id sid tid token lemma pos alkej-882 1 1 this this PRON alkej-882 1 2 is be AUX alkej-882 1 3 an an DET alkej-882 1 4 open open ADJ alkej-882 1 5 access access NOUN alkej-882 1 6 article article NOUN alkej-882 1 7 under under ADP alkej-882 1 8 the the DET alkej-882 1 9 cc cc NOUN alkej-882 1 10 by by ADP alkej-882 1 11 license license NOUN alkej-882 1 12 : : PUNCT alkej-882 1 13 al al PROPN alkej-882 1 14 - - PUNCT alkej-882 1 15 khwarizmi khwarizmi PROPN alkej-882 1 16 engineering engineering PROPN alkej-882 1 17 journal journal PROPN alkej-882 1 18 al al PROPN alkej-882 1 19 - - PUNCT alkej-882 1 20 khwarizmi khwarizmi PROPN alkej-882 1 21 engineering engineering NOUN alkej-882 1 22 journal journal PROPN alkej-882 1 23 , , PUNCT alkej-882 1 24 vol vol NOUN alkej-882 1 25 . . PROPN alkej-882 1 26 19 19 NUM alkej-882 1 27 , , PUNCT alkej-882 1 28 no no INTJ alkej-882 1 29 . . NOUN alkej-882 1 30 4 4 NUM alkej-882 1 31 , , PUNCT alkej-882 1 32 december december PROPN alkej-882 1 33 , , PUNCT alkej-882 1 34 ( ( PUNCT alkej-882 1 35 2023 2023 NUM alkej-882 1 36 ) ) PUNCT alkej-882 2 1 p. p. NOUN alkej-882 2 2 p. p. NOUN alkej-882 2 3 6777 6777 NUM alkej-882 3 1 development development NOUN alkej-882 3 2 of of ADP alkej-882 3 3 an an DET alkej-882 3 4 ann ann PROPN alkej-882 3 5 model model NOUN alkej-882 3 6 for for ADP alkej-882 3 7 rgb rgb PROPN alkej-882 3 8 color color NOUN alkej-882 3 9 classification classification NOUN alkej-882 3 10 using use VERB alkej-882 3 11 the the DET alkej-882 3 12 dataset dataset NOUN alkej-882 3 13 extracted extract VERB alkej-882 3 14 from from ADP alkej-882 3 15 a a DET alkej-882 3 16 fabricated fabricate VERB alkej-882 3 17 colorimeter colorimeter NOUN alkej-882 3 18 shahad shahad NOUN alkej-882 3 19 a. a. NOUN alkej-882 3 20 mnati mnati PROPN alkej-882 3 21 * * PROPN alkej-882 3 22 furat furat PROPN alkej-882 3 23 i. i. PROPN alkej-882 3 24 hussein hussein PROPN alkej-882 3 25 * * PROPN alkej-882 3 26 * * PUNCT alkej-882 3 27 ahmed ahmed PROPN alkej-882 3 28 issa issa PROPN alkej-882 3 29 * * PROPN alkej-882 3 30 * * PUNCT alkej-882 3 31 * * PUNCT alkej-882 3 32 * * PUNCT alkej-882 3 33 , , PUNCT alkej-882 3 34 * * PUNCT alkej-882 3 35 * * PUNCT alkej-882 3 36 department department NOUN alkej-882 3 37 of of ADP alkej-882 3 38 mechatronics mechatronic NOUN alkej-882 3 39 engineering/ engineering/ NUM alkej-882 3 40 al al PROPN alkej-882 3 41 - - PUNCT alkej-882 3 42 khwarizmi khwarizmi PROPN alkej-882 3 43 college college PROPN alkej-882 3 44 of of ADP alkej-882 3 45 engineering/ engineering/ NUM alkej-882 3 46 university university NOUN alkej-882 3 47 of of ADP alkej-882 3 48 baghdad baghdad PROPN alkej-882 3 49 , , PUNCT alkej-882 3 50 baghdad/ baghdad/ NUM alkej-882 3 51 iraq iraq PROPN alkej-882 3 52 * * PUNCT alkej-882 3 53 * * PUNCT alkej-882 3 54 * * PUNCT alkej-882 3 55 department department NOUN alkej-882 3 56 , , PUNCT alkej-882 3 57 faculty faculty NOUN alkej-882 3 58 of of ADP alkej-882 3 59 engineering engineering NOUN alkej-882 3 60 and and CCONJ alkej-882 3 61 information information NOUN alkej-882 3 62 technology technology NOUN alkej-882 3 63 / / SYM alkej-882 3 64 mechatronics mechatronic NOUN alkej-882 3 65 and and CCONJ alkej-882 3 66 medical medical ADJ alkej-882 3 67 devices device NOUN alkej-882 3 68 engineering engineer VERB alkej-882 3 69 alazhar alazhar PROPN alkej-882 3 70 university university PROPN alkej-882 3 71 โ€“ โ€“ PUNCT alkej-882 3 72 gaza/ gaza/ NUM alkej-882 3 73 gaza gaza PROPN alkej-882 3 74 1277/ 1277/ NUM alkej-882 3 75 palestine palestine PROPN alkej-882 3 76 corresponding corresponding PROPN alkej-882 3 77 author author NOUN alkej-882 3 78 : : PUNCT alkej-882 3 79 * * PUNCT alkej-882 3 80 email email NOUN alkej-882 3 81 : : PUNCT alkej-882 3 82 shahed.ali1202a@kecbu.uobaghdad.edu.iq shahed.ali1202a@kecbu.uobaghdad.edu.iq NOUN alkej-882 3 83 * * PROPN alkej-882 3 84 * * PROPN alkej-882 3 85 email email NOUN alkej-882 3 86 : : PUNCT alkej-882 3 87 furatnejjar@uobaghdad.edu.iq furatnejjar@uobaghdad.edu.iq NOUN alkej-882 3 88 * * PROPN alkej-882 3 89 * * PUNCT alkej-882 3 90 * * NOUN alkej-882 3 91 email email NOUN alkej-882 3 92 : : PUNCT alkej-882 3 93 a.issa@alazhar.edu.ps a.issa@alazhar.edu.ps ADP alkej-882 3 94 ( ( PUNCT alkej-882 3 95 received receive VERB alkej-882 3 96 21 21 NUM alkej-882 3 97 may may PROPN alkej-882 3 98 2023 2023 NUM alkej-882 3 99 ; ; PUNCT alkej-882 3 100 accepted accept VERB alkej-882 3 101 11 11 NUM alkej-882 3 102 september september PROPN alkej-882 3 103 2023 2023 NUM alkej-882 3 104 ) ) PUNCT alkej-882 3 105 https://doi.org/10.22153/kej.2023.09.003 https://doi.org/10.22153/kej.2023.09.003 ADP alkej-882 3 106 abstract abstract ADJ alkej-882 3 107 codes code NOUN alkej-882 3 108 of of ADP alkej-882 3 109 red red ADJ alkej-882 3 110 , , PUNCT alkej-882 3 111 green green ADJ alkej-882 3 112 , , PUNCT alkej-882 3 113 and and CCONJ alkej-882 3 114 blue blue ADJ alkej-882 3 115 data datum NOUN alkej-882 3 116 ( ( PUNCT alkej-882 3 117 rgb rgb PROPN alkej-882 3 118 ) ) PUNCT alkej-882 3 119 extracted extract VERB alkej-882 3 120 from from ADP alkej-882 3 121 a a DET alkej-882 3 122 lab lab NOUN alkej-882 3 123 - - PUNCT alkej-882 3 124 fabricated fabricate VERB alkej-882 3 125 colorimeter colorimeter NOUN alkej-882 3 126 device device NOUN alkej-882 3 127 were be AUX alkej-882 3 128 used use VERB alkej-882 3 129 to to PART alkej-882 3 130 build build VERB alkej-882 3 131 a a DET alkej-882 3 132 proposed propose VERB alkej-882 3 133 classifier classifier NOUN alkej-882 3 134 with with ADP alkej-882 3 135 the the DET alkej-882 3 136 objective objective NOUN alkej-882 3 137 of of ADP alkej-882 3 138 classifying classify VERB alkej-882 3 139 colors color NOUN alkej-882 3 140 of of ADP alkej-882 3 141 objects object NOUN alkej-882 3 142 based base VERB alkej-882 3 143 on on ADP alkej-882 3 144 defined define VERB alkej-882 3 145 categories category NOUN alkej-882 3 146 of of ADP alkej-882 3 147 fundamental fundamental ADJ alkej-882 3 148 colors color NOUN alkej-882 3 149 . . PUNCT alkej-882 4 1 primary primary ADJ alkej-882 4 2 , , PUNCT alkej-882 4 3 secondary secondary ADJ alkej-882 4 4 , , PUNCT alkej-882 4 5 and and CCONJ alkej-882 4 6 tertiary tertiary ADJ alkej-882 4 7 colors color NOUN alkej-882 4 8 namely namely ADV alkej-882 4 9 red red ADJ alkej-882 4 10 , , PUNCT alkej-882 4 11 green green ADJ alkej-882 4 12 , , PUNCT alkej-882 4 13 orange orange ADJ alkej-882 4 14 , , PUNCT alkej-882 4 15 yellow yellow ADJ alkej-882 4 16 , , PUNCT alkej-882 4 17 pink pink ADJ alkej-882 4 18 , , PUNCT alkej-882 4 19 purple purple ADJ alkej-882 4 20 , , PUNCT alkej-882 4 21 blue blue ADJ alkej-882 4 22 , , PUNCT alkej-882 4 23 brown brown ADJ alkej-882 4 24 , , PUNCT alkej-882 4 25 grey grey ADJ alkej-882 4 26 , , PUNCT alkej-882 4 27 white white ADJ alkej-882 4 28 , , PUNCT alkej-882 4 29 and and CCONJ alkej-882 4 30 black black ADJ alkej-882 4 31 , , PUNCT alkej-882 4 32 were be AUX alkej-882 4 33 employed employ VERB alkej-882 4 34 in in ADP alkej-882 4 35 machine machine NOUN alkej-882 4 36 learning learning NOUN alkej-882 4 37 ( ( PUNCT alkej-882 4 38 ml ml NOUN alkej-882 4 39 ) ) PUNCT alkej-882 4 40 by by ADP alkej-882 4 41 applying apply VERB alkej-882 4 42 an an DET alkej-882 4 43 artificial artificial ADJ alkej-882 4 44 neural neural ADJ alkej-882 4 45 network network NOUN alkej-882 4 46 ( ( PUNCT alkej-882 4 47 ann ann PROPN alkej-882 4 48 ) ) PUNCT alkej-882 4 49 algorithm algorithm NOUN alkej-882 4 50 using use VERB alkej-882 4 51 python python NOUN alkej-882 4 52 . . PUNCT alkej-882 5 1 the the DET alkej-882 5 2 classifier classifier NOUN alkej-882 5 3 , , PUNCT alkej-882 5 4 which which PRON alkej-882 5 5 was be AUX alkej-882 5 6 based base VERB alkej-882 5 7 on on ADP alkej-882 5 8 the the DET alkej-882 5 9 ann ann PROPN alkej-882 5 10 algorithm algorithm NOUN alkej-882 5 11 , , PUNCT alkej-882 5 12 required require VERB alkej-882 5 13 a a DET alkej-882 5 14 definition definition NOUN alkej-882 5 15 of of ADP alkej-882 5 16 the the DET alkej-882 5 17 mentioned mention VERB alkej-882 5 18 eleven eleven NUM alkej-882 5 19 colors color NOUN alkej-882 5 20 in in ADP alkej-882 5 21 the the DET alkej-882 5 22 form form NOUN alkej-882 5 23 of of ADP alkej-882 5 24 rgb rgb PROPN alkej-882 5 25 codes code NOUN alkej-882 5 26 in in ADP alkej-882 5 27 order order NOUN alkej-882 5 28 to to PART alkej-882 5 29 acquire acquire VERB alkej-882 5 30 the the DET alkej-882 5 31 capability capability NOUN alkej-882 5 32 of of ADP alkej-882 5 33 classification classification NOUN alkej-882 5 34 . . PUNCT alkej-882 6 1 the the DET alkej-882 6 2 software software NOUN alkej-882 6 3 's 's PART alkej-882 6 4 capacity capacity NOUN alkej-882 6 5 to to PART alkej-882 6 6 forecast forecast VERB alkej-882 6 7 the the DET alkej-882 6 8 color color NOUN alkej-882 6 9 of of ADP alkej-882 6 10 the the DET alkej-882 6 11 code code NOUN alkej-882 6 12 that that PRON alkej-882 6 13 belongs belong VERB alkej-882 6 14 to to ADP alkej-882 6 15 an an DET alkej-882 6 16 object object NOUN alkej-882 6 17 under under ADP alkej-882 6 18 detection detection NOUN alkej-882 6 19 is be AUX alkej-882 6 20 one one NUM alkej-882 6 21 of of ADP alkej-882 6 22 the the DET alkej-882 6 23 results result NOUN alkej-882 6 24 of of ADP alkej-882 6 25 the the DET alkej-882 6 26 proposed propose VERB alkej-882 6 27 classifier classifier NOUN alkej-882 6 28 . . PUNCT alkej-882 7 1 the the DET alkej-882 7 2 work work NOUN alkej-882 7 3 demanded demand VERB alkej-882 7 4 the the DET alkej-882 7 5 collection collection NOUN alkej-882 7 6 of of ADP alkej-882 7 7 about about ADV alkej-882 7 8 5000 5000 NUM alkej-882 7 9 color color NOUN alkej-882 7 10 codes code NOUN alkej-882 7 11 which which PRON alkej-882 7 12 in in ADP alkej-882 7 13 turn turn NOUN alkej-882 7 14 were be AUX alkej-882 7 15 subjected subject VERB alkej-882 7 16 to to ADP alkej-882 7 17 algorithms algorithm NOUN alkej-882 7 18 for for ADP alkej-882 7 19 training training NOUN alkej-882 7 20 and and CCONJ alkej-882 7 21 testing testing NOUN alkej-882 7 22 . . PUNCT alkej-882 8 1 the the DET alkej-882 8 2 open open ADJ alkej-882 8 3 - - PUNCT alkej-882 8 4 source source NOUN alkej-882 8 5 platform platform NOUN alkej-882 8 6 tensorflow tensorflow NOUN alkej-882 8 7 for for ADP alkej-882 8 8 ml ml NOUN alkej-882 8 9 and and CCONJ alkej-882 8 10 the the DET alkej-882 8 11 open open ADJ alkej-882 8 12 - - PUNCT alkej-882 8 13 source source NOUN alkej-882 8 14 neural neural ADJ alkej-882 8 15 network network NOUN alkej-882 8 16 library library PROPN alkej-882 8 17 keras keras PROPN alkej-882 8 18 were be AUX alkej-882 8 19 used use VERB alkej-882 8 20 to to PART alkej-882 8 21 construct construct VERB alkej-882 8 22 the the DET alkej-882 8 23 algorithm algorithm NOUN alkej-882 8 24 for for ADP alkej-882 8 25 the the DET alkej-882 8 26 study study NOUN alkej-882 8 27 . . PUNCT alkej-882 9 1 the the DET alkej-882 9 2 results result NOUN alkej-882 9 3 showed show VERB alkej-882 9 4 an an DET alkej-882 9 5 acceptable acceptable ADJ alkej-882 9 6 efficiency efficiency NOUN alkej-882 9 7 of of ADP alkej-882 9 8 the the DET alkej-882 9 9 built build VERB alkej-882 9 10 classifier classifier NOUN alkej-882 9 11 represented represent VERB alkej-882 9 12 by by ADP alkej-882 9 13 an an DET alkej-882 9 14 accuracy accuracy NOUN alkej-882 9 15 of of ADP alkej-882 9 16 90 90 NUM alkej-882 9 17 % % NOUN alkej-882 9 18 which which PRON alkej-882 9 19 can can AUX alkej-882 9 20 be be AUX alkej-882 9 21 considered consider VERB alkej-882 9 22 applicable applicable ADJ alkej-882 9 23 , , PUNCT alkej-882 9 24 especially especially ADV alkej-882 9 25 after after SCONJ alkej-882 9 26 some some DET alkej-882 9 27 improvements improvement NOUN alkej-882 9 28 in in ADP alkej-882 9 29 the the DET alkej-882 9 30 future future NOUN alkej-882 9 31 to to PART alkej-882 9 32 makes make VERB alkej-882 9 33 it it PRON alkej-882 9 34 more more ADV alkej-882 9 35 effective effective ADJ alkej-882 9 36 as as ADP alkej-882 9 37 a a DET alkej-882 9 38 trusted trust VERB alkej-882 9 39 colorimeter colorimeter NOUN alkej-882 9 40 . . PUNCT alkej-882 10 1 keywords keyword NOUN alkej-882 10 2 : : PUNCT alkej-882 10 3 colorimeter colorimeter NOUN alkej-882 10 4 , , PUNCT alkej-882 10 5 rgb rgb PROPN alkej-882 10 6 classifier classifier PROPN alkej-882 10 7 , , PUNCT alkej-882 10 8 ann ann PROPN alkej-882 10 9 , , PUNCT alkej-882 10 10 tensorflow tensorflow NOUN alkej-882 10 11 , , PUNCT alkej-882 10 12 ml ml NOUN alkej-882 10 13 . . NOUN alkej-882 10 14 1 1 X alkej-882 10 15 . . X alkej-882 10 16 introduction introduction NOUN alkej-882 10 17 advanced advanced ADJ alkej-882 10 18 methods method NOUN alkej-882 10 19 like like ADP alkej-882 10 20 ml ml NOUN alkej-882 10 21 algorithms algorithm NOUN alkej-882 10 22 can can AUX alkej-882 10 23 be be AUX alkej-882 10 24 employed employ VERB alkej-882 10 25 to to PART alkej-882 10 26 address address VERB alkej-882 10 27 the the DET alkej-882 10 28 color color NOUN alkej-882 10 29 classification classification NOUN alkej-882 10 30 issue issue NOUN alkej-882 10 31 . . PUNCT alkej-882 11 1 neural neural ADJ alkej-882 11 2 network network NOUN alkej-882 11 3 methods method NOUN alkej-882 11 4 are be AUX alkej-882 11 5 replacing replace VERB alkej-882 11 6 older old ADJ alkej-882 11 7 statistical statistical ADJ alkej-882 11 8 methods method NOUN alkej-882 11 9 and and CCONJ alkej-882 11 10 algorithms algorithm NOUN alkej-882 11 11 in in ADP alkej-882 11 12 the the DET alkej-882 11 13 field field NOUN alkej-882 11 14 of of ADP alkej-882 11 15 machine machine NOUN alkej-882 11 16 vision vision NOUN alkej-882 11 17 . . PUNCT alkej-882 12 1 due due ADP alkej-882 12 2 to to ADP alkej-882 12 3 weak weak ADJ alkej-882 12 4 planning planning NOUN alkej-882 12 5 , , PUNCT alkej-882 12 6 the the DET alkej-882 12 7 latter latter ADJ alkej-882 12 8 encounters encounter VERB alkej-882 12 9 numerous numerous ADJ alkej-882 12 10 challenges challenge NOUN alkej-882 12 11 that that PRON alkej-882 12 12 raise raise VERB alkej-882 12 13 obstacles obstacle NOUN alkej-882 12 14 when when SCONJ alkej-882 12 15 developing develop VERB alkej-882 12 16 an an DET alkej-882 12 17 ml ml NOUN alkej-882 12 18 model model NOUN alkej-882 12 19 for for ADP alkej-882 12 20 the the DET alkej-882 12 21 computer computer NOUN alkej-882 12 22 vision vision NOUN alkej-882 12 23 system system NOUN alkej-882 12 24 . . PUNCT alkej-882 13 1 executives executive NOUN alkej-882 13 2 frequently frequently ADV alkej-882 13 3 set set VERB alkej-882 13 4 challenging challenging ADJ alkej-882 13 5 goals goal NOUN alkej-882 13 6 for for ADP alkej-882 13 7 the the DET alkej-882 13 8 data data PROPN alkej-882 13 9 science science NOUN alkej-882 13 10 team team NOUN alkej-882 13 11 during during ADP alkej-882 13 12 the the DET alkej-882 13 13 planning planning NOUN alkej-882 13 14 process process NOUN alkej-882 13 15 . . PUNCT alkej-882 14 1 neural neural ADJ alkej-882 14 2 network network NOUN alkej-882 14 3 techniques technique NOUN alkej-882 14 4 , , PUNCT alkej-882 14 5 as as SCONJ alkej-882 14 6 opposed oppose VERB alkej-882 14 7 to to ADP alkej-882 14 8 conventional conventional ADJ alkej-882 14 9 algorithms algorithm NOUN alkej-882 14 10 , , PUNCT alkej-882 14 11 are be AUX alkej-882 14 12 typically typically ADV alkej-882 14 13 quite quite ADV alkej-882 14 14 beneficial beneficial ADJ alkej-882 14 15 for for ADP alkej-882 14 16 certain certain ADJ alkej-882 14 17 challenges challenge NOUN alkej-882 14 18 [ [ X alkej-882 14 19 1 1 NUM alkej-882 14 20 ] ] PUNCT alkej-882 14 21 . . PUNCT alkej-882 15 1 one one NUM alkej-882 15 2 of of ADP alkej-882 15 3 the the DET alkej-882 15 4 simplest simple ADJ alkej-882 15 5 non non ADJ alkej-882 15 6 - - ADJ alkej-882 15 7 parametric parametric ADJ alkej-882 15 8 methods method NOUN alkej-882 15 9 of of ADP alkej-882 15 10 color color NOUN alkej-882 15 11 recognition recognition NOUN alkej-882 15 12 is be AUX alkej-882 15 13 color color NOUN alkej-882 15 14 categorization categorization NOUN alkej-882 15 15 , , PUNCT alkej-882 15 16 utilizing utilize VERB alkej-882 15 17 the the DET alkej-882 15 18 k k NOUN alkej-882 15 19 - - PUNCT alkej-882 15 20 nearest near ADJ alkej-882 15 21 neighbors neighbor NOUN alkej-882 15 22 ( ( PUNCT alkej-882 15 23 knn knn PROPN alkej-882 15 24 ) ) PUNCT alkej-882 15 25 algorithm algorithm NOUN alkej-882 15 26 with with ADP alkej-882 15 27 feature feature NOUN alkej-882 15 28 extraction extraction NOUN alkej-882 15 29 . . PUNCT alkej-882 16 1 most most ADJ alkej-882 16 2 real real ADJ alkej-882 16 3 - - PUNCT alkej-882 16 4 world world NOUN alkej-882 16 5 datasets dataset NOUN alkej-882 16 6 do do AUX alkej-882 16 7 not not PART alkej-882 16 8 conform conform VERB alkej-882 16 9 to to ADP alkej-882 16 10 mathematical mathematical ADJ alkej-882 16 11 theoretical theoretical ADJ alkej-882 16 12 assumptions assumption NOUN alkej-882 16 13 and and CCONJ alkej-882 16 14 this this PRON alkej-882 16 15 will will AUX alkej-882 16 16 be be AUX alkej-882 16 17 very very ADV alkej-882 16 18 useful useful ADJ alkej-882 16 19 in in ADP alkej-882 16 20 practice practice NOUN alkej-882 16 21 . . PUNCT alkej-882 17 1 classification