ADP fis-4790 140 40 the the DET fis-4790 140 41 axes axis NOUN fis-4790 140 42 . . PUNCT fis-4790 141 1 the the DET fis-4790 141 2 line line NOUN fis-4790 141 3 y y PROPN fis-4790 141 4 = = NOUN fis-4790 141 5 x x VERB fis-4790 141 6 symbolizes symbolize VERB fis-4790 141 7 strong strong ADJ fis-4790 141 8 accuracy accuracy NOUN fis-4790 141 9 in in ADP fis-4790 141 10 modeling modeling NOUN fis-4790 141 11 , , PUNCT fis-4790 141 12 and and CCONJ fis-4790 141 13 the the DET fis-4790 141 14 scatter scatter NOUN fis-4790 141 15 band band NOUN fis-4790 141 16 values value NOUN fis-4790 141 17 correspond correspond VERB fis-4790 141 18 to to ADP fis-4790 141 19 the the DET fis-4790 141 20 slopes slope NOUN fis-4790 141 21 of of ADP fis-4790 141 22 lines line NOUN fis-4790 141 23 that that PRON fis-4790 141 24 encompass encompass VERB fis-4790 141 25 the the DET fis-4790 141 26 data data NOUN fis-4790 141 27 points point NOUN fis-4790 141 28 . . PUNCT fis-4790 142 1 a a DET fis-4790 142 2 narrower narrow ADJ fis-4790 142 3 scatter scatter NOUN fis-4790 142 4 band band NOUN fis-4790 142 5 suggests suggest VERB fis-4790 142 6 higher high ADJ fis-4790 142 7 accuracy accuracy NOUN fis-4790 142 8 , , PUNCT fis-4790 142 9 indicating indicate VERB fis-4790 142 10 minimal minimal ADJ fis-4790 142 11 deviation deviation NOUN fis-4790 142 12 of of ADP fis-4790 142 13 the the DET fis-4790 142 14 data datum NOUN fis-4790 142 15 from from ADP fis-4790 142 16 the the DET fis-4790 142 17 y y PROPN fis-4790 142 18 = = PROPN fis-4790 142 19 x x NOUN fis-4790 142 20 line line NOUN fis-4790 142 21 [ [ X fis-4790 142 22 32 32 NUM fis-4790 142 23 ] ] PUNCT fis-4790 142 24 . . PUNCT fis-4790 143 1 results result NOUN fis-4790 143 2 and and CCONJ fis-4790 143 3 discussion discussion NOUN fis-4790 143 4 selecting select VERB fis-4790 143 5 an an DET fis-4790 143 6 optimal optimal ADJ fis-4790 143 7 machine machine NOUN fis-4790 143 8 - - PUNCT fis-4790 143 9 learning learn VERB fis-4790 143 10 algorithm algorithm NOUN fis-4790 143 11 his his PRON fis-4790 143 12 section section NOUN fis-4790 143 13 compares compare VERB fis-4790 143 14 different different ADJ fis-4790 143 15 ml ml ADP fis-4790 143 16 approaches approach NOUN fis-4790 143 17 to to PART fis-4790 143 18 evaluate evaluate VERB fis-4790 143 19 their their PRON fis-4790 143 20 accuracy accuracy NOUN fis-4790 143 21 in in ADP fis-4790 143 22 predicting predict VERB fis-4790 143 23 both both CCONJ fis-4790 143 24 the the DET fis-4790 143 25 fatigue fatigue NOUN fis-4790 143 26 lifetime lifetime NOUN fis-4790 143 27 and and CCONJ fis-4790 143 28 the the DET fis-4790 143 29 logarithm logarithm NOUN fis-4790 143 30 of of ADP fis-4790 143 31 the the DET fis-4790 143 32 fatigue fatigue NOUN fis-4790 143 33 lifetime lifetime NOUN fis-4790 143 34 . . PUNCT fis-4790 144 1 in in ADP fis-4790 144 2 addition addition NOUN fis-4790 144 3 , , PUNCT fis-4790 144 4 the the DET fis-4790 144 5 pearson pearson NOUN fis-4790 144 6 correlation correlation NOUN fis-4790 144 7 matrix matrix NOUN fis-4790 144 8 is be AUX fis-4790 144 9 commonly commonly ADV fis-4790 144 10 used use VERB fis-4790 144 11 as as ADP fis-4790 144 12 a a DET fis-4790 144 13 simplified simplified ADJ fis-4790 144 14 non non ADJ fis-4790 144 15 - - ADJ fis-4790 144 16 machine machine ADJ fis-4790 144 17 learning learning NOUN fis-4790 144 18 way way NOUN fis-4790 144 19 to to PART fis-4790 144 20 do do VERB fis-4790 144 21 sensitivity sensitivity NOUN fis-4790 144 22 analysis analysis NOUN fis-4790 144 23 on on ADP fis-4790 144 24 the the DET fis-4790 144 25 mentioned mention VERB fis-4790 144 26 dataset dataset NOUN fis-4790 144 27 . . PUNCT fis-4790 145 1 tab tab NOUN fis-4790 145 2 . . PUNCT fis-4790 146 1 3 3 NUM fis-4790 146 2 presents present VERB fis-4790 146 3 comparison comparison NOUN fis-4790 146 4 results result NOUN fis-4790 146 5 for for ADP fis-4790 146 6 various various ADJ fis-4790 146 7 ml ml NOUN fis-4790 146 8 techniques technique NOUN fis-4790 146 9 , , PUNCT fis-4790 146 10 providing provide VERB fis-4790 146 11 mean mean ADJ fis-4790 146 12 r2 r2 NOUN fis-4790 146 13 and and CCONJ fis-4790 146 14 mean mean ADJ fis-4790 146 15 rmse rmse NOUN fis-4790 146 16 for for ADP fis-4790 146 17 estimating estimate VERB fis-4790 146 18 the the DET fis-4790 146 19 logarithmic logarithmic ADJ fis-4790 146 20 value value NOUN fis-4790 146 21 of of ADP fis-4790 146 22 fatigue fatigue NOUN fis-4790 146 23 lifetime lifetime NOUN fis-4790 146 24 in in ADP fis-4790 146 25 both both DET fis-4790 146 26 training training NOUN fis-4790 146 27 and and CCONJ fis-4790 146 28 testing testing NOUN fis-4790 146 29 sets set NOUN fis-4790 146 30 . . PUNCT fis-4790 147 1 the the DET fis-4790 147 2 results result NOUN fis-4790 147 3 in in ADP fis-4790 147 4 this this DET fis-4790 147 5 table table NOUN fis-4790 147 6 indicate indicate VERB fis-4790 147 7 a a DET fis-4790 147 8 close close ADJ fis-4790 147 9 alignment alignment NOUN fis-4790 147 10 of of ADP fis-4790 147 11 mean mean ADJ fis-4790 147 12 metrics metric NOUN fis-4790 147 13 between between ADP fis-4790 147 14 the the DET fis-4790 147 15 testing testing NOUN fis-4790 147 16 and and CCONJ fis-4790 147 17 training training NOUN fis-4790 147 18 sets set NOUN fis-4790 147 19 . . PUNCT fis-4790 148 1 notably notably ADV fis-4790 148 2 , , PUNCT fis-4790 148 3 xgboost xgboost ADV fis-4790 148 4 demonstrates demonstrate VERB fis-4790 148 5 the the DET fis-4790 148 6 highest high ADJ fis-4790 148 7 accuracy accuracy NOUN fis-4790 148 8 in in ADP fis-4790 148 9 predicting predict VERB fis-4790 148 10 the the DET fis-4790 148 11 logarithm logarithm NOUN fis-4790 148 12 of of ADP fis-4790 148 13 fatigue fatigue NOUN fis-4790 148 14 lifetime lifetime NOUN fis-4790 148 15 . . PUNCT fis-4790 149 1 however however ADV fis-4790 149 2 , , PUNCT fis-4790 149 3 despite despite SCONJ fis-4790 149 4 its its PRON fis-4790 149 5 overall overall ADJ fis-4790 149 6 effectiveness effectiveness NOUN fis-4790 149 7 compared compare VERB fis-4790 149 8 to to ADP fis-4790 149 9 other other ADJ fis-4790 149 10 methods method NOUN fis-4790 149 11 , , PUNCT fis-4790 149 12 tab tab NOUN fis-4790 149 13 . . PUNCT fis-4790 149 14 4 4 NUM fis-4790 149 15 reveals reveal VERB fis-4790 149 16 that that SCONJ fis-4790 149 17 xgboost xgboost PROPN fis-4790 149 18 does do AUX fis-4790 149 19 not not PART fis-4790 149 20 exhibit exhibit VERB fis-4790 149 21 robust robust ADJ fis-4790 149 22 accuracy accuracy NOUN fis-4790 149 23 in in ADP fis-4790 149 24 estimating estimate VERB fis-4790 149 25 the the DET fis-4790 149 26 testing testing NOUN fis-4790 149 27 values value NOUN fis-4790 149 28 of of ADP fis-4790 149 29 fatigue fatigue NOUN fis-4790 149 30 lifetimes lifetime NOUN fis-4790 149 31 , , PUNCT fis-4790 149 32 as as SCONJ fis-4790 149 33 indicated indicate VERB fis-4790 149 34 by by ADP fis-4790 149 35 a a DET fis-4790 149 36 mean mean NOUN fis-4790 149 37 r2 r2 NOUN fis-4790 149 38 value value NOUN fis-4790 149 39 of of ADP fis-4790 149 40 39 39 NUM fis-4790 149 41 % % NOUN fis-4790 149 42 for for ADP fis-4790 149 43 the the DET fis-4790 149 44 testing testing NOUN fis-4790 149 45 sets set NOUN fis-4790 149 46 . . PUNCT fis-4790 150 1 based base VERB fis-4790 150 2 on on ADP fis-4790 150 3 the the DET fis-4790 150 4 information information NOUN fis-4790 150 5 provided provide VERB fis-4790 150 6 , , PUNCT fis-4790 150 7 fig fig NOUN fis-4790 150 8 . . PUNCT fis-4790 150 9 3 3 NUM fis-4790 150 10 presents presents AUX fis-4790 150 11 the the DET fis-4790 150 12 pearson pearson NOUN fis-4790 150 13 correlation correlation NOUN fis-4790 150 14 between between ADP fis-4790 150 15 variables variable NOUN fis-4790 150 16 for for ADP fis-4790 150 17 fatigue fatigue NOUN fis-4790 150 18 lifetime lifetime NOUN fis-4790 150 19 and and CCONJ fis-4790 150 20 its its PRON fis-4790 150 21 logarithm logarithm NOUN fis-4790 150 22 . . PUNCT fis-4790 151 1 the the DET fis-4790 151 2 results result NOUN fis-4790 151 3 suggested suggest VERB fis-4790 151 4 that that SCONJ fis-4790 151 5 there there PRON fis-4790 151 6 was be VERB fis-4790 151 7 an an DET fis-4790 151 8 insignificant insignificant ADJ fis-4790 151 9 correlation correlation NOUN fis-4790 151 10 between between ADP fis-4790 151 11 the the DET fis-4790 151 12 lubrication lubrication NOUN fis-4790 151 13 and and CCONJ fis-4790 151 14 the the DET fis-4790 151 15 target target NOUN fis-4790 151 16 variable variable NOUN fis-4790 151 17 . . PUNCT fis-4790 152 1 specifically specifically ADV fis-4790 152 2 , , PUNCT fis-4790 152 3 the the DET fis-4790 152 4 lubrication lubrication NOUN fis-4790 152 5 had have VERB fis-4790 152 6 a a DET fis-4790 152 7 positive positive ADJ fis-4790 152 8 effect effect NOUN fis-4790 152 9 on on ADP fis-4790 152 10 the the DET fis-4790 152 11 logarithmic logarithmic ADJ fis-4790 152 12 value value NOUN fis-4790 152 13 of of ADP fis-4790 152 14 fatigue fatigue NOUN fis-4790 152 15 lifetimes lifetime NOUN fis-4790 152 16 but but CCONJ fis-4790 152 17 a a DET fis-4790 152 18 negative negative ADJ fis-4790 152 19 effect effect NOUN fis-4790 152 20 on on ADP fis-4790 152 21 the the DET fis-4790 152 22 modeled model VERB fis-4790 152 23 fatigue fatigue NOUN fis-4790 152 24 lifetimes lifetime NOUN fis-4790 152 25 . . PUNCT fis-4790 153 1 these these DET fis-4790 153 2 results result NOUN fis-4790 153 3 aligned align VERB fis-4790 153 4 with with ADP fis-4790 153 5 the the DET fis-4790 153 6 previous previous ADJ fis-4790 153 7 regression regression NOUN fis-4790 153 8 research research NOUN fis-4790 153 9 [ [ X fis-4790 153 10 17 17 NUM fis-4790 153 11 ] ] PUNCT fis-4790 153 12 . . PUNCT fis-4790 154 1 moreover moreover ADV fis-4790 154 2 , , PUNCT fis-4790 154 3 in in ADP fis-4790 154 4 the the DET fis-4790 154 5 logarithmic logarithmic ADJ fis-4790 154 6 model model NOUN fis-4790 154 7 , , PUNCT fis-4790 154 8 the the DET fis-4790 154 9 coloration coloration NOUN fis-4790 154 10 coefficient coefficient NOUN fis-4790 154 11 between between ADP fis-4790 154 12 heat heat NOUN fis-4790 154 13 treatment treatment NOUN fis-4790 154 14 and and CCONJ fis-4790 154 15 the the DET fis-4790 154 16 logarithmic logarithmic ADJ fis-4790 154 17 value value NOUN fis-4790 154 18 of of ADP fis-4790 154 19 fatigue fatigue NOUN fis-4790 154 20 life life NOUN fis-4790 154 21 was be AUX fis-4790 154 22 +0.32 +0.32 PROPN fis-4790 154 23 , , PUNCT fis-4790 154 24 indicating indicate VERB fis-4790 154 25 a a DET fis-4790 154 26 more more ADV fis-4790 154 27 potent potent ADJ fis-4790 154 28 relationship relationship NOUN fis-4790 154 29 than than ADP fis-4790 154 30 in in ADP fis-4790 154 31 the the DET fis-4790 154 32 regular regular ADJ fis-4790 154 33 model model NOUN fis-4790 154 34 , , PUNCT fis-4790 154 35 where where SCONJ fis-4790 154 36 it it PRON fis-4790 154 37 was be AUX fis-4790 154 38 +0.06 +0.06 PROPN fis-4790 154 39 . . PUNCT fis-4790 155 1 mean mean PROPN fis-4790 155 2 rmse rmse NOUN fis-4790 155 3 ( ( PUNCT fis-4790 155 4 % % INTJ fis-4790 155 5 ) ) PUNCT fis-4790 155 6 2rmean 2rmean NUM fis-4790 155 7 hyperparameters hyperparameter NOUN fis-4790 155 8 models model NOUN fis-4790 155 9 testing test VERB fis-4790 155 10 training training NOUN fis-4790 155 11 testing testing NOUN fis-4790 155 12 training training NOUN fis-4790 155 13 0.31 0.31 NUM fis-4790 155 14 0.25 0.25 NUM fis-4790 155 15 84.95 84.95 NUM fis-4790 155 16 90.09 90.09 NUM fis-4790 155 17 n_estimators=100 n_estimators=100 PROPN fis-4790 155 18 xgboost xgboost NOUN fis-4790 155 19       SPACE fis-4790 155 20 max_depth=3 max_depth=3 NOUN fis-4790 155 21 learning_rate=0.2 learning_rate=0.2 PUNCT fis-4790 156 1 subsample=1.0 subsample=1.0 NOUN fis-4790 156 2 reg_lambda=1 reg_lambda=1 NOUN fis-4790 156 3 colsample_bytree=0.6 colsample_bytree=0.6 NOUN fis-4790 156 4 0.36 0.36 NUM fis-4790 156 5 0.28 0.28 NUM fis-4790 156 6 80.79 80.79 NUM fis-4790 156 7 87.59 87.59 NUM fis-4790 156 8 max_depth= max_depth= NOUN fis-4790 156 9 5 5 NUM fis-4790 156 10 rf rf NOUN fis-4790 156 11 ' ' PUNCT fis-4790 156 12 max_features= max_features= NOUN fis-4790 156 13 ' ' PUNCT fis-4790 156 14 log2 log2 NOUN fis-4790 156 15 min_samples_leaf= min_samples_leaf= NOUN fis-4790 156 16 1 1 NUM fis-4790 156 17 0.42 0.42 NUM fis-4790 156 18 0.37 0.37 NUM fis-4790 156 19 74.17 74.17 NUM fis-4790 156 20 78.12 78.12 NUM fis-4790 156 21 kernel='linear kernel='linear NOUN fis-4790 156 22 ' ' PUNCT fis-4790 156 23 svm svm PROPN fis-4790 156 24 c=10 c=10 NOUN fis-4790 156 25 0.35 0.35 NUM fis-4790 156 26 0.25 0.25 NUM fis-4790 156 27 80.66 80.66 NUM fis-4790 156 28 89.83 89.83 NUM fis-4790 156 29 alpha=1 alpha=1 PROPN fis-4790 156 30 nrm nrm NOUN fis-4790 156 31 kernel='poly kernel='poly NOUN fis-4790 156 32 ' ' PUNCT fis-4790 156 33 degree=3 degree=3 PROPN fis-4790 156 34 0.41 0.41 NUM fis-4790 156 35 0.37 0.37 NUM fis-4790 156 36 75.00 75.00 NUM fis-4790 156 37 78.86 78.86 NUM fis-4790 156 38 lm lm NOUN fis-4790 156 39 note note NOUN fis-4790 156 40 : : PUNCT fis-4790 156 41 the the DET fis-4790 156 42 bold bold ADJ fis-4790 156 43 value value NOUN fis-4790 156 44 means mean VERB fis-4790 156 45 the the DET fis-4790 156 46 superior superior ADJ fis-4790 156 47 achievement achievement NOUN fis-4790 156 48 . . PUNCT fis-4790 157 1 table table NOUN fis-4790 157 2 3 3 NUM fis-4790 157 3 : : PUNCT fis-4790 157 4 the the DET fis-4790 157 5 accuracy accuracy NOUN fis-4790 157 6 for for ADP fis-4790 157 7 ml ml ADV fis-4790 157 8 - - PUNCT fis-4790 157 9 based base VERB fis-4790 157 10 modeling modeling NOUN fis-4790 157 11 of of ADP fis-4790 157 12 the the DET fis-4790 157 13 logarithm logarithm NOUN fis-4790 157 14 value value NOUN fis-4790 157 15 of of ADP fis-4790 157 16 fatigue fatigue NOUN fis-4790 157 17 lifetimes lifetime NOUN fis-4790 157 18 . . PUNCT fis-4790 158 1 fig fig NOUN fis-4790 158 2 . . PUNCT fis-4790 159 1 4 4 NUM fis-4790 159 2 ( ( PUNCT fis-4790 159 3 a a PRON fis-4790 159 4 ) ) PUNCT fis-4790 159 5 illustrates illustrate VERB fis-4790 159 6 the the DET fis-4790 159 7 difference difference NOUN fis-4790 159 8 between between ADP fis-4790 159 9 fatigue fatigue NOUN fis-4790 159 10 lifetime lifetime NOUN fis-4790 159 11 and and CCONJ fis-4790 159 12 estimated estimated ADJ fis-4790 159 13 fatigue fatigue NOUN fis-4790 159 14 lifetime lifetime NOUN fis-4790 159 15 for for ADP fis-4790 159 16 different different ADJ fis-4790 159 17 ml ml NOUN fis-4790 159 18 algorithms algorithm NOUN fis-4790 159 19 . . PUNCT fis-4790 160 1 moreover moreover ADV fis-4790 160 2 , , PUNCT fis-4790 160 3 fig fig NOUN fis-4790 160 4 . . PUNCT fis-4790 161 1 4 4 NUM fis-4790 161 2 ( ( PUNCT fis-4790 161 3 b b NOUN fis-4790 161 4 ) ) PUNCT fis-4790 161 5 depicts depict VERB fis-4790 161 6 the the DET fis-4790 161 7 difference difference NOUN fis-4790 161 8 between between ADP fis-4790 161 9 the the DET fis-4790 161 10 experimental experimental ADJ fis-4790 161 11 logarithm logarithm NOUN fis-4790 161 12 value value NOUN fis-4790 161 13 of of ADP fis-4790 161 14 fatigue fatigue NOUN fis-4790 161 15 lifetime lifetime NOUN fis-4790 161 16 and and CCONJ fis-4790 161 17 the the DET fis-4790 161 18 estimated estimate VERB fis-4790 161 19 logarithm logarithm NOUN fis-4790 161 20 value value NOUN fis-4790 161 21 of of ADP fis-4790 161 22 fatigue fatigue NOUN fis-4790 161 23 lifetime lifetime NOUN fis-4790 161 24 for for ADP fis-4790 161 25 different different ADJ fis-4790 161 26 ml ml NOUN fis-4790 161 27 algorithms algorithm NOUN fis-4790 161 28 . . PUNCT fis-4790 162 1 in in ADP fis-4790 162 2 this this DET fis-4790 162 3 boxplot boxplot NOUN fis-4790 162 4 , , PUNCT fis-4790 162 5 the the DET fis-4790 162 6 best good ADJ fis-4790 162 7 model model NOUN fis-4790 162 8 is be AUX fis-4790 162 9 the the DET fis-4790 162 10 one one NUM fis-4790 162 11 with with ADP fis-4790 162 12 the the DET fis-4790 162 13 lowest low ADJ fis-4790 162 14 error error NOUN fis-4790 162 15 from from ADP fis-4790 162 16 zero zero NUM fis-4790 162 17 . . PUNCT fis-4790 163 1 therefore therefore ADV fis-4790 163 2 , , PUNCT fis-4790 163 3 in in ADP fis-4790 163 4 both both DET fis-4790 163 5 figures figure NOUN fis-4790 163 6 , , PUNCT fis-4790 163 7 xgboost xgboost PROPN fis-4790 163 8 has have VERB fis-4790 163 9 the the DET fis-4790 163 10 lowest low ADJ fis-4790 163 11 error error NOUN fis-4790 163 12 from from ADP fis-4790 163 13 the the DET fis-4790 163 14 zero zero NUM fis-4790 163 15 value value NOUN fis-4790 163 16 . . PUNCT fis-4790 164 1 comparing compare VERB fis-4790 164 2 the the DET fis-4790 164 3 differences difference NOUN fis-4790 164 4 between between ADP fis-4790 164 5 estimated estimate VERB fis-4790 164 6 values value NOUN fis-4790 164 7 and and CCONJ fis-4790 164 8 actual actual ADJ fis-4790 164 9 values value NOUN fis-4790 164 10 for for ADP fis-4790 164 11 the the DET fis-4790 164 12 target target NOUN fis-4790 164 13 variable variable NOUN fis-4790 164 14 using use VERB fis-4790 164 15 a a DET fis-4790 164 16 box box NOUN fis-4790 164 17 plot plot NOUN fis-4790 164 18 , , PUNCT fis-4790 164 19 it it PRON fis-4790 164 20 becomes become VERB fis-4790 164 21 evident evident ADJ fis-4790 164 22 that that SCONJ fis-4790 164 23 xgboost xgboost ADV fis-4790 164 24 exhibits exhibit VERB fis-4790 164 25 superiority superiority NOUN fis-4790 164 26 over over ADP fis-4790 164 27 rf rf ADJ fis-4790 164 28 and and CCONJ fis-4790 164 29 svr svr PROPN fis-4790 164 30 methods method NOUN fis-4790 164 31 [ [ X fis-4790 164 32 12,33 12,33 NUM fis-4790 164 33 ] ] PUNCT fis-4790 164 34 . . PUNCT fis-4790 165 1 moreover moreover ADV fis-4790 165 2 , , PUNCT fis-4790 165 3 the the DET fis-4790 165 4 svr svr PROPN fis-4790 165 5 results result NOUN fis-4790 165 6 were be AUX fis-4790 165 7 the the DET fis-4790 165 8 worst bad ADJ fis-4790 165 9 method method NOUN fis-4790 165 10 in in ADP fis-4790 165 11 fig fig NOUN fis-4790 165 12 . . PUNCT fis-4790 166 1 4 4 NUM fis-4790 166 2 . . X fis-4790 166 3 as as ADP fis-4790 166 4 an an DET fis-4790 166 5 agreement agreement NOUN fis-4790 166 6 , , PUNCT fis-4790 166 7 zhu zhu PROPN fis-4790 166 8 et et PROPN fis-4790 166 9 al al PROPN fis-4790 166 10 . . PUNCT fis-4790 167 1 [ [ X fis-4790 167 2 30 30 NUM fis-4790 167 3 ] ] PUNCT fis-4790 167 4 indicated indicate VERB fis-4790 167 5 that that SCONJ fis-4790 167 6 the the DET fis-4790 167 7 support support NOUN fis-4790 167 8 vector vector NOUN fis-4790 167 9 techniques technique NOUN fis-4790 167 10 had have VERB fis-4790 167 11 lower low ADJ fis-4790 167 12 r2 r2 NOUN fis-4790 167 13 values value NOUN fis-4790 167 14 and and CCONJ fis-4790 167 15 higher high ADJ fis-4790 167 16 rmse rmse NOUN fis-4790 167 17 compared compare VERB fis-4790 167 18 to to ADP fis-4790 167 19 rf rf VERB fis-4790 167 20 , , PUNCT fis-4790 167 21 for for ADP fis-4790 167 22 the the DET fis-4790 167 23 high high ADJ fis-4790 167 24 - - PUNCT fis-4790 167 25 cycle cycle NOUN fis-4790 167 26 fatigue fatigue NOUN fis-4790 167 27 prediction prediction NOUN fis-4790 167 28 of of ADP fis-4790 167 29 titanium titanium NOUN fis-4790 167 30 alloys alloy NOUN fis-4790 167 31 used use VERB fis-4790 167 32 in in ADP fis-4790 167 33 aero aero NOUN fis-4790 167 34 - - PUNCT fis-4790 167 35 engines engine NOUN fis-4790 167 36 . . PUNCT fis-4790 168 1 t t PROPN fis-4790 168 2 m. m. NOUN fis-4790 168 3 matin matin PROPN fis-4790 168 4 et et PROPN fis-4790 168 5 alii alii PROPN fis-4790 168 6 , , PUNCT fis-4790 168 7 frattura frattura PROPN fis-4790 168 8 ed ed PROPN fis-4790 168 9 integrità integrità PROPN fis-4790 168 10 strutturale strutturale PROPN fis-4790 168 11 , , PUNCT fis-4790 168 12 68 68 NUM fis-4790 168 13 ( ( PUNCT fis-4790 168 14 2024 2024 NUM fis-4790 168 15 ) ) PUNCT fis-4790 168 16 357 357 NUM fis-4790 168 17 - - SYM fis-4790 168 18 370 370 NUM fis-4790 168 19 ; ; PUNCT fis-4790 168 20 doi doi NOUN fis-4790 168 21 : : PUNCT fis-4790 168 22 10.3221 10.3221 NUM fis-4790 168 23 / / SYM fis-4790 168 24 igf igf PROPN fis-4790 168 25 - - PUNCT fis-4790 168 26 esis.68.24 esis.68.24 PROPN fis-4790 168 27 363 363 NUM fis-4790 168 28 mean mean NOUN fis-4790 168 29 rmse rmse NOUN fis-4790 168 30 ( ( PUNCT fis-4790 168 31 % % INTJ fis-4790 168 32 ) ) PUNCT fis-4790 168 33 2rmean 2rmean NUM fis-4790 168 34 hyperparameters hyperparameter NOUN fis-4790 168 35 models model NOUN fis-4790 168 36 testing test VERB fis-4790 168 37 training training NOUN fis-4790 168 38 testing testing NOUN fis-4790 168 39 training train VERB fis-4790 168 40 156422.97 156422.97 NUM fis-4790 168 41 108528.67 108528.67 NUM fis-4790 168 42 39.00 39.00 NUM fis-4790 168 43 63.68 63.68 NUM fis-4790 168 44       SPACE fis-4790 168 45 n_estimators=100 n_estimators=100 PROPN fis-4790 168 46 xgboost xgboost PROPN fis-4790 168 47       SPACE fis-4790 168 48 max_depth=7 max_depth=7 PROPN fis-4790 169 1 learning_rate=0.03 learning_rate=0.03 VERB fis-4790 169 2 subsample=1.0 subsample=1.0 PROPN fis-4790 169 3 reg_lambda=1 reg_lambda=1 NOUN fis-4790 169 4 colsample_bytree=0.8 colsample_bytree=0.8 VERB fis-4790 170 1 161984.83 161984.83 NUM fis-4790 170 2 121085.32 121085.32 NUM fis-4790 170 3 33.09 33.09 NUM fis-4790 170 4 54.88 54.88 NUM fis-4790 170 5 max_depth= max_depth= NOUN fis-4790 170 6 7 7 NUM fis-4790 170 7 rf rf NOUN fis-4790 170 8 ' ' PUNCT fis-4790 170 9 max_features='log2 max_features='log2 NOUN fis-4790 170 10 min_samples_leaf= min_samples_leaf= NOUN fis-4790 170 11 3 3 NUM fis-4790 170 12 21300.34 21300.34 NUM fis-4790 170 13 179868.89 179868.89 NUM fis-4790 170 14 -3.69 -3.69 NOUN fis-4790 170 15 0.76 0.76 NUM fis-4790 170 16 kernel='linear kernel='linear NOUN fis-4790 170 17 ' ' PUNCT fis-4790 170 18 svm svm PROPN fis-4790 170 19 c=10 c=10 X fis-4790 170 20 156899.54 156899.54 NUM fis-4790 170 21 111648.85 111648.85 NUM fis-4790 170 22 37.76 37.76 NUM fis-4790 170 23 61.62 61.62 NUM fis-4790 170 24 alpha=1 alpha=1 PROPN fis-4790 170 25 nrm nrm NOUN fis-4790 170 26 kernel=’rbf kernel=’rbf PROPN fis-4790 170 27 ’ ' PUNCT fis-4790 170 28 gamma=0.1 gamma=0.1 PROPN fis-4790 170 29 180328.61 180328.61 NUM fis-4790 170 30 145450.26 145450.26 NUM fis-4790 170 31 -31.19 -31.19 NUM fis-4790 170 32 35.09 35.09 NUM fis-4790 170 33 lm lm NOUN fis-4790 170 34 note note NOUN fis-4790 170 35 : : PUNCT fis-4790 170 36 the the DET fis-4790 170 37 bold bold ADJ fis-4790 170 38 value value NOUN fis-4790 170 39 means mean VERB