classification NOUN alkej-882 17 2 is be AUX alkej-882 17 3 widely widely ADV alkej-882 17 4 regarded regard VERB alkej-882 17 5 as as ADP alkej-882 17 6 one one NUM alkej-882 17 7 of of ADP alkej-882 17 8 the the DET alkej-882 17 9 most most ADV alkej-882 17 10 extensively extensively ADV alkej-882 17 11 studied study VERB alkej-882 17 12 problems problem NOUN alkej-882 17 13 within within ADP alkej-882 17 14 the the DET alkej-882 17 15 domains domain NOUN alkej-882 17 16 of of ADP alkej-882 17 17 ml ml NOUN alkej-882 17 18 and and CCONJ alkej-882 17 19 data datum NOUN alkej-882 17 20 mining mining NOUN alkej-882 17 21 . . PUNCT alkej-882 18 1 despite despite SCONJ alkej-882 18 2 its its PRON alkej-882 18 3 wellestablished wellestablished ADJ alkej-882 18 4 status status NOUN alkej-882 18 5 in in ADP alkej-882 18 6 the the DET alkej-882 18 7 field field NOUN alkej-882 18 8 of of ADP alkej-882 18 9 ml ml NOUN alkej-882 18 10 , , PUNCT alkej-882 18 11 classification classification NOUN alkej-882 18 12 encounters encounter VERB alkej-882 18 13 challenges challenge NOUN alkej-882 18 14 such such ADJ alkej-882 18 15 as as ADP alkej-882 18 16 effectively effectively ADV alkej-882 18 17 managing manage VERB alkej-882 18 18 missing miss VERB alkej-882 18 19 data datum NOUN alkej-882 18 20 [ [ X alkej-882 18 21 2 2 NUM alkej-882 18 22 ] ] PUNCT alkej-882 18 23 . . PUNCT alkej-882 19 1 the the DET alkej-882 19 2 k k ADJ alkej-882 19 3 - - ADJ alkej-882 19 4 mean mean ADJ alkej-882 19 5 algorithm algorithm NOUN alkej-882 19 6 mailto:shahed.ali1202a@kecbu.uobaghdad.edu.iq mailto:shahed.ali1202a@kecbu.uobaghdad.edu.iq NOUN alkej-882 19 7 mailto:furatnejjar@uobaghdad.edu.iq mailto:furatnejjar@uobaghdad.edu.iq NOUN alkej-882 19 8 mailto:a.issa@alazhar.edu.ps mailto:a.issa@alazhar.edu.ps PROPN alkej-882 19 9 https://doi.org/10.22153/kej.2023.09.003 https://doi.org/10.22153/kej.2023.09.003 X alkej-882 19 10 shahad shahad NOUN alkej-882 19 11 a. a. PROPN alkej-882 19 12 mnati mnati PROPN alkej-882 19 13 al al PROPN alkej-882 19 14 - - PUNCT alkej-882 19 15 khwarizmi khwarizmi PROPN alkej-882 19 16 engineering engineering NOUN alkej-882 19 17 journal journal PROPN alkej-882 19 18 , , PUNCT alkej-882 19 19 vol vol NOUN alkej-882 19 20 . . PROPN alkej-882 19 21 19 19 NUM alkej-882 19 22 , , PUNCT alkej-882 19 23 no no INTJ alkej-882 19 24 . . NOUN alkej-882 19 25 4 4 NUM alkej-882 19 26 , , PUNCT alkej-882 19 27 p.p p.p PROPN alkej-882 19 28 . . PROPN alkej-882 19 29 6777 6777 NUM alkej-882 19 30 ( ( PUNCT alkej-882 19 31 2023 2023 NUM alkej-882 19 32 ) ) PUNCT alkej-882 19 33 68 68 NUM alkej-882 19 34 is be AUX alkej-882 19 35 another another DET alkej-882 19 36 well well ADV alkej-882 19 37 - - PUNCT alkej-882 19 38 known know VERB alkej-882 19 39 ml ml NOUN alkej-882 19 40 approach approach NOUN alkej-882 19 41 that that PRON alkej-882 19 42 can can AUX alkej-882 19 43 be be AUX alkej-882 19 44 used use VERB alkej-882 19 45 to to PART alkej-882 19 46 extract extract VERB alkej-882 19 47 colors color NOUN alkej-882 19 48 from from ADP alkej-882 19 49 photographs photograph NOUN alkej-882 19 50 and and CCONJ alkej-882 19 51 categorize categorize VERB alkej-882 19 52 each each DET alkej-882 19 53 image image NOUN alkej-882 19 54 from from ADP alkej-882 19 55 a a DET alkej-882 19 56 collection collection NOUN alkej-882 19 57 of of ADP alkej-882 19 58 images image NOUN alkej-882 19 59 based base VERB alkej-882 19 60 on on ADP alkej-882 19 61 color color NOUN alkej-882 19 62 space space NOUN alkej-882 19 63 values value NOUN alkej-882 19 64 . . PUNCT alkej-882 20 1 any any DET alkej-882 20 2 color color NOUN alkej-882 20 3 space space NOUN alkej-882 20 4 can can AUX alkej-882 20 5 be be AUX alkej-882 20 6 utilized utilize VERB alkej-882 20 7 such such ADJ alkej-882 20 8 as as ADP alkej-882 20 9 rgb rgb PROPN alkej-882 20 10 , , PUNCT alkej-882 20 11 cymk cymk PROPN alkej-882 20 12 , , PUNCT alkej-882 20 13 hsv hsv PROPN alkej-882 20 14 , , PUNCT alkej-882 20 15 etc etc X alkej-882 20 16 . . X alkej-882 21 1 [ [ X alkej-882 21 2 3 3 NUM alkej-882 21 3 ] ] PUNCT alkej-882 21 4 . . PUNCT alkej-882 22 1 kusumo kusumo PROPN alkej-882 22 2 b.s b.s PROPN alkej-882 22 3 . . PROPN alkej-882 22 4 et et PROPN alkej-882 22 5 al al PROPN alkej-882 22 6 . . PUNCT alkej-882 23 1 [ [ X alkej-882 23 2 4 4 X alkej-882 23 3 ] ] PUNCT alkej-882 23 4 used use VERB alkej-882 23 5 rgb rgb PROPN alkej-882 23 6 image image NOUN alkej-882 23 7 processing processing NOUN alkej-882 23 8 properties property NOUN alkej-882 23 9 in in ADP alkej-882 23 10 classifying classify VERB alkej-882 23 11 corn corn NOUN alkej-882 23 12 diseases disease NOUN alkej-882 23 13 , , PUNCT alkej-882 23 14 which which PRON alkej-882 23 15 are be AUX alkej-882 23 16 one one NUM alkej-882 23 17 of of ADP alkej-882 23 18 indonesia indonesia PROPN alkej-882 23 19 's 's PART alkej-882 23 20 most most ADV alkej-882 23 21 significant significant ADJ alkej-882 23 22 crops crop NOUN alkej-882 23 23 . . PUNCT alkej-882 24 1 oriented orient VERB alkej-882 24 2 fast fast ADV alkej-882 24 3 and and CCONJ alkej-882 24 4 rotated rotate VERB alkej-882 24 5 brief brief ADJ alkej-882 24 6 ( ( PUNCT alkej-882 24 7 orb orb PROPN alkej-882 24 8 ) ) PUNCT alkej-882 24 9 , , PUNCT alkej-882 24 10 scale scale NOUN alkej-882 24 11 - - PUNCT alkej-882 24 12 invariant invariant ADJ alkej-882 24 13 feature feature NOUN alkej-882 24 14 transform transform NOUN alkej-882 24 15 ( ( PUNCT alkej-882 24 16 sift sift NOUN alkej-882 24 17 ) ) PUNCT alkej-882 24 18 , , PUNCT alkej-882 24 19 and and CCONJ alkej-882 24 20 speeded speed VERB alkej-882 24 21 - - PUNCT alkej-882 24 22 up up ADP alkej-882 24 23 robust robust ADJ alkej-882 24 24 features feature NOUN alkej-882 24 25 were be AUX alkej-882 24 26 used use VERB alkej-882 24 27 to to PART alkej-882 24 28 extract extract VERB alkej-882 24 29 the the DET alkej-882 24 30 features feature NOUN alkej-882 24 31 ( ( PUNCT alkej-882 24 32 surf surf NOUN alkej-882 24 33 ) ) PUNCT alkej-882 24 34 . . PUNCT alkej-882 25 1 the the DET alkej-882 25 2 categorization categorization NOUN alkej-882 25 3 was be AUX alkej-882 25 4 performed perform VERB alkej-882 25 5 using use VERB alkej-882 25 6 decision decision NOUN alkej-882 25 7 tree tree NOUN alkej-882 25 8 ( ( PUNCT alkej-882 25 9 dt dt PROPN alkej-882 25 10 ) ) PUNCT alkej-882 25 11 , , PUNCT alkej-882 25 12 naive naive ADJ alkej-882 25 13 bayes bayes NOUN alkej-882 25 14 ( ( PUNCT alkej-882 25 15 nb nb PROPN alkej-882 25 16 ) ) PUNCT alkej-882 25 17 , , PUNCT alkej-882 25 18 support support VERB alkej-882 25 19 vector vector NOUN alkej-882 25 20 machines machine NOUN alkej-882 25 21 ( ( PUNCT alkej-882 25 22 svm svm PROPN alkej-882 25 23 ) ) PUNCT alkej-882 25 24 , , PUNCT alkej-882 25 25 and and CCONJ alkej-882 25 26 random random ADJ alkej-882 25 27 forest forest NOUN alkej-882 25 28 ( ( PUNCT alkej-882 25 29 rf rf NOUN alkej-882 25 30 ) ) PUNCT alkej-882 25 31 . . PUNCT alkej-882 26 1 behera behera PROPN alkej-882 26 2 s.k s.k PROPN alkej-882 26 3 . . PROPN alkej-882 26 4 et et PROPN alkej-882 26 5 al al PROPN alkej-882 26 6 . . PUNCT alkej-882 27 1 [ [ X alkej-882 27 2 5 5 NUM alkej-882 27 3 ] ] PUNCT alkej-882 27 4 have have AUX alkej-882 27 5 classified classify VERB alkej-882 27 6 disease disease NOUN alkej-882 27 7 and and CCONJ alkej-882 27 8 the the DET alkej-882 27 9 severity severity NOUN alkej-882 27 10 of of ADP alkej-882 27 11 disease disease NOUN alkej-882 27 12 in in ADP alkej-882 27 13 oranges orange NOUN alkej-882 27 14 using use VERB alkej-882 27 15 the the DET alkej-882 27 16 svm svm ADJ alkej-882 27 17 algorithm algorithm NOUN alkej-882 27 18 with with ADP alkej-882 27 19 the the DET alkej-882 27 20 assistance assistance NOUN alkej-882 27 21 of of ADP alkej-882 27 22 the the DET alkej-882 27 23 k k NOUN alkej-882 27 24 - - ADJ alkej-882 27 25 mean mean ADJ alkej-882 27 26 clustering clustering ADJ alkej-882 27 27 approach approach NOUN alkej-882 27 28 and and CCONJ alkej-882 27 29 fuzzy fuzzy ADJ alkej-882 27 30 logic logic NOUN alkej-882 27 31 . . PUNCT alkej-882 28 1 the the DET alkej-882 28 2 suggested suggest VERB alkej-882 28 3 framework framework NOUN alkej-882 28 4 demonstrated demonstrate VERB alkej-882 28 5 an an DET alkej-882 28 6 accuracy accuracy NOUN alkej-882 28 7 of of ADP alkej-882 28 8 90 90 NUM alkej-882 28 9 % % NOUN alkej-882 28 10 in in ADP alkej-882 28 11 illness illness NOUN alkej-882 28 12 categorization categorization NOUN alkej-882 28 13 and and CCONJ alkej-882 28 14 severity severity NOUN alkej-882 28 15 assessments assessment NOUN alkej-882 28 16 . . PUNCT alkej-882 29 1 kumari kumari PROPN alkej-882 29 2 , , PUNCT alkej-882 29 3 r. r. PROPN alkej-882 29 4 s. s. PROPN alkej-882 29 5 s. s. PROPN alkej-882 29 6 et et PROPN alkej-882 29 7 al al PROPN alkej-882 29 8 . . PUNCT alkej-882 30 1 [ [ X alkej-882 30 2 6 6 NUM alkej-882 30 3 ] ] PUNCT alkej-882 30 4 attempted attempt VERB alkej-882 30 5 a a DET alkej-882 30 6 traditional traditional ADJ alkej-882 30 7 method method NOUN alkej-882 30 8 of of ADP alkej-882 30 9 classifying classify VERB alkej-882 30 10 fruit fruit NOUN alkej-882 30 11 that that PRON alkej-882 30 12 relies rely VERB alkej-882 30 13 on on ADP alkej-882 30 14 manual manual ADJ alkej-882 30 15 operations operation NOUN alkej-882 30 16 and and CCONJ alkej-882 30 17 visual visual ADJ alkej-882 30 18 acuity acuity NOUN alkej-882 30 19 . . PUNCT alkej-882 31 1 the the DET alkej-882 31 2 svm svm PROPN alkej-882 31 3 classifiers classifier NOUN alkej-882 31 4 classify classify VERB alkej-882 31 5 based base VERB alkej-882 31 6 on on ADP alkej-882 31 7 statistical statistical ADJ alkej-882 31 8 and and CCONJ alkej-882 31 9 co co NOUN alkej-882 31 10 - - NOUN alkej-882 31 11 occurrence occurrence ADJ alkej-882 31 12 features feature NOUN alkej-882 31 13 derived derive VERB alkej-882 31 14 from from ADP alkej-882 31 15 the the DET alkej-882 31 16 wavelet wavelet NOUN alkej-882 31 17 transform transform NOUN alkej-882 31 18 . . PUNCT alkej-882 32 1 the the DET alkej-882 32 2 accuracy accuracy NOUN alkej-882 32 3 of of ADP alkej-882 32 4 classification classification NOUN alkej-882 32 5 for for ADP alkej-882 32 6 the the DET alkej-882 32 7 proposed propose VERB alkej-882 32 8 system system NOUN alkej-882 32 9 is be AUX alkej-882 32 10 95.3 95.3 NUM alkej-882 32 11 % % NOUN alkej-882 32 12 . . PUNCT alkej-882 33 1 panigrahi panigrahi NOUN alkej-882 33 2 , , PUNCT alkej-882 33 3 k.p k.p PROPN alkej-882 33 4 . . PROPN alkej-882 33 5 et et PROPN alkej-882 33 6 al al PROPN alkej-882 33 7 . . PUNCT alkej-882 34 1 [ [ X alkej-882 34 2 7 7 X alkej-882 34 3 ] ] PUNCT alkej-882 34 4 proposed propose VERB alkej-882 34 5 machine machine NOUN alkej-882 34 6 learning learning NOUN alkej-882 34 7 methods method NOUN alkej-882 34 8 such such ADJ alkej-882 34 9 as as ADP alkej-882 34 10 decision decision NOUN alkej-882 34 11 tree tree NOUN alkej-882 34 12 ( ( PUNCT alkej-882 34 13 dt dt PROPN alkej-882 34 14 ) ) PUNCT alkej-882 34 15 , , PUNCT alkej-882 34 16 random random ADJ alkej-882 34 17 forest forest NOUN alkej-882 34 18 ( ( PUNCT alkej-882 34 19 rf rf NOUN alkej-882 34 20 ) ) PUNCT alkej-882 34 21 , , PUNCT alkej-882 34 22 support support NOUN alkej-882 34 23 vector vector NOUN alkej-882 34 24 machine machine NOUN alkej-882 34 25 ( ( PUNCT alkej-882 34 26 svm svm PROPN alkej-882 34 27 ) ) PUNCT alkej-882 34 28 , , PUNCT alkej-882 34 29 naive naive ADJ alkej-882 34 30 bayes bayes NOUN alkej-882 34 31 ( ( PUNCT alkej-882 34 32 nb nb NOUN alkej-882 34 33 ) ) PUNCT alkej-882 34 34 , , PUNCT alkej-882 34 35 and and CCONJ alkej-882 34 36 k k X alkej-882 34 37 - - PUNCT alkej-882 34 38 nearest near ADJ alkej-882 34 39 neighbor neighbor NOUN alkej-882 34 40 ( ( PUNCT alkej-882 34 41 knn knn PROPN alkej-882 34 42 ) ) PUNCT alkej-882 34 43 to to PART alkej-882 34 44 be be AUX alkej-882 34 45 used use VERB alkej-882 34 46 to to PART alkej-882 34 47 diagnose diagnose VERB alkej-882 34 48 crop crop NOUN alkej-882 34 49 diseases disease NOUN alkej-882 34 50 using use VERB alkej-882 34 51 plant plant NOUN alkej-882 34 52 images image NOUN alkej-882 34 53 . . PUNCT alkej-882 35 1 when when SCONJ alkej-882 35 2 compared compare VERB alkej-882 35 3 to to ADP alkej-882 35 4 other other ADJ alkej-882 35 5 classification classification NOUN alkej-882 35 6 algorithms algorithm NOUN alkej-882 35 7 , , PUNCT alkej-882 35 8 the the DET alkej-882 35 9 rf rf ADJ alkej-882 35 10 algorithm algorithm NOUN alkej-882 35 11 obtains obtain VERB alkej-882 35 12 the the DET alkej-882 35 13 highest high ADJ alkej-882 35 14 accuracy accuracy NOUN alkej-882 35 15 of of ADP alkej-882 35 16 79.23 79.23 NUM alkej-882 35 17 % % NOUN alkej-882 35 18 . . PUNCT alkej-882 36 1 hameed hameed PROPN alkej-882 36 2 , , PUNCT alkej-882 36 3 n. n. PROPN alkej-882 36 4 et et PROPN alkej-882 36 5 al al PROPN alkej-882 36 6 . . PUNCT alkej-882 37 1 [ [ X alkej-882 37 2 8 8 NUM alkej-882 37 3 ] ] PUNCT alkej-882 37 4 followed follow VERB alkej-882 37 5 a a DET alkej-882 37 6 method method NOUN alkej-882 37 7 of of ADP alkej-882 37 8 intelligent intelligent ADJ alkej-882 37 9 digital digital ADJ alkej-882 37 10 diagnosis diagnosis NOUN alkej-882 37 11 that that PRON alkej-882 37 12 improved improve VERB alkej-882 37 13 the the DET alkej-882 37 14 classification classification NOUN alkej-882 37 15 precision precision NOUN alkej-882 37 16 of of ADP alkej-882 37 17 multiple multiple ADJ alkej-882 37 18 diseases disease NOUN alkej-882 37 19 . . PUNCT alkej-882 38 1 the the DET alkej-882 38 2 diagnostic diagnostic ADJ alkej-882 38 3 accuracy accuracy NOUN alkej-882 38 4 is be AUX alkej-882 38 5 96.47 96.47 NUM alkej-882 38 6 % % NOUN alkej-882 38 7 using use VERB alkej-882 38 8 a a DET alkej-882 38 9 multi multi ADJ alkej-882 38 10 - - ADJ alkej-882 38 11 class class ADJ alkej-882 38 12 multi multi NOUN alkej-882 38 13 - - NOUN alkej-882 38 14 level level ADJ alkej-882 38 15 ( ( PUNCT alkej-882 38 16 mcml mcml ADJ alkej-882 38 17 ) ) PUNCT alkej-882 38 18 classification classification NOUN alkej-882 38 19 algorithm algorithm NOUN alkej-882 38 20 evaluated evaluate VERB alkej-882 38 21 on on ADP alkej-882 38 22 3672 3672 NUM alkej-882 38 23 classified classified ADJ alkej-882 38 24 images image NOUN alkej-882 38 25 collected collect VERB alkej-882 38 26 from from ADP alkej-882 38 27 various various ADJ alkej-882 38 28 sources source NOUN alkej-882 38 29 . . PUNCT alkej-882 39 1 nagata nagata PROPN alkej-882 39 2 , , PUNCT alkej-882 39 3 t. t. PROPN alkej-882 39 4 et et PROPN alkej-882 39 5 al al PROPN alkej-882 39 6 . . PUNCT alkej-882 40 1 [ [ X alkej-882 40 2 9 9 NUM alkej-882 40 3 ] ] X alkej-882 40 4 classified classify VERB alkej-882 40 5 skin skin NOUN alkej-882 40 6 tears tear NOUN alkej-882 40 7 using use VERB alkej-882 40 8 a a DET alkej-882 40 9 machine machine NOUN alkej-882 40 10 learning learning NOUN alkej-882 40 11 method method NOUN alkej-882 40 12 to to PART alkej-882 40 13 identify identify VERB alkej-882 40 14 the the DET alkej-882 40 15 skin skin NOUN alkej-882 40 16 layers layer NOUN alkej-882 40 17 using use VERB alkej-882 40 18 digital digital ADJ alkej-882 40 19 rgb rgb PROPN alkej-882 40 20 color color NOUN alkej-882 40 21 and and CCONJ alkej-882 40 22 subsequently subsequently ADV alkej-882 40 23 treat treat VERB alkej-882 40 24 the the DET alkej-882 40 25 wound wound NOUN alkej-882 40 26 . . PUNCT alkej-882 41 1 the the DET alkej-882 41 2 determination determination NOUN alkej-882 41 3 of of ADP alkej-882 41 4 the the DET alkej-882 41 5 wound wound NOUN alkej-882 41 6 layer layer NOUN alkej-882 41 7 showed show VERB alkej-882 41 8 an an DET alkej-882 41 9 accuracy accuracy NOUN alkej-882 41 10 of of ADP alkej-882 41 11 74 74 NUM alkej-882 41 12 % % NOUN alkej-882 41 13 and and CCONJ alkej-882 41 14 71 71 NUM alkej-882 41 15 % % NOUN alkej-882 41 16 for for ADP alkej-882 41 17 the the DET alkej-882 41 18 svm svm PROPN alkej-882 41 19 and and CCONJ alkej-882 41 20 rf rf NOUN alkej-882 41 21 respectively respectively ADV alkej-882 41 22 . . PUNCT alkej-882 42 1 the the DET alkej-882 42 2 aim aim NOUN alkej-882 42 3 of of ADP alkej-882 42 4 the the DET alkej-882 42 5 current current ADJ alkej-882 42 6 study study NOUN alkej-882 42 7 is be AUX alkej-882 42 8 to to PART alkej-882 42 9 employ employ VERB alkej-882 42 10 the the DET alkej-882 42 11 ann ann PROPN alkej-882 42 12 algorithm algorithm NOUN alkej-882 42 13 in in ADP alkej-882 42 14 order order NOUN alkej-882 42 15 to to PART alkej-882 42 16 build build VERB alkej-882 42 17 an an DET alkej-882 42 18 ml ml NOUN alkej-882 42 19 model model NOUN alkej-882 42 20 that that PRON alkej-882 42 21 acts act VERB alkej-882 42 22 as as ADP alkej-882 42 23 a a DET alkej-882 42 24 classifier classifier NOUN alkej-882 42 25 and and CCONJ alkej-882 42 26 has have VERB alkej-882 42 27 a a DET alkej-882 42 28 good good ADJ alkej-882 42 29 opportunity opportunity NOUN alkej-882 42 30 to to PART alkej-882 42 31 predict predict VERB alkej-882 42 32 the the DET alkej-882 42 33 colors color NOUN alkej-882 42 34 of of ADP alkej-882 42 35 different different ADJ alkej-882 42 36 objects object NOUN alkej-882 42 37 based base VERB alkej-882 42 38 on on ADP alkej-882 42 39 datasets dataset NOUN alkej-882 42 40 extracted extract VERB alkej-882 42 41 from from ADP alkej-882 42 42 a a DET alkej-882 42 43 lab lab NOUN alkej-882 42 44 - - PUNCT alkej-882 42 45 fabricated fabricate VERB alkej-882 42 46 colorimeter colorimeter NOUN alkej-882 42 47 . . PUNCT alkej-882 43 1 2 2 NUM alkej-882 43 2 . . X alkej-882 43 3 materials material NOUN alkej-882 43 4 and and CCONJ alkej-882 43 5 methods method NOUN alkej-882 43 6 2.1 2.1 NUM alkej-882 43 7 dataset dataset NOUN alkej-882 43 8 collection collection NOUN alkej-882 43 9 the the DET alkej-882 43 10 dataset dataset NOUN alkej-882 43 11 employed employ VERB alkej-882 43 12 in in ADP alkej-882 43 13 the the DET alkej-882 43 14 study study NOUN alkej-882 43 15 was be AUX alkej-882 43 16 extracted extract VERB alkej-882 43 17 from from ADP alkej-882 43 18 an an DET alkej-882 43 19 rgb rgb PROPN alkej-882 43 20 colorimeter colorimeter NOUN alkej-882 43 21 device device NOUN alkej-882 43 22 ( ( PUNCT alkej-882 43 23 figure figure NOUN alkej-882 43 24 1 1 NUM alkej-882 43 25 ) ) PUNCT alkej-882 43 26 implemented implement VERB alkej-882 43 27 in in ADP alkej-882 43 28 the the DET alkej-882 43 29 lab lab NOUN alkej-882 43 30 using use VERB alkej-882 43 31 a a DET alkej-882 43 32 number number NOUN alkej-882 43 33 of of ADP alkej-882 43 34 low low ADJ alkej-882 43 35 - - PUNCT alkej-882 43 36 cost cost NOUN alkej-882 43 37 electronics electronic NOUN alkej-882 43 38 , , PUNCT alkej-882 43 39 electrical electrical ADJ alkej-882 43 40 parts part NOUN alkej-882 43 41 , , PUNCT alkej-882 43 42 and and CCONJ alkej-882 43 43 other other ADJ alkej-882 43 44 complementary complementary ADJ alkej-882 43 45 components component NOUN alkej-882 43 46 . . PUNCT alkej-882 44 1 in in ADP alkej-882 44 2 this this DET alkej-882 44 3 process process NOUN alkej-882 44 4 , , PUNCT alkej-882 44 5 the the DET alkej-882 44 6 fabricated fabricate VERB alkej-882 44 7 colorimeter colorimeter NOUN alkej-882 44 8 was be AUX alkej-882 44 9 designed design VERB alkej-882 44 10 with with ADP alkej-882 44 11 specific specific ADJ alkej-882 44 12 consideration consideration NOUN alkej-882 44 13 and and CCONJ alkej-882 44 14 high high ADJ alkej-882 44 15 precision precision NOUN alkej-882 44 16 to to PART alkej-882 44 17 measure measure VERB alkej-882 44 18 the the DET alkej-882 44 19 rgb rgb PROPN alkej-882 44 20 values value NOUN alkej-882 44 21 of of ADP alkej-882 44 22 a a DET alkej-882 44 23 number number NOUN alkej-882 44 24 of of ADP alkej-882 44 25 colored colored ADJ alkej-882 44 26 samples sample NOUN alkej-882 44 27 in in ADP alkej-882 44 28 order order NOUN alkej-882 44 29 to to PART alkej-882 44 30 use use VERB alkej-882 44 31 these these DET alkej-882 44 32 values value NOUN alkej-882 44 33 as as ADP alkej-882 44 34 input input NOUN alkej-882 44 35 for for ADP alkej-882 44 36 the the DET alkej-882 44 37 proposed propose VERB alkej-882 44 38 ann ann PROPN alkej-882 44 39 model model PROPN alkej-882 44 40 . . PUNCT alkej-882 45 1 the the DET alkej-882 45 2 number number NOUN alkej-882 45 3 of of ADP alkej-882 45 4 tested test VERB alkej-882 45 5 samples sample NOUN alkej-882 45 6 is be AUX alkej-882 45 7 about about ADV alkej-882 45 8 5000 5000 NUM alkej-882 45 9 cards card NOUN alkej-882 45 10 of of ADP alkej-882 45 11 colored colored ADJ alkej-882 45 12 paper paper NOUN alkej-882 45 13 stamped stamp VERB alkej-882 45 14 with with ADP alkej-882 45 15 standard standard ADJ alkej-882 45 16 names name NOUN alkej-882 45 17 for for ADP alkej-882 45 18 wallpaper wallpaper NOUN alkej-882 45 19 and and CCONJ alkej-882 45 20 paint paint NOUN alkej-882 45 21 companies company NOUN alkej-882 45 22 in in ADP alkej-882 45 23 iraq iraq PROPN alkej-882 45 24 , , PUNCT alkej-882 45 25 namely namely ADV alkej-882 45 26 jotun jotun PROPN alkej-882 45 27 , , PUNCT alkej-882 45 28 al al PROPN alkej-882 45 29 - - PUNCT alkej-882 45 30 marjan marjan PROPN alkej-882 45 31 , , PUNCT alkej-882 45 32 al al PROPN alkej-882 45 33 - - PUNCT alkej-882 45 34 yaqut yaqut PROPN alkej-882 45 35 , , PUNCT alkej-882 45 36 and and CCONJ alkej-882 45 37 jazeera jazeera PROPN alkej-882 45 38 . . PUNCT alkej-882 46 1 the the DET alkej-882 46 2 colorimeter colorimeter NOUN alkej-882 46 3 was be AUX alkej-882 46 4 used use VERB alkej-882 46 5 to to PART alkej-882 46 6 record record VERB alkej-882 46 7 the the DET alkej-882 46 8 code code NOUN alkej-882 46 9 of of ADP alkej-882 46 10 each each DET alkej-882 46 11 inspected inspect VERB alkej-882 46 12 colored colored ADJ alkej-882 46 13 card card NOUN alkej-882 46 14 as as ADP alkej-882 46 15 rgb rgb PROPN alkej-882 46 16 code code PROPN alkej-882 46 17 and and CCONJ alkej-882 46 18 save save VERB alkej-882 46 19 it it PRON alkej-882 46 20 as as ADP alkej-882 46 21 a a DET alkej-882 46 22 comma comma NOUN alkej-882 46 23 - - PUNCT alkej-882 46 24 separated separate VERB alkej-882 46 25 values value NOUN alkej-882 46 26 ( ( PUNCT alkej-882 46 27 csv csv NOUN alkej-882 46 28 ) ) PUNCT alkej-882 46 29 file file NOUN alkej-882 46 30 . . PUNCT alkej-882 47 1 fig fig NOUN alkej-882 47 2 . . PUNCT alkej-882 48 1 1 1 X alkej-882 48 2 . . X alkej-882 48 3 the the DET alkej-882 48 4 fabricated fabricate VERB alkej-882 48 5 colorimeter colorimeter NOUN alkej-882 48 6 and and CCONJ alkej-882 48 7 standard standard ADJ alkej-882 48 8 colored colored ADJ alkej-882 48 9 cards card NOUN alkej-882 48 10 2.2 2.2 NUM alkej-882 48 11 rgb rgb PROPN alkej-882 48 12 and and CCONJ alkej-882 48 13 color color NOUN alkej-882 48 14 spaces space NOUN alkej-882 48 15 in in ADP alkej-882 48 16 essence essence NOUN alkej-882 48 17 , , PUNCT alkej-882 48 18 a a DET alkej-882 48 19 color color NOUN alkej-882 48 20 space space NOUN alkej-882 48 21 is be AUX alkej-882 48 22 a a DET alkej-882 48 23 collection collection NOUN alkej-882 48 24 of of ADP alkej-882 48 25 colors color NOUN alkej-882 48 26 that that PRON alkej-882 48 27 assist assist VERB alkej-882 48 28 in in ADP alkej-882 48 29 reproducing reproduce VERB alkej-882 48 30 analog analog NOUN alkej-882 48 31 and and CCONJ alkej-882 48 32 digital digital ADJ alkej-882 48 33 representations representation NOUN alkej-882 48 34 of of ADP alkej-882 48 35 color color NOUN alkej-882 48 36 along along ADP alkej-882 48 37 with with ADP alkej-882 48 38 physical physical ADJ alkej-882 48 39 device device NOUN alkej-882 48 40 profiling profiling NOUN alkej-882 48 41 . . PUNCT alkej-882 49 1 another another DET alkej-882 49 2 way way NOUN alkej-882 49 3 to to PART alkej-882 49 4 think think VERB alkej-882 49 5 of of ADP alkej-882 49 6 color color NOUN alkej-882 49 7 spaces space NOUN alkej-882 49 8 is be AUX alkej-882 49 9 as as ADP alkej-882 49 10 an an DET alkej-882 49 11 abstract abstract ADJ alkej-882 49 12 mathematical mathematical ADJ alkej-882 49 13 model model NOUN alkej-882 49 14 that that PRON alkej-882 49 15 enables enable VERB alkej-882 49 16 the the DET alkej-882 49 17 representation representation NOUN alkej-882 49 18 of of ADP alkej-882 49 19 colors color NOUN alkej-882 49 20 as as ADP alkej-882 49 21 numbers number NOUN alkej-882 49 22 [ [ X alkej-882 49 23 10 10 NUM alkej-882 49 24 ] ] PUNCT alkej-882 49 25 . . PUNCT alkej-882 50 1 the the DET alkej-882 50 2 rgb rgb PROPN alkej-882 50 3 system system NOUN alkej-882 50 4 - - PUNCT alkej-882 50 5 dependent dependent ADJ alkej-882 50 6 color color NOUN alkej-882 50 7 space space NOUN alkej-882 50 8 is be AUX alkej-882 50 9 represented represent VERB alkej-882 50 10 by by ADP alkej-882 50 11 24bit 24bit NOUN alkej-882 50 12 , , PUNCT alkej-882 50 13 with with ADP alkej-882 50 14 8 8 NUM alkej-882 50 15 bits bit NOUN alkej-882 50 16 allotted allot VERB alkej-882 50 17 to to ADP alkej-882 50 18 each each DET alkej-882 50 19 single single ADJ alkej-882 50 20 channel channel NOUN alkej-882 50 21 of of ADP alkej-882 50 22 r r NOUN alkej-882 50 23 , , PUNCT alkej-882 50 24 g g NOUN alkej-882 50 25 , , PUNCT alkej-882 50 26 and and CCONJ alkej-882 50 27 b. b. PROPN alkej-882 50 28 as as ADP alkej-882 50 29 a a DET alkej-882 50 30 result result NOUN alkej-882 50 31 , , PUNCT alkej-882 50 32 the the DET alkej-882 50 33 range range NOUN alkej-882 50 34 of of ADP alkej-882 50 35 values value NOUN alkej-882 50 36 for for ADP alkej-882 50 37 each each DET alkej-882 50 38 channel channel NOUN alkej-882 50 39 is be AUX alkej-882 50 40 0 0 NUM alkej-882 50 41 to to ADP alkej-882 50 42 255 255 NUM alkej-882 50 43 . . PUNCT alkej-882 51 1 all all DET alkej-882 51 2 colors color NOUN alkej-882 51 3 can can AUX alkej-882 51 4 be be AUX alkej-882 51 5 represented represent VERB alkej-882 51 6 shahad shahad ADJ alkej-882 51 7 a. a. NOUN alkej-882 51 8 mnati mnati PROPN alkej-882 51 9 al al PROPN alkej-882 51 10 - - PUNCT alkej-882 51 11 khwarizmi khwarizmi PROPN alkej-882 51 12 engineering engineering NOUN alkej-882 51 13 journal journal PROPN alkej-882 51 14 , , PUNCT alkej-882 51 15 vol vol NOUN alkej-882 51 16 . . PROPN alkej-882 51 17 19 19 NUM alkej-882 51 18 , , PUNCT alkej-882 51 19 no no INTJ alkej-882 51 20 . . NOUN alkej-882 51 21 4 4 NUM alkej-882 51 22 , , PUNCT alkej-882 51 23 p.p p.p PROPN alkej-882 51 24 . . PROPN alkej-882 51 25 6777 6777 NUM alkej-882 51 26 ( ( PUNCT alkej-882 51 27 2023 2023 NUM alkej-882 51 28 ) ) PUNCT alkej-882 51 29 69 69 NUM alkej-882 51 30 using use VERB alkej-882 51 31 various various ADJ alkej-882 51 32 red red ADJ alkej-882 51 33 , , PUNCT alkej-882 51 34 green green ADJ alkej-882 51 35 , , PUNCT alkej-882 51 36 and and CCONJ alkej-882 51 37 blue blue ADJ alkej-882 51 38 hues hue NOUN alkej-882 51 39 , , PUNCT alkej-882 51 40 according accord VERB alkej-882 51 41 to to ADP alkej-882 51 42 this this DET alkej-882 51 43 color color NOUN alkej-882 51 44 space space NOUN alkej-882 51 45 paradigm paradigm NOUN alkej-882 51 46 . . PUNCT alkej-882 52 1 2.3 2.3 NUM alkej-882 52 2 ann ann PROPN alkej-882 52 3 technology technology PROPN alkej-882 52 4 ann ann PROPN alkej-882 52 5 is be AUX alkej-882 52 6 essentially essentially ADV alkej-882 52 7 a a DET alkej-882 52 8 mathematical mathematical ADJ alkej-882 52 9 representation representation NOUN alkej-882 52 10 of of ADP alkej-882 52 11 a a DET alkej-882 52 12 process process NOUN alkej-882 52 13 that that PRON alkej-882 52 14 was be AUX alkej-882 52 15 created create VERB alkej-882 52 16 empirically empirically ADV alkej-882 52 17 rather rather ADV alkej-882 52 18 than than ADP alkej-882 52 19 by by ADP alkej-882 52 20 employing employ VERB alkej-882 52 21 mass mass NOUN alkej-882 52 22 and and CCONJ alkej-882 52 23 energy energy NOUN alkej-882 52 24 balances balance NOUN alkej-882 52 25 surrounding surround VERB alkej-882 52 26 the the DET alkej-882 52 27 process process NOUN alkej-882 52 28 . . PUNCT alkej-882 53 1 a a DET alkej-882 53 2 neural neural ADJ alkej-882 53 3 network network NOUN alkej-882 53 4 is be AUX alkej-882 53 5 made make VERB alkej-882 53 6 up up ADP alkej-882 53 7 of of ADP alkej-882 53 8 a a DET alkej-882 53 9 network network NOUN alkej-882 53 10 of of ADP alkej-882 53 11 partially partially ADV alkej-882 53 12 interconnected interconnected ADJ alkej-882 53 13 processing processing NOUN alkej-882 53 14 units unit NOUN alkej-882 53 15 , , PUNCT alkej-882 53 16 or or CCONJ alkej-882 53 17 nodes node NOUN alkej-882 53 18 , , PUNCT alkej-882 53 19 structured structure VERB alkej-882 53 20 in in ADP alkej-882 53 21 layers layer NOUN alkej-882 53 22 , , PUNCT alkej-882 53 23 much much ADV alkej-882 53 24 like like ADP alkej-882 53 25 the the DET alkej-882 53 26 neurons neuron NOUN alkej-882 53 27 in in ADP alkej-882 53 28 the the DET alkej-882 53 29 brain brain NOUN alkej-882 53 30 . . PUNCT alkej-882 54 1 they they PRON alkej-882 54 2 also also ADV alkej-882 54 3 feature feature VERB alkej-882 54 4 connections connection NOUN alkej-882 54 5 between between ADP alkej-882 54 6 the the DET alkej-882 54 7 nodes node NOUN alkej-882 54 8 of of ADP alkej-882 54 9 subsequent subsequent ADJ alkej-882 54 10 layers layer NOUN alkej-882 54 11 . . PUNCT alkej-882 55 1 the the DET alkej-882 55 2 fundamental fundamental ADJ alkej-882 55 3 structure structure NOUN alkej-882 55 4 of of ADP alkej-882 55 5 a a DET alkej-882 55 6 single single ADJ alkej-882 55 7 neuron neuron NOUN alkej-882 55 8 or or CCONJ alkej-882 55 9 node node NOUN alkej-882 55 10 is be AUX alkej-882 55 11 within within ADP alkej-882 55 12 a a DET alkej-882 55 13 neural neural ADJ alkej-882 55 14 network network NOUN alkej-882 55 15 model model NOUN alkej-882 55 16 with with ADP alkej-882 55 17 inputs input NOUN alkej-882 55 18 , , PUNCT alkej-882 55 19 activation activation NOUN alkej-882 55 20 functions function NOUN alkej-882 55 21 , , PUNCT alkej-882 55 22 and and CCONJ alkej-882 55 23 a a DET alkej-882 55 24 single single ADJ alkej-882 55 25 output output NOUN alkej-882 55 26 . . PUNCT alkej-882 56 1 weights weight NOUN alkej-882 56 2 are be AUX alkej-882 56 3 calculated calculate VERB alkej-882 56 4 values value NOUN alkej-882 56 5 that that PRON alkej-882 56 6 represent represent VERB alkej-882 56 7 the the DET alkej-882 56 8 relationships relationship NOUN alkej-882 56 9 between between ADP alkej-882 56 10 nodes node NOUN alkej-882 56 11 [ [ X alkej-882 56 12 11 11 NUM alkej-882 56 13 , , PUNCT alkej-882 56 14 12 12 NUM alkej-882 56 15 ] ] PUNCT alkej-882 56 16 . . PUNCT alkej-882 57 1 figure figure NOUN alkej-882 57 2 2 2 NUM alkej-882 57 3 shows show VERB alkej-882 57 4 a a DET alkej-882 57 5 schematic schematic ADJ alkej-882 57 6 diagram diagram NOUN alkej-882 57 7 of of ADP alkej-882 57 8 a a DET alkej-882 57 9 fundamental fundamental ADJ alkej-882 57 10 neural neural ADJ alkej-882 57 11 network network NOUN alkej-882 57 12 where where SCONJ alkej-882 57 13 ๐‘Œ๐‘– ๐‘Œ๐‘– PROPN alkej-882 57 14 is be AUX alkej-882 57 15 the the DET alkej-882 57 16 output output NOUN alkej-882 57 17 , , PUNCT alkej-882 57 18 and and CCONJ alkej-882 57 19 w w NOUN alkej-882 57 20 are be AUX alkej-882 57 21 the the DET alkej-882 57 22 weights weight NOUN alkej-882 57 23 that that PRON alkej-882 57 24 represent represent VERB alkej-882 57 25 the the DET alkej-882 57 26 " " PUNCT alkej-882 57 27 strength strength NOUN alkej-882 57 28 " " PUNCT alkej-882 57 29 of of ADP alkej-882 57 30 the the DET alkej-882 57 31 connections connection NOUN alkej-882 57 32 between between ADP alkej-882 57 33 the the DET alkej-882 57 34 neurons neuron NOUN alkej-882 57 35 . . PUNCT alkej-882 58 1 each each DET alkej-882 58 2 neuron neuron NOUN alkej-882 58 3 in in ADP alkej-882 58 4 the the DET alkej-882 58 5 hidden hide VERB alkej-882 58 6 layer layer NOUN alkej-882 58 7 receives receive VERB alkej-882 58 8 weighted weight VERB alkej-882 58 9 inputs input NOUN alkej-882 58 10 plus plus CCONJ alkej-882 58 11 bias bias NOUN alkej-882 58 12 from from ADP alkej-882 58 13 each each DET alkej-882 58 14 neuron neuron NOUN alkej-882 58 15 in in ADP alkej-882 58 16 the the DET alkej-882 58 17 preceding precede VERB alkej-882 58 18 layer layer NOUN alkej-882 58 19 [ [ X alkej-882 58 20 13 13 NUM alkej-882 58 21 ] ] SYM alkej-882 58 22 : : PUNCT alkej-882 58 23 fig fig NOUN alkej-882 58 24 . . PUNCT alkej-882 59 1 2 2 NUM alkej-882 59 2 . . X alkej-882 59 3 schematic schematic ADJ alkej-882 59 4 diagram diagram NOUN alkej-882 59 5 of of ADP alkej-882 59 6 fundamental fundamental ADJ alkej-882 59 7 neural neural ADJ alkej-882 59 8 network network NOUN alkej-882 59 9 [ [ X alkej-882 59 10 12 12 NUM alkej-882 59 11 ] ] X alkej-882 60 1 ๐‘๐‘– ๐‘๐‘– PROPN alkej-882 60 2 = = SYM alkej-882 60 3 โˆ‘ โˆ‘ PUNCT alkej-882 60 4 ๐‘‹๐‘˜ ๐‘‹๐‘˜ PROPN alkej-882 60 5 ๐‘—โˆ’1๐‘Š๐‘˜,๐‘– ๐‘—โˆ’1๐‘Š๐‘˜,๐‘– NOUN alkej-882 60 6 โˆ’ โˆ’ NOUN alkej-882 60 7 ๐‘๐‘˜ ๐‘๐‘˜ NUM alkej-882 60 8 ๐‘๐‘—โˆ’1 ๐‘๐‘—โˆ’1 PROPN alkej-882 60 9 ๐‘˜=1 ๐‘˜=1 PROPN alkej-882 60 10 โ€ฆ โ€ฆ PUNCT alkej-882 60 11 ( ( PUNCT alkej-882 60 12 1 1 X alkej-882 60 13 ) ) PUNCT alkej-882 60 14 where where SCONJ alkej-882 60 15 ๐‘Š๐‘˜,๐‘–is ๐‘Š๐‘˜,๐‘–is ADP alkej-882 60 16 the the DET alkej-882 60 17 weight weight NOUN alkej-882 60 18 of of ADP alkej-882 60 19 the the DET alkej-882 60 20 link link NOUN alkej-882 60 21 between between ADP alkej-882 60 22 ๐‘›๐‘œ๐‘‘๐‘’ ๐‘›๐‘œ๐‘‘๐‘’ NOUN alkej-882 60 23 and and CCONJ alkej-882 60 24 all all DET alkej-882 60 25 the the DET alkej-882 60 26 nodes node NOUN alkej-882 60 27 in in ADP alkej-882 60 28 the the DET alkej-882 60 29 preceding precede VERB alkej-882 60 30 layers layer NOUN alkej-882 60 31 , , PUNCT alkej-882 60 32 ๐‘๐‘˜ ๐‘๐‘˜ NOUN alkej-882 60 33 is be AUX alkej-882 60 34 the the DET alkej-882 60 35 bias bias NOUN alkej-882 60 36 to to ADP alkej-882 60 37 the the DET alkej-882 60 38 node node NOUN alkej-882 60 39 , , PUNCT alkej-882 60 40 ๐‘๐‘—โˆ’1 ๐‘๐‘—โˆ’1 PROPN alkej-882 60 41 is be AUX alkej-882 60 42 the the DET alkej-882 60 43 number number NOUN alkej-882 60 44 of of ADP alkej-882 60 45 nodes node NOUN alkej-882 60 46 in in ADP alkej-882 60 47 layer layer NOUN alkej-882 60 48 ๐‘— ๐‘— INTJ alkej-882 60 49 โˆ’ โˆ’ PROPN alkej-882 60 50 1 1 NUM alkej-882 60 51 , , PUNCT alkej-882 60 52 and and CCONJ alkej-882 60 53 ๐‘‹๐‘˜ ๐‘‹๐‘˜ PROPN alkej-882 60 54 ๐‘—โˆ’1 ๐‘—โˆ’1 PROPN alkej-882 60 55 signifies signify VERB alkej-882 60 56 the the DET alkej-882 60 57 input input NOUN alkej-882 60 58 which which PRON alkej-882 60 59 in in ADP alkej-882 60 60 this this DET alkej-882 60 61 case