fis-4790 170 40 the the DET fis-4790 170 41 superior superior ADJ fis-4790 170 42 achievement achievement NOUN fis-4790 170 43 . . PUNCT fis-4790 171 1 table table NOUN fis-4790 171 2 4 4 NUM fis-4790 171 3 : : PUNCT fis-4790 171 4 the the DET fis-4790 171 5 accuracy accuracy NOUN fis-4790 171 6 for for ADP fis-4790 171 7 ml ml ADV fis-4790 171 8 - - PUNCT fis-4790 171 9 based base VERB fis-4790 171 10 modeling modeling NOUN fis-4790 171 11 of of ADP fis-4790 171 12 the the DET fis-4790 171 13 fatigue fatigue NOUN fis-4790 171 14 lifetimes lifetime NOUN fis-4790 171 15 ( ( PUNCT fis-4790 171 16 a a NOUN fis-4790 171 17 ) ) PUNCT fis-4790 171 18 ( ( PUNCT fis-4790 171 19 b b X fis-4790 171 20 ) ) PUNCT fis-4790 171 21 figure figure NOUN fis-4790 171 22 3 3 NUM fis-4790 171 23 : : PUNCT fis-4790 171 24 the the DET fis-4790 171 25 pearson pearson NOUN fis-4790 171 26 correlation correlation NOUN fis-4790 171 27 matrix matrix NOUN fis-4790 171 28 , , PUNCT fis-4790 171 29 ranging range VERB fis-4790 171 30 from from ADP fis-4790 171 31 -1 -1 ADV fis-4790 171 32 to to ADP fis-4790 171 33 +1 +1 PROPN fis-4790 171 34 , , PUNCT fis-4790 171 35 illustrates illustrate VERB fis-4790 171 36 the the DET fis-4790 171 37 correlation correlation NOUN fis-4790 171 38 between between ADP fis-4790 171 39 variables variable NOUN fis-4790 171 40 and and CCONJ fis-4790 171 41 the the DET fis-4790 171 42 target target NOUN fis-4790 171 43 for for ADP fis-4790 171 44 ( ( PUNCT fis-4790 171 45 a a PRON fis-4790 171 46 ) ) PUNCT fis-4790 171 47 fatigue fatigue NOUN fis-4790 171 48 lifetimes lifetime NOUN fis-4790 171 49 and and CCONJ fis-4790 171 50 other other ADJ fis-4790 171 51 unchanged unchanged ADJ fis-4790 171 52 variables variable NOUN fis-4790 171 53 , , PUNCT fis-4790 171 54 and and CCONJ fis-4790 171 55 ( ( PUNCT fis-4790 171 56 b b X fis-4790 171 57 ) ) PUNCT fis-4790 171 58 the the DET fis-4790 171 59 logarithmic logarithmic ADJ fis-4790 171 60 value value NOUN fis-4790 171 61 of of ADP fis-4790 171 62 fatigue fatigue NOUN fis-4790 171 63 lifetimes lifetime NOUN fis-4790 171 64 and and CCONJ fis-4790 171 65 other other ADJ fis-4790 171 66 unchanged unchanged ADJ fis-4790 171 67 variables variable NOUN fis-4790 171 68 . . PUNCT fis-4790 172 1 to to PART fis-4790 172 2 compare compare VERB fis-4790 172 3 the the DET fis-4790 172 4 accuracy accuracy NOUN fis-4790 172 5 of of ADP fis-4790 172 6 fatigue fatigue NOUN fis-4790 172 7 lifetime lifetime NOUN fis-4790 172 8 modeling modeling NOUN fis-4790 172 9 and and CCONJ fis-4790 172 10 the the DET fis-4790 172 11 logarithmic logarithmic ADJ fis-4790 172 12 value value NOUN fis-4790 172 13 of of ADP fis-4790 172 14 fatigue fatigue NOUN fis-4790 172 15 lifetimes lifetime NOUN fis-4790 172 16 with with ADP fis-4790 172 17 xgboost xgboost ADV fis-4790 172 18 modeling modeling NOUN fis-4790 172 19 , , PUNCT fis-4790 172 20 fig fig NOUN fis-4790 172 21 . . PUNCT fis-4790 173 1 5 5 NUM fis-4790 173 2 represents represent VERB fis-4790 173 3 the the DET fis-4790 173 4 scatter scatter NOUN fis-4790 173 5 bands band NOUN fis-4790 173 6 for for ADP fis-4790 173 7 both both PRON fis-4790 173 8 of of ADP fis-4790 173 9 them they PRON fis-4790 173 10 . . PUNCT fis-4790 174 1 the the DET fis-4790 174 2 fatigue fatigue NOUN fis-4790 174 3 lifetimes lifetime NOUN fis-4790 174 4 had have VERB fis-4790 174 5 a a DET fis-4790 174 6 scatter scatter NOUN fis-4790 174 7 band band NOUN fis-4790 174 8 of of ADP fis-4790 174 9 ±8 ±8 NOUN fis-4790 174 10 for for ADP fis-4790 174 11 95 95 NUM fis-4790 174 12 % % NOUN fis-4790 174 13 of of ADP fis-4790 174 14 data datum NOUN fis-4790 174 15 points point NOUN fis-4790 174 16 , , PUNCT fis-4790 174 17 while while SCONJ fis-4790 174 18 the the DET fis-4790 174 19 scatter scatter NOUN fis-4790 174 20 band band NOUN fis-4790 174 21 for for ADP fis-4790 174 22 the the DET fis-4790 174 23 logarithmic logarithmic ADJ fis-4790 174 24 value value NOUN fis-4790 174 25 of of ADP fis-4790 174 26 fatigue fatigue NOUN fis-4790 174 27 lifetimes lifetime NOUN fis-4790 174 28 was be AUX fis-4790 174 29 ±1.25 ±1.25 PROPN fis-4790 174 30 , , PUNCT fis-4790 174 31 covering cover VERB fis-4790 174 32 all all DET fis-4790 174 33 data datum NOUN fis-4790 174 34 points point NOUN fis-4790 174 35 . . PUNCT fis-4790 175 1 thus thus ADV fis-4790 175 2 , , PUNCT fis-4790 175 3 the the DET fis-4790 175 4 logarithmic logarithmic ADJ fis-4790 175 5 values value NOUN fis-4790 175 6 of of ADP fis-4790 175 7 the the DET fis-4790 175 8 fatigue fatigue NOUN fis-4790 175 9 lifetime lifetime NOUN fis-4790 175 10 model model NOUN fis-4790 175 11 demonstrated demonstrate VERB fis-4790 175 12 a a DET fis-4790 175 13 higher high ADJ fis-4790 175 14 accuracy accuracy NOUN fis-4790 175 15 . . PUNCT fis-4790 176 1 comparing compare VERB fis-4790 176 2 these these DET fis-4790 176 3 results result NOUN fis-4790 176 4 with with ADP fis-4790 176 5 the the DET fis-4790 176 6 literature literature NOUN fis-4790 176 7 , , PUNCT fis-4790 176 8 it it PRON fis-4790 176 9 is be AUX fis-4790 176 10 essential essential ADJ fis-4790 176 11 to to PART fis-4790 176 12 mention mention VERB fis-4790 176 13 that that SCONJ fis-4790 176 14 the the DET fis-4790 176 15 scatter scatter NOUN fis-4790 176 16 band band NOUN fis-4790 176 17 for for ADP fis-4790 176 18 regression regression NOUN fis-4790 176 19 modeling modeling NOUN fis-4790 176 20 of of ADP fis-4790 176 21 the the DET fis-4790 176 22 logarithmic logarithmic ADJ fis-4790 176 23 value value NOUN fis-4790 176 24 of of ADP fis-4790 176 25 fatigue fatigue NOUN fis-4790 176 26 lifetime lifetime NOUN fis-4790 176 27 estimation estimation NOUN fis-4790 176 28 was be AUX fis-4790 176 29 approximately approximately ADV fis-4790 176 30 ±1.5 ±1.5 NOUN fis-4790 176 31 when when SCONJ fis-4790 176 32 using use VERB fis-4790 176 33 the the DET fis-4790 176 34 same same ADJ fis-4790 176 35 dataset dataset NOUN fis-4790 176 36 as as ADP fis-4790 176 37 the the DET fis-4790 176 38 literature literature NOUN fis-4790 176 39 [ [ X fis-4790 176 40 17 17 NUM fis-4790 176 41 ] ] PUNCT fis-4790 176 42 . . PUNCT fis-4790 177 1 this this PRON fis-4790 177 2 suggests suggest VERB fis-4790 177 3 that that SCONJ fis-4790 177 4 xgboost xgboost ADV fis-4790 177 5 demonstrates demonstrate VERB fis-4790 177 6 its its PRON fis-4790 177 7 superiority superiority NOUN fis-4790 177 8 over over ADP fis-4790 177 9 traditional traditional ADJ fis-4790 177 10 regression regression NOUN fis-4790 177 11 modeling modeling NOUN fis-4790 177 12 in in ADP fis-4790 177 13 this this DET fis-4790 177 14 context context NOUN fis-4790 177 15 . . PUNCT fis-4790 178 1 long long ADV fis-4790 178 2 et et PROPN fis-4790 178 3 al al PROPN fis-4790 178 4 . . PUNCT fis-4790 179 1 [ [ X fis-4790 179 2 35 35 NUM fis-4790 179 3 ] ] PUNCT fis-4790 179 4 showed show VERB fis-4790 179 5 that that SCONJ fis-4790 179 6 the the DET fis-4790 179 7 scatter scatter NOUN fis-4790 179 8 band band NOUN fis-4790 179 9 was be AUX fis-4790 179 10 narrower narrow ADJ fis-4790 179 11 ( ( PUNCT fis-4790 179 12 less less ADJ fis-4790 179 13 than than ADP fis-4790 179 14 ±2.0 ±2.0 PROPN fis-4790 179 15 ) ) PUNCT fis-4790 179 16 when when SCONJ fis-4790 179 17 using use VERB fis-4790 179 18 boosting boost VERB fis-4790 179 19 methods method NOUN fis-4790 179 20 , , PUNCT fis-4790 179 21 compared compare VERB fis-4790 179 22 to to ADP fis-4790 179 23 the the DET fis-4790 179 24 support support NOUN fis-4790 179 25 vector vector NOUN fis-4790 179 26 techniques technique NOUN fis-4790 179 27 in in ADP fis-4790 179 28 predicting predict VERB fis-4790 179 29 the the DET fis-4790 179 30 logarithmic logarithmic ADJ fis-4790 179 31 values value NOUN fis-4790 179 32 of of ADP fis-4790 179 33 low low ADJ fis-4790 179 34 - - PUNCT fis-4790 179 35 cycle cycle NOUN fis-4790 179 36 fatigue fatigue NOUN fis-4790 179 37 lifetimes lifetime NOUN fis-4790 179 38 in in ADP fis-4790 179 39 lead lead NOUN fis-4790 179 40 - - PUNCT fis-4790 179 41 free free ADJ fis-4790 179 42 solders solder NOUN fis-4790 179 43 [ [ X fis-4790 179 44 35 35 NUM fis-4790 179 45 ] ] PUNCT fis-4790 179 46 , , PUNCT fis-4790 179 47 compared compare VERB fis-4790 179 48 to to ADP fis-4790 179 49 the the DET fis-4790 179 50 results result NOUN fis-4790 179 51 through through ADP fis-4790 179 52 the the DET fis-4790 179 53 high high ADJ fis-4790 179 54 - - PUNCT fis-4790 179 55 cycle cycle NOUN fis-4790 179 56 fatigue fatigue NOUN fis-4790 179 57 regime regime NOUN fis-4790 179 58 in in ADP fis-4790 179 59 this this DET fis-4790 179 60 work work NOUN fis-4790 179 61 . . PUNCT fis-4790 180 1 unlink unlink NOUN fis-4790 180 2 that that DET fis-4790 180 3 work work NOUN fis-4790 180 4 , , PUNCT fis-4790 180 5 hao hao PROPN fis-4790 180 6 et et PROPN fis-4790 180 7 al al PROPN fis-4790 180 8 . . PUNCT fis-4790 181 1 [ [ X fis-4790 181 2 36 36 NUM fis-4790 181 3 ] ] PUNCT fis-4790 181 4 illustrated illustrate VERB fis-4790 181 5 that that SCONJ fis-4790 181 6 physics physics NOUN fis-4790 181 7 - - PUNCT fis-4790 181 8 informed inform VERB fis-4790 181 9 ml ml NOUN fis-4790 181 10 techniques technique NOUN fis-4790 181 11 had have VERB fis-4790 181 12 proper proper ADJ fis-4790 181 13 simplicity simplicity NOUN fis-4790 181 14 and and CCONJ fis-4790 181 15 high high ADJ fis-4790 181 16 accuracy accuracy NOUN fis-4790 181 17 for for ADP fis-4790 181 18 estimating estimate VERB fis-4790 181 19 the the DET fis-4790 181 20 notch notch ADJ fis-4790 181 21 fatigue fatigue NOUN fis-4790 181 22 lifetime lifetime NOUN fis-4790 181 23 of of ADP fis-4790 181 24 polycrystalline polycrystalline ADJ fis-4790 181 25 alloys alloy NOUN fis-4790 181 26 . . PUNCT fis-4790 182 1 they they PRON fis-4790 182 2 demonstrated demonstrate VERB fis-4790 182 3 that that SCONJ fis-4790 182 4 the the DET fis-4790 182 5 accuracy accuracy NOUN fis-4790 182 6 of of ADP fis-4790 182 7 rf rf PRON fis-4790 182 8 was be AUX fis-4790 182 9 higher high ADJ fis-4790 182 10 than than ADP fis-4790 182 11 xgboost xgboost PROPN fis-4790 182 12 . . PUNCT fis-4790 183 1 moreover moreover ADV fis-4790 183 2 , , PUNCT fis-4790 183 3 the the DET fis-4790 183 4 svr svr PROPN fis-4790 183 5 accuracy accuracy NOUN fis-4790 183 6 was be AUX fis-4790 183 7 lower low ADJ fis-4790 183 8 than than ADP fis-4790 183 9 others other NOUN fis-4790 183 10 , , PUNCT fis-4790 183 11 which which PRON fis-4790 183 12 was be AUX fis-4790 183 13 in in ADP fis-4790 183 14 agreement agreement NOUN fis-4790 183 15 with with ADP fis-4790 183 16 the the DET fis-4790 183 17 results result NOUN fis-4790 183 18 of of ADP fis-4790 183 19 the the DET fis-4790 183 20 present present ADJ fis-4790 183 21 work work NOUN fis-4790 183 22 for for ADP fis-4790 183 23 aluminum aluminum NOUN fis-4790 183 24 alloys alloy NOUN fis-4790 183 25 . . PUNCT fis-4790 184 1 m. m. NOUN fis-4790 184 2 matin matin PROPN fis-4790 184 3 et et PROPN fis-4790 184 4 alii alii PROPN fis-4790 184 5 , , PUNCT fis-4790 184 6 frattura frattura PROPN fis-4790 184 7 ed ed PROPN fis-4790 184 8 integrità integrità PROPN fis-4790 184 9 strutturale strutturale PROPN fis-4790 184 10 , , PUNCT fis-4790 184 11 68 68 NUM fis-4790 184 12 ( ( PUNCT fis-4790 184 13 2024 2024 NUM fis-4790 184 14 ) ) PUNCT fis-4790 184 15 357 357 NUM fis-4790 184 16 - - SYM fis-4790 184 17 370 370 NUM fis-4790 184 18 ; ; PUNCT fis-4790 184 19 doi doi NOUN fis-4790 184 20 : : PUNCT fis-4790 184 21 10.3221 10.3221 NUM fis-4790 184 22 / / SYM fis-4790 184 23 igf igf PROPN fis-4790 184 24 - - PROPN fis-4790 184 25 esis.68.24 esis.68.24 PROPN fis-4790 184 26 364 364 NUM fis-4790 184 27 ( ( PUNCT fis-4790 184 28 a a NOUN fis-4790 184 29 ) ) PUNCT fis-4790 184 30 ( ( PUNCT fis-4790 184 31 b b X fis-4790 184 32 ) ) PUNCT fis-4790 184 33 figure figure NOUN fis-4790 184 34 4 4 NUM fis-4790 184 35 : : PUNCT fis-4790 184 36 difference difference NOUN fis-4790 184 37 between between ADP fis-4790 184 38 trained train VERB fis-4790 184 39 experimental experimental ADJ fis-4790 184 40 target target NOUN fis-4790 184 41 value value NOUN fis-4790 184 42 and and CCONJ fis-4790 184 43 estimated estimated ADJ fis-4790 184 44 target target NOUN fis-4790 184 45 value value NOUN fis-4790 184 46 for for ADP fis-4790 184 47 different different ADJ fis-4790 184 48 ml ml NOUN fis-4790 184 49 methods method NOUN fis-4790 184 50 : : PUNCT fis-4790 184 51 ( ( PUNCT fis-4790 184 52 a a X fis-4790 184 53 ) ) PUNCT fis-4790 184 54 target target NOUN fis-4790 184 55 : : PUNCT fis-4790 184 56 fatigue fatigue NOUN fis-4790 184 57 lifetime lifetime NOUN fis-4790 184 58 ( ( PUNCT fis-4790 184 59 b b NOUN fis-4790 184 60 ) ) PUNCT fis-4790 184 61 target target NOUN fis-4790 184 62 : : PUNCT fis-4790 184 63 logarithm logarithm NOUN fis-4790 184 64 value value NOUN fis-4790 184 65 of of ADP fis-4790 184 66 fatigue fatigue NOUN fis-4790 184 67 lifetime lifetime NOUN fis-4790 184 68 . . PUNCT fis-4790 185 1 ( ( PUNCT fis-4790 185 2 a a X fis-4790 185 3 ) ) PUNCT fis-4790 185 4 ( ( PUNCT fis-4790 185 5 b b X fis-4790 185 6 ) ) PUNCT fis-4790 185 7 figure figure NOUN fis-4790 185 8 5 5 NUM fis-4790 185 9 : : PUNCT fis-4790 185 10 the the DET fis-4790 185 11 scatter scatter NOUN fis-4790 185 12 band band NOUN fis-4790 185 13 plots plot NOUN fis-4790 185 14 comparing compare VERB fis-4790 185 15 experimental experimental ADJ fis-4790 185 16 data datum NOUN fis-4790 185 17 to to ADP fis-4790 185 18 predicted predict VERB fis-4790 185 19 values value NOUN fis-4790 185 20 , , PUNCT fis-4790 185 21 generated generate VERB fis-4790 185 22 by by ADP fis-4790 185 23 training train VERB fis-4790 185 24 the the DET fis-4790 185 25 entire entire ADJ fis-4790 185 26 dataset dataset NOUN fis-4790 185 27 using use VERB fis-4790 185 28 xgboost xgboost ADV fis-4790 185 29 with with ADP fis-4790 185 30 mentioned mention VERB fis-4790 185 31 hyperparameters hyperparameter NOUN fis-4790 185 32 for for ADP fis-4790 185 33 ( ( PUNCT fis-4790 185 34 a a PRON fis-4790 185 35 ) ) PUNCT fis-4790 185 36 fatigue fatigue NOUN fis-4790 185 37 lifetime lifetime NOUN fis-4790 185 38 modeling modeling NOUN fis-4790 185 39 and and CCONJ fis-4790 185 40 ( ( PUNCT fis-4790 185 41 b b NOUN fis-4790 185 42 ) ) PUNCT fis-4790 185 43 modeling model VERB fis-4790 185 44 the the DET fis-4790 185 45 logarithmic logarithmic ADJ fis-4790 185 46 values value NOUN fis-4790 185 47 of of ADP fis-4790 185 48 fatigue fatigue NOUN fis-4790 185 49 lifetimes lifetime NOUN fis-4790 185 50 . . PUNCT fis-4790 186 1 shap shap NOUN fis-4790 186 2 analysis analysis NOUN fis-4790 186 3 of of ADP fis-4790 186 4 the the DET fis-4790 186 5 xgboost xgboost PROPN fis-4790 186 6 model model NOUN fis-4790 186 7 this this DET fis-4790 186 8 section section NOUN fis-4790 186 9 presents present VERB fis-4790 186 10 the the DET fis-4790 186 11 results result NOUN fis-4790 186 12 of of ADP fis-4790 186 13 the the DET fis-4790 186 14 shap shap NOUN fis-4790 186 15 analysis analysis NOUN fis-4790 186 16 conducted conduct VERB fis-4790 186 17 on on ADP fis-4790 186 18 the the DET fis-4790 186 19 xgboost xgboost PROPN fis-4790 186 20 model model NOUN fis-4790 186 21 trained train VERB fis-4790 186 22 to to PART fis-4790 186 23 predict predict VERB fis-4790 186 24 the the DET fis-4790 186 25 logarithm logarithm NOUN fis-4790 186 26 value value NOUN fis-4790 186 27 of of ADP fis-4790 186 28 fatigue fatigue NOUN fis-4790 186 29 lifetime lifetime NOUN fis-4790 186 30 . . PUNCT fis-4790 187 1 before before ADP fis-4790 187 2 this this DET fis-4790 187 3 analysis analysis NOUN fis-4790 187 4 , , PUNCT fis-4790 187 5 the the DET fis-4790 187 6 best good ADJ fis-4790 187 7 model model NOUN fis-4790 187 8 for for ADP fis-4790 187 9 predicting predict VERB fis-4790 187 10 fatigue fatigue NOUN fis-4790 187 11 lifetime lifetime NOUN fis-4790 187 12 and and CCONJ fis-4790 187 13 its its PRON fis-4790 187 14 logarithm logarithm NOUN fis-4790 187 15 was be AUX fis-4790 187 16 determined determine VERB fis-4790 187 17 , , PUNCT fis-4790 187 18 and and CCONJ fis-4790 187 19 it it PRON fis-4790 187 20 was be AUX fis-4790 187 21 found find VERB fis-4790 187 22 that that SCONJ fis-4790 187 23 the the DET fis-4790 187 24 algorithm algorithm NOUN fis-4790 187 25 performed perform VERB fis-4790 187 26 better well ADV fis-4790 187 27 when when SCONJ fis-4790 187 28 trained train VERB fis-4790 187 29 with with ADP fis-4790 187 30 the the DET fis-4790 187 31 logarithm logarithm NOUN fis-4790 187 32 value value NOUN fis-4790 187 33 of of ADP fis-4790 187 34 fatigue fatigue NOUN fis-4790 187 35 lifetime lifetime NOUN fis-4790 187 36 . . PUNCT fis-4790 188 1 this this DET fis-4790 188 2 analysis analysis NOUN fis-4790 188 3 demonstrates demonstrate VERB fis-4790 188 4 the the DET fis-4790 188 5 impact impact NOUN fis-4790 188 6 of of ADP fis-4790 188 7 variables variable NOUN fis-4790 188 8 on on ADP fis-4790 188 9 the the DET fis-4790 188 10 logarithmic logarithmic ADJ fis-4790 188 11 value value NOUN fis-4790 188 12 of of ADP fis-4790 188 13 fatigue fatigue NOUN fis-4790 188 14 lifetime lifetime NOUN fis-4790 188 15 . . PUNCT fis-4790 189 1 fig fig NOUN fis-4790 189 2 . . PUNCT fis-4790 190 1 6 6 NUM fis-4790 190 2 illustrates illustrate VERB fis-4790 190 3 a a DET fis-4790 190 4 one one NUM fis-4790 190 5 - - PUNCT fis-4790 190 6 dimensional dimensional ADJ fis-4790 190 7 scatter scatter NOUN fis-4790 190 8 plot plot NOUN fis-4790 190 9 , , PUNCT fis-4790 190 10 displaying display VERB fis-4790 190 11 individual individual ADJ fis-4790 190 12 feature feature NOUN fis-4790 190 13 contributions contribution NOUN fis-4790 190 14 to to ADP fis-4790 190 15 model model NOUN fis-4790 190 16 predictions prediction NOUN fis-4790 190 17 . . PUNCT fis-4790 191 1 the the DET fis-4790 191 2 fretting fret VERB fis-4790 191 3 force force NOUN fis-4790 191 4 factor factor NOUN fis-4790 191 5 had have VERB fis-4790 191 6 the the DET fis-4790 191 7 most most ADV fis-4790 191 8 significant significant ADJ fis-4790 191 9 contribution contribution NOUN fis-4790 191 10 to to ADP fis-4790 191 11 the the DET fis-4790 191 12 estimation estimation NOUN fis-4790 191 13 of of ADP fis-4790 191 14 the the DET fis-4790 191 15 target target NOUN fis-4790 191 16 , , PUNCT fis-4790 191 17 while while SCONJ fis-4790 191 18 the the DET fis-4790 191 19 lubrication lubrication NOUN fis-4790 191 20 had have VERB fis-4790 191 21 the the DET fis-4790 191 22 lowest low ADJ fis-4790 191 23 contribution contribution NOUN fis-4790 191 24 . . PUNCT fis-4790 192 1 moreover moreover ADV fis-4790 192 2 , , PUNCT fis-4790 192 3 several several ADJ fis-4790 192 4 prior prior ADJ fis-4790 192 5 studies study NOUN fis-4790 192 6 , , PUNCT fis-4790 192 7 including include VERB fis-4790 192 8 references reference NOUN fis-4790 192 9 [ [ X fis-4790 192 10 11 11 NUM fis-4790 192 11 , , PUNCT fis-4790 192 12 12 12 NUM fis-4790 192 13 , , PUNCT fis-4790 192 14 15 15 NUM fis-4790 192 15 , , PUNCT fis-4790 192 16 24 24 NUM fis-4790 192 17 , , PUNCT fis-4790 192 18 25 25 NUM fis-4790 192 19 , , PUNCT fis-4790 192 20 33 33 NUM fis-4790 192 21 ] ] PUNCT fis-4790 192 22 , , PUNCT fis-4790 192 23 have have AUX fis-4790 192 24 employed employ VERB fis-4790 192 25 a a DET fis-4790 192 26 similar similar ADJ fis-4790 192 27 approach approach NOUN fis-4790 192 28 to to ADP fis-4790 192 29 interpreting interpret VERB fis-4790 192 30 feature feature NOUN fis-4790 192 31 significance significance NOUN fis-4790 192 32 for for ADP fis-4790 192 33 estimating estimate VERB fis-4790 192 34 the the DET fis-4790 192 35 target target NOUN fis-4790 192 36 and and CCONJ fis-4790 192 37 visualizing visualize VERB fis-4790 192 38 the the DET fis-4790 192 39 distribution distribution NOUN fis-4790 192 40 of of ADP fis-4790 192 41 shap shap NOUN fis-4790 192 42 values value NOUN fis-4790 192 43 , , PUNCT fis-4790 192 44 as as SCONJ fis-4790 192 45 seen see VERB fis-4790 192 46 in in ADP fis-4790 192 47 the the DET fis-4790 192 48 m. m. NOUN fis-4790 192 49 matin matin PROPN fis-4790 192 50 et et PROPN fis-4790 192 51 alii alii PROPN fis-4790 192 52 , , PUNCT fis-4790 192 53 frattura frattura PROPN fis-4790 192 54 ed ed PROPN fis-4790 192 55 integrità integrità PROPN fis-4790 192 56 strutturale strutturale PROPN fis-4790 192 57 , , PUNCT fis-4790 192 58 68 68 NUM fis-4790 192 59 ( ( PUNCT fis-4790 192 60 2024 2024 NUM fis-4790 192 61 ) ) PUNCT fis-4790 192 62 357 357 NUM fis-4790 192 63 - - SYM fis-4790 192 64 370 370 NUM fis-4790 192 65 ; ; PUNCT fis-4790 192 66 doi doi NOUN fis-4790 192 67 : : PUNCT fis-4790 192 68 10.3221 10.3221 NUM fis-4790 192 69 / / SYM fis-4790 192 70 igf igf PROPN fis-4790 192 71 - - PROPN fis-4790 192 72 esis.68.24 esis.68.24 ADJ fis-4790 192 73 365 365 NUM fis-4790 192 74 beeswarm beeswarm PROPN fis-4790 192 75 diagram diagram NOUN fis-4790 192 76 presented present VERB fis-4790 192 77 in in ADP fis-4790 192 78 fig fig NOUN fis-4790 192 79 . . PUNCT fis-4790 193 1 7 7 X fis-4790 193 2 . . PUNCT fis-4790 193 3 based base VERB fis-4790 193 4 on on ADP fis-4790 193 5 eqns eqns PROPN fis-4790 193 6 . . PUNCT fis-4790 194 1 ( ( PUNCT fis-4790 194 2 2 2 NUM fis-4790 194 3 ) ) PUNCT fis-4790 194 4 and and CCONJ fis-4790 194 5 ( ( PUNCT fis-4790 194 6 3 3 NUM fis-4790 194 7 ) ) PUNCT fis-4790 194 8 , , PUNCT fis-4790 194 9 each each PRON fis-4790 194 10 specified specify VERB fis-4790 194 11 feature feature NOUN fis-4790 194 12 in in ADP fis-4790 194 13 a a DET fis-4790 194 14 sample sample NOUN fis-4790 194 15 has have VERB fis-4790 194 16 a a DET fis-4790 194 17 shap shap NOUN fis-4790 194 18 value value NOUN fis-4790 194 19 that that PRON fis-4790 194 20 collects collect VERB fis-4790 194 21 to to ADP fis-4790 194 22 the the DET fis-4790 194 23 regardless regardless ADV fis-4790 194 24 of of ADP fis-4790 194 25 the the DET fis-4790 194 26 feature feature NOUN fis-4790 194 27 predicting predict VERB fis-4790 194 28 value value NOUN fis-4790 194 29 of of ADP fis-4790 194 30 the the DET fis-4790 194 31 target target NOUN fis-4790 194 32 . . PUNCT fis-4790 195 1 in in ADP fis-4790 195 2 fig fig NOUN fis-4790 195 3 . . PUNCT fis-4790 196 1 6 6 NUM fis-4790 196 2 , , PUNCT fis-4790 196 3 the the DET fis-4790 196 4 shap shap NOUN fis-4790 196 5 value value NOUN fis-4790 196 6 distribution distribution NOUN fis-4790 196 7 of of ADP fis-4790 196 8 each each DET fis-4790 196 9 feature feature NOUN fis-4790 196 10 in in ADP fis-4790 196 11 the