case NOUN alkej-882 60 62 is be AUX alkej-882 60 63 the the DET alkej-882 60 64 ( ( PUNCT alkej-882 60 65 rgb rgb PROPN alkej-882 60 66 ) ) PUNCT alkej-882 60 67 values value NOUN alkej-882 60 68 from from ADP alkej-882 60 69 the the DET alkej-882 60 70 ๐‘˜ ๐‘˜ PROPN alkej-882 60 71 โˆ’ โˆ’ PROPN alkej-882 60 72 ๐‘กโ„Ž ๐‘กโ„Ž PROPN alkej-882 60 73 node node NOUN alkej-882 60 74 in in ADP alkej-882 60 75 the the DET alkej-882 60 76 ๐‘— ๐‘— NOUN alkej-882 60 77 โˆ’ โˆ’ NOUN alkej-882 60 78 ๐‘กโ„Ž ๐‘กโ„Ž NOUN alkej-882 60 79 layer layer NOUN alkej-882 60 80 . . PUNCT alkej-882 61 1 the the DET alkej-882 61 2 summation summation NOUN alkej-882 61 3 of of ADP alkej-882 61 4 equation equation NOUN alkej-882 61 5 1 1 NUM alkej-882 61 6 is be AUX alkej-882 61 7 fed feed VERB alkej-882 61 8 to to ADP alkej-882 61 9 the the DET alkej-882 61 10 activation activation NOUN alkej-882 61 11 function function NOUN alkej-882 61 12 , , PUNCT alkej-882 61 13 which which PRON alkej-882 61 14 generates generate VERB alkej-882 61 15 the the DET alkej-882 61 16 node node NOUN alkej-882 61 17 's 's PART alkej-882 61 18 output output NOUN alkej-882 61 19 , , PUNCT alkej-882 61 20 which which PRON alkej-882 61 21 is be AUX alkej-882 61 22 calculated calculate VERB alkej-882 61 23 as as ADP alkej-882 61 24 ๐‘Œ๐‘– ๐‘Œ๐‘– PROPN alkej-882 61 25 = = PUNCT alkej-882 61 26 ๐‘“(๐‘๐‘– ๐‘“(๐‘๐‘– PROPN alkej-882 61 27 ) ) PUNCT alkej-882 61 28 which which PRON alkej-882 61 29 is be AUX alkej-882 61 30 one one NUM alkej-882 61 31 of of ADP alkej-882 61 32 the the DET alkej-882 61 33 eleven eleven NUM alkej-882 61 34 fundamental fundamental ADJ alkej-882 61 35 color color NOUN alkej-882 61 36 categories category NOUN alkej-882 61 37 ( ( PUNCT alkej-882 61 38 red red ADJ alkej-882 61 39 , , PUNCT alkej-882 61 40 green green ADJ alkej-882 61 41 , , PUNCT alkej-882 61 42 orange orange ADJ alkej-882 61 43 , , PUNCT alkej-882 61 44 yellow yellow ADJ alkej-882 61 45 , , PUNCT alkej-882 61 46 pink pink ADJ alkej-882 61 47 , , PUNCT alkej-882 61 48 purple purple ADJ alkej-882 61 49 , , PUNCT alkej-882 61 50 blue blue ADJ alkej-882 61 51 , , PUNCT alkej-882 61 52 brown brown ADJ alkej-882 61 53 , , PUNCT alkej-882 61 54 grey grey ADJ alkej-882 61 55 , , PUNCT alkej-882 61 56 white white ADJ alkej-882 61 57 , , PUNCT alkej-882 61 58 or or CCONJ alkej-882 61 59 black black ADJ alkej-882 61 60 ) ) PUNCT alkej-882 61 61 . . PUNCT alkej-882 62 1 the the DET alkej-882 62 2 activation activation NOUN alkej-882 62 3 function function VERB alkej-882 62 4 for for ADP alkej-882 62 5 each each DET alkej-882 62 6 layer layer NOUN alkej-882 62 7 in in ADP alkej-882 62 8 the the DET alkej-882 62 9 neural neural ADJ alkej-882 62 10 network network NOUN alkej-882 62 11 ( ( PUNCT alkej-882 62 12 nn nn NOUN alkej-882 62 13 ) ) PUNCT alkej-882 62 14 model model NOUN alkej-882 62 15 is be AUX alkej-882 62 16 a a DET alkej-882 62 17 rectified rectified ADJ alkej-882 62 18 linear linear NOUN alkej-882 62 19 unit unit NOUN alkej-882 62 20 ( ( PUNCT alkej-882 62 21 relu relu NOUN alkej-882 62 22 ) ) PUNCT alkej-882 62 23 which which PRON alkej-882 62 24 has have AUX alkej-882 62 25 been be AUX alkej-882 62 26 applied apply VERB alkej-882 62 27 in in ADP alkej-882 62 28 the the DET alkej-882 62 29 current current ADJ alkej-882 62 30 work work NOUN alkej-882 62 31 . . PUNCT alkej-882 63 1 the the DET alkej-882 63 2 activation activation NOUN alkej-882 63 3 functions function NOUN alkej-882 63 4 are be AUX alkej-882 63 5 used use VERB alkej-882 63 6 to to PART alkej-882 63 7 introduce introduce VERB alkej-882 63 8 non non ADJ alkej-882 63 9 - - NOUN alkej-882 63 10 linearity linearity ADJ alkej-882 63 11 in in ADP alkej-882 63 12 order order NOUN alkej-882 63 13 to to PART alkej-882 63 14 assist assist VERB alkej-882 63 15 the the DET alkej-882 63 16 nn nn PROPN alkej-882 63 17 in in ADP alkej-882 63 18 learning learn VERB alkej-882 63 19 complex complex ADJ alkej-882 63 20 data datum NOUN alkej-882 63 21 patterns pattern NOUN alkej-882 63 22 . . PUNCT alkej-882 64 1 2.4 2.4 NUM alkej-882 64 2 performance performance NOUN alkej-882 64 3 metrics metric NOUN alkej-882 64 4 various various ADJ alkej-882 64 5 metrics metric NOUN alkej-882 64 6 are be AUX alkej-882 64 7 employed employ VERB alkej-882 64 8 for for ADP alkej-882 64 9 the the DET alkej-882 64 10 estimation estimation NOUN alkej-882 64 11 of of ADP alkej-882 64 12 an an DET alkej-882 64 13 ann ann NOUN alkej-882 64 14 performance performance NOUN alkej-882 64 15 and and CCONJ alkej-882 64 16 quality quality NOUN alkej-882 64 17 . . PUNCT alkej-882 65 1 performance performance NOUN alkej-882 65 2 metrics metric NOUN alkej-882 65 3 were be AUX alkej-882 65 4 considered consider VERB alkej-882 65 5 in in ADP alkej-882 65 6 this this DET alkej-882 65 7 study study NOUN alkej-882 65 8 for for ADP alkej-882 65 9 evaluating evaluate VERB alkej-882 65 10 the the DET alkej-882 65 11 performance performance NOUN alkej-882 65 12 of of ADP alkej-882 65 13 the the DET alkej-882 65 14 ml ml PROPN alkej-882 65 15 model model NOUN alkej-882 65 16 . . PUNCT alkej-882 66 1 different different ADJ alkej-882 66 2 metrics metric NOUN alkej-882 66 3 are be AUX alkej-882 66 4 used use VERB alkej-882 66 5 in in ADP alkej-882 66 6 evaluating evaluate VERB alkej-882 66 7 the the DET alkej-882 66 8 performance performance NOUN alkej-882 66 9 of of ADP alkej-882 66 10 the the DET alkej-882 66 11 model model NOUN alkej-882 66 12 such such ADJ alkej-882 66 13 as as ADP alkej-882 66 14 accuracy accuracy NOUN alkej-882 66 15 , , PUNCT alkej-882 66 16 precision precision NOUN alkej-882 66 17 , , PUNCT alkej-882 66 18 recall recall NOUN alkej-882 66 19 , , PUNCT alkej-882 66 20 and and CCONJ alkej-882 66 21 f1score f1score NOUN alkej-882 66 22 [ [ X alkej-882 66 23 14 14 NUM alkej-882 66 24 , , PUNCT alkej-882 66 25 15 15 NUM alkej-882 66 26 ] ] SYM alkej-882 66 27 : : PUNCT alkej-882 66 28 2.4.1 2.4.1 NUM alkej-882 66 29 accuracy accuracy NOUN alkej-882 66 30 ( ( PUNCT alkej-882 66 31 acc acc PROPN alkej-882 66 32 ): ): PUNCT alkej-882 66 33 the the DET alkej-882 66 34 accuracy accuracy NOUN alkej-882 66 35 of of ADP alkej-882 66 36 a a DET alkej-882 66 37 model model NOUN alkej-882 66 38 determines determine VERB alkej-882 66 39 how how SCONJ alkej-882 66 40 well well ADV alkej-882 66 41 it it PRON alkej-882 66 42 classifies classify VERB alkej-882 66 43 the the DET alkej-882 66 44 target target NOUN alkej-882 66 45 variable variable NOUN alkej-882 66 46 . . PUNCT alkej-882 67 1 the the DET alkej-882 67 2 accuracy accuracy NOUN alkej-882 67 3 of of ADP alkej-882 67 4 the the DET alkej-882 67 5 selected select VERB alkej-882 67 6 model model NOUN alkej-882 67 7 is be AUX alkej-882 67 8 given give VERB alkej-882 67 9 as as SCONJ alkej-882 67 10 follows follow VERB alkej-882 67 11 [ [ X alkej-882 67 12 16 16 NUM alkej-882 67 13 ] ] X alkej-882 67 14 : : PUNCT alkej-882 67 15 ๐ด๐‘๐‘ ๐ด๐‘๐‘ PROPN alkej-882 67 16 = = SYM alkej-882 67 17 ๐‘‡๐‘ƒ ๐‘‡๐‘ƒ PROPN alkej-882 67 18 + + CCONJ alkej-882 67 19 ๐‘‡๐‘ ๐‘‡๐‘ PROPN alkej-882 67 20 ๐‘‡๐‘ƒ ๐‘‡๐‘ƒ PROPN alkej-882 67 21 + + CCONJ alkej-882 67 22 ๐‘‡๐‘ ๐‘‡๐‘ PROPN alkej-882 67 23 + + NUM alkej-882 67 24 ๐น๐‘ƒ ๐น๐‘ƒ NOUN alkej-882 68 1 + + CCONJ alkej-882 68 2 ๐น๐‘ ๐น๐‘ PROPN alkej-882 68 3 โ€ฆ โ€ฆ PUNCT alkej-882 68 4 ( ( PUNCT alkej-882 68 5 2 2 X alkej-882 68 6 ) ) PUNCT alkej-882 68 7 where where SCONJ alkej-882 68 8 tp tp NOUN alkej-882 68 9 is be AUX alkej-882 68 10 the the DET alkej-882 68 11 total total ADJ alkej-882 68 12 positive positive ADJ alkej-882 68 13 which which PRON alkej-882 68 14 refers refer VERB alkej-882 68 15 to to ADP alkej-882 68 16 the the DET alkej-882 68 17 number number NOUN alkej-882 68 18 of of ADP alkej-882 68 19 accurately accurately ADV alkej-882 68 20 labeled label VERB alkej-882 68 21 positive positive ADJ alkej-882 68 22 samples sample NOUN alkej-882 68 23 , , PUNCT alkej-882 68 24 tn tn PROPN alkej-882 68 25 is be AUX alkej-882 68 26 total total ADV alkej-882 68 27 negative negative ADJ alkej-882 68 28 which which PRON alkej-882 68 29 refers refer VERB alkej-882 68 30 to to ADP alkej-882 68 31 the the DET alkej-882 68 32 number number NOUN alkej-882 68 33 of of ADP alkej-882 68 34 negative negative ADJ alkej-882 68 35 samples sample NOUN alkej-882 68 36 that that PRON alkej-882 68 37 have have AUX alkej-882 68 38 been be AUX alkej-882 68 39 accurately accurately ADV alkej-882 68 40 classified classify VERB alkej-882 68 41 , , PUNCT alkej-882 68 42 fp fp X alkej-882 68 43 is be AUX alkej-882 68 44 the the DET alkej-882 68 45 false false ADJ alkej-882 68 46 positive positive ADJ alkej-882 68 47 which which PRON alkej-882 68 48 refers refer VERB alkej-882 68 49 to to ADP alkej-882 68 50 the the DET alkej-882 68 51 misclassification misclassification NOUN alkej-882 68 52 of of ADP alkej-882 68 53 negative negative ADJ alkej-882 68 54 samples sample NOUN alkej-882 68 55 as as ADP alkej-882 68 56 positive positive ADJ alkej-882 68 57 , , PUNCT alkej-882 68 58 and and CCONJ alkej-882 68 59 fn fn NOUN alkej-882 68 60 is be AUX alkej-882 68 61 the the DET alkej-882 68 62 false false ADJ alkej-882 68 63 negative negative NOUN alkej-882 68 64 which which PRON alkej-882 68 65 refers refer VERB alkej-882 68 66 to to ADP alkej-882 68 67 the the DET alkej-882 68 68 misclassification misclassification NOUN alkej-882 68 69 of of ADP alkej-882 68 70 positive positive ADJ alkej-882 68 71 samples sample NOUN alkej-882 68 72 as as ADP alkej-882 68 73 negative negative ADJ alkej-882 68 74 . . PUNCT alkej-882 69 1 2.4.2 2.4.2 NUM alkej-882 69 2 precision precision NOUN alkej-882 69 3 ( ( PUNCT alkej-882 69 4 prec prec NOUN alkej-882 69 5 ) ) PUNCT alkej-882 69 6 is be AUX alkej-882 69 7 the the DET alkej-882 69 8 proportion proportion NOUN alkej-882 69 9 of of ADP alkej-882 69 10 correctly correctly ADV alkej-882 69 11 predicted predict VERB alkej-882 69 12 positives positive NOUN alkej-882 69 13 to to ADP alkej-882 69 14 the the DET alkej-882 69 15 total total ADJ alkej-882 69 16 number number NOUN alkej-882 69 17 of of ADP alkej-882 69 18 positive positive ADJ alkej-882 69 19 observations observation NOUN alkej-882 69 20 predicted predict VERB alkej-882 69 21 . . PUNCT alkej-882 70 1 a a DET alkej-882 70 2 low low ADJ alkej-882 70 3 rate rate NOUN alkej-882 70 4 of of ADP alkej-882 70 5 false false ADJ alkej-882 70 6 positives positive NOUN alkej-882 70 7 is be AUX alkej-882 70 8 correlated correlate VERB alkej-882 70 9 with with ADP alkej-882 70 10 precision precision NOUN alkej-882 70 11 [ [ X alkej-882 70 12 16 16 NUM alkej-882 70 13 ] ] X alkej-882 70 14 : : PUNCT alkej-882 70 15 ๐‘ƒ๐‘Ÿ๐‘’๐‘ ๐‘ƒ๐‘Ÿ๐‘’๐‘ PROPN alkej-882 70 16 = = SYM alkej-882 70 17 ๐‘‡๐‘ƒ ๐‘‡๐‘ƒ PROPN alkej-882 70 18 ๐‘‡๐‘ƒ ๐‘‡๐‘ƒ PROPN alkej-882 70 19 + + CCONJ alkej-882 70 20 ๐น๐‘ƒ ๐น๐‘ƒ PROPN alkej-882 70 21 โ€ฆ โ€ฆ PUNCT alkej-882 70 22 ( ( PUNCT alkej-882 70 23 3 3 X alkej-882 70 24 ) ) PUNCT alkej-882 70 25 2.4.3 2.4.3 NUM alkej-882 70 26 recall recall NOUN alkej-882 70 27 ( ( PUNCT alkej-882 70 28 rec rec NOUN alkej-882 70 29 ): ): PUNCT alkej-882 70 30 is be AUX alkej-882 70 31 the the DET alkej-882 70 32 proportion proportion NOUN alkej-882 70 33 of of ADP alkej-882 70 34 positively positively ADV alkej-882 70 35 predicted predict VERB alkej-882 70 36 observations observation NOUN alkej-882 70 37 to to ADP alkej-882 70 38 the the DET alkej-882 70 39 total total ADJ alkej-882 70 40 number number NOUN alkej-882 70 41 of of ADP alkej-882 70 42 observations observation NOUN alkej-882 70 43 in in ADP alkej-882 70 44 the the DET alkej-882 70 45 actual actual ADJ alkej-882 70 46 class class NOUN alkej-882 70 47 . . PUNCT alkej-882 71 1 in in ADP alkej-882 71 2 general general ADJ alkej-882 71 3 , , PUNCT alkej-882 71 4 recall recall VERB alkej-882 71 5 values value NOUN alkej-882 71 6 above above ADP alkej-882 71 7 0.5 0.5 NUM alkej-882 71 8 are be AUX alkej-882 71 9 considered consider VERB alkej-882 71 10 acceptable acceptable ADJ alkej-882 71 11 [ [ X alkej-882 71 12 16 16 NUM alkej-882 71 13 ] ] X alkej-882 71 14 : : PUNCT alkej-882 71 15 ๐‘…๐‘’๐‘ ๐‘…๐‘’๐‘ PROPN alkej-882 71 16 = = SYM alkej-882 71 17 ๐‘‡๐‘ƒ ๐‘‡๐‘ƒ PROPN alkej-882 71 18 ๐‘‡๐‘ƒ ๐‘‡๐‘ƒ PROPN alkej-882 71 19 + + CCONJ alkej-882 72 1 ๐น๐‘ ๐น๐‘ PROPN alkej-882 72 2 โ€ฆ โ€ฆ PUNCT alkej-882 72 3 ( ( PUNCT alkej-882 72 4 4 4 X alkej-882 72 5 ) ) PUNCT alkej-882 72 6 2.4.4 2.4.4 NUM alkej-882 72 7 f1 f1 NOUN alkej-882 72 8 score score NOUN alkej-882 72 9 ( ( PUNCT alkej-882 72 10 f1s f1s ADJ alkej-882 72 11 ): ): PUNCT alkej-882 72 12 is be AUX alkej-882 72 13 the the DET alkej-882 72 14 harmonic harmonic ADJ alkej-882 72 15 mean mean NOUN alkej-882 72 16 of of ADP alkej-882 72 17 precision precision NOUN alkej-882 72 18 and and CCONJ alkej-882 72 19 recall recall NOUN alkej-882 72 20 , , PUNCT alkej-882 72 21 it it PRON alkej-882 72 22 is be AUX alkej-882 72 23 a a DET alkej-882 72 24 more more ADV alkej-882 72 25 accurate accurate ADJ alkej-882 72 26 measurement measurement NOUN alkej-882 72 27 than than ADP alkej-882 72 28 precision precision NOUN alkej-882 72 29 [ [ X alkej-882 72 30 16 16 NUM alkej-882 72 31 ] ] X alkej-882 72 32 : : PUNCT alkej-882 72 33 ๐น1s ๐น1s PROPN alkej-882 72 34 = = SYM alkej-882 72 35 2 2 NUM alkej-882 72 36 ร— ร— NOUN alkej-882 72 37 ๐‘ƒ๐‘Ÿ๐‘’๐‘ ๐‘ƒ๐‘Ÿ๐‘’๐‘ PROPN alkej-882 72 38 โˆ’ โˆ’ PROPN alkej-882 72 39 ๐‘…๐‘’๐‘ ๐‘…๐‘’๐‘ PROPN alkej-882 72 40 ๐‘ƒ๐‘Ÿ๐‘’๐‘ ๐‘ƒ๐‘Ÿ๐‘’๐‘ PROPN alkej-882 72 41 + + CCONJ alkej-882 72 42 ๐‘…๐‘’๐‘ ๐‘…๐‘’๐‘ PROPN alkej-882 72 43 โ€ฆ โ€ฆ PUNCT alkej-882 72 44 ( ( PUNCT alkej-882 72 45 5 5 NUM alkej-882 72 46 ) ) PUNCT alkej-882 72 47 where where SCONJ alkej-882 72 48 f1 f1 NOUN alkej-882 72 49 - - PUNCT alkej-882 72 50 score score NOUN alkej-882 72 51 is be AUX alkej-882 72 52 the the DET alkej-882 72 53 most most ADV alkej-882 72 54 effective effective ADJ alkej-882 72 55 measurement measurement NOUN alkej-882 72 56 when when SCONJ alkej-882 72 57 the the DET alkej-882 72 58 target target NOUN alkej-882 72 59 's 's PART alkej-882 72 60 classification classification NOUN alkej-882 72 61 is be AUX alkej-882 72 62 imbalanced imbalance VERB alkej-882 72 63 . . PUNCT alkej-882 73 1 shahad shahad PROPN alkej-882 73 2 a. a. PROPN alkej-882 73 3 mnati mnati PROPN alkej-882 73 4 al al PROPN alkej-882 73 5 - - PUNCT alkej-882 73 6 khwarizmi khwarizmi PROPN alkej-882 73 7 engineering engineering NOUN alkej-882 73 8 journal journal PROPN alkej-882 73 9 , , PUNCT alkej-882 73 10 vol vol NOUN alkej-882 73 11 . . PROPN alkej-882 73 12 19 19 NUM alkej-882 73 13 , , PUNCT alkej-882 73 14 no no INTJ alkej-882 73 15 . . NOUN alkej-882 73 16 4 4 NUM alkej-882 73 17 , , PUNCT alkej-882 73 18 p.p p.p PROPN alkej-882 73 19 . . PROPN alkej-882 73 20 6777 6777 NUM alkej-882 73 21 ( ( PUNCT alkej-882 73 22 2023 2023 NUM alkej-882 73 23 ) ) PUNCT alkej-882 73 24 70 70 NUM alkej-882 73 25 2.4.5 2.4.5 NUM alkej-882 73 26 confusion confusion NOUN alkej-882 73 27 matrix matrix NOUN alkej-882 73 28 : : PUNCT alkej-882 73 29 is be AUX alkej-882 73 30 used use VERB alkej-882 73 31 to to PART alkej-882 73 32 summarize summarize VERB alkej-882 73 33 the the DET alkej-882 73 34 performance performance NOUN alkej-882 73 35 of of ADP alkej-882 73 36 the the DET alkej-882 73 37 ann ann PROPN alkej-882 73 38 algorithm algorithm NOUN alkej-882 73 39 . . PUNCT alkej-882 74 1 to to PART alkej-882 74 2 discriminate discriminate VERB alkej-882 74 3 between between ADP alkej-882 74 4 the the DET alkej-882 74 5 rgb rgb PROPN alkej-882 74 6 classes class NOUN alkej-882 74 7 ( ( PUNCT alkej-882 74 8 black black ADJ alkej-882 74 9 , , PUNCT alkej-882 74 10 white white ADJ alkej-882 74 11 , , PUNCT alkej-882 74 12 โ€ฆ โ€ฆ PUNCT alkej-882 74 13 , , PUNCT alkej-882 74 14 etc etc X alkej-882 74 15 . . X alkej-882 74 16 ) ) PUNCT alkej-882 74 17 , , PUNCT alkej-882 74 18 the the DET alkej-882 74 19 actual actual ADJ alkej-882 74 20 colors color NOUN alkej-882 74 21 are be AUX alkej-882 74 22 assigned assign VERB alkej-882 74 23 to to ADP alkej-882 74 24 positive positive ADJ alkej-882 74 25 and and CCONJ alkej-882 74 26 negative negative ADJ alkej-882 74 27 . . PUNCT alkej-882 75 1 however however ADV alkej-882 75 2 , , PUNCT alkej-882 75 3 the the DET alkej-882 75 4 prediction prediction NOUN alkej-882 75 5 colors color NOUN alkej-882 75 6 are be AUX alkej-882 75 7 assigned assign VERB alkej-882 75 8 to to ADP alkej-882 75 9 true true ADJ alkej-882 75 10 for for ADP alkej-882 75 11 and and CCONJ alkej-882 75 12 false false ADJ alkej-882 75 13 for for ADP alkej-882 75 14 no no DET alkej-882 75 15 damage damage NOUN alkej-882 75 16 [ [ X alkej-882 75 17 17 17 NUM alkej-882 75 18 ] ] PUNCT alkej-882 75 19 as as SCONJ alkej-882 75 20 shown show VERB alkej-882 75 21 in in ADP alkej-882 75 22 figure figure NOUN alkej-882 75 23 3 3 NUM alkej-882 75 24 . . PUNCT alkej-882 76 1 the the DET alkej-882 76 2 primary primary ADJ alkej-882 76 3 goal goal NOUN alkej-882 76 4 of of ADP alkej-882 76 5 the the DET alkej-882 76 6 model model NOUN alkej-882 76 7 is be AUX alkej-882 76 8 to to PART alkej-882 76 9 optimize optimize VERB alkej-882 76 10 the the DET alkej-882 76 11 true true ADJ alkej-882 76 12 positives positive NOUN alkej-882 76 13 and and CCONJ alkej-882 76 14 true true ADJ alkej-882 76 15 negatives