the DET fis-4790 196 12 entire entire ADJ fis-4790 196 13 dataset dataset NOUN fis-4790 196 14 is be AUX fis-4790 196 15 demonstrated demonstrate VERB fis-4790 196 16 . . PUNCT fis-4790 197 1 however however ADV fis-4790 197 2 , , PUNCT fis-4790 197 3 fig fig NOUN fis-4790 197 4 . . PUNCT fis-4790 198 1 7 7 NUM fis-4790 198 2 depicts depict VERB fis-4790 198 3 the the DET fis-4790 198 4 mean mean ADJ fis-4790 198 5 absolute absolute ADJ fis-4790 198 6 shap shap PROPN fis-4790 198 7 value value NOUN fis-4790 198 8 among among ADP fis-4790 198 9 all all DET fis-4790 198 10 the the DET fis-4790 198 11 data datum NOUN fis-4790 198 12 . . PUNCT fis-4790 199 1 this this DET fis-4790 199 2 finding finding NOUN fis-4790 199 3 can can AUX fis-4790 199 4 aid aid VERB fis-4790 199 5 in in ADP fis-4790 199 6 classifying classify VERB fis-4790 199 7 each each DET fis-4790 199 8 feature feature NOUN fis-4790 199 9 by by ADP fis-4790 199 10 showcasing showcase VERB fis-4790 199 11 the the DET fis-4790 199 12 average average ADJ fis-4790 199 13 impact impact NOUN fis-4790 199 14 of of ADP fis-4790 199 15 each each DET fis-4790 199 16 feature feature NOUN fis-4790 199 17 on on ADP fis-4790 199 18 fatigue fatigue NOUN fis-4790 199 19 lifetime lifetime NOUN fis-4790 199 20 , , PUNCT fis-4790 199 21 as as SCONJ fis-4790 199 22 shown show VERB fis-4790 199 23 in in ADP fis-4790 199 24 fig fig NOUN fis-4790 199 25 . . PUNCT fis-4790 200 1 7(a 7(a NUM fis-4790 200 2 ) ) PUNCT fis-4790 200 3 , , PUNCT fis-4790 200 4 and and CCONJ fis-4790 200 5 the the DET fis-4790 200 6 logarithm logarithm NOUN fis-4790 200 7 of of ADP fis-4790 200 8 fatigue fatigue NOUN fis-4790 200 9 lifetimes lifetime NOUN fis-4790 200 10 , , PUNCT fis-4790 200 11 as as SCONJ fis-4790 200 12 shown show VERB fis-4790 200 13 in in ADP fis-4790 200 14 fig fig NOUN fis-4790 200 15 . . PUNCT fis-4790 201 1 7b 7b NOUN fis-4790 201 2 ) ) PUNCT fis-4790 201 3 , , PUNCT fis-4790 201 4 serving serve VERB fis-4790 201 5 as as ADP fis-4790 201 6 the the DET fis-4790 201 7 target target NOUN fis-4790 201 8 of of ADP fis-4790 201 9 the the DET fis-4790 201 10 modeling modeling NOUN fis-4790 201 11 process process NOUN fis-4790 201 12 . . PUNCT fis-4790 202 1 meanwhile meanwhile ADV fis-4790 202 2 , , PUNCT fis-4790 202 3 fig fig NOUN fis-4790 202 4 . . PUNCT fis-4790 202 5 7 7 NUM fis-4790 202 6 displays display VERB fis-4790 202 7 the the DET fis-4790 202 8 ranking ranking NOUN fis-4790 202 9 of of ADP fis-4790 202 10 variable variable ADJ fis-4790 202 11 impacts impact NOUN fis-4790 202 12 on on ADP fis-4790 202 13 model model NOUN fis-4790 202 14 predictions prediction NOUN fis-4790 202 15 . . PUNCT fis-4790 203 1 according accord VERB fis-4790 203 2 to to ADP fis-4790 203 3 the the DET fis-4790 203 4 sensitivity sensitivity NOUN fis-4790 203 5 analysis analysis NOUN fis-4790 203 6 in in ADP fis-4790 203 7 the the DET fis-4790 203 8 regression regression NOUN fis-4790 203 9 model model NOUN fis-4790 203 10 [ [ X fis-4790 203 11 17 17 NUM fis-4790 203 12 ] ] PUNCT fis-4790 203 13 , , PUNCT fis-4790 203 14 stress stress NOUN fis-4790 203 15 was be AUX fis-4790 203 16 identified identify VERB fis-4790 203 17 as as ADP fis-4790 203 18 the the DET fis-4790 203 19 most most ADV fis-4790 203 20 influential influential ADJ fis-4790 203 21 variable variable NOUN fis-4790 203 22 in in ADP fis-4790 203 23 predicting predict VERB fis-4790 203 24 the the DET fis-4790 203 25 logarithmic logarithmic ADJ fis-4790 203 26 value value NOUN fis-4790 203 27 of of ADP fis-4790 203 28 fatigue fatigue NOUN fis-4790 203 29 lifetimes lifetime NOUN fis-4790 203 30 . . PUNCT fis-4790 204 1 in in ADP fis-4790 204 2 contrast contrast NOUN fis-4790 204 3 , , PUNCT fis-4790 204 4 in in ADP fis-4790 204 5 the the DET fis-4790 204 6 shap shap PROPN fis-4790 204 7 modeling modeling NOUN fis-4790 204 8 , , PUNCT fis-4790 204 9 the the DET fis-4790 204 10 fretting fret VERB fis-4790 204 11 force force NOUN fis-4790 204 12 was be AUX fis-4790 204 13 recognized recognize VERB fis-4790 204 14 as as ADP fis-4790 204 15 the the DET fis-4790 204 16 dominant dominant ADJ fis-4790 204 17 factor factor NOUN fis-4790 204 18 . . PUNCT fis-4790 205 1 chelgani chelgani PROPN fis-4790 205 2 et et PROPN fis-4790 205 3 al al PROPN fis-4790 205 4 . . PUNCT fis-4790 206 1 [ [ X fis-4790 206 2 12 12 NUM fis-4790 206 3 ] ] PUNCT fis-4790 206 4 used use VERB fis-4790 206 5 a a DET fis-4790 206 6 method method NOUN fis-4790 206 7 similar similar ADJ fis-4790 206 8 to to ADP fis-4790 206 9 that that PRON fis-4790 206 10 shown show VERB fis-4790 206 11 in in ADP fis-4790 206 12 fig fig NOUN fis-4790 206 13 . . PUNCT fis-4790 207 1 6 6 NUM fis-4790 207 2 to to PART fis-4790 207 3 represent represent VERB fis-4790 207 4 the the DET fis-4790 207 5 correlation correlation NOUN fis-4790 207 6 between between ADP fis-4790 207 7 features feature NOUN fis-4790 207 8 and and CCONJ fis-4790 207 9 the the DET fis-4790 207 10 target target NOUN fis-4790 207 11 variable variable NOUN fis-4790 207 12 , , PUNCT fis-4790 207 13 as as ADV fis-4790 207 14 well well ADV fis-4790 207 15 as as ADP fis-4790 207 16 to to PART fis-4790 207 17 rank rank VERB fis-4790 207 18 the the DET fis-4790 207 19 features feature NOUN fis-4790 207 20 based base VERB fis-4790 207 21 on on ADP fis-4790 207 22 shap shap PROPN fis-4790 207 23 values value NOUN fis-4790 207 24 and and CCONJ fis-4790 207 25 the the DET fis-4790 207 26 xgboost xgboost PROPN fis-4790 207 27 algorithm algorithm PROPN fis-4790 207 28 . . PUNCT fis-4790 208 1 in in ADP fis-4790 208 2 the the DET fis-4790 208 3 bar bar NOUN fis-4790 208 4 plots plot NOUN fis-4790 208 5 in in ADP fis-4790 208 6 fig fig NOUN fis-4790 208 7 . . PUNCT fis-4790 209 1 7 7 NUM fis-4790 209 2 , , PUNCT fis-4790 209 3 the the DET fis-4790 209 4 color color NOUN fis-4790 209 5 is be AUX fis-4790 209 6 sensitive sensitive ADJ fis-4790 209 7 to to ADP fis-4790 209 8 changes change NOUN fis-4790 209 9 in in ADP fis-4790 209 10 the the DET fis-4790 209 11 features feature NOUN fis-4790 209 12 and and CCONJ fis-4790 209 13 their their PRON fis-4790 209 14 consequences consequence NOUN fis-4790 209 15 changing change VERB fis-4790 209 16 the the DET fis-4790 209 17 shap shap PROPN fis-4790 209 18 values value NOUN fis-4790 209 19 , , PUNCT fis-4790 209 20 not not PART fis-4790 209 21 positive positive ADJ fis-4790 209 22 and and CCONJ fis-4790 209 23 negative negative ADJ fis-4790 209 24 signs sign NOUN fis-4790 209 25 of of ADP fis-4790 209 26 the the DET fis-4790 209 27 shap shap PROPN fis-4790 209 28 values value NOUN fis-4790 209 29 [ [ X fis-4790 209 30 12,33 12,33 NUM fis-4790 209 31 ] ] PUNCT fis-4790 209 32 . . PUNCT fis-4790 210 1 the the DET fis-4790 210 2 difference difference NOUN fis-4790 210 3 , , PUNCT fis-4790 210 4 seen see VERB fis-4790 210 5 in in ADP fis-4790 210 6 the the DET fis-4790 210 7 bar bar NOUN fis-4790 210 8 plots plot NOUN fis-4790 210 9 between between ADP fis-4790 210 10 figs fig NOUN fis-4790 210 11 . . PUNCT fis-4790 210 12 7 7 NUM fis-4790 210 13 ( ( PUNCT fis-4790 210 14 a a NOUN fis-4790 210 15 ) ) PUNCT fis-4790 210 16 and and CCONJ fis-4790 210 17 ( ( PUNCT fis-4790 210 18 b b NOUN fis-4790 210 19 ) ) PUNCT fis-4790 210 20 for for ADP fis-4790 210 21 the the DET fis-4790 210 22 lubrication lubrication NOUN fis-4790 210 23 , , PUNCT fis-4790 210 24 is be AUX fis-4790 210 25 also also ADV fis-4790 210 26 evident evident ADJ fis-4790 210 27 in in ADP fis-4790 210 28 figs fig NOUN fis-4790 210 29 . . PUNCT fis-4790 211 1 3 3 NUM fis-4790 211 2 ( ( PUNCT fis-4790 211 3 a a NOUN fis-4790 211 4 ) ) PUNCT fis-4790 211 5 and and CCONJ fis-4790 211 6 ( ( PUNCT fis-4790 211 7 b b NOUN fis-4790 211 8 ) ) PUNCT fis-4790 211 9 for for ADP fis-4790 211 10 the the DET fis-4790 211 11 lubrication lubrication NOUN fis-4790 211 12 , , PUNCT fis-4790 211 13 illustrating illustrate VERB fis-4790 211 14 the the DET fis-4790 211 15 sensitivity sensitivity NOUN fis-4790 211 16 of of ADP fis-4790 211 17 regression regression NOUN fis-4790 211 18 modeling modeling NOUN fis-4790 211 19 and and CCONJ fis-4790 211 20 xgboost xgboost ADV fis-4790 211 21 to to ADP fis-4790 211 22 logarithmic logarithmic ADJ fis-4790 211 23 transformations transformation NOUN fis-4790 211 24 [ [ X fis-4790 211 25 37 37 NUM fis-4790 211 26 ] ] PUNCT fis-4790 211 27 . . PUNCT fis-4790 212 1 ( ( PUNCT fis-4790 212 2 a a X fis-4790 212 3 ) ) PUNCT fis-4790 212 4 ( ( PUNCT fis-4790 212 5 b b X fis-4790 212 6 ) ) PUNCT fis-4790 212 7 figure figure NOUN fis-4790 212 8 6 6 NUM fis-4790 213 1 : : PUNCT fis-4790 213 2 the the DET fis-4790 213 3 beeswarm beeswarm PROPN fis-4790 213 4 diagram diagram PROPN fis-4790 213 5 illustrates illustrate VERB fis-4790 213 6 the the DET fis-4790 213 7 shap shap PROPN fis-4790 213 8 distribution distribution NOUN fis-4790 213 9 among among ADP fis-4790 213 10 the the DET fis-4790 213 11 variables variable NOUN fis-4790 213 12 in in ADP fis-4790 213 13 all all PRON fis-4790 213 14 of of ADP fis-4790 213 15 the the DET fis-4790 213 16 trained train VERB fis-4790 213 17 samples sample NOUN fis-4790 213 18 using use VERB fis-4790 213 19 xgboost xgboost ADV fis-4790 213 20 for for ADP fis-4790 213 21 ( ( PUNCT fis-4790 213 22 a a PRON fis-4790 213 23 ) ) PUNCT fis-4790 213 24 fatigue fatigue NOUN fis-4790 213 25 lifetimes lifetime NOUN fis-4790 213 26 and and CCONJ fis-4790 213 27 ( ( PUNCT fis-4790 213 28 b b X fis-4790 213 29 ) ) PUNCT fis-4790 213 30 the the DET fis-4790 213 31 logarithmic logarithmic ADJ fis-4790 213 32 value value NOUN fis-4790 213 33 of of ADP fis-4790 213 34 fatigue fatigue NOUN fis-4790 213 35 lifetimes lifetime NOUN fis-4790 213 36 . . PUNCT fis-4790 214 1 m. m. NOUN fis-4790 214 2 matin matin PROPN fis-4790 214 3 et et PROPN fis-4790 214 4 alii alii PROPN fis-4790 214 5 , , PUNCT fis-4790 214 6 frattura frattura PROPN fis-4790 214 7 ed ed PROPN fis-4790 214 8 integrità integrità PROPN fis-4790 214 9 strutturale strutturale PROPN fis-4790 214 10 , , PUNCT fis-4790 214 11 68 68 NUM fis-4790 214 12 ( ( PUNCT fis-4790 214 13 2024 2024 NUM fis-4790 214 14 ) ) PUNCT fis-4790 214 15 357 357 NUM fis-4790 214 16 - - SYM fis-4790 214 17 370 370 NUM fis-4790 214 18 ; ; PUNCT fis-4790 214 19 doi doi NOUN fis-4790 214 20 : : PUNCT fis-4790 214 21 10.3221 10.3221 NUM fis-4790 214 22 / / SYM fis-4790 214 23 igf igf PROPN fis-4790 214 24 - - PUNCT fis-4790 214 25 esis.68.24 esis.68.24 PROPN fis-4790 214 26 366 366 NUM fis-4790 214 27 ( ( PUNCT fis-4790 214 28 a a NOUN fis-4790 214 29 ) ) PUNCT fis-4790 214 30 ( ( PUNCT fis-4790 214 31 b b X fis-4790 214 32 ) ) PUNCT fis-4790 214 33 figure figure NOUN fis-4790 214 34 7 7 NUM fis-4790 214 35 : : PUNCT fis-4790 214 36 the the DET fis-4790 214 37 mean mean ADJ fis-4790 214 38 shap shap NOUN fis-4790 214 39 value value NOUN fis-4790 214 40 of of ADP fis-4790 214 41 different different ADJ fis-4790 214 42 inputs input NOUN fis-4790 214 43 modeled model VERB fis-4790 214 44 with with ADP fis-4790 214 45 xgboost xgboost ADV fis-4790 214 46 using use VERB fis-4790 214 47 all all PRON fis-4790 214 48 of of ADP fis-4790 214 49 the the DET fis-4790 214 50 samples sample NOUN fis-4790 214 51 as as ADP fis-4790 214 52 trained train VERB fis-4790 214 53 data datum NOUN fis-4790 214 54 for for ADP fis-4790 214 55 ( ( PUNCT fis-4790 214 56 a a PRON fis-4790 214 57 ) ) PUNCT fis-4790 214 58 fatigue fatigue NOUN fis-4790 214 59 lifetimes lifetime NOUN fis-4790 214 60 modeling modeling NOUN fis-4790 214 61 and and CCONJ fis-4790 214 62 ( ( PUNCT fis-4790 214 63 b b X fis-4790 214 64 ) ) PUNCT fis-4790 214 65 the the DET fis-4790 214 66 logarithmic logarithmic ADJ fis-4790 214 67 value value NOUN fis-4790 214 68 of of ADP fis-4790 214 69 fatigue fatigue NOUN fis-4790 214 70 lifetimes lifetime NOUN fis-4790 214 71 modeling modeling NOUN fis-4790 214 72 . . PUNCT fis-4790 215 1 to to PART fis-4790 215 2 understand understand VERB fis-4790 215 3 how how SCONJ fis-4790 215 4 an an DET fis-4790 215 5 individual individual ADJ fis-4790 215 6 variable variable NOUN fis-4790 215 7 affects affect VERB fis-4790 215 8 the the DET fis-4790 215 9 target target NOUN fis-4790 215 10 , , PUNCT fis-4790 215 11 fig fig NOUN fis-4790 215 12 . . PUNCT fis-4790 215 13 8 8 NUM fis-4790 215 14 illustrates illustrate VERB fis-4790 215 15 the the DET fis-4790 215 16 shap shap PROPN fis-4790 215 17 values value NOUN fis-4790 215 18 of of ADP fis-4790 215 19 that that DET fis-4790 215 20 variable variable NOUN fis-4790 215 21 across across ADP fis-4790 215 22 all all DET fis-4790 215 23 samples sample NOUN fis-4790 215 24 for for ADP fis-4790 215 25 different different ADJ fis-4790 215 26 parameter parameter NOUN fis-4790 215 27 values value NOUN fis-4790 215 28 . . PUNCT fis-4790 216 1 in in ADP fis-4790 216 2 fig fig NOUN fis-4790 216 3 . . PUNCT fis-4790 217 1 8 8 NUM fis-4790 217 2 , , PUNCT fis-4790 217 3 another another DET fis-4790 217 4 variable variable NOUN fis-4790 217 5 , , PUNCT fis-4790 217 6 such such ADJ fis-4790 217 7 as as ADP fis-4790 217 8 stress stress NOUN fis-4790 217 9 , , PUNCT fis-4790 217 10 was be AUX fis-4790 217 11 employed employ VERB fis-4790 217 12 to to PART fis-4790 217 13 color color VERB fis-4790 217 14 the the DET fis-4790 217 15 samples sample NOUN fis-4790 217 16 , , PUNCT fis-4790 217 17 illustrating illustrate VERB fis-4790 217 18 the the DET fis-4790 217 19 relationship relationship NOUN fis-4790 217 20 between between ADP fis-4790 217 21 stress stress NOUN fis-4790 217 22 and and CCONJ fis-4790 217 23 other other ADJ fis-4790 217 24 variables variable NOUN fis-4790 217 25 . . PUNCT fis-4790 218 1 the the DET fis-4790 218 2 concentration concentration NOUN fis-4790 218 3 of of ADP fis-4790 218 4 data datum NOUN fis-4790 218 5 points point NOUN fis-4790 218 6 in in ADP fis-4790 218 7 figs fig NOUN fis-4790 218 8 . . PUNCT fis-4790 218 9 8 8 NUM fis-4790 218 10 ( ( PUNCT fis-4790 218 11 c c NOUN fis-4790 218 12 ) ) PUNCT fis-4790 218 13 , , PUNCT fis-4790 218 14 ( ( PUNCT fis-4790 218 15 e e NOUN fis-4790 218 16 ) ) PUNCT fis-4790 218 17 , , PUNCT fis-4790 218 18 and and CCONJ fis-4790 218 19 ( ( PUNCT fis-4790 218 20 f f X fis-4790 218 21 ) ) PUNCT fis-4790 218 22 in in ADP fis-4790 218 23 scatter scatter NOUN fis-4790 218 24 plots plot NOUN fis-4790 218 25 is be AUX fis-4790 218 26 noticeable noticeable ADJ fis-4790 218 27 in in ADP fis-4790 218 28 certain certain ADJ fis-4790 218 29 regions region NOUN fis-4790 218 30 linked link VERB fis-4790 218 31 to to ADP fis-4790 218 32 categorical categorical ADJ fis-4790 218 33 features feature NOUN fis-4790 218 34 . . PUNCT fis-4790 219 1 additionally additionally ADV fis-4790 219 2 , , PUNCT fis-4790 219 3 the the DET fis-4790 219 4 distribution distribution NOUN fis-4790 219 5 of of ADP fis-4790 219 6 various various ADJ fis-4790 219 7 values value NOUN fis-4790 219 8 among among ADP fis-4790 219 9 these these DET fis-4790 219 10 features feature NOUN fis-4790 219 11 was be AUX fis-4790 219 12 not not PART fis-4790 219 13 uniform uniform ADJ fis-4790 219 14 across across ADP fis-4790 219 15 samples sample NOUN fis-4790 219 16 , , PUNCT fis-4790 219 17 consistent consistent ADJ fis-4790 219 18 with with ADP fis-4790 219 19 previous previous ADJ fis-4790 219 20 research research NOUN fis-4790 219 21 on on ADP fis-4790 219 22 categorical categorical ADJ fis-4790 219 23 features feature NOUN fis-4790 219 24 [ [ X fis-4790 219 25 33 33 NUM fis-4790 219 26 ] ] PUNCT fis-4790 219 27 . . PUNCT fis-4790 220 1 based base VERB fis-4790 220 2 on on ADP fis-4790 220 3 the the DET fis-4790 220 4 points point NOUN fis-4790 220 5 mentioned mention VERB fis-4790 220 6 in in ADP fis-4790 220 7 modeling model VERB fis-4790 220 8 techniques technique NOUN fis-4790 220 9 section section NOUN fis-4790 220 10 , , PUNCT fis-4790 220 11 shap shap PROPN fis-4790 220 12 values value NOUN fis-4790 220 13 rely rely VERB fis-4790 220 14 on on ADP fis-4790 220 15 the the DET fis-4790 220 16 game game NOUN fis-4790 220 17 theory theory NOUN fis-4790 220 18 . . PUNCT fis-4790 221 1 according accord VERB fis-4790 221 2 to to ADP fis-4790 221 3 eqn eqn PROPN fis-4790 221 4 . . PUNCT fis-4790 222 1 ( ( PUNCT fis-4790 222 2 3 3 NUM fis-4790 222 3 ) ) PUNCT fis-4790 222 4 , , PUNCT fis-4790 222 5 each each DET fis-4790 222 6 sample sample NOUN fis-4790 222 7 , , PUNCT fis-4790 222 8 after after ADP fis-4790 222 9 interpretation interpretation NOUN fis-4790 222 10 with with ADP fis-4790 222 11 shap shap PROPN fis-4790 222 12 values value NOUN fis-4790 222 13 , , PUNCT fis-4790 222 14 is be AUX fis-4790 222 15 assigned assign VERB fis-4790 222 16 a a DET fis-4790 222 17 prediction prediction NOUN fis-4790 222 18 value value NOUN fis-4790 222 19 regardless regardless ADV fis-4790 222 20 of of ADP fis-4790 222 21 other other ADJ fis-4790 222 22 features feature NOUN fis-4790 222 23 . . PUNCT fis-4790 223 1 furthermore furthermore ADV fis-4790 223 2 , , PUNCT fis-4790 223 3 each each DET fis-4790 223 4 feature feature NOUN fis-4790 223 5 has have VERB fis-4790 223 6 a a DET fis-4790 223 7 corresponding corresponding ADJ fis-4790 223 8 shap shap NOUN fis-4790 223 9 value value NOUN fis-4790 223 10 , , PUNCT fis-4790 223 11 and and CCONJ fis-4790 223 12 these these DET fis-4790 223 13 values value NOUN fis-4790 223 14 are be AUX fis-4790 223 15 aggregated aggregate VERB fis-4790 223 16 for for ADP fis-4790 223 17 predictions prediction NOUN fis-4790 223 18 . . PUNCT fis-4790 224 1 if if SCONJ fis-4790 224 2 there there PRON fis-4790 224 3 is be VERB fis-4790 224 4 no no DET fis-4790 224 5 interaction interaction NOUN fis-4790 224 6 between between ADP fis-4790 224 7 variables variable NOUN fis-4790 224 8 , , PUNCT fis-4790 224 9 a a DET fis-4790 224 10 figure figure NOUN fis-4790 224 11 like like ADP fis-4790 224 12 fig fig NOUN fis-4790 224 13 . . PUNCT fis-4790 225 1 8 8 NUM fis-4790 225 2 can can AUX fis-4790 225 3 provide provide VERB fis-4790 225 4 readers reader NOUN fis-4790 225 5 with with ADP fis-4790 225 6 an an DET fis-4790 225 7 overall overall ADJ fis-4790 225 8 estimation estimation NOUN fis-4790 225 9 of of ADP fis-4790 225 10 the the DET fis-4790 225 11 logarithm logarithm NOUN fis-4790 225 12 value value NOUN fis-4790 225 13 of of ADP fis-4790 225 14 fatigue fatigue NOUN fis-4790 225 15 lifetimes lifetime NOUN fis-4790 225 16 for for ADP fis-4790 225 17 their their PRON fis-4790 225 18 assumed assume VERB fis-4790 225 19 variables variable NOUN fis-4790 225 20 , , PUNCT fis-4790 225 21 without without ADP fis-4790 225 22 resorting resort VERB fis-4790 225 23 to to ADP fis-4790 225 24 complex complex ADJ fis-4790 225 25 computational computational ADJ fis-4790 225 26 methods method NOUN fis-4790 225 27 . . PUNCT fis-4790 226 1 to to PART fis-4790 226 2 support support VERB fis-4790 226 3 this this DET fis-4790 226 4 claim claim NOUN fis-4790 226 5 , , PUNCT fis-4790 226 6 considering consider VERB fis-4790 226 7 fig fig NOUN fis-4790 226 8 . . PUNCT fis-4790 227 1 8(a 8(a NUM fis-4790 227 2 ) ) PUNCT fis-4790 227 3 , , PUNCT fis-4790 227 4 which which PRON fis-4790 227 5 illustrates illustrate VERB fis-4790 227 6 how how SCONJ fis-4790 227 7 the the DET fis-4790 227 8 shap shap NOUN fis-4790 227 9 value value NOUN fis-4790 227 10 for for ADP fis-4790 227 11 estimating estimate VERB fis-4790 227 12 the the DET fis-4790 227 13 logarithm logarithm NOUN fis-4790 227 14 value value NOUN fis-4790 227 15 of of ADP fis-4790 227 16 fatigue fatigue NOUN fis-4790 227 17 lifetimes lifetime NOUN fis-4790 227 18 changes change NOUN fis-4790 227 19 with with ADP fis-4790 227 20 the the DET fis-4790 227 21 fretting fret VERB fis-4790 227 22 force force NOUN fis-4790 227 23 . . PUNCT fis-4790 228 1 for for ADP fis-4790 228 2 instance instance NOUN fis-4790 228 3 , , PUNCT fis-4790 228 4 when when SCONJ fis-4790 228 5 the the DET fis-4790 228 6 fretting fret VERB fis-4790 228 7 force force NOUN fis-4790 228 8 is be AUX fis-4790 228 9 zero zero NUM fis-4790 228 10 , , PUNCT fis-4790 228 11 the the DET fis-4790 228 12 shap shap NOUN fis-4790 228 13 value value NOUN fis-4790 228 14 is be AUX fis-4790 228 15 approximately approximately ADV fis-4790 228 16 +0.5 +0.5 NUM fis-4790 228 17 , , PUNCT fis-4790 228 18 while while SCONJ fis-4790 228 19 at at ADP fis-4790 228 20 +10 +10 NOUN fis-4790 228 21 n n CCONJ fis-4790 228 22 , , PUNCT fis-4790 228 23 it it PRON fis-4790 228 24 becomes become VERB fis-4790 228 25 about about ADP fis-4790 228 26 -0.5 -0.5 NUM fis-4790 228 27 . . PUNCT fis-4790 229 1 notably notably ADV fis-4790 229 2 , , PUNCT fis-4790 229 3 the the DET fis-4790 229 4 shap shap NOUN fis-4790 229 5 value value NOUN fis-4790 229 6 decreases decrease VERB fis-4790 229 7 further far ADV fis-4790 229 8 to to ADP fis-4790 229 9 about about ADP fis-4790 229 10 -1 -1 INTJ fis-4790 229 11 when when SCONJ fis-4790 229 12 the the DET fis-4790 229 13 fretting fret VERB fis-4790 229 14 force force NOUN fis-4790 229 15 increases increase VERB fis-4790 229 16 from from ADP fis-4790 229 17 10 10 NUM fis-4790 229 18 n n NOUN fis-4790 229 19 to to ADP fis-4790 229 20 15 15 NUM fis-4790 229 21 n. n. NOUN fis-4790 229 22 however however ADV fis-4790 229 23 , , PUNCT fis-4790 229 24 the the DET fis-4790 229 25 shap shap NOUN fis-4790 229 26 value value NOUN fis-4790 229 27 does do AUX fis-4790 229 28 not not PART fis-4790 229 29 significantly significantly ADV fis-4790 229 30 change change VERB fis-4790 229 31 from from ADP fis-4790 229 32 15 15 NUM fis-4790 229 33 n n NOUN fis-4790 229 34 to to ADP fis-4790 229 35 20 20 NUM fis-4790 229 36 n n NOUN fis-4790 229 37 at at ADP fis-4790 229 38 low low ADJ fis-4790 229 39 stress stress NOUN fis-4790 229 40 levels level NOUN fis-4790 229 41 . . PUNCT fis-4790 230 1 this this DET fis-4790 230 2 observation observation NOUN fis-4790 230 3 highlights highlight VERB fis-4790 230 4 the the DET fis-4790 230 5 non non ADJ fis-4790 230 6 - - ADJ fis-4790 230 7 linear linear ADJ fis-4790 230 8 behavior behavior NOUN fis-4790 230 9 of of ADP fis-4790 230 10 the the DET fis-4790 230 11 fretting fret VERB fis-4790 230 12 force force NOUN fis-4790 230 13 in in ADP fis-4790 230 14 the the DET fis-4790 230 15 estimation estimation NOUN fis-4790 230 16 of of ADP fis-4790 230 17 the the DET fis-4790 230 18 logarithm logarithm NOUN fis-4790 230 19 value value NOUN fis-4790 230 20 of of ADP fis-4790 230 21 fatigue fatigue NOUN