negative NOUN alkej-882 76 16 , , PUNCT alkej-882 76 17 while while SCONJ alkej-882 76 18 minimizing minimize VERB alkej-882 76 19 the the DET alkej-882 76 20 false false ADJ alkej-882 76 21 positives positive NOUN alkej-882 76 22 and and CCONJ alkej-882 76 23 false false ADJ alkej-882 76 24 negatives negative NOUN alkej-882 76 25 to to PART alkej-882 76 26 achieve achieve VERB alkej-882 76 27 optimal optimal ADJ alkej-882 76 28 performance performance NOUN alkej-882 76 29 . . PUNCT alkej-882 77 1 the the DET alkej-882 77 2 total total ADJ alkej-882 77 3 number number NOUN alkej-882 77 4 of of ADP alkej-882 77 5 predictions prediction NOUN alkej-882 77 6 is be AUX alkej-882 77 7 equal equal ADJ alkej-882 77 8 to to ADP alkej-882 77 9 the the DET alkej-882 77 10 summation summation NOUN alkej-882 77 11 of of ADP alkej-882 77 12 tp tp PROPN alkej-882 77 13 , , PUNCT alkej-882 77 14 tn tn PROPN alkej-882 77 15 , , PUNCT alkej-882 77 16 fp fp PROPN alkej-882 77 17 and and CCONJ alkej-882 77 18 fn fn PROPN alkej-882 77 19 . . PUNCT alkej-882 77 20 fig fig NOUN alkej-882 77 21 . . PUNCT alkej-882 78 1 3 3 X alkej-882 78 2 . . X alkej-882 78 3 confusion confusion NOUN alkej-882 78 4 matrix matrix NOUN alkej-882 78 5 for for ADP alkej-882 78 6 a a DET alkej-882 78 7 binary binary ADJ alkej-882 78 8 classifier classifier NOUN alkej-882 78 9 . . PUNCT alkej-882 79 1 2.5 2.5 NUM alkej-882 79 2 methodology methodology NOUN alkej-882 79 3 development development NOUN alkej-882 79 4 for for ADP alkej-882 79 5 ann ann PROPN alkej-882 79 6 in in ADP alkej-882 79 7 short short ADJ alkej-882 79 8 , , PUNCT alkej-882 79 9 an an DET alkej-882 79 10 ann ann PROPN alkej-882 79 11 model model NOUN alkej-882 79 12 consists consist VERB alkej-882 79 13 of of ADP alkej-882 79 14 five five NUM alkej-882 79 15 layers layer NOUN alkej-882 79 16 stacked stack VERB alkej-882 79 17 sequentially sequentially ADV alkej-882 79 18 . . PUNCT alkej-882 80 1 each each DET alkej-882 80 2 layer layer NOUN alkej-882 80 3 is be AUX alkej-882 80 4 composed compose VERB alkej-882 80 5 of of ADP alkej-882 80 6 a a DET alkej-882 80 7 number number NOUN alkej-882 80 8 of of ADP alkej-882 80 9 neurons neuron NOUN alkej-882 80 10 . . PUNCT alkej-882 81 1 each each DET alkej-882 81 2 neuron neuron NOUN alkej-882 81 3 of of ADP alkej-882 81 4 the the DET alkej-882 81 5 first first ADJ alkej-882 81 6 layer layer NOUN alkej-882 81 7 takes take VERB alkej-882 81 8 the the DET alkej-882 81 9 input input NOUN alkej-882 81 10 feature feature NOUN alkej-882 81 11 ( ( PUNCT alkej-882 81 12 the the DET alkej-882 81 13 red red ADJ alkej-882 81 14 , , PUNCT alkej-882 81 15 green green ADJ alkej-882 81 16 , , PUNCT alkej-882 81 17 and and CCONJ alkej-882 81 18 blue blue ADJ alkej-882 81 19 values value NOUN alkej-882 81 20 ) ) PUNCT alkej-882 81 21 , , PUNCT alkej-882 81 22 multiplies multiply VERB alkej-882 81 23 it it PRON alkej-882 81 24 by by ADP alkej-882 81 25 its its PRON alkej-882 81 26 initial initial ADJ alkej-882 81 27 weight weight NOUN alkej-882 81 28 , , PUNCT alkej-882 81 29 calculates calculate VERB alkej-882 81 30 the the DET alkej-882 81 31 total total ADJ alkej-882 81 32 number number NOUN alkej-882 81 33 of of ADP alkej-882 81 34 each each DET alkej-882 81 35 neuron neuron NOUN alkej-882 81 36 together together ADV alkej-882 81 37 with with ADP alkej-882 81 38 the the DET alkej-882 81 39 bias bias NOUN alkej-882 81 40 , , PUNCT alkej-882 81 41 and and CCONJ alkej-882 81 42 then then ADV alkej-882 81 43 passes pass VERB alkej-882 81 44 it it PRON alkej-882 81 45 through through ADP alkej-882 81 46 the the DET alkej-882 81 47 activation activation NOUN alkej-882 81 48 function function NOUN alkej-882 81 49 to to ADP alkej-882 81 50 the the DET alkej-882 81 51 next next ADJ alkej-882 81 52 layer layer NOUN alkej-882 81 53 of of ADP alkej-882 81 54 neurons neuron NOUN alkej-882 81 55 , , PUNCT alkej-882 81 56 giving give VERB alkej-882 81 57 the the DET alkej-882 81 58 result result NOUN alkej-882 81 59 again again ADV alkej-882 81 60 as as ADP alkej-882 81 61 an an DET alkej-882 81 62 input input NOUN alkej-882 81 63 to to ADP alkej-882 81 64 the the DET alkej-882 81 65 next next ADJ alkej-882 81 66 layer layer NOUN alkej-882 81 67 . . PUNCT alkej-882 82 1 figure figure NOUN alkej-882 82 2 4 4 NUM alkej-882 82 3 shows show VERB alkej-882 82 4 the the DET alkej-882 82 5 segments segment NOUN alkej-882 82 6 of of ADP alkej-882 82 7 the the DET alkej-882 82 8 proposed propose VERB alkej-882 82 9 ann ann PROPN alkej-882 82 10 as as SCONJ alkej-882 82 11 follows follow VERB alkej-882 82 12 : : PUNCT alkej-882 82 13 ๏‚ท ๏‚ท PRON alkej-882 82 14 the the DET alkej-882 82 15 initial initial ADJ alkej-882 82 16 layer layer NOUN alkej-882 82 17 consists consist VERB alkej-882 82 18 of of ADP alkej-882 82 19 three three NUM alkej-882 82 20 neurons neuron NOUN alkej-882 82 21 , , PUNCT alkej-882 82 22 which which PRON alkej-882 82 23 collectively collectively ADV alkej-882 82 24 possess possess VERB alkej-882 82 25 a a DET alkej-882 82 26 total total NOUN alkej-882 82 27 of of ADP alkej-882 82 28 12 12 NUM alkej-882 82 29 parameters parameter NOUN alkej-882 82 30 . . PUNCT alkej-882 83 1 these these DET alkej-882 83 2 parameters parameter NOUN alkej-882 83 3 include include VERB alkej-882 83 4 9 9 NUM alkej-882 83 5 weights weight NOUN alkej-882 83 6 and and CCONJ alkej-882 83 7 three three NUM alkej-882 83 8 biases bias NOUN alkej-882 83 9 . . PUNCT alkej-882 84 1 the the DET alkej-882 84 2 second second ADJ alkej-882 84 3 layer layer NOUN alkej-882 84 4 , , PUNCT alkej-882 84 5 consisting consist VERB alkej-882 84 6 of of ADP alkej-882 84 7 24 24 NUM alkej-882 84 8 neurons neuron NOUN alkej-882 84 9 , , PUNCT alkej-882 84 10 contains contain VERB alkej-882 84 11 a a DET alkej-882 84 12 total total NOUN alkej-882 84 13 of of ADP alkej-882 84 14 96 96 NUM alkej-882 84 15 parameters parameter NOUN alkej-882 84 16 . . PUNCT alkej-882 85 1 these these DET alkej-882 85 2 parameters parameter NOUN alkej-882 85 3 are be AUX alkej-882 85 4 comprised comprise VERB alkej-882 85 5 of of ADP alkej-882 85 6 72 72 NUM alkej-882 85 7 weights weight NOUN alkej-882 85 8 and and CCONJ alkej-882 85 9 24 24 NUM alkej-882 85 10 biases bias NOUN alkej-882 85 11 . . PUNCT alkej-882 86 1 2.6 2.6 NUM alkej-882 86 2 analytical analytical ADJ alkej-882 86 3 framework framework NOUN alkej-882 86 4 python python NOUN alkej-882 86 5 v2.13.0 v2.13.0 NOUN alkej-882 86 6 was be AUX alkej-882 86 7 used use VERB alkej-882 86 8 to to PART alkej-882 86 9 build build VERB alkej-882 86 10 , , PUNCT alkej-882 86 11 train train NOUN alkej-882 86 12 , , PUNCT alkej-882 86 13 and and CCONJ alkej-882 86 14 validate validate VERB alkej-882 86 15 the the DET alkej-882 86 16 model model NOUN alkej-882 86 17 using use VERB alkej-882 86 18 tensorflow tensorflow NOUN alkej-882 86 19 v2.13.0 v2.13.0 NOUN alkej-882 86 20 and and CCONJ alkej-882 86 21 keras keras PROPN alkej-882 86 22 libraries library NOUN alkej-882 86 23 . . PUNCT alkej-882 87 1 tensorflow tensorflow NOUN alkej-882 87 2 uses use VERB alkej-882 87 3 a a DET alkej-882 87 4 single single ADJ alkej-882 87 5 data datum NOUN alkej-882 87 6 flow flow NOUN alkej-882 87 7 diagram diagram NOUN alkej-882 87 8 to to PART alkej-882 87 9 represent represent VERB alkej-882 87 10 all all DET alkej-882 87 11 machine machine NOUN alkej-882 87 12 learning learn VERB alkej-882 87 13 computations computation NOUN alkej-882 87 14 and and CCONJ alkej-882 87 15 states state NOUN alkej-882 87 16 . . PUNCT alkej-882 88 1 the the DET alkej-882 88 2 experimental experimental ADJ alkej-882 88 3 data datum NOUN alkej-882 88 4 collected collect VERB alkej-882 88 5 from from ADP alkej-882 88 6 the the DET alkej-882 88 7 colorimeter colorimeter NOUN alkej-882 88 8 device device NOUN alkej-882 88 9 is be AUX alkej-882 88 10 employed employ VERB alkej-882 88 11 as as ADP alkej-882 88 12 an an DET alkej-882 88 13 input input NOUN alkej-882 88 14 for for ADP alkej-882 88 15 the the DET alkej-882 88 16 ml ml PROPN alkej-882 88 17 algorithm algorithm NOUN alkej-882 88 18 . . PUNCT alkej-882 89 1 the the DET alkej-882 89 2 ann ann PROPN alkej-882 89 3 model model NOUN alkej-882 89 4 has have VERB alkej-882 89 5 five five NUM alkej-882 89 6 layers layer NOUN alkej-882 89 7 . . PUNCT alkej-882 90 1 it it PRON alkej-882 90 2 is be AUX alkej-882 90 3 a a DET alkej-882 90 4 densely densely ADV alkej-882 90 5 connected connect VERB alkej-882 90 6 neural neural ADJ alkej-882 90 7 network network NOUN alkej-882 90 8 in in ADP alkej-882 90 9 the the DET alkej-882 90 10 dense dense ADJ alkej-882 90 11 layer layer NOUN alkej-882 90 12 , , PUNCT alkej-882 90 13 also also ADV alkej-882 90 14 known know VERB alkej-882 90 15 as as ADP alkej-882 90 16 a a DET alkej-882 90 17 fully fully ADV alkej-882 90 18 connected connect VERB alkej-882 90 19 layer layer NOUN alkej-882 90 20 , , PUNCT alkej-882 90 21 and and CCONJ alkej-882 90 22 is be AUX alkej-882 90 23 a a DET alkej-882 90 24 fundamental fundamental ADJ alkej-882 90 25 component component NOUN alkej-882 90 26 of of ADP alkej-882 90 27 neural neural ADJ alkej-882 90 28 networks network NOUN alkej-882 90 29 . . PUNCT alkej-882 91 1 it it PRON alkej-882 91 2 is be AUX alkej-882 91 3 characterized characterize VERB alkej-882 91 4 by by ADP alkej-882 91 5 a a DET alkej-882 91 6 deep deep ADJ alkej-882 91 7 interconnection interconnection NOUN alkej-882 91 8 structure structure NOUN alkej-882 91 9 , , PUNCT alkej-882 91 10 wherein wherein SCONJ alkej-882 91 11 each each DET alkej-882 91 12 neuron neuron NOUN alkej-882 91 13 within within ADP alkej-882 91 14 the the DET alkej-882 91 15 dense dense ADJ alkej-882 91 16 layer layer NOUN alkej-882 91 17 receives receive VERB alkej-882 91 18 input input NOUN alkej-882 91 19 from from ADP alkej-882 91 20 every every DET alkej-882 91 21 neuron neuron NOUN alkej-882 91 22 in in ADP alkej-882 91 23 the the DET alkej-882 91 24 preceding precede VERB alkej-882 91 25 layer layer NOUN alkej-882 91 26 . . PUNCT alkej-882 92 1 the the DET alkej-882 92 2 dense dense ADJ alkej-882 92 3 layer layer NOUN alkej-882 92 4 is be AUX alkej-882 92 5 employed employ VERB alkej-882 92 6 in in ADP alkej-882 92 7 this this DET alkej-882 92 8 model model NOUN alkej-882 92 9 , , PUNCT alkej-882 92 10 making make VERB alkej-882 92 11 it it PRON alkej-882 92 12 a a DET alkej-882 92 13 widely widely ADV alkej-882 92 14 utilized utilize VERB alkej-882 92 15 component component NOUN alkej-882 92 16 . . PUNCT alkej-882 93 1 the the DET alkej-882 93 2 dense dense ADJ alkej-882 93 3 layer layer NOUN alkej-882 93 4 conducts conduct VERB alkej-882 93 5 matrix matrix NOUN alkej-882 93 6 - - PUNCT alkej-882 93 7 vector vector NOUN alkej-882 93 8 multiplication multiplication NOUN alkej-882 93 9 in in ADP alkej-882 93 10 the the DET alkej-882 93 11 underlying underlie VERB alkej-882 93 12 process process NOUN alkej-882 93 13 . . PUNCT alkej-882 94 1 the the DET alkej-882 94 2 values value NOUN alkej-882 94 3 employed employ VERB alkej-882 94 4 within within ADP alkej-882 94 5 the the DET alkej-882 94 6 matrix matrix NOUN alkej-882 94 7 are be AUX alkej-882 94 8 , , PUNCT alkej-882 94 9 in in ADP alkej-882 94 10 fact fact NOUN alkej-882 94 11 , , PUNCT alkej-882 94 12 parameters parameter NOUN alkej-882 94 13 that that PRON alkej-882 94 14 possess possess VERB alkej-882 94 15 the the DET alkej-882 94 16 capability capability NOUN alkej-882 94 17 to to PART alkej-882 94 18 be be AUX alkej-882 94 19 trained train VERB alkej-882 94 20 and and CCONJ alkej-882 94 21 adjusted adjust VERB alkej-882 94 22 through through ADP alkej-882 94 23 the the DET alkej-882 94 24 utilization utilization NOUN alkej-882 94 25 of of ADP alkej-882 94 26 backpropagation backpropagation NOUN alkej-882 94 27 . . PUNCT alkej-882 95 1 fig fig NOUN alkej-882 95 2 . . PUNCT alkej-882 96 1 4 4 X alkej-882 96 2 . . X alkej-882 96 3 the the DET alkej-882 96 4 proposed propose VERB alkej-882 96 5 ann ann PROPN alkej-882 96 6 configuration configuration NOUN alkej-882 96 7 . . PUNCT alkej-882 97 1 shahad shahad PROPN alkej-882 97 2 a. a. PROPN alkej-882 97 3 mnati mnati PROPN alkej-882 97 4 al al PROPN alkej-882 97 5 - - PUNCT alkej-882 97 6 khwarizmi khwarizmi PROPN alkej-882 97 7 engineering engineering NOUN alkej-882 97 8 journal journal PROPN alkej-882 97 9 , , PUNCT alkej-882 97 10 vol vol NOUN alkej-882 97 11 . . PROPN alkej-882 97 12 19 19 NUM alkej-882 97 13 , , PUNCT alkej-882 97 14 no no INTJ alkej-882 97 15 . . NOUN alkej-882 97 16 4 4 NUM alkej-882 97 17 , , PUNCT alkej-882 97 18 p.p p.p PROPN alkej-882 97 19 . . PROPN alkej-882 97 20 6777 6777 NUM alkej-882 97 21 ( ( PUNCT alkej-882 97 22 2023 2023 NUM alkej-882 97 23 ) ) PUNCT alkej-882 97 24 71 71 NUM alkej-882 97 25 fig fig NOUN alkej-882 97 26 . . PUNCT alkej-882 98 1 5 5 NUM alkej-882 98 2 . . PUNCT alkej-882 98 3 the the DET alkej-882 98 4 methodology methodology NOUN alkej-882 98 5 of of ADP alkej-882 98 6 the the DET alkej-882 98 7 proposed propose VERB alkej-882 98 8 ann ann PROPN alkej-882 98 9 . . PROPN alkej-882 98 10 fig fig PROPN alkej-882 98 11 . . PUNCT alkej-882 99 1 6 6 NUM alkej-882 99 2 . . X alkej-882 99 3 confusion confusion NOUN alkej-882 99 4 matrix matrix NOUN alkej-882 99 5 correlation correlation NOUN alkej-882 99 6 before before ADP alkej-882 99 7 training training NOUN alkej-882 99 8 . . PUNCT alkej-882 100 1 shahad shahad PROPN alkej-882 100 2 a. a. PROPN alkej-882 100 3 mnati mnati PROPN alkej-882 100 4 al al PROPN alkej-882 100 5 - - PUNCT alkej-882 100 6 khwarizmi khwarizmi PROPN alkej-882 100 7 engineering engineering NOUN alkej-882 100 8 journal journal PROPN alkej-882 100 9 , , PUNCT alkej-882 100 10 vol vol NOUN alkej-882 100 11 . . PROPN alkej-882 100 12 19 19 NUM alkej-882 100 13 , , PUNCT alkej-882 100 14 no no INTJ alkej-882 100 15 . . NOUN alkej-882 100 16 4 4 NUM alkej-882 100 17 , , PUNCT alkej-882 100 18 p.p p.p PROPN alkej-882 100 19 . . PROPN alkej-882 100 20 6777 6777 NUM alkej-882 100 21 ( ( PUNCT alkej-882 100 22 2023 2023 NUM alkej-882 100 23 ) ) PUNCT alkej-882 100 24 72 72 NUM alkej-882 100 25 3 3 NUM alkej-882 100 26 . . PUNCT alkej-882 100 27 results result NOUN alkej-882 100 28 and and CCONJ alkej-882 100 29 discussion discussion NOUN alkej-882 100 30 results result NOUN alkej-882 100 31 are be AUX alkej-882 100 32 obtained obtain VERB alkej-882 100 33 through through ADP alkej-882 100 34 a a DET alkej-882 100 35 number number NOUN alkej-882 100 36 of of ADP alkej-882 100 37 sequential sequential ADJ alkej-882 100 38 steps step NOUN alkej-882 100 39 in in ADP alkej-882 100 40 order order NOUN alkej-882 100 41 to to PART alkej-882 100 42 achieve achieve VERB alkej-882 100 43 and and CCONJ alkej-882 100 44 present present VERB alkej-882 100 45 the the DET alkej-882 100 46 color color NOUN alkej-882 100 47 classification classification NOUN alkej-882 100 48 . . PUNCT alkej-882 101 1 in in ADP alkej-882 101 2 the the DET alkej-882 101 3 first first ADJ alkej-882 101 4 step step NOUN alkej-882 101 5 , , PUNCT alkej-882 101 6 the the DET alkej-882 101 7 dataset dataset NOUN alkej-882 101 8 is be AUX alkej-882 101 9 obtained obtain VERB alkej-882 101 10 from from ADP alkej-882 101 11 the the DET alkej-882 101 12 measurement measurement NOUN alkej-882 101 13 of of ADP alkej-882 101 14 the the DET alkej-882 101 15 colored color VERB alkej-882 101 16 cards card NOUN alkej-882 101 17 using use VERB alkej-882 101 18 the the DET alkej-882 101 19 fabricated fabricate VERB alkej-882 101 20 colorimeter colorimeter NOUN alkej-882 101 21 and and CCONJ alkej-882 101 22 by by ADP alkej-882 101 23 recording record VERB alkej-882 101 24 the the DET alkej-882 101 25 rgb rgb PROPN alkej-882 101 26 codes code NOUN alkej-882 101 27 manually manually ADV alkej-882 101 28 . . PUNCT alkej-882 102 1 after after ADP alkej-882 102 2 that that PRON alkej-882 102 3 , , PUNCT alkej-882 102 4 preprocessing preprocessing NOUN alkej-882 102 5 is be AUX alkej-882 102 6 applied apply VERB alkej-882 102 7 in in ADP alkej-882 102 8 order order NOUN alkej-882 102 9 to to PART alkej-882 102 10 label label VERB alkej-882 102 11 and and CCONJ alkej-882 102 12 modify modify VERB alkej-882 102 13 the the DET alkej-882 102 14 null null ADJ alkej-882 102 15 data datum NOUN alkej-882 102 16 . . PUNCT alkej-882 103 1 the the DET alkej-882 103 2 training training NOUN alkej-882 103 3 and and CCONJ alkej-882 103 4 validation validation NOUN alkej-882 103 5 phase phase NOUN alkej-882 103 6 is be AUX alkej-882 103 7 the the DET alkej-882 103 8 subsequent subsequent ADJ alkej-882 103 9 step step NOUN alkej-882 103 10 which which PRON alkej-882 103 11 is be AUX alkej-882 103 12 started start VERB alkej-882 103 13 by by ADP alkej-882 103 14 adjusting adjust VERB alkej-882 103 15 the the DET alkej-882 103 16 classification classification NOUN alkej-882 103 17 settings setting NOUN alkej-882 103 18 of of ADP alkej-882 103 19 the the DET alkej-882 103 20 algorithm algorithm NOUN alkej-882 103 21 . . PUNCT alkej-882 104 1 the the DET alkej-882 104 2 prediction prediction NOUN alkej-882 104 3 phase phase NOUN alkej-882 104 4 comes come VERB alkej-882 104 5 in in ADP alkej-882 104 6 order order NOUN alkej-882 104 7 to to PART alkej-882 104 8 confirm confirm VERB alkej-882 104 9 the the DET alkej-882 104 10 accuracy accuracy NOUN alkej-882 104 11 of of ADP alkej-882 104 12 the the DET alkej-882 104 13 trained train VERB alkej-882 104 14 model model NOUN alkej-882 104 15 . . PUNCT alkej-882 105 1 eventually eventually ADV alkej-882 105 2 , , PUNCT alkej-882 105 3 the the DET alkej-882 105 4 performance performance NOUN alkej-882 105 5 metrics metric NOUN alkej-882 105 6 for for ADP alkej-882 105 7 the the DET alkej-882 105 8 algorithm algorithm NOUN alkej-882 105 9 are be AUX alkej-882 105 10 applied apply VERB alkej-882 105 11 with with ADP alkej-882 105 12 a a DET alkej-882 105 13 view view NOUN alkej-882 105 14 to to PART alkej-882 105 15 evaluate evaluate VERB alkej-882 105 16 results result NOUN alkej-882 105 17 . . PUNCT alkej-882 106 1 figure figure VERB alkej-882 106 2 6 6 NUM alkej-882 106 3 shows show VERB alkej-882 106 4 the the DET alkej-882 106 5 manner manner NOUN alkej-882 106 6 of of ADP alkej-882 106 7 data datum NOUN alkej-882 106 8 correlation correlation NOUN alkej-882 106 9 before before ADP alkej-882 106 10 the the DET alkej-882 106 11 training training NOUN alkej-882 106 12 phase phase NOUN alkej-882 106 13 . . PUNCT alkej-882 107 1 the the DET alkej-882 107 2 graphical graphical ADJ alkej-882 107 3 correlation correlation NOUN alkej-882 107 4 of of ADP alkej-882 107 5 the the DET alkej-882 107 6 rgb rgb PROPN alkej-882 107 7 data data PROPN alkej-882 107 8 is be AUX alkej-882 107 9 presented present VERB alkej-882 107 10 in in ADP alkej-882 107 11 this this DET alkej-882 107 12 section section NOUN alkej-882 107 13 . . PUNCT alkej-882 108 1 it it PRON alkej-882 108 2 is be AUX alkej-882 108 3 important important ADJ alkej-882 108 4 to to PART alkej-882 108 5 mention mention VERB alkej-882 108 6 that that SCONJ alkej-882 108 7 the the DET alkej-882 108 8 dataset dataset NOUN alkej-882 108 9 was be AUX alkej-882 108 10 split split VERB alkej-882 108 11 into into ADP alkej-882 108 12 training training NOUN alkej-882 108 13 data datum NOUN alkej-882 108 14 , , PUNCT alkej-882 108 15 testing testing NOUN alkej-882 108 16 data datum NOUN alkej-882 108 17 , , PUNCT alkej-882 108 18 and and CCONJ alkej-882 108 19 the the DET alkej-882 108 20 setup setup NOUN alkej-882 108 21 of of ADP alkej-882 108 22 the the DET alkej-882 108 23 ann ann PROPN alkej-882 108 24 layers layer NOUN alkej-882 108 25 which which PRON alkej-882 108 26 requires require VERB alkej-882 108 27 the the DET alkej-882 108 28 use use NOUN alkej-882 108 29 of of ADP alkej-882 108 30 proper proper ADJ alkej-882 108 31 neural neural ADJ alkej-882 108 32 network network NOUN alkej-882 108 33 settings setting NOUN alkej-882 108 34 to to PART alkej-882 108 35 get get VERB alkej-882 108 36 better well ADJ alkej-882 108 37 results result NOUN alkej-882 108 38 . . PUNCT alkej-882 109 1 the the DET alkej-882 109 2 confusion confusion NOUN alkej-882 109 3 matrix matrix NOUN alkej-882 109 4 is be AUX alkej-882 109 5 used use VERB alkej-882 109 6 to to PART alkej-882 109 7 evaluate evaluate VERB alkej-882 109 8 the the DET alkej-882 109 9 performance performance NOUN alkej-882 109 10 of of ADP alkej-882 109 11 a a DET alkej-882 109 12 classifier classifier NOUN alkej-882 109 13 using use VERB alkej-882 109 14 python python NOUN alkej-882 109 15 software software NOUN alkej-882 109 16 . . PUNCT alkej-882 110 1 actual actual ADJ alkej-882 110 2 labels label NOUN alkej-882 110 3 are be AUX alkej-882 110 4 represented represent VERB alkej-882 110 5 by by ADP alkej-882 110 6 rows row NOUN alkej-882 110 7 , , PUNCT alkej-882 110 8 while while SCONJ alkej-882 110 9 the the DET alkej-882 110 10 predicted predict VERB alkej-882 110 11 labels label NOUN alkej-882 110 12 are be AUX alkej-882 110 13 represented represent VERB alkej-882 110 14 by by ADP alkej-882 110 15 columns column NOUN alkej-882 110 16 . . PUNCT alkej-882 111 1 to to PART alkej-882 111 2 get get VERB alkej-882 111 3 better well ADJ alkej-882 111 4 classification classification NOUN alkej-882 111 5 results result NOUN alkej-882 111 6 , , PUNCT alkej-882 111 7 the the DET alkej-882 111 8 ann ann PROPN alkej-882 111 9 algorithm algorithm NOUN alkej-882 111 10 was be AUX alkej-882 111 11 adjusted adjust VERB alkej-882 111 12 at at ADP alkej-882 111 13 certain certain ADJ alkej-882 111 14 settings setting NOUN alkej-882 111 15 such such ADJ alkej-882 111 16 as as ADP alkej-882 111 17 the the DET alkej-882 111 18 number number NOUN alkej-882 111 19 of of ADP alkej-882 111 20 epochs epoch NOUN alkej-882 111 21 = = SYM alkej-882 111 22 5001 5001 NUM alkej-882 111 23 , , PUNCT alkej-882 111 24 verbose=0 verbose=0 NOUN alkej-882 111 25 , , PUNCT alkej-882 111 26 batch_size batch_size NOUN alkej-882 111 27 = = SYM alkej-882 111 28 2048 2048 NUM alkej-882 111 29 , , PUNCT alkej-882 111 30 and and CCONJ alkej-882 111 31 validation_split validation_split NOUN alkej-882 111 32 = = NOUN alkej-882 111 33 0.2 0.2 NUM alkej-882 111 34 . . PUNCT alkej-882 112 1 the the DET alkej-882 112 2 relationship relationship NOUN alkej-882 112 3 between between ADP alkej-882 112 4 training training NOUN alkej-882 112 5 and and CCONJ alkej-882 112 6 validation validation NOUN alkej-882 112 7 versus versus ADP alkej-882 112 8 the the DET alkej-882 112 9 no no NOUN alkej-882 112 10 . . PUNCT alkej-882 113 1 epochs epoch NOUN alkej-882 113 2 are be AUX alkej-882 113 3 shown show VERB alkej-882 113 4 in in ADP alkej-882 113 5 figure figure NOUN alkej-882 113 6 6 6 NUM alkej-882 113 7 . . PUNCT alkej-882 114 1 here here ADV alkej-882 114 2 , , PUNCT alkej-882 114 3 the the DET alkej-882 114 4 โ€˜ ' PUNCT alkej-882 114 5 epochs epoch NOUN alkej-882 114 6 โ€™ ' PUNCT alkej-882 114 7 means mean VERB alkej-882 114 8 the the DET alkej-882 114 9 number number NOUN alkej-882 114 10 of of ADP alkej-882 114 11 times time NOUN alkej-882 114 12 at at ADP alkej-882 114 13 which which PRON alkej-882 114 14 the the DET alkej-882 114 15 model model NOUN alkej-882 114 16 iterates iterate VERB alkej-882 114 17 over over ADP alkej-882 114 18 the the DET alkej-882 114 19 entire entire ADJ alkej-882 114 20 x x PUNCT alkej-882 114 21 and and CCONJ alkej-882 114 22 y y PROPN alkej-882 114 23 data datum NOUN alkej-882 114 24 while while SCONJ alkej-882 114 25 training training NOUN alkej-882 114 26 . . PUNCT alkej-882 115 1 batch batch NOUN alkej-882 115 2 size size NOUN alkej-882 115 3 is be AUX alkej-882 115 4 the the DET alkej-882 115 5 number number NOUN alkej-882 115 6 of of ADP alkej-882 115 7 samples sample NOUN alkej-882 115 8 after after ADP alkej-882 115 9 which which PRON alkej-882 115 10 the the DET alkej-882 115 11 parameters parameter NOUN alkej-882 115 12 are be AUX alkej-882 115 13 updated update VERB alkej-882 115 14 while while SCONJ alkej-882 115 15 training training NOUN alkej-882 115 16 . . PUNCT alkej-882 116 1 verbose verbose PROPN alkej-882 116 2 is be AUX alkej-882 116 3 used use VERB alkej-882 116 4 for for ADP alkej-882 116 5 displaying display VERB alkej-882 116 6 the the DET alkej-882 116 7 training training NOUN alkej-882 116 8 progress progress NOUN alkej-882 116 9 . . PUNCT alkej-882 117 1 fig fig NOUN alkej-882 117 2 . . PUNCT alkej-882 118 1 7 7 X alkej-882 118 2 . . PUNCT alkej-882 118 3 the the DET alkej-882 118 4 accuracy accuracy NOUN alkej-882 118 5 of of ADP alkej-882 118 6 the the DET alkej-882 118 7 training training NOUN alkej-882 118 8 process process NOUN alkej-882 118 9 of of ADP alkej-882 118 10 the the DET alkej-882 118 11 ann ann PROPN alkej-882 118 12 model model NOUN alkej-882 118 13 . . PUNCT alkej-882 119 1 moreover moreover ADV alkej-882 119 2 , , PUNCT alkej-882 119 3 the the DET alkej-882 119 4 loss loss NOUN alkej-882 119 5 of of ADP alkej-882 119 6 the the DET alkej-882 119 7 ann ann PROPN alkej-882 119 8 model model NOUN alkej-882 119 9 is be AUX alkej-882 119 10 shown show VERB alkej-882 119 11 in in ADP alkej-882 119 12 figure figure NOUN alkej-882 119 13 6 6 NUM alkej-882 119 14 which which PRON alkej-882 119 15 indicates indicate VERB alkej-882 119 16 that that SCONJ alkej-882 119 17 the the DET alkej-882 119 18 accuracy accuracy NOUN alkej-882 119 19 is be AUX alkej-882 119 20 improving improve VERB alkej-882 119 21 during during ADP alkej-882 119 22 the the DET alkej-882 119 23 training training NOUN alkej-882 119 24 phase phase NOUN alkej-882 119 25 . . PUNCT alkej-882 120 1 also also ADV alkej-882 120 2 , , PUNCT alkej-882 120 3 it it PRON alkej-882 120 4 can can AUX alkej-882 120 5 be be AUX alkej-882 120 6 seen see VERB alkej-882 120 7 that that SCONJ alkej-882 120 8 both both DET alkej-882 120 9 training training NOUN alkej-882 120 10 and and CCONJ alkej-882 120 11 validation validation NOUN alkej-882 120 12 accuracies accuracy NOUN alkej-882 120 13 are be AUX alkej-882 120 14 matched match VERB alkej-882 120 15 at at ADP alkej-882 120 16 90 90 NUM alkej-882 120 17 % % NOUN alkej-882 120 18 which which PRON alkej-882 120 19 means mean VERB alkej-882 120 20 that that SCONJ alkej-882 120 21 the the DET alkej-882 120 22 classification classification NOUN alkej-882 120 23 algorithm algorithm NOUN alkej-882 120 24 is be AUX alkej-882 120 25 efficient efficient ADJ alkej-882 120 26 . . PUNCT alkej-882 121 1 fig fig NOUN alkej-882 121 2 . . PUNCT alkej-882 122 1 8 8 NUM alkej-882 122 2 . . PUNCT alkej-882 123 1 the the DET alkej-882 123 2 loss loss NOUN alkej-882 123 3 of of ADP alkej-882 123 4 the the DET alkej-882 123 5 training training NOUN alkej-882 123 6 process process NOUN alkej-882 123 7 of of ADP alkej-882 123 8 the the DET alkej-882 123 9 ann ann PROPN alkej-882 123 10 model model NOUN alkej-882 123 11 . . PUNCT alkej-882 124 1 in in ADP alkej-882 124 2 addition addition NOUN alkej-882 124 3 to to ADP alkej-882 124 4 the the DET alkej-882 124 5 training training NOUN alkej-882 124 6 and and CCONJ alkej-882 124 7 validation validation NOUN alkej-882 124 8 of of ADP alkej-882 124 9 the the DET alkej-882 124 10 data datum NOUN alkej-882 124 11 , , PUNCT alkej-882 124 12 the the DET alkej-882 124 13 built build VERB alkej-882 124 14 and and CCONJ alkej-882 124 15 saved save VERB alkej-882 124 16 ann ann PROPN alkej-882 124 17 model model NOUN alkej-882 124 18 was be AUX alkej-882 124 19 used use VERB alkej-882 124 20 in in ADP alkej-882 124 21 the the DET alkej-882 124 22 prediction prediction NOUN alkej-882 124 23 phase phase NOUN alkej-882 124 24 . . PUNCT alkej-882 125 1 figure figure NOUN alkej-882 125 2 9a 9a NOUN alkej-882 125 3 shows show VERB alkej-882 125 4 the the DET alkej-882 125 5 visualization visualization NOUN alkej-882 125 6 of of ADP alkej-882 125 7 the the DET alkej-882 125 8 actual actual ADJ alkej-882 125 9 values value NOUN alkej-882 125 10 and and CCONJ alkej-882 125 11 the the DET alkej-882 125 12 predicted predict VERB alkej-882 125 13 values value NOUN alkej-882 125 14 based base VERB alkej-882 125 15 on on ADP alkej-882 125 16 the the DET alkej-882 125 17 ann ann PROPN alkej-882 125 18 model model NOUN alkej-882 125 19 training training NOUN alkej-882 125 20 data datum NOUN alkej-882 125 21 . . PUNCT alkej-882 126 1 the the DET alkej-882 126 2 visualization visualization NOUN alkej-882 126 3 of of ADP alkej-882 126 4 the the DET alkej-882 126 5 actual actual ADJ alkej-882 126 6 values value NOUN alkej-882 126 7 and and CCONJ alkej-882 126 8 predicted predict VERB alkej-882 126 9 values value NOUN alkej-882 126 10 of of ADP alkej-882 126 11 the the DET alkej-882 126 12 tested test VERB alkej-882 126 13 data datum NOUN alkej-882 126 14 after after ADP alkej-882 126 15 using use VERB alkej-882 126 16 the the DET alkej-882 126 17 ann ann PROPN alkej-882 126 18 model model NOUN alkej-882 126 19 showed show VERB alkej-882 126 20 an an DET alkej-882 126 21 acceptable acceptable ADJ alkej-882 126 22 match match NOUN alkej-882 126 23 as as SCONJ alkej-882 126 24 seen see VERB alkej-882 126 25 in in ADP alkej-882 126 26 figure figure NOUN alkej-882 126 27 9b 9b NOUN alkej-882 126 28 . . PUNCT alkej-882 127 1 ( ( PUNCT alkej-882 127 2 a a X alkej-882 127 3 ) ) PUNCT alkej-882 127 4 ( ( PUNCT alkej-882 127 5 b b X alkej-882 127 6 ) ) PUNCT alkej-882 127 7 fig fig NOUN alkej-882 127 8 . . PUNCT alkej-882 128 1 9 9 X alkej-882 128 2 . . X alkej-882 128 3 the the DET alkej-882 128 4 prediction prediction NOUN alkej-882 128 5 of of ADP alkej-882 128 6 the the DET alkej-882 128 7 trained train VERB alkej-882 128 8 model model NOUN alkej-882 128 9 and and CCONJ alkej-882 128 10 b b NOUN alkej-882 128 11 ) ) PUNCT alkej-882 128 12 tested test VERB alkej-882 128 13 model model NOUN alkej-882 128 14 . . PUNCT alkej-882 129 1 shahad shahad PROPN alkej-882 129 2 a. a. PROPN alkej-882 129 3 mnati mnati PROPN alkej-882 129 4 al al PROPN alkej-882 129 5 - - PUNCT alkej-882 129 6 khwarizmi khwarizmi PROPN alkej-882 129 7 engineering engineering NOUN alkej-882 129 8 journal journal PROPN alkej-882 129 9 , , PUNCT alkej-882 129 10 vol vol NOUN alkej-882 129 11 . . PROPN alkej-882 129 12 19 19 NUM alkej-882 129 13 , , PUNCT alkej-882 129 14 no no INTJ alkej-882 129 15 . . NOUN alkej-882 129 16 4 4 NUM alkej-882 129 17 , , PUNCT alkej-882 129 18 p.p p.p PROPN alkej-882 129 19 . . PROPN alkej-882 129 20 6777 6777 NUM alkej-882 129 21 ( ( PUNCT alkej-882 129 22 2023 2023 NUM alkej-882 129 23 ) ) PUNCT alkej-882 129 24 73 73 NUM alkej-882 129 25 figure figure NOUN alkej-882 129 26 10 10 NUM alkej-882 129 27 shows show VERB alkej-882 129 28 the the DET alkej-882 129 29 confusion confusion NOUN alkej-882 129 30 matrix matrix NOUN alkej-882 129 31 of of ADP alkej-882 129 32 the the DET alkej-882 129 33 trained train VERB alkej-882 129 34 data datum NOUN alkej-882 129 35 for for ADP alkej-882 129 36 the the DET alkej-882 129 37 labeled label VERB alkej-882 129 38 color color NOUN alkej-882 129 39 . . PUNCT alkej-882 130 1 looking look VERB alkej-882 130 2 at at ADP alkej-882 130 3 the the DET alkej-882 130 4 first first ADJ alkej-882 130 5 value value NOUN alkej-882 130 6 ( ( PUNCT alkej-882 130 7 158 158 NUM alkej-882 130 8 ) ) PUNCT alkej-882 130 9 gives give VERB alkej-882 130 10 a a DET alkej-882 130 11 piece piece NOUN alkej-882 130 12 of of ADP alkej-882 130 13 information information NOUN alkej-882 130 14 that that PRON alkej-882 130 15 the the DET alkej-882 130 16 model model NOUN alkej-882 130 17 predicts predict VERB alkej-882 130 18 the the DET alkej-882 130 19 presence presence NOUN alkej-882 130 20 of of ADP alkej-882 130 21 158 158 NUM alkej-882 130 22 unique unique ADJ alkej-882 130 23 shades shade NOUN alkej-882 130 24 of of ADP alkej-882 130 25 red red ADJ alkej-882 130 26 . . PUNCT alkej-882 131 1 as as SCONJ alkej-882 131 2 seen see VERB alkej-882 131 3 in in ADP alkej-882 131 4 the the DET alkej-882 131 5 figure figure NOUN alkej-882 131 6 , , PUNCT alkej-882 131 7 the the DET alkej-882 131 8 first first ADJ alkej-882 131 9 pink pink ADJ alkej-882 131 10 value value NOUN alkej-882 131 11 in in ADP alkej-882 131 12 the the DET alkej-882 131 13 sixth sixth ADJ alkej-882 131 14 row row NOUN alkej-882 131 15 is be AUX alkej-882 131 16 16 16 NUM alkej-882 131 17 , , PUNCT alkej-882 131 18 which which PRON alkej-882 131 19 means mean VERB alkej-882 131 20 there there PRON alkej-882 131 21 are be VERB alkej-882 131 22 16 16 NUM alkej-882 131 23 instances instance NOUN alkej-882 131 24 of of ADP alkej-882 131 25 pink pink ADV alkej-882 131 26 incorrectly incorrectly ADV alkej-882 131 27 identified identify VERB alkej-882 131 28 as as ADP alkej-882 131 29 red red ADJ alkej-882 132 1 . . PUNCT alkej-882 132 2 table table NOUN alkej-882 132 3 1 1 NUM alkej-882 132 4 tabulates tabulate VERB alkej-882 132 5 the the DET alkej-882 132 6 values value NOUN alkej-882 132 7 of of ADP alkej-882 132 8 performance performance NOUN alkej-882 132 9 measures measure NOUN alkej-882 132 10 for for ADP alkej-882 132 11 the the DET alkej-882 132 12 trained train VERB alkej-882 132 13 data datum NOUN alkej-882 132 14 . . PUNCT alkej-882 133 1 it it PRON alkej-882 133 2 can can AUX alkej-882 133 3 be be AUX alkej-882 133 4 seen see VERB alkej-882 133 5 that that SCONJ alkej-882 133 6 the the DET alkej-882 133 7 ml ml PROPN alkej-882 133 8 model model NOUN alkej-882 133 9 correctly correctly ADV alkej-882 133 10 predicts predict VERB alkej-882 133 11 the the DET alkej-882 133 12 color color NOUN alkej-882 133 13 green green ADJ alkej-882 133 14 96 96 NUM alkej-882 133 15 % % NOUN alkej-882 133 16 of of ADP alkej-882 133 17 the the DET alkej-882 133 18 time time NOUN alkej-882 133 19 , , PUNCT alkej-882 133 20 as as ADV alkej-882 133 21 well well ADV alkej-882 133 22 as as ADP alkej-882 133 23 other other ADJ alkej-882 133 24 colors color NOUN alkej-882 133 25 with with ADP alkej-882 133 26 different different ADJ alkej-882 133 27 percentages percentage NOUN alkej-882 133 28 , , PUNCT alkej-882 133 29 with with ADP alkej-882 133 30 an an DET alkej-882 133 31 accuracy accuracy NOUN alkej-882 133 32 of of ADP alkej-882 133 33 89 89 NUM alkej-882 133 34 % % NOUN alkej-882 133 35 for for ADP alkej-882 133 36 all all DET alkej-882 133 37 eleven eleven NUM alkej-882 133 38 classes class NOUN alkej-882 133 39 . . PUNCT alkej-882 134 1 table table NOUN alkej-882 134 2 1 1 NUM alkej-882 134 3 , , PUNCT alkej-882 134 4 the the DET alkej-882 134 5 performance performance NOUN alkej-882 134 6 measures