fis-4790 230 22 lifetimes lifetime NOUN fis-4790 230 23 . . PUNCT fis-4790 231 1 moreover moreover ADV fis-4790 231 2 , , PUNCT fis-4790 231 3 the the DET fis-4790 231 4 interpretation interpretation NOUN fis-4790 231 5 of of ADP fis-4790 231 6 shap shap PROPN fis-4790 231 7 values value NOUN fis-4790 231 8 for for ADP fis-4790 231 9 corrosion corrosion NOUN fis-4790 231 10 time time NOUN fis-4790 231 11 in in ADP fis-4790 231 12 fig fig NOUN fis-4790 231 13 . . PUNCT fis-4790 232 1 8(b 8(b NUM fis-4790 232 2 ) ) PUNCT fis-4790 233 1 demonstrates demonstrate VERB fis-4790 233 2 that that SCONJ fis-4790 233 3 when when SCONJ fis-4790 233 4 time time NOUN fis-4790 233 5 changes change VERB fis-4790 233 6 from from ADP fis-4790 233 7 zero zero NUM fis-4790 233 8 to to ADP fis-4790 233 9 100 100 NUM fis-4790 233 10 hrs hrs NOUN fis-4790 233 11 , , PUNCT fis-4790 233 12 the the DET fis-4790 233 13 shap shap PROPN fis-4790 233 14 values value NOUN fis-4790 233 15 for for ADP fis-4790 233 16 corrosion corrosion NOUN fis-4790 233 17 time time NOUN fis-4790 233 18 approximately approximately ADV fis-4790 233 19 change change VERB fis-4790 233 20 from from ADP fis-4790 233 21 0.2 0.2 NUM fis-4790 233 22 to to ADP fis-4790 233 23 -0.2 -0.2 PROPN fis-4790 233 24 . . PUNCT fis-4790 234 1 while while SCONJ fis-4790 234 2 the the DET fis-4790 234 3 change change NOUN fis-4790 234 4 in in ADP fis-4790 234 5 the the DET fis-4790 234 6 corrosion corrosion NOUN fis-4790 234 7 time time NOUN fis-4790 234 8 from from ADP fis-4790 234 9 100 100 NUM fis-4790 234 10 hrs hrs NOUN fis-4790 234 11 to to ADP fis-4790 234 12 200 200 NUM fis-4790 234 13 hrs hrs NOUN fis-4790 234 14 is be AUX fis-4790 234 15 observed observe VERB fis-4790 234 16 , , PUNCT fis-4790 234 17 the the DET fis-4790 234 18 shap shap PROPN fis-4790 234 19 values value NOUN fis-4790 234 20 for for ADP fis-4790 234 21 corrosion corrosion NOUN fis-4790 234 22 time time NOUN fis-4790 234 23 change change NOUN fis-4790 234 24 from from ADP fis-4790 234 25 approximately approximately ADV fis-4790 234 26 -0.2 -0.2 NOUN fis-4790 234 27 to to ADP fis-4790 234 28 -0.4 -0.4 NUM fis-4790 234 29 . . PUNCT fis-4790 235 1 this this DET fis-4790 235 2 finding finding NOUN fis-4790 235 3 illustrates illustrate VERB fis-4790 235 4 that that SCONJ fis-4790 235 5 there there PRON fis-4790 235 6 is be VERB fis-4790 235 7 non non ADJ fis-4790 235 8 - - ADJ fis-4790 235 9 linearity linearity ADJ fis-4790 235 10 in in ADP fis-4790 235 11 the the DET fis-4790 235 12 behavior behavior NOUN fis-4790 235 13 of of ADP fis-4790 235 14 the the DET fis-4790 235 15 distribution distribution NOUN fis-4790 235 16 of of ADP fis-4790 235 17 shap shap NOUN fis-4790 235 18 values value NOUN fis-4790 235 19 for for ADP fis-4790 235 20 the the DET fis-4790 235 21 corrosion corrosion NOUN fis-4790 235 22 time time NOUN fis-4790 235 23 when when SCONJ fis-4790 235 24 changing change VERB fis-4790 235 25 from from ADP fis-4790 235 26 zero zero NUM fis-4790 235 27 to to ADP fis-4790 235 28 100 100 NUM fis-4790 235 29 hrs hrs NOUN fis-4790 235 30 , , PUNCT fis-4790 235 31 while while SCONJ fis-4790 235 32 the the DET fis-4790 235 33 time time NOUN fis-4790 235 34 changed change VERB fis-4790 235 35 from from ADP fis-4790 235 36 100 100 NUM fis-4790 235 37 hrs hrs NOUN fis-4790 235 38 to to ADP fis-4790 235 39 200 200 NUM fis-4790 235 40 hrs hrs NOUN fis-4790 235 41 exhibits exhibit NOUN fis-4790 235 42 linearity linearity NOUN fis-4790 235 43 , , PUNCT fis-4790 235 44 as as SCONJ fis-4790 235 45 can can AUX fis-4790 235 46 be be AUX fis-4790 235 47 concluded conclude VERB fis-4790 235 48 from from ADP fis-4790 235 49 this this DET fis-4790 235 50 figure figure NOUN fis-4790 235 51 . . PUNCT fis-4790 236 1 these these DET fis-4790 236 2 findings finding NOUN fis-4790 236 3 consistently consistently ADV fis-4790 236 4 hold hold VERB fis-4790 236 5 across across ADP fis-4790 236 6 all all DET fis-4790 236 7 sections section NOUN fis-4790 236 8 of of ADP fis-4790 236 9 fig fig NOUN fis-4790 236 10 . . PUNCT fis-4790 237 1 8 8 NUM fis-4790 237 2 . . X fis-4790 237 3 through through ADP fis-4790 237 4 the the DET fis-4790 237 5 analysis analysis NOUN fis-4790 237 6 of of ADP fis-4790 237 7 shap shap PROPN fis-4790 237 8 values value NOUN fis-4790 237 9 , , PUNCT fis-4790 237 10 the the DET fis-4790 237 11 utilization utilization NOUN fis-4790 237 12 of of ADP fis-4790 237 13 the the DET fis-4790 237 14 pearson pearson NOUN fis-4790 237 15 correlation correlation NOUN fis-4790 237 16 matrix matrix NOUN fis-4790 237 17 , , PUNCT fis-4790 237 18 and and CCONJ fis-4790 237 19 an an DET fis-4790 237 20 understanding understanding NOUN fis-4790 237 21 of of ADP fis-4790 237 22 the the DET fis-4790 237 23 physics physics NOUN fis-4790 237 24 of of ADP fis-4790 237 25 the the DET fis-4790 237 26 dataset dataset NOUN fis-4790 237 27 variables variable NOUN fis-4790 237 28 , , PUNCT fis-4790 237 29 it it PRON fis-4790 237 30 becomes become VERB fis-4790 237 31 evident evident ADJ fis-4790 237 32 that that SCONJ fis-4790 237 33 there there PRON fis-4790 237 34 is be VERB fis-4790 237 35 no no DET fis-4790 237 36 interaction interaction NOUN fis-4790 237 37 between between ADP fis-4790 237 38 variables variable NOUN fis-4790 237 39 . . PUNCT fis-4790 238 1 therefore therefore ADV fis-4790 238 2 , , PUNCT fis-4790 238 3 based base VERB fis-4790 238 4 on on ADP fis-4790 238 5 the the DET fis-4790 238 6 game game NOUN fis-4790 238 7 theory theory NOUN fis-4790 238 8 , , PUNCT fis-4790 238 9 the the DET fis-4790 238 10 overall overall ADJ fis-4790 238 11 change change NOUN fis-4790 238 12 in in ADP fis-4790 238 13 the the DET fis-4790 238 14 estimated estimate VERB fis-4790 238 15 logarithm logarithm NOUN fis-4790 238 16 value value NOUN fis-4790 238 17 of of ADP fis-4790 238 18 fatigue fatigue NOUN fis-4790 238 19 lifetimes lifetime NOUN fis-4790 238 20 can can AUX fis-4790 238 21 be be AUX fis-4790 238 22 derived derive VERB fis-4790 238 23 from from ADP fis-4790 238 24 this this DET fis-4790 238 25 figure figure NOUN fis-4790 238 26 for for ADP fis-4790 238 27 each each DET fis-4790 238 28 specified specify VERB fis-4790 238 29 sample sample NOUN fis-4790 238 30 . . PUNCT fis-4790 239 1 m. m. NOUN fis-4790 239 2 matin matin PROPN fis-4790 239 3 et et PROPN fis-4790 239 4 alii alii PROPN fis-4790 239 5 , , PUNCT fis-4790 239 6 frattura frattura PROPN fis-4790 239 7 ed ed PROPN fis-4790 239 8 integrità integrità PROPN fis-4790 239 9 strutturale strutturale PROPN fis-4790 239 10 , , PUNCT fis-4790 239 11 68 68 NUM fis-4790 239 12 ( ( PUNCT fis-4790 239 13 2024 2024 NUM fis-4790 239 14 ) ) PUNCT fis-4790 239 15 357 357 NUM fis-4790 239 16 - - SYM fis-4790 239 17 370 370 NUM fis-4790 239 18 ; ; PUNCT fis-4790 239 19 doi doi NOUN fis-4790 239 20 : : PUNCT fis-4790 239 21 10.3221 10.3221 NUM fis-4790 239 22 / / SYM fis-4790 239 23 igf igf PROPN fis-4790 239 24 - - PROPN fis-4790 239 25 esis.68.24 esis.68.24 PROPN fis-4790 239 26 367 367 NUM fis-4790 239 27 ( ( PUNCT fis-4790 239 28 a a NOUN fis-4790 239 29 ) ) PUNCT fis-4790 239 30 ( ( PUNCT fis-4790 239 31 b b X fis-4790 239 32 ) ) PUNCT fis-4790 239 33 ( ( PUNCT fis-4790 239 34 c c X fis-4790 239 35 ) ) PUNCT fis-4790 239 36 ( ( PUNCT fis-4790 239 37 d d X fis-4790 239 38 ) ) PUNCT fis-4790 239 39 ( ( PUNCT fis-4790 239 40 e e NOUN fis-4790 239 41 ) ) PUNCT fis-4790 239 42 ( ( PUNCT fis-4790 239 43 f f X fis-4790 239 44 ) ) PUNCT fis-4790 239 45 figure figure NOUN fis-4790 239 46 8 8 NUM fis-4790 239 47 : : PUNCT fis-4790 239 48 the the DET fis-4790 239 49 histogram histogram NOUN fis-4790 239 50 and and CCONJ fis-4790 239 51 scatter scatter NOUN fis-4790 239 52 plot plot NOUN fis-4790 239 53 for for ADP fis-4790 239 54 the the DET fis-4790 239 55 shap shap PROPN fis-4790 239 56 values value NOUN fis-4790 239 57 of of ADP fis-4790 239 58 the the DET fis-4790 239 59 logarithmic logarithmic ADJ fis-4790 239 60 value value NOUN fis-4790 239 61 of of ADP fis-4790 239 62 fatigue fatigue NOUN fis-4790 239 63 lifetimes lifetime NOUN fis-4790 239 64 modeling modeling NOUN fis-4790 239 65 with with ADP fis-4790 239 66 xgboost xgboost ADV fis-4790 239 67 using use VERB fis-4790 239 68 all all PRON fis-4790 239 69 of of ADP fis-4790 239 70 the the DET fis-4790 239 71 samples sample NOUN fis-4790 239 72 as as ADP fis-4790 239 73 trained train VERB fis-4790 239 74 data datum NOUN fis-4790 239 75 for for ADP fis-4790 239 76 different different ADJ fis-4790 239 77 variables variable NOUN fis-4790 239 78 : : PUNCT fis-4790 239 79 ( ( PUNCT fis-4790 239 80 a a X fis-4790 239 81 ) ) PUNCT fis-4790 239 82 the the DET fis-4790 239 83 fretting fret VERB fis-4790 239 84 force force NOUN fis-4790 239 85 , , PUNCT fis-4790 239 86 ( ( PUNCT fis-4790 239 87 b b X fis-4790 239 88 ) ) PUNCT fis-4790 239 89 the the DET fis-4790 239 90 corrosion corrosion NOUN fis-4790 239 91 time time NOUN fis-4790 239 92 , , PUNCT fis-4790 239 93 ( ( PUNCT fis-4790 239 94 c c X fis-4790 239 95 ) ) PUNCT fis-4790 239 96 nano nano NOUN fis-4790 239 97 - - PUNCT fis-4790 239 98 particles particle NOUN fis-4790 239 99 , , PUNCT fis-4790 239 100 ( ( PUNCT fis-4790 239 101 d d X fis-4790 239 102 ) ) PUNCT fis-4790 239 103 the the DET fis-4790 239 104 stress stress NOUN fis-4790 239 105 , , PUNCT fis-4790 239 106 ( ( PUNCT fis-4790 239 107 e e X fis-4790 239 108 ) ) PUNCT fis-4790 239 109 the the DET fis-4790 239 110 lubrication lubrication NOUN fis-4790 239 111 , , PUNCT fis-4790 239 112 and and CCONJ fis-4790 239 113 ( ( PUNCT fis-4790 239 114 f f X fis-4790 239 115 ) ) PUNCT fis-4790 239 116 the the DET fis-4790 239 117 heat heat NOUN fis-4790 239 118 treatment treatment NOUN fis-4790 239 119 . . PUNCT fis-4790 240 1 to to PART fis-4790 240 2 illustrate illustrate VERB fis-4790 240 3 how how SCONJ fis-4790 240 4 the the DET fis-4790 240 5 game game NOUN fis-4790 240 6 theory theory NOUN fis-4790 240 7 , , PUNCT fis-4790 240 8 in in ADP fis-4790 240 9 conjunction conjunction NOUN fis-4790 240 10 with with ADP fis-4790 240 11 shap shap PROPN fis-4790 240 12 values value NOUN fis-4790 240 13 , , PUNCT fis-4790 240 14 can can AUX fis-4790 240 15 provide provide VERB fis-4790 240 16 an an DET fis-4790 240 17 overview overview NOUN fis-4790 240 18 for for ADP fis-4790 240 19 estimating estimate VERB fis-4790 240 20 the the DET fis-4790 240 21 logarithm logarithm NOUN fis-4790 240 22 value value NOUN fis-4790 240 23 of of ADP fis-4790 240 24 fatigue fatigue NOUN fis-4790 240 25 lifetimes lifetime NOUN fis-4790 240 26 , , PUNCT fis-4790 240 27 fig fig NOUN fis-4790 240 28 . . PUNCT fis-4790 241 1 9 9 NUM fis-4790 241 2 showcases showcase NOUN fis-4790 241 3 samples sample NOUN fis-4790 241 4 numbered number VERB fis-4790 241 5 20 20 NUM fis-4790 241 6 and and CCONJ fis-4790 241 7 65 65 NUM fis-4790 241 8 from from ADP fis-4790 241 9 the the DET fis-4790 241 10 experimental experimental ADJ fis-4790 241 11 dataset dataset NOUN fis-4790 241 12 . . PUNCT fis-4790 242 1 in in ADP fis-4790 242 2 this this DET fis-4790 242 3 figure figure NOUN fis-4790 242 4 , , PUNCT fis-4790 242 5 each each DET fis-4790 242 6 feature feature NOUN fis-4790 242 7 is be AUX fis-4790 242 8 assigned assign VERB fis-4790 242 9 a a DET fis-4790 242 10 specified specify VERB fis-4790 242 11 shap shap NOUN fis-4790 242 12 value value NOUN fis-4790 242 13 , , PUNCT fis-4790 242 14 where where SCONJ fis-4790 242 15   NOUN fis-4790 242 16 f f PROPN fis-4790 242 17 x x PUNCT fis-4790 242 18 represents represent VERB fis-4790 242 19 the the DET fis-4790 242 20 estimated estimate VERB fis-4790 242 21 logarithm logarithm NOUN fis-4790 242 22 value value NOUN fis-4790 242 23 of of ADP fis-4790 242 24 fatigue fatigue NOUN fis-4790 242 25 lifetimes lifetime NOUN fis-4790 242 26 and and CCONJ fis-4790 242 27   PROPN fis-4790 243 1 e e PROPN fis-4790 243 2 f f PROPN fis-4790 243 3 x x PROPN fis-4790 244 1   PROPN fis-4790 244 2   PROPN fis-4790 244 3 denotes denote VERB fis-4790 244 4 the the DET fis-4790 244 5 predicted predict VERB fis-4790 244 6 logarithm logarithm NOUN fis-4790 244 7 of of ADP fis-4790 244 8 fatigue fatigue NOUN fis-4790 244 9 lifetimes lifetime NOUN fis-4790 244 10 irrespective irrespective ADV fis-4790 244 11 of of ADP fis-4790 244 12 features feature NOUN fis-4790 244 13 . . PUNCT fis-4790 245 1 notably notably ADV fis-4790 245 2 , , PUNCT fis-4790 245 3   PROPN fis-4790 245 4 e e PROPN fis-4790 245 5 f f PROPN fis-4790 245 6 x x PROPN fis-4790 246 1   PROPN fis-4790 246 2   PROPN fis-4790 246 3 remains remain VERB fis-4790 246 4 constant constant ADJ fis-4790 246 5 across across ADP fis-4790 246 6 all all DET fis-4790 246 7 samples sample NOUN fis-4790 246 8 , , PUNCT fis-4790 246 9 equivalent equivalent ADJ fis-4790 246 10 to to PART fis-4790 246 11   VERB fis-4790 246 12 0 0 NUM fis-4790 246 13     SPACE fis-4790 246 14 y y PROPN fis-4790 246 15 in in ADP fis-4790 246 16 eqn eqn PROPN fis-4790 246 17 . . PUNCT fis-4790 247 1 ( ( PUNCT fis-4790 247 2 3 3 NUM fis-4790 247 3 ) ) PUNCT fis-4790 247 4 . . PUNCT fis-4790 248 1 the the DET fis-4790 248 2 collected collect VERB fis-4790 248 3 shap shap NOUN fis-4790 248 4 values value NOUN fis-4790 248 5 for for ADP fis-4790 248 6 each each DET fis-4790 248 7 specified specify VERB fis-4790 248 8 sample sample NOUN fis-4790 248 9 are be AUX fis-4790 248 10 m. m. PROPN fis-4790 248 11 matin matin PROPN fis-4790 248 12 et et PROPN fis-4790 248 13 alii alii PROPN fis-4790 248 14 , , PUNCT fis-4790 248 15 frattura frattura PROPN fis-4790 248 16 ed ed PROPN fis-4790 248 17 integrità integrità PROPN fis-4790 248 18 strutturale strutturale PROPN fis-4790 248 19 , , PUNCT fis-4790 248 20 68 68 NUM fis-4790 248 21 ( ( PUNCT fis-4790 248 22 2024 2024 NUM fis-4790 248 23 ) ) PUNCT fis-4790 248 24 357 357 NUM fis-4790 248 25 - - SYM fis-4790 248 26 370 370 NUM fis-4790 248 27 ; ; PUNCT fis-4790 248 28 doi doi NOUN fis-4790 248 29 : : PUNCT fis-4790 248 30 10.3221 10.3221 NUM fis-4790 248 31 / / SYM fis-4790 248 32 igf igf PROPN fis-4790 248 33 - - PROPN fis-4790 248 34 esis.68.24 esis.68.24 PROPN fis-4790 248 35 368 368 NUM fis-4790 248 36 represented represent VERB fis-4790 248 37 by by ADP fis-4790 248 38 1 1 NUM fis-4790 248 39 n n NOUN fis-4790 248 40 i i PRON fis-4790 248 41 i i PROPN fis-4790 248 42   VERB fis-4790 248 43 . . PUNCT fis-4790 249 1 therefore therefore ADV fis-4790 249 2 , , PUNCT fis-4790 249 3 in in ADP fis-4790 249 4 each each DET fis-4790 249 5 specified specify VERB fis-4790 249 6 sample sample NOUN fis-4790 249 7 , , PUNCT fis-4790 249 8 the the DET fis-4790 249 9 collected collect VERB fis-4790 249 10 shap shap NOUN fis-4790 249 11 values value NOUN fis-4790 249 12 can can AUX fis-4790 249 13 be be AUX fis-4790 249 14 summed sum VERB fis-4790 249 15 to to ADP fis-4790 249 16 4.128 4.128 NUM fis-4790 249 17 to to PART fis-4790 249 18 obtain obtain VERB fis-4790 249 19 an an DET fis-4790 249 20 estimated estimate VERB fis-4790 249 21 fatigue fatigue NOUN fis-4790 249 22 lifetime lifetime NOUN fis-4790 249 23 based base VERB fis-4790 249 24 on on ADP fis-4790 249 25 the the DET fis-4790 249 26 assumed assume VERB fis-4790 249 27 inputs input NOUN fis-4790 249 28 . . PUNCT fis-4790 250 1 in in ADP fis-4790 250 2 future future ADJ fis-4790 250 3 research research NOUN fis-4790 250 4 , , PUNCT fis-4790 250 5 it it PRON fis-4790 250 6 would would AUX fis-4790 250 7 be be AUX fis-4790 250 8 beneficial beneficial ADJ fis-4790 250 9 to to PART fis-4790 250 10 explore explore VERB fis-4790 250 11 physics physics NOUN fis-4790 250 12 - - PUNCT fis-4790 250 13 based base VERB fis-4790 250 14 models model NOUN fis-4790 250 15 and and CCONJ fis-4790 250 16 examine examine VERB fis-4790 250 17 the the DET fis-4790 250 18 influence influence NOUN fis-4790 250 19 of of ADP fis-4790 250 20 physical physical ADJ fis-4790 250 21 characteristics characteristic NOUN fis-4790 250 22 derived derive VERB fis-4790 250 23 from from ADP fis-4790 250 24 feature feature NOUN fis-4790 250 25 engineering engineering NOUN fis-4790 250 26 methods method NOUN fis-4790 250 27 on on ADP fis-4790 250 28 fatigue fatigue NOUN fis-4790 250 29 lifetimes lifetime NOUN fis-4790 250 30 . . PUNCT fis-4790 251 1 ( ( PUNCT fis-4790 251 2 a a X fis-4790 251 3 ) ) PUNCT fis-4790 251 4 ( ( PUNCT fis-4790 251 5 b b X fis-4790 251 6 ) ) PUNCT fis-4790 251 7 figure figure NOUN fis-4790 251 8 9 9 NUM fis-4790 251 9 : : PUNCT fis-4790 251 10 waterfall waterfall NOUN fis-4790 251 11 plots plot NOUN fis-4790 251 12 for for ADP fis-4790 251 13 the the DET fis-4790 251 14 xgboost xgboost ADV fis-4790 251 15 estimating estimating NOUN fis-4790 251 16 of of ADP fis-4790 251 17 logarithm logarithm NOUN fis-4790 251 18 value value NOUN fis-4790 251 19 of of ADP fis-4790 251 20 fatigue fatigue NOUN fis-4790 251 21 lifetime lifetime NOUN fis-4790 251 22 for for ADP fis-4790 251 23 two two NUM fis-4790 251 24 different different ADJ fis-4790 251 25 samples sample NOUN fis-4790 251 26 using use VERB fis-4790 251 27 game game NOUN fis-4790 251 28 theory theory NOUN fis-4790 251 29 and and CCONJ fis-4790 251 30 shap shap PROPN fis-4790 251 31 values value NOUN fis-4790 251 32 : : PUNCT fis-4790 251 33 ( ( PUNCT fis-4790 251 34 a a X fis-4790 251 35 ) ) PUNCT fis-4790 251 36 sample sample NOUN fis-4790 251 37 number number NOUN fis-4790 251 38 of of ADP fis-4790 251 39 20 20 NUM fis-4790 251 40 from from ADP fis-4790 251 41 the the DET fis-4790 251 42 experimental experimental ADJ fis-4790 251 43 dataset dataset NOUN fis-4790 251 44 , , PUNCT fis-4790 251 45 ( ( PUNCT fis-4790 251 46 b b NOUN fis-4790 251 47 ) ) PUNCT fis-4790 251 48 sample sample NOUN fis-4790 251 49 number number NOUN fis-4790 251 50 of of ADP fis-4790 251 51 65 65 NUM fis-4790 251 52 from from ADP fis-4790 251 53 the the DET fis-4790 251 54 experimental experimental ADJ fis-4790 251 55 dataset dataset NOUN fis-4790 251 56 . . PUNCT fis-4790 252 1 conclusions conclusion NOUN fis-4790 252 2 his his PRON fis-4790 252 3 study study NOUN fis-4790 252 4 focused focus VERB fis-4790 252 5 on on ADP fis-4790 252 6 utilizing utilize VERB fis-4790 252 7 multiple multiple ADJ fis-4790 252 8 ml ml NOUN fis-4790 252 9 models model NOUN fis-4790 252 10 to to PART fis-4790 252 11 predict predict VERB fis-4790 252 12 the the DET fis-4790 252 13 fatigue fatigue NOUN fis-4790 252 14 lifetime lifetime NOUN fis-4790 252 15 of of ADP fis-4790 252 16 various various ADJ fis-4790 252 17 specimens specimen NOUN fis-4790 252 18 made make VERB fis-4790 252 19 from from ADP fis-4790 252 20 an an DET fis-4790 252 21 aluminum aluminum NOUN fis-4790 252 22 - - PUNCT fis-4790 252 23 silicon silicon NOUN fis-4790 252 24 alloy alloy NOUN fis-4790 252 25 , , PUNCT fis-4790 252 26 commonly commonly ADV fis-4790 252 27 used use VERB fis-4790 252 28 in in ADP fis-4790 252 29 engine engine NOUN fis-4790 252 30 pistons piston NOUN fis-4790 252 31 . . PUNCT fis-4790 253 1 additionally additionally ADV fis-4790 253 2 , , PUNCT fis-4790 253 3 the the DET fis-4790 253 4 prediction prediction NOUN fis-4790 253 5 considered consider VERB fis-4790 253 6 the the DET fis-4790 253 7 impacts impact NOUN fis-4790 253 8 of of ADP fis-4790 253 9 various various ADJ fis-4790 253 10 inputs input NOUN fis-4790 253 11 on on ADP fis-4790 253 12 the the DET fis-4790 253 13 fatigue fatigue NOUN fis-4790 253 14 lifetime lifetime NOUN fis-4790 253 15 . . PUNCT fis-4790 254 1 the the DET fis-4790 254 2 modeling modeling NOUN fis-4790 254 3 process process NOUN fis-4790 254 4 produced produce VERB fis-4790 254 5 the the DET fis-4790 254 6 subsequent subsequent ADJ fis-4790 254 7 results result NOUN fis-4790 254 8 , , PUNCT fis-4790 254 9 as as SCONJ fis-4790 254 10 follows follow VERB fis-4790 254 11 , , PUNCT fis-4790 254 12   PRON fis-4790 254 13 the the DET fis-4790 254 14 top top ADV fis-4790 254 15 - - PUNCT fis-4790 254 16 performing perform VERB fis-4790 254 17 model model NOUN fis-4790 254 18 for for ADP fis-4790 254 19 predicting predict VERB fis-4790 254 20 fatigue fatigue NOUN fis-4790 254 21 lifetimes lifetime NOUN fis-4790 254 22 and and CCONJ fis-4790 254 23 their their PRON fis-4790 254 24 logarithmic logarithmic ADJ fis-4790 254 25 values value NOUN fis-4790 254 26 was be AUX fis-4790 254 27 xgboost xgboost ADJ fis-4790 254 28 . . PUNCT fis-4790 255 1 the the DET fis-4790 255 2 evaluation evaluation NOUN fis-4790 255 3 of of ADP fis-4790 255 4 algorithms algorithm NOUN fis-4790 255 5 was be AUX fis-4790 255 6 compared compare VERB fis-4790 255 7 in in ADP fis-4790 255 8 training training NOUN fis-4790 255 9 and and CCONJ fis-4790 255 10 testing testing NOUN fis-4790 255 11 sets set NOUN fis-4790 255 12 with with ADP fis-4790 255 13 two two NUM fis-4790 255 14 metrics metric NOUN fis-4790 255 15 , , PUNCT fis-4790 255 16 determination determination NOUN fis-4790 255 17 coefficient coefficient NOUN fis-4790 255 18 ( ( PUNCT fis-4790 255 19 r2 r2 PROPN fis-4790 255 20 ) ) PUNCT fis-4790 255 21 , , PUNCT fis-4790 255 22 and and CCONJ fis-4790 255 23 root root NOUN fis-4790 255 24 mean mean VERB fis-4790 255 25 square square ADJ fis-4790 255 26 error error NOUN fis-4790 255 27 ( ( PUNCT fis-4790 255 28 rmse rmse NOUN fis-4790 255 29 ) ) PUNCT fis-4790 255 30 . . PUNCT fis-4790 256 1 the the DET fis-4790 256 2 mean mean ADJ fis-4790 256 3 metrics metric NOUN fis-4790 256 4 for for ADP fis-4790 256 5 predicting predict VERB fis-4790 256 6 the the DET fis-4790 256 7 logarithmic logarithmic ADJ fis-4790 256 8 value value NOUN fis-4790 256 9 of of ADP fis-4790 256 10 fatigue fatigue NOUN fis-4790 256 11 lifetime lifetime NOUN fis-4790 256 12 with with ADP fis-4790 256 13 testing testing NOUN fis-4790 256 14 sets set NOUN fis-4790 256 15 were be AUX fis-4790 256 16 notably notably ADV fis-4790 256 17 strong strong ADJ fis-4790 256 18 for for ADP fis-4790 256 19 xgboost xgboost PROPN fis-4790 256 20 , , PUNCT fis-4790 256 21 with with ADP fis-4790 256 22 a a DET fis-4790 256 23 mean mean ADJ fis-4790 256 24 rmse rmse NOUN fis-4790 256 25 of of ADP fis-4790 256 26 0.31 0.31 NUM fis-4790 256 27 and and CCONJ fis-4790 256 28 a a DET fis-4790 256 29 mean mean ADJ fis-4790 256 30 r2 r2 NOUN fis-4790 256 31 of of ADP fis-4790 256 32 84.5 84.5 NUM fis-4790 256 33 % % NOUN fis-4790 256 34 among among ADP fis-4790 256 35 20 20 NUM fis-4790 256 36 different different ADJ fis-4790 256 37 testing testing NOUN fis-4790 256 38 sets set NOUN fis-4790 256 39 . . PUNCT fis-4790 257 1 however however ADV fis-4790 257 2 , , PUNCT fis-4790 257 3 the the DET fis-4790 257 4 xgboost xgboost PROPN fis-4790 257 5 model model NOUN fis-4790 257 6 was be AUX fis-4790 257 7 not not PART fis-4790 257 8 accurate accurate ADJ fis-4790 257 9 in in ADP fis-4790 257 10 predicting predict VERB fis-4790 257 11 fatigue fatigue NOUN fis-4790 257 12 lifetime lifetime NOUN fis-4790 257 13 values value NOUN fis-4790 257 14 with with ADP fis-4790 257 15 the the DET fis-4790 257 16 same same ADJ fis-4790 257 17 testing testing NOUN fis-4790 257 18 sets set NOUN fis-4790 257 19 , , PUNCT fis-4790 257 20 as as SCONJ fis-4790 257 21 evidenced evidence VERB fis-4790 257 22 by by ADP fis-4790 257 23 a a DET fis-4790 257 24 mean mean ADJ fis-4790 257 25 rmse rmse NOUN fis-4790 257 26 of of ADP fis-4790 257 27 156,422.97 156,422.97 NUM fis-4790 257 28 and and CCONJ fis-4790 257 29 a a DET fis-4790 257 30 mean mean ADJ fis-4790 257 31 r2 r2 NOUN fis-4790 257 32 of of ADP fis-4790 257 33 39 39 NUM fis-4790 257 34 % % NOUN fis-4790 257 35 . . PUNCT fis-4790 258 1   X fis-4790 259 1 from from ADP fis-4790 259 2 the the DET fis-4790 259 3 scatter scatter NOUN fis-4790 259 4 band band NOUN fis-4790 259 5 , , PUNCT fis-4790 259 6 as as ADP fis-4790 259 7 another another DET fis-4790 259 8 modeling modeling NOUN fis-4790 259 9 evaluation evaluation NOUN fis-4790 259 10 , , PUNCT fis-4790 259 11 it it PRON fis-4790 259 12 illustrates illustrate VERB fis-4790 259 13 , , PUNCT fis-4790 259 14 based base VERB fis-4790 259 15 on on ADP fis-4790 259 16 assumed assume VERB fis-4790 259 17 hyperparameters hyperparameter NOUN fis-4790 259 18 , , PUNCT fis-4790 259 19 that that SCONJ fis-4790 259 20 the the DET fis-4790 259 21 scatter scatter NOUN fis-4790 259 22 band band NOUN fis-4790 259 23 value value NOUN fis-4790 259 24 for for ADP fis-4790 259 25 the the DET fis-4790 259 26 fatigue fatigue NOUN fis-4790 259 27 lifetime lifetime NOUN fis-4790 259 28 prediction prediction NOUN fis-4790 259 29 with with ADP fis-4790 259 30 xgboost xgboost PROPN fis-4790 259 31 was be AUX fis-4790 259 32 ±8 ±8 NOUN fis-4790 259 33 ( ( PUNCT fis-4790 259 34 covering cover VERB fis-4790 259 35 95 95 NUM fis-4790 259 36 % % NOUN fis-4790 259 37 of of ADP fis-4790 259 38 the the DET fis-4790 259 39 data datum NOUN fis-4790 259 40 ) ) PUNCT fis-4790 259 41 and and CCONJ fis-4790 259 42 ±1.25 ±1.25 PROPN fis-4790 259 43 ( ( PUNCT fis-4790 259 44 for for ADP fis-4790 259 45 all all DET fis-4790 259 46 data datum NOUN fis-4790 259 47 ) ) PUNCT fis-4790 259 48 for for ADP fis-4790 259 49 the the DET fis-4790 259 50 logarithm logarithm NOUN fis-4790 259 51 of of ADP fis-4790 259 52 fatigue fatigue NOUN fis-4790 259 53 lifetimes lifetime NOUN fis-4790 259 54 with with ADP fis-4790 259 55 xgboost xgboost PROPN fis-4790 259 56 . . PUNCT fis-4790 260 1 this this PRON fis-4790 260 2 indicates indicate VERB fis-4790 260 3 the the DET fis-4790 260 4 accuracy accuracy NOUN fis-4790 260 5 of of ADP fis-4790 260 6 the the DET fis-4790 260 7 logarithmic logarithmic ADJ fis-4790 260 8 value value NOUN fis-4790 260 9 of of ADP fis-4790 260 10 fatigue fatigue NOUN fis-4790 260 11 lifetimes lifetime NOUN fis-4790 260 12 . . PUNCT fis-4790 261 1 it it PRON fis-4790 261 2 is be AUX fis-4790 261 3 concluded conclude VERB fis-4790 261 4 that that SCONJ fis-4790 261 5 it it PRON fis-4790 261 6 is be AUX fis-4790 261 7 better well ADJ fis-4790 261 8 to to PART fis-4790 261 9 take take VERB fis-4790 261 10 the the DET fis-4790 261 11 logarithm logarithm NOUN fis-4790 261 12 of of ADP fis-4790 261 13 the the DET fis-4790 261 14 fatigue fatigue NOUN fis-4790 261 15 lifetime lifetime NOUN fis-4790 261 16 and and CCONJ fis-4790 261 17 then then ADV fis-4790 261 18 train train VERB fis-4790 261 19 it it PRON fis-4790 261 20 in in ADP fis-4790 261 21 machine machine NOUN fis-4790 261 22 learning learning NOUN fis-4790 261 23 ( ( PUNCT fis-4790 261 24 ml ml NOUN fis-4790 261 25 ) ) PUNCT fis-4790 261 26 models model NOUN fis-4790 261 27 . . PUNCT fis-4790 262 1   PUNCT fis-4790 263 1 the the DET fis-4790 263 2 estimated estimate VERB fis-4790 263 3 baseline baseline NOUN fis-4790 263 4 value value NOUN fis-4790 263 5 of of ADP fis-4790 263 6 the the DET fis-4790 263 7 logarithm logarithm NOUN fis-4790 263 8 of of ADP fis-4790 263 9 fatigue fatigue NOUN fis-4790 263 10 lifetimes lifetime NOUN fis-4790 263 11 based base VERB fis-4790 263 12 on on ADP fis-4790 263 13 the the DET fis-4790 263 14 game game NOUN fis-4790 263 15 theory theory NOUN fis-4790 263 16 is be AUX fis-4790 263 17 reported report VERB fis-4790 263 18 with with ADP fis-4790 263 19 a a DET fis-4790 263 20 value value NOUN fis-4790 263 21 of of ADP fis-4790 263 22 4.128 4.128 NUM fis-4790 263 23 . . PUNCT fis-4790 264 1 to to PART fis-4790 264 2 predict predict VERB fis-4790 264 3 a a DET fis-4790 264 4 logarithmic logarithmic ADJ fis-4790 264 5 value value NOUN fis-4790 264 6 of of ADP fis-4790 264 7 fatigue fatigue NOUN fis-4790 264 8 lifetimes lifetime NOUN fis-4790 264 9 with with ADP fis-4790 264 10 an an DET fis-4790 264 11 assumed assumed ADJ fis-4790 264 12 input input NOUN fis-4790 264 13 , , PUNCT fis-4790 264 14 the the DET fis-4790 264 15 reader reader NOUN fis-4790 264 16 can can AUX fis-4790 264 17 derive derive VERB fis-4790 264 18 approximate approximate ADJ fis-4790 264 19 shap shap PROPN fis-4790 264 20 values value NOUN fis-4790 264 21 for for ADP fis-4790 264 22 each each DET fis-4790 264 23 feature feature NOUN fis-4790 264 24 one one NUM fis-4790 264 25 by by ADP fis-4790 264 26 one one NUM fis-4790 264 27 and and CCONJ fis-4790 264 28 sum sum VERB fis-4790 264 29 them they PRON fis-4790 264 30 with with ADP fis-4790 264 31 4.128 4.128 NUM fis-4790 264 32 . . PUNCT fis-4790 265 1   X fis-4790 265 2 in in ADP fis-4790 265 3 the the DET fis-4790 265 4 regression regression NOUN fis-4790 265 5 analysis analysis NOUN fis-4790 265 6 , , PUNCT fis-4790 265 7 the the DET fis-4790 265 8 stress stress NOUN fis-4790 265 9 and and CCONJ fis-4790 265 10 fretting fret VERB fis-4790 265 11 force force NOUN fis-4790 265 12 , , PUNCT fis-4790 265 13 among among ADP fis-4790 265 14 others other NOUN fis-4790 265 15 , , PUNCT fis-4790 265 16 were be AUX fis-4790 265 17 significant significant ADJ fis-4790 265 18 variables variable NOUN fis-4790 265 19 . . PUNCT fis-4790 266 1 however however ADV fis-4790 266 2 , , PUNCT fis-4790 266 3 the the DET fis-4790 266 4 shap shap NOUN fis-4790 266 5 analysis analysis NOUN fis-4790 266 6 demonstrated demonstrate VERB fis-4790 266 7 that that SCONJ fis-4790 266 8 fretting fret VERB fis-4790 266 9 force force NOUN fis-4790 266 10 was be AUX fis-4790 266 11 the the DET fis-4790 266 12 most most ADV fis-4790 266 13 essential essential ADJ fis-4790 266 14 variable variable NOUN fis-4790 266 15 . . PUNCT fis-4790 267 1   PUNCT fis-4790 267 2 according accord VERB fis-4790 267 3 to to ADP fis-4790 267 4 the the DET fis-4790 267 5 shap shap PROPN fis-4790 267 6 values value NOUN fis-4790 267 7 , , PUNCT fis-4790 267 8 the the DET fis-4790 267 9 fretting fret VERB fis-4790 267 10 force force NOUN fis-4790 267 11 had have VERB fis-4790 267 12 the the DET fis-4790 267 13 most most ADV fis-4790 267 14 significant significant ADJ fis-4790 267 15 impact impact NOUN fis-4790 267 16 , , PUNCT fis-4790 267 17 while while SCONJ fis-4790 267 18 lubrication lubrication NOUN fis-4790 267 19 had have VERB fis-4790 267 20 the the DET fis-4790 267 21 slightest slight ADJ fis-4790 267 22 significant significant ADJ fis-4790 267 23 influence influence NOUN fis-4790 267 24 on on ADP fis-4790 267 25 the the DET fis-4790 267 26 fatigue fatigue NOUN fis-4790 267 27 lifetime lifetime NOUN fis-4790 267 28 and and CCONJ fis-4790 267 29 its its PRON fis-4790 267 30 logarithms logarithm NOUN fis-4790 267 31 . . PUNCT fis-4790 268 1 data datum NOUN fis-4790 268 2 availability availability NOUN fis-4790 268 3 he he PRON fis-4790 268 4 raw raw ADJ fis-4790 268 5 experimental experimental ADJ fis-4790 268 6 data datum NOUN fis-4790 268 7 are be AUX fis-4790 268 8 available available ADJ fis-4790 268 9 at at ADP fis-4790 268 10 m. m. NOUN fis-4790 268 11 azadi azadi PROPN fis-4790 268 12 and and CCONJ fis-4790 268 13 m.s.a m.s.a ADJ fis-4790 268 14 . . PROPN fis-4790 269 1 parast parast NOUN fis-4790 269 2 , , PUNCT fis-4790 269 3 “ " PUNCT fis-4790 269 4 hcf hcf PROPN fis-4790 269 5 testing test VERB fis-4790 269 6 raw raw ADJ fis-4790 269 7 data datum NOUN fis-4790 269 8 on on ADP fis-4790 269 9 piston piston NOUN fis-4790 269 10 aluminum aluminum NOUN fis-4790 269 11 alloys alloy NOUN fis-4790 269 12 ” " PUNCT fis-4790 269 13 , , PUNCT fis-4790 269 14 mendeley mendeley PROPN fis-4790 269 15 data data PROPN fis-4790 269 16 , , PUNCT fis-4790 269 17 v2 v2 PROPN fis-4790 269 18 , , PUNCT fis-4790 269 19 2021 2021 NUM fis-4790 269 20 , , PUNCT fis-4790 269 21 doi doi NOUN fis-4790 269 22 : : PUNCT fis-4790 269 23 10.17632 10.17632 NUM fis-4790 269 24 / / SYM fis-4790 269 25 cghj3vw67j.2 cghj3vw67j.2 PRON fis-4790 269 26 ( ( PUNCT fis-4790 269 27 https://data.mendeley.com/datasets/cghj3vw67j/2 https://data.mendeley.com/datasets/cghj3vw67j/2 PROPN fis-4790 269 28 ) ) PUNCT fis-4790 269 29 . . PUNCT fis-4790 270 1 t t PROPN fis-4790 270 2 t t PROPN fis-4790 270 3 m. m. NOUN fis-4790 270 4 matin matin PROPN fis-4790 270 5 et et PROPN fis-4790 270 6 alii alii PROPN fis-4790 270 7 , , PUNCT fis-4790 270 8 frattura frattura PROPN fis-4790 270 9 ed ed PROPN fis-4790 270 10 integrità integrità PROPN fis-4790 270 11 strutturale strutturale PROPN fis-4790 270 12 , , PUNCT fis-4790 270 13 68 68 NUM fis-4790 270 14 ( ( PUNCT fis-4790 270 15 2024 2024 NUM fis-4790 270 16 ) ) PUNCT fis-4790 270 17 357 357 NUM fis-4790 270 18 - - SYM fis-4790 270 19 370 370 NUM fis-4790 270 20 ; ; PUNCT fis-4790 270 21 doi doi NOUN fis-4790 270 22 : : PUNCT fis-4790 270 23 10.3221 10.3221 NUM fis-4790 270 24 / / SYM fis-4790 270 25 igf igf PROPN fis-4790 270 26 - - PROPN fis-4790 270 27 esis.68.24 esis.68.24 PROPN fis-4790 270 28 369 369 NUM fis-4790 270 29 references reference NOUN fis-4790 270 30 [ [ X fis-4790 270 31 1 1 NUM fis-4790 270 32 ] ] X fis-4790 270 33 yao yao NOUN fis-4790 270 34 , , PUNCT fis-4790 270 35 z. z. PROPN fis-4790 270 36 and and CCONJ fis-4790 270 37 li li PROPN fis-4790 270 38 , , PUNCT fis-4790 270 39 w. w. PROPN fis-4790 270 40 ( ( PUNCT fis-4790 270 41 2020 2020 NUM fis-4790 270 42 ) ) PUNCT fis-4790 270 43 . . PUNCT fis-4790 271 1 microstructure microstructure NOUN fis-4790 271 2 and and CCONJ fis-4790 271 3 thermal thermal ADJ fis-4790 271 4 analysis analysis NOUN fis-4790 271 5 of of ADP fis-4790 271 6 aps ap NOUN fis-4790 271 7 nano nano NOUN fis-4790 271 8 pysz pysz NOUN fis-4790 271 9 coated coat VERB fis-4790 271 10 aluminum aluminum NOUN fis-4790 271 11 alloy alloy NOUN fis-4790 271 12 piston piston NOUN fis-4790 271 13 . . PUNCT fis-4790 272 1 journal journal NOUN fis-4790 272 2 of of ADP fis-4790 272 3 alloys alloy NOUN fis-4790 272 4 and and CCONJ fis-4790 272 5 compounds compound NOUN fis-4790 272 6 , , PUNCT fis-4790 272 7 812 812 NUM fis-4790 272 8 , , PUNCT fis-4790 272 9 152162 152162 NUM fis-4790 272 10 . . PUNCT fis-4790 273 1 doi doi NOUN fis-4790 273 2 : : PUNCT fis-4790 273 3 10.1016 10.1016 NUM fis-4790 273 4 / / SYM fis-4790 273 5 j.jallcom.2019.152162 j.jallcom.2019.152162 NOUN fis-4790 273 6 . . PUNCT fis-4790 274 1 [ [ X fis-4790 274 2 2 2 NUM fis-4790 274 3 ] ] X fis-4790 274 4 skryabin skryabin X fis-4790 274 5 , , PUNCT fis-4790 274 6 m.l m.l PROPN fis-4790 274 7 . . PROPN fis-4790 274 8 and and CCONJ fis-4790 274 9 grebnev grebnev PROPN fis-4790 274 10 , , PUNCT fis-4790 274 11 a. a. NOUN fis-4790 274 12 ( ( PUNCT fis-4790 274 13 2020 2020 NUM fis-4790 274 14 ) ) PUNCT fis-4790 274 15 . . PUNCT fis-4790 275 1 promising promise VERB fis-4790 275 2 methods method NOUN fis-4790 275 3 for for ADP fis-4790 275 4 strengthening strengthen VERB fis-4790 275 5 piston piston NOUN fis-4790 275 6 aluminum aluminum NOUN fis-4790 275 7 alloys alloy NOUN fis-4790 275 8 of of ADP fis-4790 275 9 heat heat NOUN fis-4790 275 10 engines engine NOUN fis-4790 275 11 . . PUNCT fis-4790 276 1 journal journal PROPN fis-4790 276 2 of of ADP fis-4790 276 3 physics physics PROPN fis-4790 276 4 : : PUNCT fis-4790 276 5 conference conference NOUN fis-4790 276 6 series series NOUN fis-4790 276 7 , , PUNCT fis-4790 276 8 2020 2020 NUM fis-4790 276 9 . . PUNCT fis-4790 277 1 iop iop PROPN fis-4790 277 2 publishing publishing NOUN fis-4790 277 3 , , PUNCT fis-4790 277 4 052052 052052 NUM fis-4790 277 5 . . PUNCT fis-4790 278 1 doi doi NOUN fis-4790 278 2 : : PUNCT fis-4790 278 3 10.1088/1742 10.1088/1742 NUM fis-4790 278 4 - - SYM fis-4790 278 5 6596/1515/5/052052 6596/1515/5/052052 NUM fis-4790 278 6 . . PUNCT fis-4790 279 1 [ [ X fis-4790 279 2 3 3 NUM fis-4790 279 3 ] ] PUNCT fis-4790 279 4 alshalal alshalal PROPN fis-4790 279 5 , , PUNCT fis-4790 279 6 i. i. PROPN fis-4790 279 7 al al PROPN fis-4790 279 8 - - PUNCT fis-4790 279 9 zuhairi zuhairi PROPN fis-4790 279 10 , , PUNCT fis-4790 279 11 h. h. PROPN fis-4790 279 12 m. m. PROPN fis-4790 279 13 i. i. PROPN fis-4790 279 14 abtan abtan PROPN fis-4790 279 15 , , PUNCT fis-4790 279 16 a. a. PROPN fis-4790 279 17 a. a. NOUN fis-4790 279 18 rasheed rasheed NOUN fis-4790 279 19 , , PUNCT fis-4790 279 20 m. m. NOUN fis-4790 279 21 and and CCONJ fis-4790 279 22 asmail asmail NOUN fis-4790 279 23 , , PUNCT fis-4790 279 24 m. m. NOUN fis-4790 279 25 k. k. PROPN fis-4790 279 26 ( ( PUNCT fis-4790 279 27 2023 2023 NUM fis-4790 279 28 ) ) PUNCT fis-4790 279 29 . . PUNCT fis-4790 280 1 characterization characterization NOUN fis-4790 280 2 of of ADP fis-4790 280 3 wear wear NOUN fis-4790 280 4 and and CCONJ fis-4790 280 5 fatigue fatigue NOUN fis-4790 280 6 behavior behavior NOUN fis-4790 280 7 of of ADP fis-4790 280 8 aluminum aluminum NOUN fis-4790 280 9 piston piston NOUN fis-4790 280 10 alloy alloy NOUN fis-4790 280 11 using use VERB fis-4790 280 12 alumina alumina NOUN fis-4790 280 13 nanoparticles nanoparticle NOUN fis-4790 280 14 . . PUNCT fis-4790 281 1 journal journal NOUN fis-4790 281 2 of of ADP fis-4790 281 3 the the DET fis-4790 281 4 mechanical mechanical ADJ fis-4790 281 5 behavior behavior NOUN fis-4790 281 6 of of ADP fis-4790 281 7 materials material NOUN fis-4790 281 8 , , PUNCT fis-4790 281 9 32 32 NUM fis-4790 281 10 ( ( PUNCT fis-4790 281 11 1 1 NUM fis-4790 281 12 ) ) PUNCT fis-4790 281 13 , , PUNCT fis-4790 281 14 20220280 20220280 NUM fis-4790 281 15 . . PUNCT fis-4790 282 1 doi doi NOUN fis-4790 282 2 : : PUNCT fis-4790 282 3 10.1515 10.1515 NUM fis-4790 282 4 / / SYM fis-4790 282 5 jmbm-2022 jmbm-2022 NOUN fis-4790 282 6 - - PUNCT fis-4790 282 7 0280 0280 NUM fis-4790 282 8 . . PUNCT fis-4790 283 1 [ [ X fis-4790 283 2 4 4 NUM fis-4790 283 3 ] ] X fis-4790 283 4 sun sun PROPN fis-4790 283 5 , , PUNCT fis-4790 283 6 g.q g.q PROPN fis-4790 283 7 . . PROPN fis-4790 283 8 and and CCONJ fis-4790 283 9 shang shang PROPN fis-4790 283 10 , , PUNCT fis-4790 283 11 d.g d.g PROPN fis-4790 283 12 . . PROPN fis-4790 283 13 ( ( PUNCT fis-4790 283 14 2010 2010 NUM fis-4790 283 15 ) ) PUNCT fis-4790 283 16 . . PUNCT fis-4790 284 1 prediction prediction NOUN fis-4790 284 2 of of ADP fis-4790 284 3 fatigue fatigue NOUN fis-4790 284 4 lifetime lifetime NOUN fis-4790 284 5 under under ADP fis-4790 284 6 multiaxial multiaxial ADJ fis-4790 284 7 cyclic cyclic ADJ fis-4790 284 8 loading loading NOUN fis-4790 284 9 using use VERB fis-4790 284 10 finite finite ADJ fis-4790 284 11 element element NOUN fis-4790 284 12 analysis analysis NOUN fis-4790 284 13 . . PUNCT fis-4790 285 1 materials material NOUN fis-4790 285 2 & & CCONJ fis-4790 285 3 design design PROPN fis-4790 285 4 , , PUNCT fis-4790 285 5 31 31 NUM fis-4790 285 6 , , PUNCT fis-4790 285 7 pp pp ADJ fis-4790 285 8 . . PUNCT fis-4790 286 1 126 126 NUM fis-4790 286 2 - - SYM fis-4790 286 3 133 133 NUM fis-4790 286 4 . . PUNCT fis-4790 287 1 doi doi NOUN fis-4790 287 2 : : PUNCT fis-4790 287 3 10.1016 10.1016 NUM fis-4790 287 4 / / SYM fis-4790 287 5 j.matdes.2009.06.046 j.matdes.2009.06.046 PROPN fis-4790 287 6 . . PUNCT fis-4790 288 1 [ [ X fis-4790 288 2 5 5 NUM fis-4790 288 3 ] ] PUNCT fis-4790 288 4 sivachev sivachev NOUN fis-4790 288 5 , , PUNCT fis-4790 288 6 s. s. PROPN fis-4790 288 7 and and CCONJ fis-4790 288 8 myagkov myagkov PROPN fis-4790 288 9 , , PUNCT fis-4790 288 10 l. l. PROPN fis-4790 288 11 ( ( PUNCT fis-4790 288 12 2020 2020 NUM fis-4790 288 13 ) ) PUNCT fis-4790 288 14 thermomechanical thermomechanical ADJ fis-4790 288 15 fatigue fatigue NOUN fis-4790 288 16 analysis analysis NOUN fis-4790 288 17 of of ADP fis-4790 288 18 diesel diesel NOUN fis-4790 288 19 engine engine NOUN fis-4790 288 20 piston piston NOUN fis-4790 288 21 : : PUNCT fis-4790 288 22 finite finite PROPN fis-4790 288 23 element element NOUN fis-4790 288 24 simulation simulation NOUN fis-4790 288 25 and and CCONJ fis-4790 288 26 lifetime lifetime NOUN fis-4790 288 27 prediction prediction NOUN fis-4790 288 28 technique technique NOUN fis-4790 288 29 . . PUNCT fis-4790 289 1 proceedings proceeding NOUN fis-4790 289 2 of of ADP fis-4790 289 3 the the DET fis-4790 289 4 5th 5th ADJ fis-4790 289 5 international international ADJ fis-4790 289 6 conference conference NOUN fis-4790 289 7 on on ADP fis-4790 289 8 industrial industrial ADJ fis-4790 289 9 engineering engineering NOUN fis-4790 289 10 ( ( PUNCT fis-4790 289 11 icie icie ADV fis-4790 289 12 2019 2019 NUM fis-4790 289 13 ) ) PUNCT fis-4790 290 1 i i PRON fis-4790 290 2 5 5 NUM fis-4790 290 3 , , PUNCT fis-4790 290 4 pp pp ADJ fis-4790 290 5 . . PUNCT fis-4790 291 1 109 109 NUM fis-4790 291 2 - - SYM fis-4790 291 3 117 117 NUM fis-4790 291 4 . . PUNCT fis-4790 292 1 doi doi NOUN fis-4790 292 2 : : PUNCT fis-4790 292 3 10.1007/978 10.1007/978 NUM fis-4790 292 4 - - SYM fis-4790 292 5 3 3 NUM fis-4790 292 6 - - PUNCT fis-4790 292 7 030 030 NUM fis-4790 292 8 - - PUNCT fis-4790 292 9 22041 22041 NUM fis-4790 292 10 - - PUNCT fis-4790 292 11 9_13 9_13 NOUN fis-4790 292 12 . . PUNCT fis-4790 293 1 [ [ X fis-4790 293 2 6 6 NUM fis-4790 293 3 ] ] X fis-4790 293 4 castillo castillo PROPN fis-4790 293 5 , , PUNCT fis-4790 293 6 e. e. PROPN fis-4790 293 7 and and CCONJ fis-4790 293 8 fernandez fernandez PROPN fis-4790 293 9 - - PUNCT fis-4790 293 10 canteli canteli PROPN fis-4790 293 11 , , PUNCT fis-4790 293 12 a. a. NOUN fis-4790 293 13 ( ( PUNCT fis-4790 293 14 2001 2001 NUM fis-4790 293 15 ) ) PUNCT fis-4790 293 16 . . PUNCT fis-4790 294 1 a a DET fis-4790 294 2 general general ADJ fis-4790 294 3 regression regression NOUN fis-4790 294 4 model model NOUN fis-4790 294 5 for for ADP fis-4790 294 6 lifetime lifetime NOUN fis-4790 294 7 evaluation evaluation NOUN fis-4790 294 8 and and CCONJ fis-4790 294 9 prediction prediction NOUN fis-4790 294 10 . . PUNCT fis-4790 295 1 international international ADJ fis-4790 295 2 journal journal PROPN fis-4790 295 3 of of ADP fis-4790 295 4 fracture fracture NOUN fis-4790 295 5 , , PUNCT fis-4790 295 6 107 107 NUM fis-4790 295 7 , , PUNCT fis-4790 295 8 pp pp ADJ fis-4790 295 9 . . PUNCT fis-4790 296 1 117 117 NUM fis-4790 296 2 - - SYM fis-4790 296 3 137 137 NUM fis-4790 296 4 . . PUNCT fis-4790 297 1 doi doi NOUN fis-4790 297 2 : : PUNCT fis-4790 297 3 10.1023 10.1023 NUM fis-4790 297 4 / / SYM fis-4790 297 5 a:1007624803955 a:1007624803955 NOUN fis-4790 297 6 [ [ X fis-4790 297 7 7 7 NUM fis-4790 297 8 ] ] X fis-4790 297 9 pierce pierce PROPN fis-4790 297 10 , , PUNCT fis-4790 297 11 s.g s.g PROPN fis-4790 297 12 . . PROPN fis-4790 297 13 worden worden PROPN fis-4790 297 14 , , PUNCT fis-4790 297 15 k. k. PROPN fis-4790 297 16 and and CCONJ fis-4790 297 17 bezazi bezazi PROPN fis-4790 297 18 , , PUNCT fis-4790 297 19 a. a. NOUN fis-4790 297 20 ( ( PUNCT fis-4790 297 21 2008 2008 NUM fis-4790 297 22 ) ) PUNCT fis-4790 297 23 . . PUNCT fis-4790 298 1 uncertainty uncertainty NOUN fis-4790 298 2 analysis analysis NOUN fis-4790 298 3 of of ADP fis-4790 298 4 a a DET fis-4790 298 5 neural neural ADJ fis-4790 298 6 network network NOUN fis-4790 298 7 used use VERB fis-4790 298 8 for for ADP fis-4790 298 9 fatigue fatigue NOUN fis-4790 298 10 lifetime lifetime NOUN fis-4790 298 11 prediction prediction NOUN fis-4790 298 12 . . PUNCT fis-4790 299 1 mechanical mechanical ADJ fis-4790 299 2 systems system NOUN fis-4790 299 3 and and CCONJ fis-4790 299 4 signal signal PROPN fis-4790 299 5 processing processing NOUN fis-4790 299 6 , , PUNCT fis-4790 299 7 22 22 NUM fis-4790 299 8 ( ( PUNCT fis-4790 299 9 6 6 NUM fis-4790 299 10 ) ) PUNCT fis-4790 299 11 , , PUNCT fis-4790 299 12 pp pp ADP fis-4790 299 13 . . PUNCT fis-4790 300 1 1395 1395 NUM fis-4790 300 2 - - SYM fis-4790 300 3 1411 1411 NUM fis-4790 300 4 . . PUNCT fis-4790 301 1 doi doi NOUN fis-4790 301 2 : : PUNCT fis-4790 301 3 10.1016 10.1016 NUM fis-4790 301 4 / / SYM fis-4790 301 5 j.ymssp.2007.12.004 j.ymssp.2007.12.004 PROPN fis-4790 301 6 . . PUNCT fis-4790 302 1 [ [ X fis-4790 302 2 8 8 NUM fis-4790 302 3 ] ] X fis-4790 302 4 avoledo avoledo PROPN fis-4790 302 5 , , PUNCT fis-4790 302 6 e. e. PROPN fis-4790 302 7 tognan tognan PROPN fis-4790 302 8 , , PUNCT fis-4790 302 9 a. a. NOUN fis-4790 302 10 and and CCONJ fis-4790 302 11 salvati salvati PROPN fis-4790 302 12 , , PUNCT fis-4790 302 13 e. e. PROPN fis-4790 302 14 ( ( PUNCT fis-4790 302 15 2023 2023 NUM fis-4790 302 16 ) ) PUNCT fis-4790 302 17 . . PUNCT fis-4790 303 1 quantification quantification NOUN fis-4790 303 2 of of ADP fis-4790 303 3 uncertainty uncertainty NOUN fis-4790 303 4 in in ADP fis-4790 303 5 a a DET fis-4790 303 6 defect defect NOUN fis-4790 303 7 - - PUNCT fis-4790 303 8 based base VERB fis-4790 303 9 physics physics NOUN fis-4790 303 10 - - PUNCT fis-4790 303 11 informed inform VERB fis-4790 303 12 neural neural ADJ fis-4790 303 13 network network NOUN fis-4790 303 14 for for ADP fis-4790 303 15 fatigue fatigue NOUN fis-4790 303 16 evaluation evaluation NOUN fis-4790 303 17 and and CCONJ fis-4790 303 18 insights insight NOUN fis-4790 303 19 on on ADP fis-4790 303 20 influencing influence VERB fis-4790 303 21 factors factor NOUN fis-4790 303 22 . . PUNCT fis-4790 304 1 engineering engineer VERB fis-4790 304 2 fracture fracture NOUN fis-4790 304 3 mechanics mechanic NOUN fis-4790 304 4 , , PUNCT fis-4790 304 5 292 292 NUM fis-4790 304 6 , , PUNCT fis-4790 304 7 109595 109595 NUM fis-4790 304 8 . . PUNCT fis-4790 305 1 doi doi NOUN fis-4790 305 2 : : PUNCT fis-4790 305 3 10.1016 10.1016 NUM fis-4790 305 4 / / SYM fis-4790 305 5 j.engfracmech.2023.109595 j.engfracmech.2023.109595 PROPN fis-4790 306 1 [ [ X fis-4790 306 2 9 9 NUM fis-4790 306 3 ] ] SYM fis-4790 306 4 xiong xiong PROPN fis-4790 306 5 , , PUNCT fis-4790 306 6 j. j. PROPN fis-4790 306 7 shi shi PROPN fis-4790 306 8 , , PUNCT fis-4790 306 9 s.q s.q PROPN fis-4790 306 10 . . PROPN fis-4790 306 11 and and CCONJ fis-4790 306 12 zhang zhang PROPN fis-4790 306 13 , , PUNCT fis-4790 306 14 t.y t.y PROPN fis-4790 306 15 . . PROPN fis-4790 306 16 ( ( PUNCT fis-4790 306 17 2021 2021 NUM fis-4790 306 18 ) ) PUNCT fis-4790 306 19 . . PUNCT fis-4790 307 1 machine machine NOUN fis-4790 307 2 learning learning NOUN fis-4790 307 3 of of ADP fis-4790 307 4 phases phase NOUN fis-4790 307 5 and and CCONJ fis-4790 307 6 mechanical mechanical ADJ fis-4790 307 7 properties property NOUN fis-4790 307 8 in in ADP fis-4790 307 9 complex complex ADJ fis-4790 307 10 concentrated concentrated ADJ fis-4790 307 11 alloys alloy NOUN fis-4790 307 12 . . PUNCT fis-4790 308 1 journal journal NOUN fis-4790 308 2 of of ADP fis-4790 308 3 materials material NOUN fis-4790 308 4 science science NOUN fis-4790 308 5 & & CCONJ fis-4790 308 6 technology technology PROPN fis-4790 308 7 , , PUNCT fis-4790 308 8 87 87 NUM fis-4790 308 9 , , PUNCT fis-4790 308 10 pp pp ADJ fis-4790 308 11 . . PUNCT fis-4790 309 1 133 133 NUM fis-4790 309 2 - - SYM fis-4790 309 3 142 142 NUM fis-4790 309 4 . . PUNCT fis-4790 310 1 doi doi NOUN fis-4790 310 2 : : PUNCT fis-4790 310 3 10.1016 10.1016 NUM fis-4790 310 4 / / SYM fis-4790 310 5 j.jmst.2021.01.054 j.jmst.2021.01.054 PROPN fis-4790 310 6 . . PUNCT fis-4790 311 1 [ [ X fis-4790 311 2 10 10 NUM fis-4790 311 3 ] ] X fis-4790 311 4 durodola durodola PROPN fis-4790 311 5 , , PUNCT fis-4790 311 6 j. j. PROPN fis-4790 311 7 f. f. PROPN fis-4790 311 8 ( ( PUNCT fis-4790 311 9 2022 2022 NUM fis-4790 311 10 ) ) PUNCT fis-4790 311 11 . . PUNCT fis-4790 312 1 machine machine NOUN fis-4790 312 2 learning learn VERB fis-4790 312 3 for for ADP fis-4790 312 4 design design NOUN fis-4790 312 5 , , PUNCT fis-4790 312 6 phase phase NOUN fis-4790 312 7 transformation transformation NOUN fis-4790 312 8 and and CCONJ fis-4790 312 9 mechanical mechanical ADJ fis-4790 312 10 properties property NOUN fis-4790 312 11 of of ADP fis-4790 312 12 alloys alloy NOUN fis-4790 312 13 . . PUNCT fis-4790 313 1 progress progress NOUN fis-4790 313 2 in in ADP fis-4790 313 3 materials material NOUN fis-4790 313 4 science science NOUN fis-4790 313 5 , , PUNCT fis-4790 313 6 123 123 NUM fis-4790 313 7 , , PUNCT fis-4790 313 8 100797 100797 NUM fis-4790 313 9 . . PUNCT fis-4790 314 1 doi doi NOUN fis-4790 314 2 : : PUNCT fis-4790 314 3 10.1016 10.1016 NUM fis-4790 314 4 / / SYM fis-4790 314 5 j.pmatsci.2021.100797 j.pmatsci.2021.100797 NOUN fis-4790 314 6 [ [ X fis-4790 314 7 11 11 NUM fis-4790 314 8 ] ] X fis-4790 314 9 wang wang PROPN fis-4790 314 10 , , PUNCT fis-4790 314 11 d. d. PROPN fis-4790 314 12 thunell thunell PROPN fis-4790 314 13 , , PUNCT fis-4790 314 14 s. s. PROPN fis-4790 314 15 lindberg lindberg PROPN fis-4790 314 16 , , PUNCT fis-4790 314 17 u. u. PROPN fis-4790 314 18 jiang jiang PROPN fis-4790 314 19 , , PUNCT fis-4790 314 20 l. l. PROPN fis-4790 314 21 trygg trygg PROPN fis-4790 314 22 , , PUNCT fis-4790 314 23 j. j. PROPN fis-4790 314 24 and and CCONJ fis-4790 314 25 tysklind tysklind PROPN fis-4790 314 26 , , PUNCT fis-4790 314 27 m. m. NOUN fis-4790 314 28 ( ( PUNCT fis-4790 314 29 2022 2022 NUM fis-4790 314 30 ) ) PUNCT fis-4790 314 31 . . PUNCT fis-4790 315 1 towards towards ADP fis-4790 315 2 better well ADJ fis-4790 315 3 process process NOUN fis-4790 315 4 management management NOUN fis-4790 315 5 in in ADP fis-4790 315 6 wastewater wastewater NOUN fis-4790 315 7 treatment treatment NOUN fis-4790 315 8 plants plant NOUN fis-4790 315 9 : : PUNCT fis-4790 315 10 process process NOUN fis-4790 315 11 analytics analytic NOUN fis-4790 315 12 based base VERB fis-4790 315 13 on on ADP fis-4790 315 14 shap shap PROPN fis-4790 315 15 values value NOUN fis-4790 315 16 for for ADP fis-4790 315 17 tree tree NOUN fis-4790 315 18 - - PUNCT fis-4790 315 19 based base VERB fis-4790 315 20 machine machine NOUN fis-4790 315 21 learning learning NOUN fis-4790 315 22 methods method NOUN fis-4790 315 23 . . PUNCT fis-4790 316 1 journal journal PROPN fis-4790 316 2 of of ADP fis-4790 316 3 environmental environmental ADJ fis-4790 316 4 management management NOUN fis-4790 316 5 , , PUNCT fis-4790 316 6 301 301 NUM fis-4790 316 7 , , PUNCT fis-4790 316 8 113941 113941 NUM fis-4790 316 9 . . PUNCT fis-4790 317 1 doi doi NOUN fis-4790 317 2 : : PUNCT fis-4790 317 3 10.1016 10.1016 NUM fis-4790 317 4 / / SYM fis-4790 317 5 j.jenvman.2021.113941 j.jenvman.2021.113941 NOUN fis-4790 318 1 [ [ X fis-4790 318 2 12 12 NUM fis-4790 318 3 ] ] PUNCT fis-4790 318 4 chelgani chelgani NOUN fis-4790 318 5 , , PUNCT fis-4790 318 6 s. s. PROPN fis-4790 318 7 c. c. PROPN fis-4790 318 8 nasiri nasiri PROPN fis-4790 318 9 , , PUNCT fis-4790 318 10 h. h. PROPN fis-4790 318 11 and and CCONJ fis-4790 318 12 alidokht alidokht NOUN fis-4790 318 13 , , PUNCT fis-4790 318 14 m. m. NOUN fis-4790 318 15 ( ( PUNCT fis-4790 318 16 2021 2021 NUM fis-4790 318 17 ) ) PUNCT fis-4790 318 18 . . PUNCT fis-4790 319 1 interpretable interpretable ADJ fis-4790 319 2 modeling modeling NOUN fis-4790 319 3 of of ADP fis-4790 319 4 metallurgical metallurgical ADJ fis-4790 319 5 responses response NOUN fis-4790 319 6 for for ADP fis-4790 319 7 an an DET fis-4790 319 8 industrial industrial ADJ fis-4790 319 9 coal coal NOUN fis-4790 319 10 column column NOUN fis-4790 319 11 flotation flotation NOUN fis-4790 319 12 circuit circuit NOUN fis-4790 319 13 by by ADP fis-4790 319 14 xgboost xgboost ADV fis-4790 319 15 and and CCONJ fis-4790 319 16 shap shap NOUN fis-4790 319 17 - - PUNCT fis-4790 319 18 a a DET fis-4790 319 19 “ " PUNCT fis-4790 319 20 conscious conscious ADJ fis-4790 319 21 - - PUNCT fis-4790 319 22 lab lab NOUN fis-4790 319 23 ” " PUNCT fis-4790 319 24 development development NOUN fis-4790 319 25 . . PUNCT fis-4790 320 1 international international ADJ fis-4790 320 2 journal journal PROPN fis-4790 320 3 of of ADP fis-4790 320 4 mining mining NOUN fis-4790 320 5 science science NOUN fis-4790 320 6 and and CCONJ fis-4790 320 7 technology technology NOUN fis-4790 320 8 , , PUNCT fis-4790 320 9 31 31 NUM fis-4790 320 10 , , PUNCT fis-4790 320 11 pp pp ADJ fis-4790 320 12 . . PUNCT fis-4790 321 1 1135 1135 NUM fis-4790 321 2 - - SYM fis-4790 321 3 1144 1144 NUM fis-4790 321 4 . . PUNCT fis-4790 322 1 doi doi NOUN fis-4790 322 2 : : PUNCT fis-4790 322 3 10.1016 10.1016 NUM fis-4790 322 4 / / SYM fis-4790 322 5 j.ijmst.2021.10.006 j.ijmst.2021.10.006 X fis-4790 323 1 [ [ X fis-4790 323 2 13 13 NUM fis-4790 323 3 ] ] SYM fis-4790 323 4 abdullatef abdullatef PROPN fis-4790 323 5 , , PUNCT fis-4790 323 6 m. m. NOUN fis-4790 323 7 s. s. PROPN fis-4790 323 8 alirezzaq alirezzaq PROPN fis-4790 323 9 , , PUNCT fis-4790 323 10 n. n. PROPN fis-4790 323 11 and and CCONJ fis-4790 323 12 hasan hasan PROPN fis-4790 323 13 , , PUNCT fis-4790 323 14 m.m m.m PROPN fis-4790 323 15 . . PROPN fis-4790 323 16 ( ( PUNCT fis-4790 323 17 2016 2016 NUM fis-4790 323 18 ) ) PUNCT fis-4790 323 19 . . PUNCT fis-4790 324 1 prediction prediction NOUN fis-4790 324 2 fatigue fatigue NOUN fis-4790 324 3 life life NOUN fis-4790 324 4 of of ADP fis-4790 324 5 aluminum aluminum NOUN fis-4790 324 6 alloy alloy NOUN fis-4790 324 7 7075 7075 NUM fis-4790 324 8 t73 t73 NOUN fis-4790 324 9 using use VERB fis-4790 324 10 neural neural ADJ fis-4790 324 11 networks network NOUN fis-4790 324 12 and and CCONJ fis-4790 324 13 neuro neuro NOUN fis-4790 324 14 - - PUNCT fis-4790 324 15 fuzzy fuzzy ADJ fis-4790 324 16 models model NOUN fis-4790 324 17 . . PUNCT fis-4790 325 1 engineering engineering NOUN fis-4790 325 2 and and CCONJ fis-4790 325 3 technology technology NOUN fis-4790 325 4 journal journal NOUN fis-4790 325 5 , , PUNCT fis-4790 325 6 34 34 NUM fis-4790 325 7 ( ( PUNCT fis-4790 325 8 2 2 NUM fis-4790 325 9 ) ) PUNCT fis-4790 325 10 , , PUNCT fis-4790 325 11 pp pp PROPN fis-4790 325 12 . . PUNCT fis-4790 326 1 272 272 NUM fis-4790 326 2 - - SYM fis-4790 326 3 283 283 NUM fis-4790 326 4 . . PUNCT fis-4790 327 1 doi doi NOUN fis-4790 327 2 : : PUNCT fis-4790 327 3 10.30684 10.30684 NUM fis-4790 327 4 / / SYM fis-4790 327 5 etj.2016.112624 etj.2016.112624 PRON fis-4790 327 6 [ [ X fis-4790 327 7 14 14 NUM fis-4790 327 8 ] ] X fis-4790 327 9 yasnii yasnii PROPN fis-4790 327 10 , , PUNCT fis-4790 327 11 о.p о.p PROPN fis-4790 327 12 . . PROPN fis-4790 327 13 pastukh pastukh PROPN fis-4790 327 14 , , PUNCT fis-4790 327 15 o.a o.a PROPN fis-4790 327 16 . . PROPN fis-4790 327 17 pyndus pyndus PROPN fis-4790 327 18 , , PUNCT fis-4790 327 19 y. y. PROPN fis-4790 327 20 і і PROPN fis-4790 327 21 . . PUNCT fis-4790 328 1 lutsyk lutsyk PROPN fis-4790 328 2 , , PUNCT fis-4790 328 3 n.s n.s PROPN fis-4790 328 4 and and CCONJ fis-4790 328 5 didych didych NOUN fis-4790 328 6 , , PUNCT fis-4790 328 7 i.s i.s PROPN fis-4790 328 8 . . PUNCT fis-4790 329 1 ( ( PUNCT fis-4790 329 2 2018 2018 NUM fis-4790 329 3 ) ) PUNCT fis-4790 329 4 . . PUNCT fis-4790 330 1 prediction prediction NOUN fis-4790 330 2 of of ADP fis-4790 330 3 the the DET fis-4790 330 4 diagrams diagram NOUN fis-4790 330 5 of of ADP fis-4790 330 6 fatigue fatigue NOUN fis-4790 330 7 fracture fracture PROPN fis-4790 330 8 of of ADP fis-4790 330 9 d16 d16 PROPN fis-4790 330 10 t t PROPN fis-4790 330 11 aluminum aluminum NOUN fis-4790 330 12 alloy alloy NOUN fis-4790 330 13 by by ADP fis-4790 330 14 the the DET fis-4790 330 15 methods method NOUN fis-4790 330 16 of of ADP fis-4790 330 17 machine machine NOUN fis-4790 330 18 learning learning NOUN fis-4790 330 19 . . PUNCT fis-4790 331 1 materials material NOUN fis-4790 331 2 science science NOUN fis-4790 331 3 , , PUNCT fis-4790 331 4 54 54 NUM fis-4790 331 5 , , PUNCT fis-4790 331 6 pp pp ADJ fis-4790 331 7 . . PUNCT fis-4790 332 1 333 333 NUM fis-4790 332 2 - - SYM fis-4790 332 3 338 338 NUM fis-4790 332 4 . . PUNCT fis-4790 333 1 [ [ X fis-4790 333 2 15 15 NUM fis-4790 333 3 ] ] X fis-4790 333 4 doi doi NOUN fis-4790 333 5 : : PUNCT fis-4790 333 6 10.1007 10.1007 NUM fis-4790 333 7 / / SYM fis-4790 333 8 s11003 s11003 NOUN fis-4790 333 9 - - PUNCT fis-4790 333 10 018 018 NUM fis-4790 333 11 - - PUNCT fis-4790 333 12 0189 0189 NUM fis-4790 333 13 - - SYM fis-4790 333 14 9 9 NUM fis-4790 333 15 . . PUNCT fis-4790 334 1 [ [ X fis-4790 334 2 16 16 NUM fis-4790 334 3 ] ] X fis-4790 334 4 lian lian PROPN fis-4790 334 5 , , PUNCT fis-4790 334 6 z. z. PROPN fis-4790 334 7 li li PROPN fis-4790 334 8 , , PUNCT fis-4790 334 9 m. m. NOUN fis-4790 334 10 and and CCONJ fis-4790 334 11 lu lu PROPN fis-4790 334 12 , , PUNCT fis-4790 334 13 w. w. PROPN fis-4790 334 14 ( ( PUNCT fis-4790 334 15 2022 2022 NUM fis-4790 334 16 ) ) PUNCT fis-4790 334 17 . . PUNCT fis-4790 335 1 fatigue fatigue NOUN fis-4790 335 2 life life NOUN fis-4790 335 3 prediction prediction NOUN fis-4790 335 4 of of ADP fis-4790 335 5 aluminum aluminum NOUN fis-4790 335 6 alloy alloy NOUN fis-4790 335 7 via via ADP fis-4790 335 8 knowledge knowledge NOUN fis-4790 335 9 - - PUNCT fis-4790 335 10 based base VERB fis-4790 335 11 machine machine NOUN fis-4790 335 12 learning learning NOUN fis-4790 335 13 . . PUNCT fis-4790 336 1 international international ADJ fis-4790 336 2 journal journal PROPN fis-4790 336 3 of of ADP fis-4790 336 4 fatigue fatigue NOUN fis-4790 336 5 , , PUNCT fis-4790 336 6 157 157 NUM fis-4790 336 7 , , PUNCT fis-4790 336 8 106716 106716 NUM fis-4790 336 9 . . PUNCT fis-4790 337 1 doi doi NOUN fis-4790 337 2 : : PUNCT fis-4790 337 3 10.1016 10.1016 NUM fis-4790 337 4 / / SYM fis-4790 337 5 j.ijfatigue.2021.106716 j.ijfatigue.2021.106716 VERB fis-4790 337 6 . . PUNCT fis-4790 338 1 [ [ X fis-4790 338 2 17 17 NUM fis-4790 338 3 ] ] X fis-4790 338 4 matin matin PROPN fis-4790 338 5 , , PUNCT fis-4790 338 6 m. m. NOUN fis-4790 338 7 and and CCONJ fis-4790 338 8 azadi azadi NOUN fis-4790 338 9 , , PUNCT fis-4790 338 10 m. m. NOUN fis-4790 338 11 ( ( PUNCT fis-4790 338 12 2023 2023 NUM fis-4790 338 13 ) ) PUNCT fis-4790 338 14 . . PUNCT fis-4790 339 1 a a DET fis-4790 339 2 novel novel ADJ fis-4790 339 3 machine machine NOUN fis-4790 339 4 learning learning NOUN fis-4790 339 5 - - PUNCT fis-4790 339 6 based base VERB fis-4790 339 7 model model NOUN fis-4790 339 8 for for ADP fis-4790 339 9 predicting predict VERB fis-4790 339 10 of of ADP fis-4790 339 11 transition transition NOUN fis-4790 339 12 fatigue fatigue NOUN fis-4790 339 13 lifetime lifetime NOUN fis-4790 339 14 in in ADP fis-4790 339 15 piston piston NOUN fis-4790 339 16 aluminum aluminum NOUN fis-4790 339 17 alloys alloy NOUN fis-4790 339 18 . . PUNCT fis-4790 340 1 preprint preprint NOUN fis-4790 340 2 in in ADP fis-4790 340 3 ssrn ssrn NOUN fis-4790 340 4 . . PUNCT fis-4790 341 1 available available ADJ fis-4790 341 2 at at ADP fis-4790 341 3 ssrn ssrn NOUN fis-4790 341 4 4598611 4598611 NUM fis-4790 341 5 . . PUNCT fis-4790 342 1 doi doi NOUN fis-4790 342 2 : : PUNCT fis-4790 342 3 10.2139 10.2139 NUM fis-4790 342 4 / / SYM fis-4790 342 5 ssrn.4598611 ssrn.4598611 PROPN fis-4790 342 6 . . PUNCT fis-4790 343 1 [ [ X fis-4790 343 2 18 18 NUM fis-4790 343 3 ] ] X fis-4790 343 4 azadi azadi NOUN fis-4790 343 5 , , PUNCT fis-4790 343 6 m. m. NOUN fis-4790 343 7 and and CCONJ fis-4790 343 8 parast parast NOUN fis-4790 343 9 , , PUNCT fis-4790 343 10 m. m. NOUN fis-4790 343 11 s. s. PROPN fis-4790 343 12 a. a. PROPN fis-4790 343 13 ( ( PUNCT fis-4790 343 14 2022 2022 NUM fis-4790 343 15 ) ) PUNCT fis-4790 343 16 . . PUNCT fis-4790 344 1 data datum NOUN fis-4790 344 2 analysis analysis NOUN fis-4790 344 3 of of ADP fis-4790 344 4 high high ADJ fis-4790 344 5 - - PUNCT fis-4790 344 6 cycle cycle NOUN fis-4790 344 7 fatigue fatigue NOUN fis-4790 344 8 testing testing NOUN fis-4790 344 9 on on ADP fis-4790 344 10 piston piston NOUN fis-4790 344 11 aluminum aluminum NOUN fis-4790 344 12 - - PUNCT fis-4790 344 13 silicon silicon NOUN fis-4790 344 14 alloys alloy NOUN fis-4790 344 15 under under ADP fis-4790 344 16 various various ADJ fis-4790 344 17 conditions condition NOUN fis-4790 344 18 : : PUNCT fis-4790 344 19 wear wear NOUN fis-4790 344 20 , , PUNCT fis-4790 344 21 lubrication lubrication NOUN fis-4790 344 22 , , PUNCT fis-4790 344 23 corrosion corrosion NOUN fis-4790 344 24 , , PUNCT fis-4790 344 25 nano nano NOUN fis-4790 344 26 - - PUNCT fis-4790 344 27 particles particle NOUN fis-4790 344 28 , , PUNCT fis-4790 344 29 heat heat NOUN fis-4790 344 30 - - PUNCT fis-4790 344 31 treating treating NOUN fis-4790 344 32 , , PUNCT fis-4790 344 33 and and CCONJ fis-4790 344 34 stress stress NOUN fis-4790 344 35 . . PUNCT fis-4790 345 1 data datum NOUN fis-4790 345 2 in in ADP fis-4790 345 3 brief brief ADJ fis-4790 345 4 , , PUNCT fis-4790 345 5 41 41 NUM fis-4790 345 6 , , PUNCT fis-4790 345 7 107984 107984 NUM fis-4790 345 8 . . PUNCT fis-4790 346 1 doi doi NOUN fis-4790 346 2 : : PUNCT fis-4790 346 3 10.1016 10.1016 NUM fis-4790 346 4 / / SYM fis-4790 346 5 j.dib.2022.107984 j.dib.2022.107984 PROPN fis-4790 346 6 . . PUNCT fis-4790 347 1 [ [ X fis-4790 347 2 19 19 NUM fis-4790 347 3 ] ] SYM fis-4790 347 4 tognan tognan NOUN fis-4790 347 5 , , PUNCT fis-4790 347 6 a. a. NOUN fis-4790 347 7 patanè patanè PROPN fis-4790 347 8 , , PUNCT fis-4790 347 9 a. a. NOUN fis-4790 347 10 laurenti laurenti PROPN fis-4790 347 11 , , PUNCT fis-4790 347 12 l. l. PROPN fis-4790 347 13 and and CCONJ fis-4790 347 14 salvati salvati PROPN fis-4790 347 15 , , PUNCT fis-4790 347 16 e. e. PROPN fis-4790 347 17 ( ( PUNCT fis-4790 347 18 2024 2024 NUM fis-4790 347 19 ) ) PUNCT fis-4790 347 20 . . PUNCT fis-4790 348 1 a a DET fis-4790 348 2 bayesian bayesian NOUN fis-4790 348 3 defect defect NOUN fis-4790 348 4 - - PUNCT fis-4790 348 5 based base VERB fis-4790 348 6 physics physics NOUN fis-4790 348 7 - - PUNCT fis-4790 348 8 guided guide VERB fis-4790 348 9 neural neural ADJ fis-4790 348 10 network network NOUN fis-4790 348 11 model model NOUN fis-4790 348 12 for for ADP fis-4790 348 13 probabilistic probabilistic ADJ fis-4790 348 14 fatigue fatigue NOUN fis-4790 348 15 endurance endurance NOUN fis-4790 348 16 limit limit NOUN fis-4790 348 17 evaluation evaluation NOUN fis-4790 348 18 . . PUNCT fis-4790 349 1 computer computer NOUN fis-4790 349 2 methods method NOUN fis-4790 349 3 in in ADP fis-4790 349 4 applied applied ADJ fis-4790 349 5 mechanics mechanic NOUN fis-4790 349 6 and and CCONJ fis-4790 349 7 engineering engineering NOUN fis-4790 349 8 , , PUNCT fis-4790 349 9 418 418 NUM fis-4790 349 10 , , PUNCT fis-4790 349 11 116521 116521 NUM fis-4790 349 12 . . PUNCT fis-4790 350 1 doi doi NOUN fis-4790 350 2 : : PUNCT fis-4790 350 3 10.1016 10.1016 NUM fis-4790 350 4 / / SYM fis-4790 350 5 j.cma.2023.116521 j.cma.2023.116521 PROPN fis-4790 351 1 [ [ X fis-4790 351 2 20 20 NUM fis-4790 351 3 ] ] PUNCT fis-4790 351 4 salvati salvati NOUN fis-4790 351 5 , , PUNCT fis-4790 351 6 e. e. PROPN fis-4790 351 7 tognan tognan PROPN fis-4790 351 8 , , PUNCT fis-4790 351 9 a. a. NOUN fis-4790 351 10 laurenti laurenti PROPN fis-4790 351 11 , , PUNCT fis-4790 351 12 l. l. PROPN fis-4790 351 13 pelegatti pelegatti PROPN fis-4790 351 14 , , PUNCT fis-4790 351 15 m. m. NOUN fis-4790 351 16 and and CCONJ fis-4790 351 17 de de X fis-4790 351 18 bona bona PROPN fis-4790 351 19 , , PUNCT fis-4790 351 20 f. f. PROPN fis-4790 351 21 ( ( PUNCT fis-4790 351 22 2022 2022 NUM fis-4790 351 23 ) ) PUNCT fis-4790 351 24 . . PUNCT fis-4790 352 1 a a DET fis-4790 352 2 defect defect NOUN fis-4790 352 3 - - PUNCT fis-4790 352 4 based base VERB fis-4790 352 5 physics physics NOUN fis-4790 352 6 - - PUNCT fis-4790 352 7 informed inform VERB fis-4790 352 8 machine machine NOUN fis-4790 352 9 learning learn VERB fis-4790 352 10 framework framework NOUN fis-4790 352 11 for for ADP fis-4790 352 12 fatigue fatigue NOUN fis-4790 352 13 finite finite PROPN fis-4790 352 14 life life NOUN fis-4790 352 15 prediction prediction NOUN fis-4790 352 16 in in ADP fis-4790 352 17 additive additive ADJ fis-4790 352 18 manufacturing manufacturing NOUN fis-4790 352 19 . . PUNCT fis-4790 353 1 materials material NOUN fis-4790 353 2 & & CCONJ fis-4790 353 3 design design PROPN fis-4790 353 4 , , PUNCT fis-4790 353 5 222 222 NUM fis-4790 353 6 , , PUNCT fis-4790 353 7 111089 111089 NUM fis-4790 353 8 . . PUNCT fis-4790 354 1 doi doi NOUN fis-4790 354 2 : : PUNCT fis-4790 354 3 10.1016 10.1016 NUM fis-4790 354 4 / / SYM fis-4790 354 5 j.matdes.2022.111089 j.matdes.2022.111089 NOUN fis-4790 355 1 [ [ X fis-4790 355 2 21 21 NUM fis-4790 355 3 ] ] X fis-4790 355 4 zhu zhu PROPN fis-4790 355 5 , , PUNCT fis-4790 355 6 s.p s.p PROPN fis-4790 355 7 . . PROPN fis-4790 355 8 wang wang PROPN fis-4790 355 9 , , PUNCT fis-4790 355 10 l. l. PROPN fis-4790 355 11 luo luo PROPN fis-4790 355 12 , , PUNCT fis-4790 355 13 c. c. PROPN fis-4790 355 14 correia correia PROPN fis-4790 355 15 , , PUNCT fis-4790 355 16 j.a j.a PROPN fis-4790 355 17 . . PROPN fis-4790 355 18 de de PROPN fis-4790 355 19 jesus jesus PROPN fis-4790 355 20 , , PUNCT fis-4790 355 21 a.m. a.m. PROPN fis-4790 355 22 berto berto PROPN fis-4790 355 23 , , PUNCT fis-4790 355 24 f. f. PROPN fis-4790 355 25 and and CCONJ fis-4790 355 26 wang wang PROPN fis-4790 355 27 , , PUNCT fis-4790 355 28 q. q. PROPN fis-4790 355 29 ( ( PUNCT fis-4790 355 30 2023 2023 NUM fis-4790 355 31 ) ) PUNCT fis-4790 355 32 . . PUNCT fis-4790 356 1 physics physics NOUN fis-4790 356 2 - - PUNCT fis-4790 356 3 informed inform VERB fis-4790 356 4 machine machine NOUN fis-4790 356 5 learning learning NOUN fis-4790 356 6 and and CCONJ fis-4790 356 7 its its PRON fis-4790 356 8 structural structural ADJ fis-4790 356 9 integrity integrity NOUN fis-4790 356 10 applications application NOUN fis-4790 356 11 : : PUNCT fis-4790 356 12 state state NOUN fis-4790 356 13 of of ADP fis-4790 356 14 the the DET fis-4790 356 15 art art NOUN fis-4790 356 16 . . PUNCT fis-4790 357 1 philosophical philosophical ADJ fis-4790 357 2 transactions transaction NOUN fis-4790 357 3 of of ADP fis-4790 357 4 the the DET fis-4790 357 5 royal royal ADJ fis-4790 357 6 society society NOUN fis-4790 357 7 a a PRON fis-4790 357 8 , , PUNCT fis-4790 357 9 381 381 NUM fis-4790 357 10 , , PUNCT fis-4790 357 11 20220406 20220406 NUM fis-4790 357 12 . . PUNCT fis-4790 358 1 doi doi NOUN fis-4790 358 2 : : PUNCT fis-4790 358 3 10.1098 10.1098 NUM fis-4790 358 4 / / SYM fis-4790 358 5 rsta.2022.0406 rsta.2022.0406 VERB fis-4790 358 6 m. m. NOUN fis-4790 358 7 matin matin PROPN fis-4790 358 8 et et PROPN fis-4790 358 9 alii alii PROPN fis-4790 358 10 , , PUNCT fis-4790 358 11 frattura frattura PROPN fis-4790 358 12 ed ed PROPN fis-4790 358 13 integrità integrità PROPN fis-4790 358 14 strutturale strutturale PROPN fis-4790 358 15 , , PUNCT fis-4790 358 16 68 68 NUM fis-4790 358 17 ( ( PUNCT fis-4790 358 18 2024 2024 NUM fis-4790 358 19 ) ) PUNCT fis-4790 358 20 357 357 NUM fis-4790 358 21 - - SYM fis-4790 358 22 370 370 NUM fis-4790 358 23 ; ; PUNCT fis-4790 358 24 doi doi NOUN fis-4790 358 25 : : PUNCT fis-4790 358 26 10.3221 10.3221 NUM fis-4790 358 27 / / SYM fis-4790 358 28 igf igf PROPN fis-4790 358 29 - - PROPN fis-4790 358 30 esis.68.24 esis.68.24 PROPN fis-4790 358 31 370 370 NUM fis-4790 359 1 [ [ X fis-4790 359 2 22 22 NUM fis-4790 359 3 ] ] X fis-4790 359 4 matin matin X fis-4790 359 5 , , PUNCT fis-4790 359 6 m. m. NOUN fis-4790 359 7 and and CCONJ fis-4790 359 8 azadi azadi NOUN fis-4790 359 9 , , PUNCT fis-4790 359 10 m. m. NOUN fis-4790 359 11 ( ( PUNCT fis-4790 359 12 2023 2023 NUM fis-4790 359 13 ) ) PUNCT fis-4790 359 14 . . PUNCT fis-4790 360 1 the the DET fis-4790 360 2 effect effect NOUN fis-4790 360 3 of of ADP fis-4790 360 4 training training NOUN fis-4790 360 5 data datum NOUN fis-4790 360 6 ratio ratio NOUN fis-4790 360 7 and and CCONJ fis-4790 360 8 normalizing normalize VERB fis-4790 360 9 on on ADP fis-4790 360 10 fatigue fatigue NOUN fis-4790 360 11 lifetime lifetime NOUN fis-4790 360 12 prediction prediction NOUN fis-4790 360 13 of of ADP fis-4790 360 14 aluminum aluminum NOUN fis-4790 360 15 alloys alloy NOUN fis-4790 360 16 with with ADP fis-4790 360 17 machine machine NOUN fis-4790 360 18 learning learning