measure VERB alkej-882 134 7 the the DET alkej-882 134 8 trained train VERB alkej-882 134 9 model model NOUN alkej-882 134 10 . . PUNCT alkej-882 135 1 fig fig NOUN alkej-882 135 2 . . PUNCT alkej-882 136 1 10 10 NUM alkej-882 136 2 . . PUNCT alkej-882 136 3 confusion confusion NOUN alkej-882 136 4 matrix matrix NOUN alkej-882 136 5 correlation correlation NOUN alkej-882 136 6 after after ADP alkej-882 136 7 training training NOUN alkej-882 136 8 . . PUNCT alkej-882 137 1 figure figure NOUN alkej-882 137 2 11 11 NUM alkej-882 137 3 shows show VERB alkej-882 137 4 the the DET alkej-882 137 5 confusion confusion NOUN alkej-882 137 6 matrix matrix NOUN alkej-882 137 7 of of ADP alkej-882 137 8 the the DET alkej-882 137 9 tested test VERB alkej-882 137 10 data datum NOUN alkej-882 137 11 for for ADP alkej-882 137 12 labeled label VERB alkej-882 137 13 colors color NOUN alkej-882 137 14 . . PUNCT alkej-882 138 1 it it PRON alkej-882 138 2 is be AUX alkej-882 138 3 well well ADV alkej-882 138 4 known know VERB alkej-882 138 5 that that SCONJ alkej-882 138 6 this this DET alkej-882 138 7 model model NOUN alkej-882 138 8 predicts predict VERB alkej-882 138 9 the the DET alkej-882 138 10 existence existence NOUN alkej-882 138 11 of of ADP alkej-882 138 12 thirty thirty NUM alkej-882 138 13 - - PUNCT alkej-882 138 14 six six NUM alkej-882 138 15 unique unique ADJ alkej-882 138 16 shades shade NOUN alkej-882 138 17 represented represent VERB alkej-882 138 18 by by ADP alkej-882 138 19 the the DET alkej-882 138 20 first first ADJ alkej-882 138 21 value value NOUN alkej-882 138 22 of of ADP alkej-882 138 23 red red ADJ alkej-882 138 24 ( ( PUNCT alkej-882 138 25 36 36 NUM alkej-882 138 26 ) ) PUNCT alkej-882 138 27 . . PUNCT alkej-882 139 1 the the DET alkej-882 139 2 first first ADJ alkej-882 139 3 pink pink ADJ alkej-882 139 4 value value NOUN alkej-882 139 5 in in ADP alkej-882 139 6 the the DET alkej-882 139 7 sixth sixth ADJ alkej-882 139 8 row row NOUN alkej-882 139 9 is be AUX alkej-882 139 10 six six NUM alkej-882 139 11 , , PUNCT alkej-882 139 12 which which PRON alkej-882 139 13 means mean VERB alkej-882 139 14 that that SCONJ alkej-882 139 15 there there PRON alkej-882 139 16 were be VERB alkej-882 139 17 6 6 NUM alkej-882 139 18 instances instance NOUN alkej-882 139 19 in in ADP alkej-882 139 20 which which PRON alkej-882 139 21 pink pink ADJ alkej-882 139 22 was be AUX alkej-882 139 23 incorrectly incorrectly ADV alkej-882 139 24 identified identify VERB alkej-882 139 25 as as ADP alkej-882 139 26 red red ADJ alkej-882 139 27 . . PUNCT alkej-882 139 28 table table NOUN alkej-882 139 29 2 2 NUM alkej-882 139 30 tabulates tabulate VERB alkej-882 139 31 the the DET alkej-882 139 32 values value NOUN alkej-882 139 33 of of ADP alkej-882 139 34 the the DET alkej-882 139 35 performance performance NOUN alkej-882 139 36 measures measure NOUN alkej-882 139 37 of of ADP alkej-882 139 38 the the DET alkej-882 139 39 tested test VERB alkej-882 139 40 data datum NOUN alkej-882 139 41 . . PUNCT alkej-882 140 1 it it PRON alkej-882 140 2 can can AUX alkej-882 140 3 be be AUX alkej-882 140 4 seen see VERB alkej-882 140 5 that that SCONJ alkej-882 140 6 the the DET alkej-882 140 7 ml ml PROPN alkej-882 140 8 model model NOUN alkej-882 140 9 correctly correctly ADV alkej-882 140 10 predicts predict VERB alkej-882 140 11 the the DET alkej-882 140 12 color color NOUN alkej-882 140 13 green green ADJ alkej-882 140 14 94 94 NUM alkej-882 140 15 % % NOUN alkej-882 140 16 of of ADP alkej-882 140 17 the the DET alkej-882 140 18 time time NOUN alkej-882 140 19 , , PUNCT alkej-882 140 20 as as ADV alkej-882 140 21 well well ADV alkej-882 140 22 as as ADP alkej-882 140 23 other other ADJ alkej-882 140 24 colors color NOUN alkej-882 140 25 with with ADP alkej-882 140 26 different different ADJ alkej-882 140 27 percentages percentage NOUN alkej-882 140 28 , , PUNCT alkej-882 140 29 and and CCONJ alkej-882 140 30 has have VERB alkej-882 140 31 an an DET alkej-882 140 32 accuracy accuracy NOUN alkej-882 140 33 of of ADP alkej-882 140 34 90 90 NUM alkej-882 140 35 % % NOUN alkej-882 140 36 for for ADP alkej-882 140 37 all all DET alkej-882 140 38 eleven eleven NUM alkej-882 140 39 classes class NOUN alkej-882 140 40 . . PUNCT alkej-882 141 1 precision precision NOUN alkej-882 141 2 recall recall NOUN alkej-882 141 3 f1score f1score PROPN alkej-882 141 4 support support NOUN alkej-882 141 5 red red ADJ alkej-882 141 6 0.79 0.79 NUM alkej-882 141 7 0.83 0.83 NUM alkej-882 141 8 0.81 0.81 NUM alkej-882 141 9 190 190 NUM alkej-882 141 10 green green ADJ alkej-882 141 11 0.96 0.96 NUM alkej-882 141 12 0.95 0.95 NUM alkej-882 141 13 0.95 0.95 NUM alkej-882 141 14 1168 1168 NUM alkej-882 141 15 blue blue NOUN alkej-882 141 16 0.94 0.94 NUM alkej-882 141 17 0.93 0.93 NUM alkej-882 141 18 0.93 0.93 NUM alkej-882 141 19 885 885 NUM alkej-882 141 20 yellow yellow ADJ alkej-882 141 21 0.87 0.87 NUM alkej-882 141 22 0.80 0.80 NUM alkej-882 141 23 0.83 0.83 NUM alkej-882 141 24 225 225 NUM alkej-882 141 25 orange orange NOUN alkej-882 141 26 0.81 0.81 NUM alkej-882 141 27 0.83 0.83 NUM alkej-882 141 28 0.82 0.82 NUM alkej-882 141 29 167 167 NUM alkej-882 141 30 pink pink ADJ alkej-882 141 31 0.89 0.89 NUM alkej-882 141 32 0.83 0.83 NUM alkej-882 141 33 0.86 0.86 NUM alkej-882 141 34 451 451 NUM alkej-882 141 35 purple purple ADJ alkej-882 141 36 0.82 0.82 NUM alkej-882 141 37 0.86 0.86 NUM alkej-882 141 38 0.84 0.84 NUM alkej-882 141 39 450 450 NUM alkej-882 141 40 brown brown NOUN alkej-882 141 41 0.84 0.84 NUM alkej-882 141 42 0.91 0.91 NUM alkej-882 141 43 0.87 0.87 NUM alkej-882 141 44 311 311 NUM alkej-882 141 45 grey grey NOUN alkej-882 141 46 0.73 0.73 NUM alkej-882 141 47 0.80 0.80 NUM alkej-882 141 48 0.76 0.76 NUM alkej-882 141 49 144 144 NUM alkej-882 141 50 black black ADJ alkej-882 141 51 0.88 0.88 NUM alkej-882 141 52 0.88 0.88 NUM alkej-882 141 53 0.88 0.88 NUM alkej-882 141 54 16 16 NUM alkej-882 141 55 white white ADJ alkej-882 141 56 0.70 0.70 NUM alkej-882 141 57 0.58 0.58 NUM alkej-882 141 58 0.64 0.64 NUM alkej-882 141 59 24 24 NUM alkej-882 141 60 accuracy accuracy NOUN alkej-882 141 61 0.89 0.89 NUM alkej-882 141 62 4004 4004 NUM alkej-882 141 63 macro macro NOUN alkej-882 141 64 avg avg NOUN alkej-882 141 65 0.84 0.84 NUM alkej-882 141 66 0.84 0.84 NUM alkej-882 141 67 0.84 0.84 NUM alkej-882 141 68 4004 4004 NUM alkej-882 141 69 weighted weight VERB alkej-882 141 70 avg avg NOUN alkej-882 141 71 0.89 0.89 NUM alkej-882 141 72 0.89 0.89 NUM alkej-882 141 73 0.89 0.89 NUM alkej-882 141 74 4004 4004 NUM alkej-882 141 75 shahad shahad NOUN alkej-882 141 76 a. a. NOUN alkej-882 141 77 mnati mnati PROPN alkej-882 141 78 al al PROPN alkej-882 141 79 - - PUNCT alkej-882 141 80 khwarizmi khwarizmi PROPN alkej-882 141 81 engineering engineering NOUN alkej-882 141 82 journal journal PROPN alkej-882 141 83 , , PUNCT alkej-882 141 84 vol vol NOUN alkej-882 141 85 . . PROPN alkej-882 141 86 19 19 NUM alkej-882 141 87 , , PUNCT alkej-882 141 88 no no INTJ alkej-882 141 89 . . NOUN alkej-882 141 90 4 4 NUM alkej-882 141 91 , , PUNCT alkej-882 141 92 p.p p.p PROPN alkej-882 141 93 . . PROPN alkej-882 141 94 6777 6777 NUM alkej-882 141 95 ( ( PUNCT alkej-882 141 96 2023 2023 NUM alkej-882 141 97 ) ) PUNCT alkej-882 141 98 74 74 NUM alkej-882 141 99 the the DET alkej-882 141 100 general general ADJ alkej-882 141 101 evaluation evaluation NOUN alkej-882 141 102 of of ADP alkej-882 141 103 the the DET alkej-882 141 104 trained train VERB alkej-882 141 105 model model NOUN alkej-882 141 106 is be AUX alkej-882 141 107 good good ADJ alkej-882 141 108 with with ADP alkej-882 141 109 acceptable acceptable ADJ alkej-882 141 110 performance performance NOUN alkej-882 141 111 represented represent VERB alkej-882 141 112 by by ADP alkej-882 141 113 an an DET alkej-882 141 114 accuracy accuracy NOUN alkej-882 141 115 of of ADP alkej-882 141 116 89 89 NUM alkej-882 141 117 % % NOUN alkej-882 141 118 which which PRON alkej-882 141 119 may may AUX alkej-882 141 120 be be AUX alkej-882 141 121 improved improve VERB alkej-882 141 122 by by ADP alkej-882 141 123 working work VERB alkej-882 141 124 with with ADP alkej-882 141 125 more more ADJ alkej-882 141 126 epochs epoch NOUN alkej-882 141 127 . . PUNCT alkej-882 142 1 the the DET alkej-882 142 2 tested test VERB alkej-882 142 3 data datum NOUN alkej-882 142 4 showed show VERB alkej-882 142 5 an an DET alkej-882 142 6 accuracy accuracy NOUN alkej-882 142 7 of of ADP alkej-882 142 8 90 90 NUM alkej-882 142 9 % % NOUN alkej-882 142 10 and and CCONJ alkej-882 142 11 better well ADJ alkej-882 142 12 performance performance NOUN alkej-882 142 13 metrics metric NOUN alkej-882 142 14 in in ADP alkej-882 142 15 the the DET alkej-882 142 16 colors color NOUN alkej-882 142 17 green green ADJ alkej-882 142 18 , , PUNCT alkej-882 142 19 blue blue ADJ alkej-882 142 20 , , PUNCT alkej-882 142 21 black black ADJ alkej-882 142 22 , , PUNCT alkej-882 142 23 white white ADJ alkej-882 142 24 , , PUNCT alkej-882 142 25 and and CCONJ alkej-882 142 26 purple purple ADJ alkej-882 142 27 . . PUNCT alkej-882 143 1 fig fig NOUN alkej-882 143 2 . . PUNCT alkej-882 144 1 11 11 NUM alkej-882 144 2 . . PUNCT alkej-882 144 3 confusion confusion NOUN alkej-882 144 4 matrix matrix NOUN alkej-882 144 5 correlation correlation NOUN alkej-882 144 6 after after ADP alkej-882 144 7 testing testing NOUN alkej-882 144 8 . . PUNCT alkej-882 145 1 table table NOUN alkej-882 145 2 2 2 NUM alkej-882 145 3 , , PUNCT alkej-882 145 4 the the DET alkej-882 145 5 performance performance NOUN alkej-882 145 6 measures measure VERB alkej-882 145 7 the the DET alkej-882 145 8 tested test VERB alkej-882 145 9 model model NOUN alkej-882 145 10 . . PUNCT alkej-882 146 1 4 4 X alkej-882 146 2 . . X alkej-882 146 3 conclusion conclusion NOUN alkej-882 146 4 in in ADP alkej-882 146 5 this this DET alkej-882 146 6 work work NOUN alkej-882 146 7 , , PUNCT alkej-882 146 8 a a DET alkej-882 146 9 proposed propose VERB alkej-882 146 10 ann ann PROPN alkej-882 146 11 model model NOUN alkej-882 146 12 offers offer VERB alkej-882 146 13 a a DET alkej-882 146 14 non non ADJ alkej-882 146 15 - - ADJ alkej-882 146 16 parametric parametric ADJ alkej-882 146 17 , , PUNCT alkej-882 146 18 user user NOUN alkej-882 146 19 - - PUNCT alkej-882 146 20 friendly friendly ADJ alkej-882 146 21 , , PUNCT alkej-882 146 22 comprehensive comprehensive ADJ alkej-882 146 23 alternative alternative NOUN alkej-882 146 24 to to ADP alkej-882 146 25 traditional traditional ADJ alkej-882 146 26 statistical statistical ADJ alkej-882 146 27 methods method NOUN alkej-882 146 28 used use VERB alkej-882 146 29 in in ADP alkej-882 146 30 classifying classify VERB alkej-882 146 31 rgb rgb PROPN alkej-882 146 32 colors color NOUN alkej-882 146 33 . . PUNCT alkej-882 147 1 about about ADV alkej-882 147 2 5000 5000 NUM alkej-882 147 3 samples sample NOUN alkej-882 147 4 of of ADP alkej-882 147 5 rgb rgb PROPN alkej-882 147 6 colors color NOUN alkej-882 147 7 were be AUX alkej-882 147 8 utilized utilize VERB alkej-882 147 9 to to PART alkej-882 147 10 create create VERB alkej-882 147 11 the the DET alkej-882 147 12 dataset dataset NOUN alkej-882 147 13 by by ADP alkej-882 147 14 applying apply VERB alkej-882 147 15 measurements measurement NOUN alkej-882 147 16 to to ADP alkej-882 147 17 a a DET alkej-882 147 18 number number NOUN alkej-882 147 19 of of ADP alkej-882 147 20 standard standard ADJ alkej-882 147 21 colored color VERB alkej-882 147 22 cards card NOUN alkej-882 147 23 through through ADP alkej-882 147 24 a a DET alkej-882 147 25 lab lab NOUN alkej-882 147 26 - - PUNCT alkej-882 147 27 designed design VERB alkej-882 147 28 and and CCONJ alkej-882 147 29 implemented implement VERB alkej-882 147 30 colorimeter colorimeter NOUN alkej-882 147 31 . . PUNCT alkej-882 148 1 the the DET alkej-882 148 2 dataset dataset NOUN alkej-882 148 3 has have AUX alkej-882 148 4 been be AUX alkej-882 148 5 preprocessed preprocesse VERB alkej-882 148 6 to to PART alkej-882 148 7 eliminate eliminate VERB alkej-882 148 8 some some DET alkej-882 148 9 unidentified unidentified ADJ alkej-882 148 10 samples sample NOUN alkej-882 148 11 that that PRON alkej-882 148 12 are be AUX alkej-882 148 13 considered consider VERB alkej-882 148 14 null null ADJ alkej-882 148 15 data datum NOUN alkej-882 148 16 . . PUNCT alkej-882 149 1 the the DET alkej-882 149 2 established establish VERB alkej-882 149 3 neural neural ADJ alkej-882 149 4 network network NOUN alkej-882 149 5 has have AUX alkej-882 149 6 been be AUX alkej-882 149 7 well well ADV alkej-882 149 8 set set VERB alkej-882 149 9 to to PART alkej-882 149 10 provide provide VERB alkej-882 149 11 a a DET alkej-882 149 12 better well ADJ alkej-882 149 13 classification classification NOUN alkej-882 149 14 of of ADP alkej-882 149 15 ann ann PROPN alkej-882 149 16 settings setting NOUN alkej-882 149 17 . . PUNCT alkej-882 150 1 the the DET alkej-882 150 2 whole whole ADJ alkej-882 150 3 amount amount NOUN alkej-882 150 4 of of ADP alkej-882 150 5 data datum NOUN alkej-882 150 6 was be AUX alkej-882 150 7 split split VERB alkej-882 150 8 into into ADP alkej-882 150 9 80 80 NUM alkej-882 150 10 % % NOUN alkej-882 150 11 trained train VERB alkej-882 150 12 data datum NOUN alkej-882 150 13 and and CCONJ alkej-882 150 14 20 20 NUM alkej-882 150 15 % % NOUN alkej-882 150 16 tested test VERB alkej-882 150 17 data datum NOUN alkej-882 150 18 . . PUNCT alkej-882 151 1 the the DET alkej-882 151 2 data datum NOUN alkej-882 151 3 has have AUX alkej-882 151 4 been be AUX alkej-882 151 5 trained train VERB alkej-882 151 6 and and CCONJ alkej-882 151 7 validated validate VERB alkej-882 151 8 with with ADP alkej-882 151 9 a a DET alkej-882 151 10 high high ADJ alkej-882 151 11 level level NOUN alkej-882 151 12 of of ADP alkej-882 151 13 accuracy accuracy NOUN alkej-882 151 14 and and CCONJ alkej-882 151 15 performance performance NOUN alkej-882 151 16 . . PUNCT alkej-882 152 1 the the DET alkej-882 152 2 results result NOUN alkej-882 152 3 exhibit exhibit VERB alkej-882 152 4 that that SCONJ alkej-882 152 5 the the DET alkej-882 152 6 classification classification NOUN alkej-882 152 7 of of ADP alkej-882 152 8 unknown unknown ADJ alkej-882 152 9 color color NOUN alkej-882 152 10 grades grade NOUN alkej-882 152 11 can can AUX alkej-882 152 12 be be AUX alkej-882 152 13 applied apply VERB alkej-882 152 14 with with ADP alkej-882 152 15 an an DET alkej-882 152 16 accuracy accuracy NOUN alkej-882 152 17 of of ADP alkej-882 152 18 90 90 NUM alkej-882 152 19 % % NOUN alkej-882 152 20 which which PRON alkej-882 152 21 can can AUX alkej-882 152 22 be be AUX alkej-882 152 23 precision precision NOUN alkej-882 152 24 recall recall NOUN alkej-882 152 25 f1score f1score NOUN alkej-882 152 26 support support NOUN alkej-882 152 27 red red ADJ alkej-882 152 28 0.70 0.70 NUM alkej-882 152 29 0.95 0.95 NUM alkej-882 152 30 0.81 0.81 NUM alkej-882 152 31 22 22 NUM alkej-882 152 32 green green ADJ alkej-882 152 33 0.94 0.94 NUM alkej-882 152 34 0.96 0.96 NUM alkej-882 152 35 0.95 0.95 NUM alkej-882 152 36 150 150 NUM alkej-882 152 37 blue blue NOUN alkej-882 152 38 0.96 0.96 NUM alkej-882 152 39 0.93 0.93 NUM alkej-882 152 40 0.94 0.94 NUM alkej-882 152 41 109 109 NUM alkej-882 152 42 yellow yellow ADJ alkej-882 152 43 0.83 0.83 NUM alkej-882 152 44 0.68 0.68 NUM alkej-882 152 45 0.75 0.75 NUM alkej-882 152 46 28 28 NUM alkej-882 152 47 orange orange NOUN alkej-882 152 48 0.81 0.81 NUM alkej-882 152 49 0.72 0.72 NUM alkej-882 152 50 0.76 0.76 NUM alkej-882 152 51 18 18 NUM alkej-882 152 52 pink pink ADJ alkej-882 152 53 0.85 0.85 NUM alkej-882 152 54 0.87 0.87 NUM alkej-882 152 55 0.86 0.86 NUM alkej-882 152 56 47 47 NUM alkej-882 152 57 purple purple ADJ alkej-882 152 58 0.90 0.90 NUM alkej-882 152 59 0.89 0.89 NUM alkej-882 152 60 0.90 0.90 NUM alkej-882 152 61 64 64 NUM alkej-882 152 62 brown brown ADJ alkej-882 152 63 0.90 0.90 NUM alkej-882 152 64 0.79 0.79 NUM alkej-882 152 65 0.84 0.84 NUM alkej-882 152 66 34 34 NUM alkej-882 152 67 grey grey NOUN alkej-882 152 68 0.80 0.80 NUM alkej-882 152 69 0.91 0.91 NUM alkej-882 152 70 0.85 0.85 NUM alkej-882 152 71 22 22 NUM alkej-882 152 72 black black ADJ alkej-882 152 73 1.00 1.00 NUM alkej-882 152 74 1.00 1.00 NUM alkej-882 152 75 1.00 1.00 NUM alkej-882 152 76 7 7 NUM alkej-882 152 77 white white ADJ alkej-882 152 78 1.00 1.00 NUM alkej-882 152 79 1.00 1.00 NUM alkej-882 152 80 1.00 1.00 NUM alkej-882 152 81 4 4 NUM alkej-882 152 82 accuracy accuracy NOUN alkej-882 152 83 0.90 0.90 NUM alkej-882 152 84 505 505 NUM alkej-882 152 85 macro macro NOUN alkej-882 152 86 avg avg NOUN alkej-882 152 87 0.88 0.88 NUM alkej-882 152 88 0.88 0.88 NUM alkej-882 152 89 0.88 0.88 NUM alkej-882 152 90 505 505 NUM alkej-882 152 91 weighted weight VERB alkej-882 152 92 avg avg NOUN alkej-882 152 93 0.90 0.90 NUM alkej-882 152 94 0.90 0.90 NUM alkej-882 152 95 0.90 0.90 NUM alkej-882 152 96 505 505 NUM alkej-882 152 97 shahad shahad NOUN alkej-882 152 98 a. a. NOUN alkej-882 152 99 mnati mnati PROPN alkej-882 152 100 al al PROPN alkej-882 152 101 - - PUNCT alkej-882 152 102 khwarizmi khwarizmi PROPN alkej-882 152 103 engineering engineering NOUN alkej-882 152 104 journal journal PROPN alkej-882 152 105 , , PUNCT alkej-882 