NOUN fis-4790 360 19 . . PUNCT fis-4790 361 1 international international ADJ fis-4790 361 2 journal journal PROPN fis-4790 361 3 of of ADP fis-4790 361 4 engineering engineering NOUN fis-4790 361 5 . . PUNCT fis-4790 362 1 available available ADJ fis-4790 362 2 at at ADP fis-4790 362 3 : : PUNCT fis-4790 362 4 https://www.ije.ir/article_186504.html https://www.ije.ir/article_186504.html NOUN fis-4790 363 1 [ [ X fis-4790 363 2 23 23 NUM fis-4790 363 3 ] ] X fis-4790 363 4 cohen cohen PROPN fis-4790 363 5 , , PUNCT fis-4790 363 6 i. i. PROPN fis-4790 363 7 huang huang PROPN fis-4790 363 8 , , PUNCT fis-4790 363 9 y. y. PROPN fis-4790 363 10 chen chen PROPN fis-4790 363 11 , , PUNCT fis-4790 363 12 j. j. PROPN fis-4790 363 13 benesty benesty PROPN fis-4790 363 14 , , PUNCT fis-4790 363 15 j. j. PROPN fis-4790 363 16 benesty benesty PROPN fis-4790 363 17 , , PUNCT fis-4790 363 18 j. j. PROPN fis-4790 363 19 chen chen PROPN fis-4790 363 20 , , PUNCT fis-4790 363 21 j. j. PROPN fis-4790 363 22 huang huang PROPN fis-4790 363 23 , , PUNCT fis-4790 363 24 y. y. PROPN fis-4790 363 25 and and CCONJ fis-4790 363 26 cohen cohen PROPN fis-4790 363 27 , , PUNCT fis-4790 363 28 i. i. PROPN fis-4790 363 29 ( ( PUNCT fis-4790 363 30 2009 2009 NUM fis-4790 363 31 ) ) PUNCT fis-4790 363 32 . . PUNCT fis-4790 364 1 pearson pearson PROPN fis-4790 364 2 correlation correlation PROPN fis-4790 364 3 coefficient coefficient NOUN fis-4790 364 4 . . PUNCT fis-4790 365 1 noise noise NOUN fis-4790 365 2 reduction reduction NOUN fis-4790 365 3 in in ADP fis-4790 365 4 speech speech NOUN fis-4790 365 5 processing processing NOUN fis-4790 365 6 , , PUNCT fis-4790 365 7 pp pp ADJ fis-4790 365 8 . . PUNCT fis-4790 366 1 1 1 NUM fis-4790 366 2 - - SYM fis-4790 366 3 4 4 NUM fis-4790 366 4 . . PUNCT fis-4790 366 5 doi doi NOUN fis-4790 366 6 : : PUNCT fis-4790 366 7 10.1007/978 10.1007/978 NUM fis-4790 366 8 - - SYM fis-4790 366 9 3 3 NUM fis-4790 366 10 - - PUNCT fis-4790 366 11 642 642 NUM fis-4790 366 12 - - PUNCT fis-4790 366 13 00296 00296 NUM fis-4790 366 14 - - PUNCT fis-4790 366 15 0_5 0_5 NOUN fis-4790 366 16 . . PUNCT fis-4790 367 1 [ [ X fis-4790 367 2 24 24 NUM fis-4790 367 3 ] ] X fis-4790 367 4 lundberg lundberg PROPN fis-4790 367 5 , , PUNCT fis-4790 367 6 s. s. PROPN fis-4790 367 7 m. m. PROPN fis-4790 367 8 and and CCONJ fis-4790 367 9 lee lee PROPN fis-4790 367 10 , , PUNCT fis-4790 367 11 s. s. PROPN fis-4790 367 12 i. i. PROPN fis-4790 367 13 ( ( PUNCT fis-4790 367 14 2017 2017 NUM fis-4790 367 15 ) ) PUNCT fis-4790 367 16 . . PUNCT fis-4790 368 1 a a DET fis-4790 368 2 unified unified ADJ fis-4790 368 3 approach approach NOUN fis-4790 368 4 to to ADP fis-4790 368 5 interpreting interpret VERB fis-4790 368 6 model model NOUN fis-4790 368 7 predictions prediction NOUN fis-4790 368 8 . . PUNCT fis-4790 369 1 advances advance NOUN fis-4790 369 2 in in ADP fis-4790 369 3 neural neural ADJ fis-4790 369 4 information information NOUN fis-4790 369 5 processing processing NOUN fis-4790 369 6 systems system NOUN fis-4790 369 7 , , PUNCT fis-4790 369 8 30 30 NUM fis-4790 369 9 . . PUNCT fis-4790 370 1 isbn isbn NOUN fis-4790 370 2 : : PUNCT fis-4790 370 3 9781510860964 9781510860964 NUM fis-4790 370 4 . . PUNCT fis-4790 371 1 [ [ X fis-4790 371 2 25 25 NUM fis-4790 371 3 ] ] X fis-4790 371 4 wen wen PROPN fis-4790 371 5 , , PUNCT fis-4790 371 6 x. x. PROPN fis-4790 371 7 , , PUNCT fis-4790 371 8 xie xie PROPN fis-4790 371 9 , , PUNCT fis-4790 371 10 y. y. PROPN fis-4790 371 11 wu wu PROPN fis-4790 371 12 , , PUNCT fis-4790 371 13 l. l. PROPN fis-4790 371 14 and and CCONJ fis-4790 371 15 jiang jiang PROPN fis-4790 371 16 , , PUNCT fis-4790 371 17 l. l. PROPN fis-4790 371 18 ( ( PUNCT fis-4790 371 19 2021 2021 NUM fis-4790 371 20 ) ) PUNCT fis-4790 371 21 . . PUNCT fis-4790 372 1 quantifying quantify VERB fis-4790 372 2 and and CCONJ fis-4790 372 3 comparing compare VERB fis-4790 372 4 the the DET fis-4790 372 5 effects effect NOUN fis-4790 372 6 of of ADP fis-4790 372 7 key key ADJ fis-4790 372 8 risk risk NOUN fis-4790 372 9 factors factor NOUN fis-4790 372 10 on on ADP fis-4790 372 11 various various ADJ fis-4790 372 12 types type NOUN fis-4790 372 13 of of ADP fis-4790 372 14 roadway roadway NOUN fis-4790 372 15 segment segment NOUN fis-4790 372 16 crashes crash VERB fis-4790 372 17 with with ADP fis-4790 372 18 lightgbm lightgbm NOUN fis-4790 372 19 and and CCONJ fis-4790 372 20 shap shap NOUN fis-4790 372 21 . . PUNCT fis-4790 373 1 accident accident NOUN fis-4790 373 2 analysis analysis NOUN fis-4790 373 3 & & CCONJ fis-4790 373 4 prevention prevention NOUN fis-4790 373 5 , , PUNCT fis-4790 373 6 159 159 NUM fis-4790 373 7 , , PUNCT fis-4790 373 8 106261 106261 NUM fis-4790 373 9 . . PUNCT fis-4790 374 1 doi doi NOUN fis-4790 374 2 : : PUNCT fis-4790 374 3 10.1016 10.1016 NUM fis-4790 374 4 / / SYM fis-4790 374 5 j.aap.2021.106261 j.aap.2021.106261 NOUN fis-4790 374 6 . . PUNCT fis-4790 375 1 [ [ X fis-4790 375 2 26 26 NUM fis-4790 375 3 ] ] X fis-4790 375 4 meng meng PROPN fis-4790 375 5 , , PUNCT fis-4790 375 6 y. y. PROPN fis-4790 375 7 yang yang PROPN fis-4790 375 8 , , PUNCT fis-4790 375 9 n. n. PROPN fis-4790 375 10 qian qian PROPN fis-4790 375 11 , , PUNCT fis-4790 375 12 z. z. PROPN fis-4790 375 13 and and CCONJ fis-4790 375 14 zhang zhang PROPN fis-4790 375 15 , , PUNCT fis-4790 375 16 g. g. PROPN fis-4790 375 17 ( ( PUNCT fis-4790 375 18 2020 2020 NUM fis-4790 375 19 ) ) PUNCT fis-4790 375 20 . . PUNCT fis-4790 376 1 what what PRON fis-4790 376 2 makes make VERB fis-4790 376 3 an an DET fis-4790 376 4 online online ADJ fis-4790 376 5 review review NOUN fis-4790 376 6 more more ADV fis-4790 376 7 helpful helpful ADJ fis-4790 376 8 : : PUNCT fis-4790 376 9 an an DET fis-4790 376 10 interpretation interpretation NOUN fis-4790 376 11 framework framework NOUN fis-4790 376 12 using use VERB fis-4790 376 13 xgboost xgboost ADV fis-4790 376 14 and and CCONJ fis-4790 376 15 shap shap PROPN fis-4790 376 16 values value NOUN fis-4790 376 17 . . PUNCT fis-4790 377 1 journal journal NOUN fis-4790 377 2 of of ADP fis-4790 377 3 theoretical theoretical ADJ fis-4790 377 4 and and CCONJ fis-4790 377 5 applied apply VERB fis-4790 377 6 electronic electronic ADJ fis-4790 377 7 commerce commerce NOUN fis-4790 377 8 research research NOUN fis-4790 377 9 , , PUNCT fis-4790 377 10 16 16 NUM fis-4790 377 11 , , PUNCT fis-4790 377 12 pp pp ADJ fis-4790 377 13 . . PUNCT fis-4790 378 1 466 466 NUM fis-4790 378 2 - - SYM fis-4790 378 3 490 490 NUM fis-4790 378 4 . . PUNCT fis-4790 378 5 doi doi NOUN fis-4790 378 6 : : PUNCT fis-4790 378 7 10.3390 10.3390 NUM fis-4790 378 8 / / SYM fis-4790 378 9 jtaer16030029 jtaer16030029 PROPN fis-4790 378 10 . . PUNCT fis-4790 379 1 [ [ X fis-4790 379 2 27 27 NUM fis-4790 379 3 ] ] X fis-4790 379 4 biau biau PROPN fis-4790 379 5 , , PUNCT fis-4790 379 6 g. g. PROPN fis-4790 379 7 and and CCONJ fis-4790 379 8 scornet scornet PROPN fis-4790 379 9 , , PUNCT fis-4790 379 10 e. e. PROPN fis-4790 379 11 ( ( PUNCT fis-4790 379 12 2016 2016 NUM fis-4790 379 13 ) ) PUNCT fis-4790 379 14 . . PUNCT fis-4790 380 1 a a DET fis-4790 380 2 random random ADJ fis-4790 380 3 forest forest NOUN fis-4790 380 4 guided guide VERB fis-4790 380 5 tour tour NOUN fis-4790 380 6 . . PUNCT fis-4790 381 1 test test NOUN fis-4790 381 2 , , PUNCT fis-4790 381 3 25 25 NUM fis-4790 381 4 , , PUNCT fis-4790 381 5 197 197 NUM fis-4790 381 6 - - SYM fis-4790 381 7 227 227 NUM fis-4790 381 8 . . PUNCT fis-4790 382 1 doi doi NOUN fis-4790 382 2 : : PUNCT fis-4790 382 3 10.1007 10.1007 NUM fis-4790 382 4 / / SYM fis-4790 382 5 s11749 s11749 NOUN fis-4790 382 6 - - PUNCT fis-4790 382 7 016 016 NUM fis-4790 382 8 - - PUNCT fis-4790 382 9 0481 0481 NUM fis-4790 382 10 - - SYM fis-4790 382 11 7 7 NUM fis-4790 382 12 [ [ SYM fis-4790 382 13 28 28 NUM fis-4790 382 14 ] ] PUNCT fis-4790 382 15 cutler cutler NOUN fis-4790 382 16 , , PUNCT fis-4790 382 17 a. a. NOUN fis-4790 382 18 cutler cutler PROPN fis-4790 382 19 , , PUNCT fis-4790 382 20 d. d. PROPN fis-4790 382 21 r. r. PROPN fis-4790 382 22 and and CCONJ fis-4790 382 23 stevens stevens PROPN fis-4790 382 24 , , PUNCT fis-4790 382 25 j. j. PROPN fis-4790 382 26 r. r. PROPN fis-4790 382 27 ( ( PUNCT fis-4790 382 28 2012 2012 NUM fis-4790 382 29 ) ) PUNCT fis-4790 382 30 . . PUNCT fis-4790 383 1 random random ADJ fis-4790 383 2 forests forest NOUN fis-4790 383 3 . . PUNCT fis-4790 384 1 ensemble ensemble ADJ fis-4790 384 2 machine machine NOUN fis-4790 384 3 learning learning NOUN fis-4790 384 4 : : PUNCT fis-4790 384 5 methods method NOUN fis-4790 384 6 and and CCONJ fis-4790 384 7 applications application NOUN fis-4790 384 8 , , PUNCT fis-4790 384 9 pp pp ADJ fis-4790 384 10 . . PUNCT fis-4790 385 1 157 157 NUM fis-4790 385 2 - - SYM fis-4790 385 3 175 175 NUM fis-4790 385 4 . . PUNCT fis-4790 386 1 doi doi NOUN fis-4790 386 2 : : PUNCT fis-4790 386 3 10.1007/978 10.1007/978 NUM fis-4790 386 4 - - SYM fis-4790 386 5 1 1 NUM fis-4790 386 6 - - PUNCT fis-4790 386 7 4419 4419 NUM fis-4790 386 8 - - PUNCT fis-4790 386 9 9326 9326 NUM fis-4790 386 10 - - PUNCT fis-4790 386 11 7_5 7_5 NUM fis-4790 386 12 . . PUNCT fis-4790 387 1 [ [ X fis-4790 387 2 29 29 NUM fis-4790 387 3 ] ] X fis-4790 387 4 huang huang PROPN fis-4790 387 5 , , PUNCT fis-4790 387 6 q. q. PROPN fis-4790 387 7 mao mao PROPN fis-4790 387 8 , , PUNCT fis-4790 387 9 j. j. PROPN fis-4790 387 10 and and CCONJ fis-4790 387 11 liu liu PROPN fis-4790 387 12 , , PUNCT fis-4790 387 13 y. y. PROPN fis-4790 387 14 an an DET fis-4790 387 15 improved improve VERB fis-4790 387 16 grid grid NOUN fis-4790 387 17 search search NOUN fis-4790 387 18 algorithm algorithm NOUN fis-4790 387 19 of of ADP fis-4790 387 20 svr svr PROPN fis-4790 387 21 parameters parameter NOUN fis-4790 387 22 optimization optimization NOUN fis-4790 387 23 . . PUNCT fis-4790 388 1 ( ( PUNCT fis-4790 388 2 2012 2012 NUM fis-4790 388 3 ) ) PUNCT fis-4790 388 4 . . PUNCT fis-4790 389 1 ieee ieee PROPN fis-4790 389 2 14th 14th ADJ fis-4790 389 3 international international ADJ fis-4790 389 4 conference conference NOUN fis-4790 389 5 on on ADP fis-4790 389 6 communication communication NOUN fis-4790 389 7 technology technology NOUN fis-4790 389 8 , , PUNCT fis-4790 389 9 pp pp ADP fis-4790 389 10 . . PUNCT fis-4790 389 11 1022 1022 NUM fis-4790 389 12 - - SYM fis-4790 389 13 1026 1026 NUM fis-4790 389 14 . . PUNCT fis-4790 390 1 doi doi NOUN fis-4790 390 2 : : PUNCT fis-4790 390 3 10.1109 10.1109 NUM fis-4790 390 4 / / SYM fis-4790 390 5 icct.2012.6511415 icct.2012.6511415 NOUN fis-4790 390 6 . . PUNCT fis-4790 391 1 [ [ X fis-4790 391 2 30 30 NUM fis-4790 391 3 ] ] X fis-4790 391 4 wu wu PROPN fis-4790 391 5 , , PUNCT fis-4790 391 6 c.h c.h PROPN fis-4790 391 7 . . PROPN fis-4790 391 8 ho ho PROPN fis-4790 391 9 , , PUNCT fis-4790 391 10 j.m j.m PROPN fis-4790 391 11 . . PROPN fis-4790 391 12 and and CCONJ fis-4790 391 13 lee lee PROPN fis-4790 391 14 , , PUNCT fis-4790 391 15 d.t d.t PROPN fis-4790 391 16 . . PUNCT fis-4790 391 17 ( ( PUNCT fis-4790 391 18 2004 2004 NUM fis-4790 391 19 ) ) PUNCT fis-4790 391 20 . . PUNCT fis-4790 392 1 travel travel NOUN fis-4790 392 2 - - PUNCT fis-4790 392 3 time time NOUN fis-4790 392 4 prediction prediction NOUN fis-4790 392 5 with with ADP fis-4790 392 6 support support NOUN fis-4790 392 7 vector vector NOUN fis-4790 392 8 regression regression NOUN fis-4790 392 9 . . PUNCT fis-4790 393 1 ieee ieee NOUN fis-4790 393 2 transactions transaction NOUN fis-4790 393 3 on on ADP fis-4790 393 4 intelligent intelligent ADJ fis-4790 393 5 transportation transportation NOUN fis-4790 393 6 systems system NOUN fis-4790 393 7 , , PUNCT fis-4790 393 8 5 5 NUM fis-4790 393 9 , , PUNCT fis-4790 393 10 pp pp ADJ fis-4790 393 11 . . PUNCT fis-4790 394 1 276 276 NUM fis-4790 394 2 - - SYM fis-4790 394 3 281 281 NUM fis-4790 394 4 . . PUNCT fis-4790 395 1 doi doi NOUN fis-4790 395 2 : : PUNCT fis-4790 395 3 10.1109 10.1109 NUM fis-4790 395 4 / / SYM fis-4790 395 5 tits.2004.837813 tits.2004.837813 NUM fis-4790 395 6 . . PUNCT fis-4790 396 1 [ [ X fis-4790 396 2 31 31 NUM fis-4790 396 3 ] ] X fis-4790 396 4 ahmadi ahmadi PROPN fis-4790 396 5 - - PUNCT fis-4790 396 6 nedushan nedushan PROPN fis-4790 396 7 , , PUNCT fis-4790 396 8 b. b. PROPN fis-4790 396 9 ( ( PUNCT fis-4790 396 10 2012 2012 NUM fis-4790 396 11 ) ) PUNCT fis-4790 396 12 . . PUNCT fis-4790 396 13 prediction prediction NOUN fis-4790 396 14 of of ADP fis-4790 396 15 elastic elastic ADJ fis-4790 396 16 modulus modulus NOUN fis-4790 396 17 of of ADP fis-4790 396 18 normal normal ADJ fis-4790 396 19 and and CCONJ fis-4790 396 20 high high ADJ fis-4790 396 21 strength strength NOUN fis-4790 396 22 concrete concrete NOUN fis-4790 396 23 using use VERB fis-4790 396 24 anfis anfis ADJ fis-4790 396 25 and and CCONJ fis-4790 396 26 optimal optimal ADJ fis-4790 396 27 nonlinear nonlinear ADJ fis-4790 396 28 regression regression NOUN fis-4790 396 29 models model NOUN fis-4790 396 30 . . PUNCT fis-4790 397 1 construction construction NOUN fis-4790 397 2 and and CCONJ fis-4790 397 3 building building NOUN fis-4790 397 4 materials material NOUN fis-4790 397 5 , , PUNCT fis-4790 397 6 36 36 NUM fis-4790 397 7 , , PUNCT fis-4790 397 8 pp pp ADJ fis-4790 397 9 . . PUNCT fis-4790 398 1 665 665 NUM fis-4790 398 2 - - SYM fis-4790 398 3 673 673 NUM fis-4790 398 4 . . PUNCT fis-4790 399 1 doi doi NOUN fis-4790 399 2 : : PUNCT fis-4790 399 3 10.1016 10.1016 NUM fis-4790 399 4 / / SYM fis-4790 399 5 j.conbuildmat.2012.06.002 j.conbuildmat.2012.06.002 NOUN fis-4790 399 6 [ [ X fis-4790 399 7 32 32 NUM fis-4790 399 8 ] ] PUNCT fis-4790 399 9 putatunda putatunda NOUN fis-4790 399 10 , , PUNCT fis-4790 399 11 s. s. PROPN fis-4790 399 12 and and CCONJ fis-4790 399 13 rama rama PROPN fis-4790 399 14 , , PUNCT fis-4790 399 15 k. k. PROPN fis-4790 399 16 ( ( PUNCT fis-4790 399 17 2018 2018 NUM fis-4790 399 18 ) ) PUNCT fis-4790 399 19 . . PUNCT fis-4790 400 1 a a DET fis-4790 400 2 comparative comparative ADJ fis-4790 400 3 analysis analysis NOUN fis-4790 400 4 of of ADP fis-4790 400 5 hyperopt hyperopt NOUN fis-4790 400 6 as as ADP fis-4790 400 7 against against ADP fis-4790 400 8 other other ADJ fis-4790 400 9 approaches approach NOUN fis-4790 400 10 for for ADP fis-4790 400 11 hyper hyper ADJ fis-4790 400 12 - - ADJ fis-4790 400 13 parameter parameter ADJ fis-4790 400 14 optimization optimization NOUN fis-4790 400 15 of of ADP fis-4790 400 16 xgboost xgboost PROPN fis-4790 400 17 . . PUNCT fis-4790 401 1 proceedings proceeding NOUN fis-4790 401 2 of of ADP fis-4790 401 3 the the DET fis-4790 401 4 2018 2018 NUM fis-4790 401 5 international international ADJ fis-4790 401 6 conference conference NOUN fis-4790 401 7 on on ADP fis-4790 401 8 signal signal ADJ fis-4790 401 9 processing processing NOUN fis-4790 401 10 and and CCONJ fis-4790 401 11 machine machine NOUN fis-4790 401 12 learning learning NOUN fis-4790 401 13 , , PUNCT fis-4790 401 14 pp pp ADJ fis-4790 401 15 . . PUNCT fis-4790 402 1 6 6 NUM fis-4790 402 2 - - SYM fis-4790 402 3 10 10 NUM fis-4790 402 4 . . PUNCT fis-4790 403 1 doi doi NOUN fis-4790 403 2 : : PUNCT fis-4790 403 3 10.1145/3297067.3297080 10.1145/3297067.3297080 NUM fis-4790 403 4 . . PUNCT fis-4790 404 1 [ [ X fis-4790 404 2 33 33 NUM fis-4790 404 3 ] ] X fis-4790 404 4 azadi azadi PROPN fis-4790 404 5 , , PUNCT fis-4790 404 6 m. m. NOUN fis-4790 404 7 shahsavand shahsavand NOUN fis-4790 404 8 , , PUNCT fis-4790 404 9 a. a. NOUN fis-4790 404 10 and and CCONJ fis-4790 404 11 parast parast NOUN fis-4790 404 12 , , PUNCT fis-4790 404 13 m. m. NOUN fis-4790 404 14 s. s. PROPN fis-4790 404 15 a. a. PROPN fis-4790 404 16 ( ( PUNCT fis-4790 404 17 2022 2022 NUM fis-4790 404 18 ) ) PUNCT fis-4790 404 19 . . PUNCT fis-4790 405 1 analyzing analyze VERB fis-4790 405 2 experimental experimental ADJ fis-4790 405 3 data datum NOUN fis-4790 405 4 from from ADP fis-4790 405 5 reciprocating reciprocate VERB fis-4790 405 6 wear wear NOUN fis-4790 405 7 testing testing NOUN fis-4790 405 8 on on ADP fis-4790 405 9 piston piston NOUN fis-4790 405 10 aluminum aluminum NOUN fis-4790 405 11 alloys alloy NOUN fis-4790 405 12 , , PUNCT fis-4790 405 13 with with ADP fis-4790 405 14 and and CCONJ fis-4790 405 15 without without ADP fis-4790 405 16 clay clay NOUN fis-4790 405 17 nano nano NOUN fis-4790 405 18 - - PUNCT fis-4790 405 19 particle particle NOUN fis-4790 405 20 reinforcement reinforcement NOUN fis-4790 405 21 . . PUNCT fis-4790 406 1 data datum NOUN fis-4790 406 2 in in ADP fis-4790 406 3 brief brief ADJ fis-4790 406 4 , , PUNCT fis-4790 406 5 45 45 NUM fis-4790 406 6 , , PUNCT fis-4790 406 7 108766 108766 NUM fis-4790 406 8 . . PUNCT fis-4790 407 1 doi doi NOUN fis-4790 407 2 : : PUNCT fis-4790 407 3 10.1016 10.1016 NUM fis-4790 407 4 / / SYM fis-4790 407 5 j.dib.2022.108766 j.dib.2022.108766 PROPN fis-4790 408 1 [ [ X fis-4790 408 2 34 34 NUM fis-4790 408 3 ] ] PUNCT fis-4790 408 4 nasiri nasiri ADV fis-4790 408 5 , , PUNCT fis-4790 408 6 h. h. PROPN fis-4790 408 7 azadi azadi PROPN fis-4790 408 8 , , PUNCT fis-4790 408 9 m. m. NOUN fis-4790 408 10 and and CCONJ fis-4790 408 11 dadashi dadashi PROPN fis-4790 408 12 , , PUNCT fis-4790 408 13 a. a. NOUN fis-4790 408 14 ( ( PUNCT fis-4790 408 15 2023 2023 NUM fis-4790 408 16 ) ) PUNCT fis-4790 408 17 . . PUNCT fis-4790 409 1 interpretable interpretable ADJ fis-4790 409 2 extreme extreme ADJ fis-4790 409 3 gradient gradient NOUN fis-4790 409 4 boosting boost VERB fis-4790 409 5 machine machine NOUN fis-4790 409 6 learning learning NOUN fis-4790 409 7 model model NOUN fis-4790 409 8 for for ADP fis-4790 409 9 fatigue fatigue NOUN fis-4790 409 10 lifetimes lifetime NOUN fis-4790 409 11 in in ADP fis-4790 409 12 3d 3d NOUN fis-4790 409 13 - - PUNCT fis-4790 409 14 printed print VERB fis-4790 409 15 polylactic polylactic ADJ fis-4790 409 16 acid acid NOUN fis-4790 409 17 biomaterials biomaterial NOUN fis-4790 409 18 . . PUNCT fis-4790 410 1 preprint preprint NOUN fis-4790 410 2 in in ADP fis-4790 410 3 ssrn ssrn NOUN fis-4790 410 4 . . PUNCT fis-4790 411 1 available available ADJ fis-4790 411 2 at at ADP fis-4790 411 3 ssrn ssrn PROPN fis-4790 411 4 4364418 4364418 NUM fis-4790 411 5 . . PUNCT fis-4790 412 1 doi doi NOUN fis-4790 412 2 : : PUNCT fis-4790 412 3 10.2139 10.2139 NUM fis-4790 412 4 / / SYM fis-4790 412 5 ssrn.4364418 ssrn.4364418 PROPN fis-4790 413 1 [ [ X fis-4790 413 2 35 35 NUM fis-4790 413 3 ] ] X fis-4790 413 4 zhu zhu PROPN fis-4790 413 5 , , PUNCT fis-4790 413 6 s. s. PROPN fis-4790 413 7 zhang zhang PROPN fis-4790 413 8 , , PUNCT fis-4790 413 9 y. y. PROPN fis-4790 413 10 chen chen PROPN fis-4790 413 11 , , PUNCT fis-4790 413 12 x. x. NOUN fis-4790 413 13 he he PRON fis-4790 413 14 , , PUNCT fis-4790 413 15 y. y. PROPN fis-4790 413 16 and and CCONJ fis-4790 413 17 xu xu PROPN fis-4790 413 18 , , PUNCT fis-4790 413 19 w. w. PROPN fis-4790 413 20 ( ( PUNCT fis-4790 413 21 2023 2023 NUM fis-4790 413 22 ) ) PUNCT fis-4790 413 23 . . PUNCT fis-4790 414 1 a a DET fis-4790 414 2 multi multi ADJ fis-4790 414 3 - - ADJ fis-4790 414 4 algorithm algorithm ADJ fis-4790 414 5 integration integration NOUN fis-4790 414 6 machine machine NOUN fis-4790 414 7 learning learn VERB fis-4790 414 8 approach approach NOUN fis-4790 414 9 for for ADP fis-4790 414 10 high high ADJ fis-4790 414 11 cycle cycle NOUN fis-4790 414 12 fatigue fatigue NOUN fis-4790 414 13 prediction prediction NOUN fis-4790 414 14 of of ADP fis-4790 414 15 a a DET fis-4790 414 16 titanium titanium NOUN fis-4790 414 17 alloy alloy NOUN fis-4790 414 18 in in ADP fis-4790 414 19 aero aero NOUN fis-4790 414 20 - - PUNCT fis-4790 414 21 engine engine NOUN fis-4790 414 22 . . PUNCT fis-4790 415 1 engineering engineering NOUN fis-4790 415 2 fracture fracture PROPN fis-4790 415 3 mechanics mechanic NOUN fis-4790 415 4 , , PUNCT fis-4790 415 5 289 289 NUM fis-4790 415 6 , , PUNCT fis-4790 415 7 109485 109485 NUM fis-4790 415 8 . . PUNCT fis-4790 416 1 doi doi NOUN fis-4790 416 2 : : PUNCT fis-4790 416 3 10.1016 10.1016 NUM fis-4790 416 4 / / SYM fis-4790 416 5 j.engfracmech.2023.109485 j.engfracmech.2023.109485 NOUN fis-4790 417 1 [ [ X fis-4790 417 2 36 36 NUM fis-4790 417 3 ] ] X fis-4790 417 4 long long ADV fis-4790 417 5 , , PUNCT fis-4790 417 6 x. x. PROPN fis-4790 417 7 lu lu PROPN fis-4790 417 8 , , PUNCT fis-4790 417 9 c. c. PROPN fis-4790 417 10 su su PROPN fis-4790 417 11 , , PUNCT fis-4790 417 12 y. y. PROPN fis-4790 417 13 and and CCONJ fis-4790 417 14 dai dai PROPN fis-4790 417 15 , , PUNCT fis-4790 417 16 y. y. PROPN fis-4790 417 17 ( ( PUNCT fis-4790 417 18 2023 2023 NUM fis-4790 417 19 ) ) PUNCT fis-4790 417 20 . . PUNCT fis-4790 418 1 machine machine NOUN fis-4790 418 2 learning learn VERB fis-4790 418 3 framework framework NOUN fis-4790 418 4 for for ADP fis-4790 418 5 predicting predict VERB fis-4790 418 6 the the DET fis-4790 418 7 low low ADJ fis-4790 418 8 cycle cycle NOUN fis-4790 418 9 fatigue fatigue NOUN fis-4790 418 10 life life NOUN fis-4790 418 11 of of ADP fis-4790 418 12 leadfree leadfree ADJ fis-4790 418 13 solders solder NOUN fis-4790 418 14 . . PUNCT fis-4790 419 1 engineering engineering NOUN fis-4790 419 2 failure failure NOUN fis-4790 419 3 analysis analysis NOUN fis-4790 419 4 , , PUNCT fis-4790 419 5 148 148 NUM fis-4790 419 6 , , PUNCT fis-4790 419 7 107228 107228 NUM fis-4790 419 8 . . PUNCT fis-4790 420 1 doi doi NOUN fis-4790 420 2 : : PUNCT fis-4790 420 3 10.1016 10.1016 NUM fis-4790 420 4 / / SYM fis-4790 420 5 j.engfailanal.2023.107228 j.engfailanal.2023.107228 PROPN fis-4790 421 1 [ [ X fis-4790 421 2 37 37 NUM fis-4790 421 3 ] ] X fis-4790 421 4 hao hao PROPN fis-4790 421 5 , , PUNCT fis-4790 421 6 w. w. PROPN fis-4790 421 7 tan tan PROPN fis-4790 421 8 , , PUNCT fis-4790 421 9 l. l. PROPN fis-4790 421 10 yang yang PROPN fis-4790 421 11 , , PUNCT fis-4790 421 12 x. x. PROPN fis-4790 421 13 shi shi PROPN fis-4790 421 14 , , PUNCT fis-4790 421 15 d. d. PROPN fis-4790 421 16 wang wang PROPN fis-4790 421 17 , , PUNCT fis-4790 421 18 m. m. NOUN fis-4790 421 19 , , PUNCT fis-4790 421 20 miao miao NOUN fis-4790 421 21 , , PUNCT fis-4790 421 22 g. g. PROPN fis-4790 421 23 and and CCONJ fis-4790 421 24 fan fan PROPN fis-4790 421 25 , , PUNCT fis-4790 421 26 y. y. PROPN fis-4790 421 27 ( ( PUNCT fis-4790 421 28 2023 2023 NUM fis-4790 421 29 ) ) PUNCT fis-4790 421 30 . . PUNCT fis-4790 422 1 a a DET fis-4790 422 2 physics physics NOUN fis-4790 422 3 - - PUNCT fis-4790 422 4 informed inform VERB fis-4790 422 5 machine machine NOUN fis-4790 422 6 learning learn VERB fis-4790 422 7 approach approach NOUN fis-4790 422 8 for for ADP fis-4790 422 9 notch notch ADJ fis-4790 422 10 fatigue fatigue NOUN fis-4790 422 11 evaluation evaluation NOUN fis-4790 422 12 of of ADP fis-4790 422 13 alloys alloy NOUN fis-4790 422 14 used use VERB fis-4790 422 15 in in ADP fis-4790 422 16 aerospace aerospace NOUN fis-4790 422 17 . . PUNCT fis-4790 423 1 international international ADJ fis-4790 423 2 journal journal PROPN fis-4790 423 3 of of ADP fis-4790 423 4 fatigue fatigue NOUN fis-4790 423 5 , , PUNCT fis-4790 423 6 170 170 NUM fis-4790 423 7 , , PUNCT fis-4790 423 8 107536 107536 NUM fis-4790 423 9 . . PUNCT fis-4790 424 1 doi doi NOUN fis-4790 424 2 : : PUNCT fis-4790 424 3 10.1016 10.1016 NUM fis-4790 424 4 / / SYM fis-4790 424 5 j.ijfatigue.2023.107536 j.ijfatigue.2023.107536 NOUN fis-4790 424 6 [ [ X fis-4790 424 7 38 38 NUM fis-4790 424 8 ] ] PUNCT fis-4790 424 9 raudys raudys NOUN fis-4790 424 10 , , PUNCT fis-4790 424 11 a. a. NOUN fis-4790 424 12 and and CCONJ fis-4790 424 13 goldstein goldstein PROPN fis-4790 424 14 , , PUNCT fis-4790 424 15 e. e. PROPN fis-4790 424 16 ( ( PUNCT fis-4790 424 17 2022 2022 NUM fis-4790 424 18 ) ) PUNCT fis-4790 424 19 . . PUNCT fis-4790 425 1 forecasting forecast VERB fis-4790 425 2 detrended detrende VERB fis-4790 425 3 volatility volatility NOUN fis-4790 425 4 risk risk NOUN fis-4790 425 5 and and CCONJ fis-4790 425 6 financial financial ADJ fis-4790 425 7 price price NOUN fis-4790 425 8 series series NOUN fis-4790 425 9 using use VERB fis-4790 425 10 lstm lstm ADJ fis-4790 425 11 neural neural ADJ fis-4790 425 12 networks network NOUN fis-4790 425 13 and and CCONJ fis-4790 425 14 xgboost xgboost ADV fis-4790 425 15 regressor regressor PROPN fis-4790 425 16 . . PUNCT fis-4790 426 1 journal journal PROPN fis-4790 426 2 of of ADP fis-4790 426 3 risk risk NOUN fis-4790 426 4 and and CCONJ fis-4790 426 5 financial financial ADJ fis-4790 426 6 management management NOUN fis-4790 426 7 , , PUNCT fis-4790 426 8 15 15 NUM fis-4790 426 9 ( ( PUNCT fis-4790 426 10 12 12 NUM fis-4790 426 11 ) ) PUNCT fis-4790 426 12 , , PUNCT fis-4790 426 13 602 602 NUM fis-4790 426 14 . . PUNCT fis-4790 427 1 doi doi NOUN fis-4790 427 2 : : PUNCT fis-4790 427 3 10.3390 10.3390 NUM fis-4790 427 4 / / SYM fis-4790 427 5 jrfm15120602 jrfm15120602 PROPN fis-4790 427 6 < < X fis-4790 427 7 < < X fis-4790 427 8 /ascii85encodepages /ascii85encodepage NOUN fis-4790 427 9 false false ADJ fis-4790 427 10 /allowtransparency /allowtransparency NOUN fis-4790 427 11 false false ADJ fis-4790 427 12 /autopositionepsfiles /autopositionepsfile NOUN fis-4790 427 13 true true ADJ fis-4790 427 14 /autorotatepages /autorotatepage NOUN fis-4790 427 15 /none /none PUNCT fis-4790 427 16 /binding /binding PUNCT fis-4790 427 17 /left /left ADJ fis-4790 428 1 /calgrayprofile /calgrayprofile VERB fis-4790 428 2 ( ( PUNCT fis-4790 428 3 dot dot NOUN fis-4790 428 4 gain gain NOUN fis-4790 428 5 20 20 NUM fis-4790 428 6 % % NOUN fis-4790 428 7 ) ) PUNCT fis-4790 428 8 /calrgbprofile /calrgbprofile PUNCT fis-4790 429 1 ( ( PUNCT fis-4790 429 2 srgb srgb PROPN fis-4790 429 3 iec61966 iec61966 NOUN fis-4790 429 4 - - PUNCT fis-4790 429 5 2.1 2.1 NUM fis-4790 429 6 ) ) PUNCT fis-4790 429 7 /calcmykprofile /calcmykprofile PUNCT fis-4790 430 1 ( ( PUNCT fis-4790 430 2 u.s u.s PROPN fis-4790 430 3 . . PROPN fis-4790 430 4 web web NOUN fis-4790 430 5 coated coat VERB fis-4790 430 6 \050swop\051 \050swop\051 ADJ fis-4790 430 7 v2 v2 NOUN fis-4790 430 8 ) ) PUNCT fis-4790 430 9 /srgbprofile /srgbprofile PUNCT fis-4790 430 10 ( ( PUNCT fis-4790 430 11 srgb srgb PROPN fis-4790 430 12 iec61966 iec61966 NOUN fis-4790 430 13 - - PUNCT fis-4790 430 14 2.1 2.1 NUM fis-4790 430 15 ) ) PUNCT fis-4790 430 16 /cannotembedfontpolicy /cannotembedfontpolicy PUNCT fis-4790 431 1 /error /error INTJ fis-4790 431 2 /compatibilitylevel /compatibilitylevel NOUN fis-4790 432 1 1.4 1.4 NUM fis-4790 432 2 /compressobjects /compressobject NOUN fis-4790 432 3 /tags /tag VERB fis-4790 432 4 /compresspages /compresspage NOUN fis-4790 432 5 true true ADJ fis-4790 432 6 /convertimagestoindexed /convertimagestoindexed ADJ fis-4790 432 7 true true ADJ fis-4790 432 8 /passthroughjpegimages /passthroughjpegimage NOUN fis-4790 432 9 true true ADJ fis-4790 432 10 /createjobticket /createjobticket NOUN fis-4790 432 11 false false ADJ fis-4790 432 12 /defaultrenderingintent /defaultrenderingintent NOUN fis-4790 432 13 /default /default PUNCT fis-4790 432 14 /detectblends /detectblend NOUN fis-4790 432 15 true true ADJ fis-4790 432 16 /detectcurves /detectcurve VERB fis-4790 433 1 0.0000 0.0000 NUM fis-4790 433 2 /colorconversionstrategy /colorconversionstrategy NOUN fis-4790 433 3 /cmyk /cmyk PUNCT fis-4790 434 1 /dothumbnails /dothumbnail VERB fis-4790 435 1 false false ADJ fis-4790 435 2 /embedallfonts /embedallfont NOUN fis-4790 435 3 true true ADJ fis-4790 435 4 /embedopentype /embedopentype PUNCT fis-4790 435 5 false false ADJ fis-4790 435 6 /parseiccprofilesincomments /parseiccprofilesincomment NOUN fis-4790 435 7 true true ADJ fis-4790 435 8 /embedjoboptions /embedjoboption NOUN fis-4790 435 9 true true ADJ fis-4790 435 10 /dscreportinglevel /dscreportinglevel NOUN fis-4790 435 11 0 0 NUM fis-4790 435 12 /emitdscwarnings /emitdscwarning NOUN fis-4790 435 13 false false ADJ fis-4790 435 14 /endpage /endpage NOUN fis-4790 435 15 -1 -1 NOUN fis-4790 435 16 /imagememory /imagememory NUM fis-4790 435 17 1048576 1048576 NUM fis-4790 435 18 /lockdistillerparams /lockdistillerparams NOUN fis-4790 435 19 false false ADJ fis-4790 435 20 /maxsubsetpct /maxsubsetpct ADJ fis-4790 435 21 100 100 NUM fis-4790 435 22 /optimize /optimize NOUN fis-4790 435 23 true true ADJ fis-4790 435 24 /opm /opm NOUN fis-4790 435 25 1 1 NUM fis-4790 435 26 /parsedsccomments /parsedsccomment NOUN fis-4790 435 27 true true ADJ fis-4790 435 28 /parsedsccommentsfordocinfo /parsedsccommentsfordocinfo VERB fis-4790 435 29 true true ADJ fis-4790 435 30 /preservecopypage /preservecopypage NOUN fis-4790 435 31 true true ADJ fis-4790 435 32 /preservedicmykvalues /preservedicmykvalue NOUN fis-4790 435 33 true true ADJ fis-4790 435 34 /preserveepsinfo /preserveepsinfo NOUN fis-4790 435 35 true true ADJ fis-4790 435 36 /preserveflatness /preserveflatness NOUN fis-4790 435 37 true true ADJ fis-4790 435 38 /preservehalftoneinfo /preservehalftoneinfo PUNCT fis-4790 435 39 false false ADJ fis-4790 435 40 /preserveopicomments /preserveopicomment NOUN fis-4790 435 41 true true ADJ fis-4790 435 42 /preserveoverprintsettings /preserveoverprintsetting NOUN fis-4790 435 43 true true ADJ fis-4790 435 44 /startpage /startpage NOUN fis-4790 435 45 1 1 NUM fis-4790 435 46 /subsetfonts /subsetfont NOUN fis-4790 435 47 true true ADJ fis-4790 435 48 /transferfunctioninfo /transferfunctioninfo PUNCT fis-4790 435 49 /apply /apply PUNCT fis-4790 435 50 /ucrandbginfo /ucrandbginfo PUNCT fis-4790 436 1 /preserve /preserve NOUN fis-4790 436 2 /useprologue /useprologue NOUN fis-4790 436 3 false false ADJ fis-4790 436 4 /colorsettingsfile /colorsettingsfile NOUN fis-4790 436 5 ( ( PUNCT fis-4790 436 6 ) ) PUNCT fis-4790 436 7 /alwaysembed /alwaysembe VERB fis-4790 436 8 [ [ PUNCT fis-4790 436 9 true true ADJ fis-4790 436 10 ] ] PUNCT fis-4790 436 11 /neverembed /neverembed PUNCT fis-4790 437 1 [ [ PUNCT fis-4790 437 2 true true ADJ fis-4790 437 3 ] ] PUNCT fis-4790 437 4 /antialiascolorimages /antialiascolorimages X fis-4790 437 5 false false ADJ fis-4790 437 6 /cropcolorimages /cropcolorimages PUNCT fis-4790 437 7 true true ADJ fis-4790 437 8 /colorimageminresolution /colorimageminresolution PUNCT fis-4790 437 9 300 300 NUM fis-4790 437 10 /colorimageminresolutionpolicy /colorimageminresolutionpolicy NOUN fis-4790 437 11 /ok /ok ADJ fis-4790 438 1 /downsamplecolorimages /downsamplecolorimage VERB fis-4790 439 1 true true ADJ fis-4790 439 2 /colorimagedownsampletype /colorimagedownsampletype PUNCT fis-4790 439 3 /bicubic /bicubic NOUN fis-4790 439 4 /colorimageresolution /colorimageresolution NOUN fis-4790 440 1 300 300 NUM fis-4790 440 2 /colorimagedepth /colorimagedepth PRON fis-4790 440 3 -1 -1 INTJ fis-4790 440 4 /colorimagemindownsampledepth /colorimagemindownsampledepth SYM fis-4790 440 5 1 1 NUM fis-4790 440 6 /colorimagedownsamplethreshold /colorimagedownsamplethreshold SYM fis-4790 440 7 1.50000 1.50000 NUM fis-4790 440 8 /encodecolorimages /encodecolorimage NOUN fis-4790 440 9 true true ADJ fis-4790 440 10 /colorimagefilter /colorimagefilter PUNCT fis-4790 440 11 /dctencode /dctencode PUNCT fis-4790 441 1 /autofiltercolorimages /autofiltercolorimage NOUN fis-4790 441 2 true true ADJ fis-4790 441 3 /colorimageautofilterstrategy /colorimageautofilterstrategy PUNCT fis-4790 441 4 /jpeg /jpeg PUNCT fis-4790 441 5 /coloracsimagedict /coloracsimagedict PUNCT fis-4790 442 1 < < X fis-4790 442 2 < < X fis-4790 442 3 /qfactor /qfactor NOUN fis-4790 442 4 0.15 0.15 NUM fis-4790 442 5 /hsamples /hsample NOUN fis-4790 443 1 [ [ X fis-4790 443 2 1 1 NUM fis-4790 443 3 1 1 NUM fis-4790 443 4 1 1 NUM fis-4790 443 5 1 1 NUM fis-4790 443 6 ] ] PUNCT fis-4790 443 7 /vsamples /vsample NOUN fis-4790 444 1 [ [ X fis-4790 444 2 1 1 NUM fis-4790 444 3 1 1 NUM fis-4790 444 4 1 1 NUM fis-4790 444 5 1 1 NUM fis-4790 444 6 ] ] PUNCT fis-4790 444 7 > > PUNCT fis-4790 444 8 > > X fis-4790 444 9 /colorimagedict /colorimagedict PUNCT fis-4790 445 1 < < X fis-4790 445 2 < < X fis-4790 445 3 /qfactor /qfactor NOUN fis-4790 445 4 0.15 0.15 NUM fis-4790 445 5 /hsamples /hsample NOUN fis-4790 446 1 [ [ X fis-4790 446 2 1 1 NUM fis-4790 446 3 1 1 NUM fis-4790 446 4 1 1 NUM fis-4790 446 5 1 1 NUM fis-4790 446 6 ] ] PUNCT fis-4790 446 7 /vsamples /vsample NOUN fis-4790 447 1 [ [ X fis-4790 447 2 1 1 NUM fis-4790 447 3 1 1 NUM fis-4790 447 4 1 1 NUM fis-4790 447 5 1 1 NUM fis-4790 447 6 ] ] PUNCT fis-4790 447 7 > > PUNCT fis-4790 447 8 > > X fis-4790 447 9 /jpeg2000coloracsimagedict /jpeg2000coloracsimagedict PUNCT fis-4790 448 1 < < X fis-4790 448 2 < < X fis-4790 448 3 /tilewidth /tilewidth PUNCT fis-4790 448 4 256 256 NUM fis-4790 448 5 /tileheight /tileheight NUM fis-4790 448 6 256 256 NUM fis-4790 448 7 /quality /quality NOUN fis-4790 448 8 30 30 NUM fis-4790 448 9 > > PUNCT fis-4790 448 10 > > X fis-4790 448 11 /jpeg2000colorimagedict /jpeg2000colorimagedict PUNCT fis-4790 448 12 < < X fis-4790 448 13 < < X fis-4790 448 14 /tilewidth /tilewidth PUNCT fis-4790 448 15 256 256 NUM fis-4790 448 16 /tileheight /tileheight NUM fis-4790 448 17 256 256 NUM fis-4790 448 18 /quality /quality NOUN fis-4790 448 19 30 30 NUM fis-4790 448 20 > > PUNCT fis-4790 448 21 > > X fis-4790 448 22 /antialiasgrayimages /antialiasgrayimages X fis-4790 448 23 false false ADJ fis-4790 448 24 /cropgrayimages /cropgrayimage NOUN fis-4790 448 25 true true ADJ fis-4790 448 26 /grayimageminresolution /grayimageminresolution ADV fis-4790 448 27 300 300 NUM fis-4790 448 28 /grayimageminresolutionpolicy /grayimageminresolutionpolicy NOUN fis-4790 448 29 /ok /ok ADJ fis-4790 448 30 /downsamplegrayimages /downsamplegrayimages PUNCT fis-4790 449 1 true true ADJ fis-4790 449 2 /grayimagedownsampletype /grayimagedownsampletype INTJ fis-4790 449 3 /bicubic /bicubic NOUN fis-4790 449 4 /grayimageresolution /grayimageresolution NOUN fis-4790 449 5 300 300 NUM fis-4790 449 6 /grayimagedepth /grayimagedepth PUNCT fis-4790 449 7 -1 -1 PUNCT fis-4790 449 8 /grayimagemindownsampledepth /grayimagemindownsampledepth PUNCT fis-4790 450 1 2 2 NUM fis-4790 450 2 /grayimagedownsamplethreshold /grayimagedownsamplethreshold NUM fis-4790 450 3 1.50000 1.50000 NUM fis-4790 450 4 /encodegrayimages /encodegrayimage NOUN fis-4790 450 5 true true ADJ fis-4790 450 6 /grayimagefilter /grayimagefilter NOUN fis-4790 450 7 /dctencode /dctencode PUNCT fis-4790 451 1 /autofiltergrayimages /autofiltergrayimages VERB fis-4790 451 2 true true ADJ fis-4790 451 3 /grayimageautofilterstrategy /grayimageautofilterstrategy INTJ fis-4790 451 4 /jpeg /jpeg PUNCT fis-4790 451 5 /grayacsimagedict /grayacsimagedict PUNCT fis-4790 452 1 < < X fis-4790 452 2 < < X fis-4790 452 3 /qfactor /qfactor NOUN fis-4790 452 4 0.15 0.15 NUM fis-4790 452 5 /hsamples /hsample NOUN fis-4790 453 1 [ [ X fis-4790 453 2 1 1 NUM fis-4790 453 3 1 1 NUM fis-4790 453 4 1 1 NUM fis-4790 453 5 1 1 NUM fis-4790 453 6 ] ] PUNCT fis-4790 453 7 /vsamples /vsample NOUN fis-4790 454 1 [ [ X fis-4790 454 2 1 1 NUM fis-4790 454 3 1 1 NUM fis-4790 454 4 1 1 NUM fis-4790 454 5 1 1 NUM fis-4790 454 6 ] ] PUNCT fis-4790 454 7 > > PUNCT fis-4790 454 8 > > X fis-4790 454 9 /grayimagedict /grayimagedict PUNCT fis-4790 455 1 < < X fis-4790 455 2 < < X fis-4790 455 3 /qfactor /qfactor NOUN fis-4790 455 4 0.15 0.15 NUM fis-4790 455 5 /hsamples /hsample NOUN fis-4790 456 1 [ [ X fis-4790 456 2 1 1 NUM fis-4790 456 3 1 1 NUM fis-4790 456 4 1 1 NUM fis-4790 456 5 1 1 NUM fis-4790 456 6 ] ] PUNCT fis-4790 456 7 /vsamples /vsample NOUN fis-4790 457 1 [ [ X fis-4790 457 2 1 1 NUM fis-4790 457 3 1 1 NUM fis-4790 457 4 1 1 NUM fis-4790 457 5 1 1 NUM fis-4790 457 6 ] ] PUNCT fis-4790 457 7 > > X fis-4790 457 8 > > X fis-4790 457 9 /jpeg2000grayacsimagedict /jpeg2000grayacsimagedict PUNCT fis-4790 458 1 < < X fis-4790 458 2 < < X fis-4790 458 3 /tilewidth /tilewidth PUNCT fis-4790 458 4 256 256 NUM fis-4790 458 5 /tileheight /tileheight NUM fis-4790 458 6 256 256 NUM fis-4790 458 7 /quality /quality NOUN fis-4790 458 8 30 30 NUM fis-4790 458 9 > > PUNCT fis-4790 458 10 > > X fis-4790 458 11 /jpeg2000grayimagedict /jpeg2000grayimagedict PUNCT fis-4790 458 12 < < X fis-4790 458 13 < < X fis-4790 458 14 /tilewidth /tilewidth PUNCT fis-4790 458 15 256 256 NUM fis-4790 458 16 /tileheight /tileheight NUM fis-4790 458 17 256 256 NUM fis-4790 458 18 /quality /quality NOUN fis-4790 458 19 30 30 NUM fis-4790 458 20 > > PUNCT fis-4790 458 21 > > X fis-4790 458 22 /antialiasmonoimages /antialiasmonoimage NOUN fis-4790 458 23 false false ADJ fis-4790 458 24 /cropmonoimages /cropmonoimage NOUN fis-4790 458 25 true true ADJ fis-4790 458 26 /monoimageminresolution /monoimageminresolution NUM fis-4790 458 27 1200 1200 NUM fis-4790 458 28 /monoimageminresolutionpolicy /monoimageminresolutionpolicy PUNCT fis-4790 459 1 /ok /ok PROPN fis-4790 459 2 /downsamplemonoimages /downsamplemonoimage VERB fis-4790 460 1 true true ADJ fis-4790 460 2 /monoimagedownsampletype /monoimagedownsampletype PUNCT fis-4790 460 3 /bicubic /bicubic NOUN fis-4790 460 4 /monoimageresolution /monoimageresolution NOUN fis-4790 460 5 1200 1200 NUM fis-4790 460 6 /monoimagedepth /monoimagedepth PRON fis-4790 460 7 -1 -1 PUNCT fis-4790 461 1 /monoimagedownsamplethreshold /monoimagedownsamplethreshold PUNCT fis-4790 461 2 1.50000 1.50000 NUM fis-4790 461 3 /encodemonoimages /encodemonoimage NOUN fis-4790 461 4 true true ADJ fis-4790 461 5 /monoimagefilter /monoimagefilter ADP fis-4790 461 6 /ccittfaxencode /ccittfaxencode INTJ fis-4790 461 7 /monoimagedict /monoimagedict PUNCT fis-4790 462 1 < < X fis-4790 462 2 < < X fis-4790 462 3 /k /k PUNCT fis-4790 462 4 -1 -1 INTJ fis-4790 462 5 > > PUNCT fis-4790 462 6 > > X fis-4790 462 7 /allowpsxobjects /allowpsxobjects PROPN fis-4790 462 8 false false ADJ fis-4790 462 9 /checkcompliance /checkcompliance NOUN fis-4790 462 10 [ [ PUNCT fis-4790 462 11 /none /none X fis-4790 462 12 ] ] PUNCT fis-4790 462 13 /pdfx1acheck /pdfx1acheck PUNCT fis-4790 462 14 false false ADJ fis-4790 462 15 /pdfx3check /pdfx3check PUNCT fis-4790 462 16 false false ADJ fis-4790 462 17 /pdfxcompliantpdfonly /pdfxcompliantpdfonly ADV fis-4790 462 18 false false ADJ fis-4790 462 19 /pdfxnotrimboxerror /pdfxnotrimboxerror NOUN fis-4790 462 20 true true ADJ fis-4790 462 21 /pdfxtrimboxtomediaboxoffset /pdfxtrimboxtomediaboxoffset NOUN fis-4790 462 22 [ [ PUNCT fis-4790 462 23 0.00000 0.00000 NUM fis-4790 462 24 0.00000 0.00000 NUM fis-4790 462 25 0.00000 0.00000 NUM fis-4790 462 26 0.00000 0.00000 NUM fis-4790 462 27 ] ] PUNCT fis-4790 462 28 /pdfxsetbleedboxtomediabox /pdfxsetbleedboxtomediabox PUNCT fis-4790 463 1 true true ADJ fis-4790 463 2 /pdfxbleedboxtotrimboxoffset /pdfxbleedboxtotrimboxoffset PUNCT fis-4790 463 3 [ [ PUNCT fis-4790 463 4 0.00000 0.00000 NUM fis-4790 463 5 0.00000 0.00000 NUM fis-4790 463 6 0.00000 0.00000 NUM fis-4790 463 7 0.00000 0.00000 NUM fis-4790 463 8 ] ] PUNCT fis-4790 463 9 /pdfxoutputintentprofile /pdfxoutputintentprofile PUNCT fis-4790 464 1 ( ( PUNCT fis-4790 464 2 ) ) PUNCT fis-4790 464 3 /pdfxoutputconditionidentifier /pdfxoutputconditionidentifi ADJ fis-4790 464 4 ( ( PUNCT fis-4790 464 5 ) ) PUNCT fis-4790 464 6 /pdfxoutputcondition /pdfxoutputcondition PRON fis-4790 464 7 ( ( PUNCT fis-4790 464 8 ) ) PUNCT fis-4790 464 9 /pdfxregistryname /pdfxregistryname PUNCT fis-4790 464 10 ( ( PUNCT fis-4790 464 11 ) ) PUNCT fis-4790 464 12 /pdfxtrapped /pdfxtrapped PUNCT fis-4790 464 13 /false /false INTJ fis-4790 465 1 /createjdffile /createjdffile INTJ fis-4790 465 2 false false ADJ fis-4790 465 3 /description /description NOUN fis-4790 466 1 < < X fis-4790 466 2 < < X fis-4790 466 3 /ara /ara PUNCT fis-4790 466 4 < < X fis-4790 466 5 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PUNCT fis-4790 492 16 ) ) PUNCT fis-4790 493 1 > > PUNCT fis-4790 493 2 > > X fis-4790 493 3 /namespace /namespace PUNCT fis-4790 494 1 [ [ PUNCT fis-4790 494 2 ( ( PUNCT fis-4790 494 3 adobe adobe PROPN fis-4790 494 4 ) ) PUNCT fis-4790 494 5 ( ( PUNCT fis-4790 494 6 common common ADJ fis-4790 494 7 ) ) PUNCT fis-4790 494 8 ( ( PUNCT fis-4790 494 9 1.0 1.0 NUM fis-4790 494 10 ) ) PUNCT fis-4790 494 11 ] ] PUNCT fis-4790 495 1 /othernamespaces /othernamespace VERB fis-4790 495 2 [ [ PUNCT fis-4790 495 3 < < X fis-4790 495 4 < < X fis-4790 495 5 /asreaderspreads /asreaderspreads X fis-4790 495 6 false false ADJ fis-4790 495 7 /cropimagestoframes /cropimagestoframe NOUN fis-4790 495 8 true true ADJ fis-4790 495 9 /errorcontrol /errorcontrol NOUN fis-4790 496 1 /warnandcontinue /warnandcontinue PUNCT fis-4790 496 2 /flattenerignorespreadoverrides /flattenerignorespreadoverride NOUN fis-4790 496 3 false false ADJ fis-4790 496 4 /includeguidesgrids /includeguidesgrid NOUN fis-4790 496 5 false false ADJ fis-4790 496 6 /includenonprinting /includenonprinting NOUN fis-4790 496 7 false false ADJ fis-4790 496 8 /includeslug /includeslug INTJ fis-4790 496 9 false false ADJ fis-4790 496 10 /namespace /namespace NOUN fis-4790 497 1 [ [ PUNCT fis-4790 497 2 ( ( PUNCT fis-4790 497 3 adobe adobe PROPN fis-4790 497 4 ) ) PUNCT fis-4790 497 5 ( ( PUNCT fis-4790 497 6 indesign indesign NOUN fis-4790 497 7 ) ) PUNCT fis-4790 497 8 ( ( PUNCT fis-4790 497 9 4.0 4.0 NUM fis-4790 497 10 ) ) PUNCT fis-4790 497 11 ] ] PUNCT fis-4790 497 12 /omitplacedbitmaps /omitplacedbitmaps PUNCT fis-4790 498 1 false false ADJ fis-4790 498 2 /omitplacedeps /omitplacedeps INTJ fis-4790 498 3 false false ADJ fis-4790 498 4 /omitplacedpdf /omitplacedpdf PUNCT fis-4790 498 5 false false ADJ fis-4790 498 6 /simulateoverprint /simulateoverprint NOUN fis-4790 498 7 /legacy /legacy PUNCT fis-4790 499 1 > > PUNCT fis-4790 499 2 > > X fis-4790 500 1 < < X fis-4790 500 2 < < X fis-4790 500 3 /addbleedmarks /addbleedmarks X fis-4790 500 4 false false ADJ fis-4790 500 5 /addcolorbars /addcolorbars INTJ fis-4790 500 6 false false ADJ fis-4790 500 7 /addcropmarks /addcropmarks PUNCT fis-4790 500 8 false false ADJ fis-4790 500 9 /addpageinfo /addpageinfo INTJ fis-4790 500 10 false false ADJ fis-4790 500 11 /addregmarks /addregmark NOUN fis-4790 500 12 false false ADJ fis-4790 500 13 /convertcolors /convertcolor NOUN fis-4790 500 14 /converttocmyk /converttocmyk INTJ fis-4790 500 15 /destinationprofilename /destinationprofilename PUNCT fis-4790 500 16 ( ( PUNCT fis-4790 500 17 ) ) PUNCT fis-4790 500 18 /destinationprofileselector /destinationprofileselector NOUN fis-4790 500 19 /documentcmyk /documentcmyk PUNCT fis-4790 500 20 /downsample16bitimages /downsample16bitimage NOUN fis-4790 500 21 true true ADJ fis-4790 500 22 /flattenerpreset /flattenerpreset PUNCT fis-4790 501 1 < < X fis-4790 501 2 < < X fis-4790 501 3 /presetselector /presetselector X fis-4790 501 4 /mediumresolution /mediumresolution NOUN fis-4790 501 5 > > PUNCT fis-4790 501 6 > > X fis-4790 501 7 /formelements /formelement NOUN fis-4790 502 1 false false ADJ fis-4790 502 2 /generatestructure /generatestructure PUNCT fis-4790 502 3 false false ADJ fis-4790 502 4 /includebookmarks /includebookmark NOUN fis-4790 502 5 false false ADJ fis-4790 502 6 /includehyperlinks /includehyperlinks INTJ fis-4790 502 7 false false ADJ fis-4790 502 8 /includeinteractive /includeinteractive ADJ fis-4790 502 9 false false ADJ fis-4790 502 10 /includelayers /includelayer NOUN fis-4790 502 11 false false ADJ fis-4790 502 12 /includeprofiles /includeprofiles INTJ fis-4790 502 13 false false ADJ fis-4790 502 14 /multimediahandling /multimediahandling NOUN fis-4790 503 1 /useobjectsettings /useobjectsettings PRON fis-4790 504 1 /namespace /namespace PUNCT fis-4790 505 1 [ [ PUNCT fis-4790 505 2 ( ( PUNCT fis-4790 505 3 adobe adobe PROPN fis-4790 505 4 ) ) PUNCT fis-4790 505 5 ( ( PUNCT fis-4790 505 6 creativesuite creativesuite NOUN fis-4790 505 7 ) ) PUNCT fis-4790 505 8 ( ( PUNCT fis-4790 505 9 2.0 2.0 NUM fis-4790 505 10 ) ) PUNCT fis-4790 505 11 ] ] PUNCT fis-4790 506 1 /pdfxoutputintentprofileselector /pdfxoutputintentprofileselector INTJ fis-4790 506 2 /documentcmyk /documentcmyk PUNCT fis-4790 507 1 /preserveediting /preserveedite VERB fis-4790 507 2 true true ADJ fis-4790 507 3 /untaggedcmykhandling /untaggedcmykhandling NOUN fis-4790 507 4 /leaveuntagged /leaveuntagge VERB fis-4790 507 5 /untaggedrgbhandling /untaggedrgbhandling NOUN fis-4790 507 6 /usedocumentprofile /usedocumentprofile INTJ fis-4790 507 7 /usedocumentbleed /usedocumentbleed NOUN fis-4790 508 1 false false ADJ fis-4790 508 2 > > PUNCT fis-4790 508 3 > > X fis-4790 508 4 ] ] PUNCT fis-4790 508 5 > > PUNCT fis-4790 508 6 > > X fis-4790 508 7 setdistillerparams setdistillerparam NOUN fis-4790 509 1 < < X fis-4790 509 2 < < X fis-4790 509 3 /hwresolution /hwresolution NOUN fis-4790 510 1 [ [ X fis-4790 510 2 2400 2400 NUM fis-4790 510 3 2400 2400 NUM fis-4790 510 4 ] ] PUNCT fis-4790 510 5 /pagesize /pagesize X fis-4790 511 1 [ [ X fis-4790 511 2 612.000 612.000 NUM fis-4790 511 3 792.000 792.000 NUM fis-4790 511 4 ] ] PUNCT fis-4790 511 5 > > PUNCT fis-4790 511 6 > > X fis-4790 511 7 setpagedevice setpagedevice PROPN