152 106 vol vol NOUN alkej-882 152 107 . . PROPN alkej-882 153 1 19 19 NUM alkej-882 153 2 , , PUNCT alkej-882 153 3 no no INTJ alkej-882 153 4 . . NOUN alkej-882 153 5 4 4 NUM alkej-882 153 6 , , PUNCT alkej-882 153 7 p.p p.p PROPN alkej-882 153 8 . . PROPN alkej-882 153 9 6777 6777 NUM alkej-882 153 10 ( ( PUNCT alkej-882 153 11 2023 2023 NUM alkej-882 153 12 ) ) PUNCT alkej-882 153 13 75 75 NUM alkej-882 153 14 extended extend VERB alkej-882 153 15 to to ADP alkej-882 153 16 more more ADJ alkej-882 153 17 than than ADP alkej-882 153 18 11 11 NUM alkej-882 153 19 classes class NOUN alkej-882 153 20 of of ADP alkej-882 153 21 colors color NOUN alkej-882 153 22 and and CCONJ alkej-882 153 23 different different ADJ alkej-882 153 24 datasets dataset NOUN alkej-882 153 25 . . PUNCT alkej-882 154 1 the the DET alkej-882 154 2 proposed propose VERB alkej-882 154 3 model model NOUN alkej-882 154 4 can can AUX alkej-882 154 5 be be AUX alkej-882 154 6 utilized utilize VERB alkej-882 154 7 as as ADP alkej-882 154 8 a a DET alkej-882 154 9 reference reference NOUN alkej-882 154 10 in in ADP alkej-882 154 11 choosing choose VERB alkej-882 154 12 and and CCONJ alkej-882 154 13 identifying identify VERB alkej-882 154 14 the the DET alkej-882 154 15 proper proper ADJ alkej-882 154 16 color color NOUN alkej-882 154 17 in in ADP alkej-882 154 18 many many ADJ alkej-882 154 19 applications application NOUN alkej-882 154 20 such such ADJ alkej-882 154 21 as as ADP alkej-882 154 22 car car NOUN alkej-882 154 23 painting painting NOUN alkej-882 154 24 , , PUNCT alkej-882 154 25 by by ADP alkej-882 154 26 linking link VERB alkej-882 154 27 the the DET alkej-882 154 28 colorimeter colorimeter NOUN alkej-882 154 29 with with ADP alkej-882 154 30 the the DET alkej-882 154 31 color color NOUN alkej-882 154 32 mixers mixer NOUN alkej-882 154 33 in in ADP alkej-882 154 34 order order NOUN alkej-882 154 35 to to PART alkej-882 154 36 mix mix VERB alkej-882 154 37 the the DET alkej-882 154 38 three three NUM alkej-882 154 39 primary primary ADJ alkej-882 154 40 rgb rgb PROPN alkej-882 154 41 colors color NOUN alkej-882 154 42 into into ADP alkej-882 154 43 any any DET alkej-882 154 44 grade grade NOUN alkej-882 154 45 of of ADP alkej-882 154 46 the the DET alkej-882 154 47 eleven eleven NUM alkej-882 154 48 previously previously ADV alkej-882 154 49 mentioned mention VERB alkej-882 154 50 colors color NOUN alkej-882 154 51 . . PUNCT alkej-882 155 1 references reference NOUN alkej-882 155 2 [ [ X alkej-882 155 3 1 1 X alkej-882 155 4 ] ] PUNCT alkej-882 155 5 j. j. PROPN alkej-882 155 6 sainui sainui PROPN alkej-882 155 7 and and CCONJ alkej-882 155 8 p. p. PROPN alkej-882 155 9 pattanasatean pattanasatean PROPN alkej-882 155 10 , , PUNCT alkej-882 155 11 โ€œ " PUNCT alkej-882 155 12 color color NOUN alkej-882 155 13 classification classification NOUN alkej-882 155 14 based base VERB alkej-882 155 15 on on ADP alkej-882 155 16 pixel pixel PROPN alkej-882 155 17 intensity intensity NOUN alkej-882 155 18 values value NOUN alkej-882 155 19 , , PUNCT alkej-882 155 20 โ€ " PUNCT alkej-882 155 21 2018 2018 NUM alkej-882 155 22 19th 19th ADJ alkej-882 155 23 ieee ieee NOUN alkej-882 155 24 / / SYM alkej-882 155 25 acis acis PROPN alkej-882 155 26 international international PROPN alkej-882 155 27 conference conference PROPN alkej-882 155 28 on on ADP alkej-882 155 29 software software NOUN alkej-882 155 30 engineering engineering NOUN alkej-882 155 31 , , PUNCT alkej-882 155 32 artificial artificial ADJ alkej-882 155 33 intelligence intelligence NOUN alkej-882 155 34 , , PUNCT alkej-882 155 35 networking networking NOUN alkej-882 155 36 and and CCONJ alkej-882 155 37 parallel parallel ADJ alkej-882 155 38 / / SYM alkej-882 155 39 distributed distribute VERB alkej-882 155 40 computing computing NOUN alkej-882 155 41 ( ( PUNCT alkej-882 155 42 snpd snpd PROPN alkej-882 155 43 ) ) PUNCT alkej-882 155 44 , , PUNCT alkej-882 155 45 jun jun PROPN alkej-882 155 46 . . PROPN alkej-882 155 47 2018 2018 NUM alkej-882 155 48 , , PUNCT alkej-882 155 49 doi doi NOUN alkej-882 155 50 : : PUNCT alkej-882 155 51 10.1109 10.1109 NUM alkej-882 155 52 / / SYM alkej-882 155 53 snpd.2018.8441141 snpd.2018.8441141 NOUN alkej-882 155 54 . . PUNCT alkej-882 156 1 [ [ X alkej-882 156 2 2 2 NUM alkej-882 156 3 ] ] PUNCT alkej-882 156 4 a. a. NOUN alkej-882 156 5 a. a. NOUN alkej-882 156 6 soofi soofi PROPN alkej-882 156 7 and and CCONJ alkej-882 156 8 a. a. NOUN alkej-882 156 9 m. m. PROPN alkej-882 156 10 awan awan PROPN alkej-882 156 11 , , PUNCT alkej-882 156 12 โ€œ " PUNCT alkej-882 156 13 classification classification NOUN alkej-882 156 14 techniques technique NOUN alkej-882 156 15 in in ADP alkej-882 156 16 machine machine NOUN alkej-882 156 17 learning learning NOUN alkej-882 156 18 : : PUNCT alkej-882 156 19 applications application NOUN alkej-882 156 20 and and CCONJ alkej-882 156 21 issues issue NOUN alkej-882 156 22 , , PUNCT alkej-882 156 23 โ€ " PUNCT alkej-882 156 24 journal journal NOUN alkej-882 156 25 of of ADP alkej-882 156 26 basic basic ADJ alkej-882 156 27 and and CCONJ alkej-882 156 28 applied applied ADJ alkej-882 156 29 sciences science NOUN alkej-882 156 30 , , PUNCT alkej-882 156 31 vol vol NOUN alkej-882 156 32 . . PROPN alkej-882 156 33 13 13 NUM alkej-882 156 34 , , PUNCT alkej-882 156 35 pp pp ADJ alkej-882 156 36 . . PUNCT alkej-882 157 1 459โ€“465 459โ€“465 NUM alkej-882 157 2 , , PUNCT alkej-882 157 3 jan jan PROPN alkej-882 157 4 . . PROPN alkej-882 157 5 2017 2017 NUM alkej-882 157 6 , , PUNCT alkej-882 157 7 doi doi NOUN alkej-882 157 8 : : PUNCT alkej-882 157 9 10.6000/1927 10.6000/1927 NUM alkej-882 157 10 - - SYM alkej-882 157 11 5129.2017.13.76 5129.2017.13.76 NUM alkej-882 157 12 . . PUNCT alkej-882 158 1 [ [ X alkej-882 158 2 3 3 X alkej-882 158 3 ] ] X alkej-882 158 4 s. s. PROPN alkej-882 158 5 lassri lassri PROPN alkej-882 158 6 , , PUNCT alkej-882 158 7 e. e. PROPN alkej-882 158 8 h. h. PROPN alkej-882 158 9 benlahmar benlahmar PROPN alkej-882 158 10 , , PUNCT alkej-882 158 11 and and CCONJ alkej-882 158 12 a. a. NOUN alkej-882 158 13 tragha tragha PROPN alkej-882 158 14 , , PUNCT alkej-882 158 15 โ€œ " PUNCT alkej-882 158 16 a a DET alkej-882 158 17 review review NOUN alkej-882 158 18 of of ADP alkej-882 158 19 machine machine NOUN alkej-882 158 20 learning learn VERB alkej-882 158 21 algorithms algorithm NOUN alkej-882 158 22 for for ADP alkej-882 158 23 web web NOUN alkej-882 158 24 page page NOUN alkej-882 158 25 classification classification NOUN alkej-882 158 26 , , PUNCT alkej-882 158 27 โ€ " PUNCT alkej-882 158 28 2018 2018 NUM alkej-882 158 29 ieee ieee NOUN alkej-882 158 30 5th 5th ADJ alkej-882 158 31 international international ADJ alkej-882 158 32 congress congress PROPN alkej-882 158 33 on on ADP alkej-882 158 34 information information NOUN alkej-882 158 35 science science NOUN alkej-882 158 36 and and CCONJ alkej-882 158 37 technology technology NOUN alkej-882 158 38 ( ( PUNCT alkej-882 158 39 cist cist NOUN alkej-882 158 40 ) ) PUNCT alkej-882 158 41 , , PUNCT alkej-882 158 42 oct oct PROPN alkej-882 158 43 . . PROPN alkej-882 158 44 2018 2018 NUM alkej-882 158 45 , , PUNCT alkej-882 158 46 doi doi NOUN alkej-882 158 47 : : PUNCT alkej-882 158 48 10.1109 10.1109 NUM alkej-882 158 49 / / SYM alkej-882 158 50 cist.2018.8596420 cist.2018.8596420 NOUN alkej-882 158 51 . . PUNCT alkej-882 159 1 [ [ X alkej-882 159 2 4 4 X alkej-882 159 3 ] ] PUNCT alkej-882 159 4 b. b. PROPN alkej-882 159 5 s. s. PROPN alkej-882 159 6 kusumo kusumo PROPN alkej-882 159 7 , , PUNCT alkej-882 159 8 a. a. NOUN alkej-882 159 9 heryana heryana PROPN alkej-882 159 10 , , PUNCT alkej-882 159 11 o. o. PROPN alkej-882 159 12 mahendra mahendra PROPN alkej-882 159 13 , , PUNCT alkej-882 159 14 and and CCONJ alkej-882 159 15 h. h. PROPN alkej-882 159 16 f. f. PROPN alkej-882 159 17 pardede pardede PROPN alkej-882 159 18 , , PUNCT alkej-882 159 19 โ€œ " PUNCT alkej-882 159 20 machine machine NOUN alkej-882 159 21 learning learning NOUN alkej-882 159 22 - - PUNCT alkej-882 159 23 based base VERB alkej-882 159 24 for for ADP alkej-882 159 25 automatic automatic ADJ alkej-882 159 26 detection detection NOUN alkej-882 159 27 of of ADP alkej-882 159 28 corn corn NOUN alkej-882 159 29 - - PUNCT alkej-882 159 30 plant plant NOUN alkej-882 159 31 diseases disease NOUN alkej-882 159 32 using use VERB alkej-882 159 33 image image NOUN alkej-882 159 34 processing processing NOUN alkej-882 159 35 , , PUNCT alkej-882 159 36 โ€ " PUNCT alkej-882 159 37 2018 2018 NUM alkej-882 159 38 international international ADJ alkej-882 159 39 conference conference NOUN alkej-882 159 40 on on ADP alkej-882 159 41 computer computer NOUN alkej-882 159 42 , , PUNCT alkej-882 159 43 control control NOUN alkej-882 159 44 , , PUNCT alkej-882 159 45 informatics informatic NOUN alkej-882 159 46 and and CCONJ alkej-882 159 47 its its PRON alkej-882 159 48 applications application NOUN alkej-882 159 49 ( ( PUNCT alkej-882 159 50 ic3ina ic3ina PROPN alkej-882 159 51 ) ) PUNCT alkej-882 159 52 , , PUNCT alkej-882 159 53 nov nov PROPN alkej-882 159 54 . . PROPN alkej-882 159 55 2018 2018 NUM alkej-882 159 56 , , PUNCT alkej-882 159 57 doi doi NOUN alkej-882 159 58 : : PUNCT alkej-882 159 59 10.1109 10.1109 NUM alkej-882 159 60 / / SYM alkej-882 159 61 ic3ina.2018.8629507 ic3ina.2018.8629507 NOUN alkej-882 159 62 . . PUNCT alkej-882 160 1 [ [ X alkej-882 160 2 5 5 X alkej-882 160 3 ] ] PUNCT alkej-882 160 4 s. s. PROPN alkej-882 160 5 k. k. PROPN alkej-882 160 6 behera behera PROPN alkej-882 160 7 , , PUNCT alkej-882 160 8 l. l. PROPN alkej-882 160 9 jena jena PROPN alkej-882 160 10 , , PUNCT alkej-882 160 11 a. a. PROPN alkej-882 160 12 k. k. PROPN alkej-882 160 13 rath rath PROPN alkej-882 160 14 , , PUNCT alkej-882 160 15 and and CCONJ alkej-882 160 16 p. p. PROPN alkej-882 160 17 k. k. PROPN alkej-882 161 1 sethy sethy ADJ alkej-882 161 2 , , PUNCT alkej-882 161 3 โ€œ " PUNCT alkej-882 161 4 disease disease NOUN alkej-882 161 5 classification classification NOUN alkej-882 161 6 and and CCONJ alkej-882 161 7 grading grading NOUN alkej-882 161 8 of of ADP alkej-882 161 9 orange orange NOUN alkej-882 161 10 using use VERB alkej-882 161 11 machine machine NOUN alkej-882 161 12 learning learning NOUN alkej-882 161 13 and and CCONJ alkej-882 161 14 fuzzy fuzzy ADJ alkej-882 161 15 logic logic NOUN alkej-882 161 16 , , PUNCT alkej-882 161 17 โ€ " PUNCT alkej-882 161 18 2018 2018 NUM alkej-882 161 19 international international ADJ alkej-882 161 20 conference conference NOUN alkej-882 161 21 on on ADP alkej-882 161 22 communication communication NOUN alkej-882 161 23 and and CCONJ alkej-882 161 24 signal signal NOUN alkej-882 161 25 processing processing NOUN alkej-882 161 26 ( ( PUNCT alkej-882 161 27 iccsp iccsp PROPN alkej-882 161 28 ) ) PUNCT alkej-882 161 29 , , PUNCT alkej-882 161 30 apr apr PROPN alkej-882 161 31 . . PROPN alkej-882 161 32 2018 2018 NUM alkej-882 161 33 , , PUNCT alkej-882 161 34 doi doi NOUN alkej-882 161 35 : : PUNCT alkej-882 161 36 10.1109 10.1109 NUM alkej-882 161 37 / / SYM alkej-882 161 38 iccsp.2018.8524415 iccsp.2018.8524415 NOUN alkej-882 161 39 . . PUNCT alkej-882 162 1 [ [ X alkej-882 162 2 6 6 NUM alkej-882 162 3 ] ] PUNCT alkej-882 162 4 r. r. PROPN alkej-882 162 5 s. s. PROPN alkej-882 162 6 s. s. PROPN alkej-882 162 7 kumari kumari PROPN alkej-882 162 8 and and CCONJ alkej-882 162 9 v. v. ADP alkej-882 162 10 gomathy gomathy NOUN alkej-882 162 11 , , PUNCT alkej-882 162 12 โ€œ " PUNCT alkej-882 162 13 fruit fruit NOUN alkej-882 162 14 classification classification NOUN alkej-882 162 15 using use VERB alkej-882 162 16 statistical statistical ADJ alkej-882 162 17 features feature NOUN alkej-882 162 18 in in ADP alkej-882 162 19 svm svm PROPN alkej-882 162 20 classifier classifier NOUN alkej-882 162 21 , , PUNCT alkej-882 162 22 โ€ " PUNCT alkej-882 162 23 international international ADJ alkej-882 162 24 conference conference NOUN alkej-882 162 25 on on ADP alkej-882 162 26 electrical electrical ADJ alkej-882 162 27 energy energy NOUN alkej-882 162 28 systems system NOUN alkej-882 162 29 ( ( PUNCT alkej-882 162 30 icees icee NOUN alkej-882 162 31 ) ) PUNCT alkej-882 162 32 , , PUNCT alkej-882 162 33 feb feb PROPN alkej-882 162 34 . . PROPN alkej-882 162 35 2018 2018 NUM alkej-882 162 36 , , PUNCT alkej-882 162 37 doi doi NOUN alkej-882 162 38 : : PUNCT alkej-882 162 39 10.1109 10.1109 NUM alkej-882 162 40 / / SYM alkej-882 162 41 icees.2018.8442331 icees.2018.8442331 NOUN alkej-882 162 42 . . PUNCT alkej-882 163 1 [ [ X alkej-882 163 2 7 7 X alkej-882 163 3 ] ] PUNCT alkej-882 163 4 k. k. PROPN alkej-882 164 1 p. p. NOUN alkej-882 164 2 panigrahi panigrahi PROPN alkej-882 164 3 , , PUNCT alkej-882 164 4 h. h. PROPN alkej-882 164 5 das das PROPN alkej-882 164 6 , , PUNCT alkej-882 164 7 a. a. PROPN alkej-882 164 8 k. k. PROPN alkej-882 164 9 sahoo sahoo PROPN alkej-882 164 10 , , PUNCT alkej-882 164 11 and and CCONJ alkej-882 164 12 s. s. PROPN alkej-882 164 13 c. c. PROPN alkej-882 164 14 moharana moharana PROPN alkej-882 164 15 , , PUNCT alkej-882 164 16 โ€œ " PUNCT alkej-882 164 17 maize maize NOUN alkej-882 164 18 leaf leaf NOUN alkej-882 164 19 disease disease NOUN alkej-882 164 20 detection detection NOUN alkej-882 164 21 and and CCONJ alkej-882 164 22 classification classification NOUN alkej-882 164 23 using use VERB alkej-882 164 24 machine machine NOUN alkej-882 164 25 learning learning NOUN alkej-882 164 26 algorithms algorithm NOUN alkej-882 164 27 , , PUNCT alkej-882 164 28 โ€ " PUNCT alkej-882 164 29 in in ADP alkej-882 164 30 advances advance NOUN alkej-882 164 31 in in ADP alkej-882 164 32 intelligent intelligent ADJ alkej-882 164 33 systems system NOUN alkej-882 164 34 and and CCONJ alkej-882 164 35 computing computing NOUN alkej-882 164 36 , , PUNCT alkej-882 164 37 2020 2020 NUM alkej-882 164 38 , , PUNCT alkej-882 164 39 pp pp ADV alkej-882 164 40 . . PUNCT alkej-882 165 1 659โ€“669 659โ€“669 NUM alkej-882 165 2 . . PUNCT alkej-882 166 1 doi doi NOUN alkej-882 166 2 : : PUNCT alkej-882 166 3 10.1007/978 10.1007/978 NUM alkej-882 166 4 - - SYM alkej-882 166 5 981 981 NUM alkej-882 166 6 - - PUNCT alkej-882 166 7 15 15 NUM alkej-882 166 8 - - PUNCT alkej-882 166 9 2414 2414 NUM alkej-882 166 10 - - SYM alkej-882 166 11 1_66 1_66 NUM alkej-882 166 12 . . PUNCT alkej-882 167 1 [ [ X alkej-882 167 2 8 8 NUM alkej-882 167 3 ] ] X alkej-882 167 4 n. n. NOUN alkej-882 167 5 hameed hameed PROPN alkej-882 167 6 , , PUNCT alkej-882 167 7 a. a. PROPN alkej-882 167 8 m. m. PROPN alkej-882 167 9 shabut shabut PROPN alkej-882 167 10 , , PUNCT alkej-882 167 11 m. m. PROPN alkej-882 167 12 ghosh ghosh PROPN alkej-882 167 13 , , PUNCT alkej-882 167 14 and and CCONJ alkej-882 167 15 m. m. PROPN alkej-882 167 16 a. a. PROPN alkej-882 167 17 hossain hossain PROPN alkej-882 167 18 , , PUNCT alkej-882 167 19 โ€œ " PUNCT alkej-882 167 20 multi multi ADJ alkej-882 167 21 - - ADJ alkej-882 167 22 class class ADJ alkej-882 167 23 multi multi ADJ alkej-882 167 24 - - ADJ alkej-882 167 25 level level ADJ alkej-882 167 26 classification classification NOUN alkej-882 167 27 algorithm algorithm NOUN alkej-882 167 28 for for ADP alkej-882 167 29 skin skin NOUN alkej-882 167 30 lesions lesion NOUN alkej-882 167 31 classification classification NOUN alkej-882 167 32 using use VERB alkej-882 167 33 machine machine NOUN alkej-882 167 34 learning learning NOUN alkej-882 167 35 techniques technique NOUN alkej-882 167 36 , , PUNCT alkej-882 167 37 โ€ " PUNCT alkej-882 167 38 expert expert NOUN alkej-882 167 39 systems system NOUN alkej-882 167 40 with with ADP alkej-882 167 41 applications application NOUN alkej-882 167 42 , , PUNCT alkej-882 167 43 vol vol NOUN alkej-882 167 44 . . PROPN alkej-882 167 45 141 141 NUM alkej-882 167 46 , , PUNCT alkej-882 167 47 p. p. NOUN alkej-882 167 48 112961 112961 NUM alkej-882 167 49 , , PUNCT alkej-882 167 50 mar mar PROPN alkej-882 167 51 . . PROPN alkej-882 167 52 2020 2020 NUM alkej-882 167 53 , , PUNCT alkej-882 167 54 doi doi NOUN alkej-882 167 55 : : PUNCT alkej-882 167 56 10.1016 10.1016 NUM alkej-882 167 57 / / SYM alkej-882 167 58 j.eswa.2019.112961 j.eswa.2019.112961 NOUN alkej-882 167 59 . . PUNCT alkej-882 168 1 [ [ X alkej-882 168 2 9 9 NUM alkej-882 168 3 ] ] X alkej-882 168 4 t. t. PROPN alkej-882 168 5 nagata nagata PROPN alkej-882 168 6 , , PUNCT alkej-882 168 7 s. s. PROPN alkej-882 168 8 noyori noyori PROPN alkej-882 168 9 , , PUNCT alkej-882 168 10 h. h. PROPN alkej-882 168 11 noguchi noguchi PROPN alkej-882 168 12 , , PUNCT alkej-882 168 13 g. g. PROPN alkej-882 168 14 nakagami nakagami PROPN alkej-882 168 15 , , PUNCT alkej-882 168 16 a. a. PROPN alkej-882 168 17 kitamura kitamura PROPN alkej-882 168 18 , , PUNCT alkej-882 168 19 and and CCONJ alkej-882 168 20 h. h. PROPN alkej-882 168 21 sanada sanada PROPN alkej-882 168 22 , , PUNCT alkej-882 168 23 โ€œ " PUNCT alkej-882 168 24 skin skin NOUN alkej-882 168 25 tear tear ADJ alkej-882 168 26 classification classification NOUN alkej-882 168 27 using use VERB alkej-882 168 28 machine machine NOUN alkej-882 168 29 learning learning NOUN alkej-882 168 30 from from ADP alkej-882 168 31 digital digital PROPN alkej-882 168 32 rgb rgb PROPN alkej-882 168 33 image image NOUN alkej-882 168 34 , , PUNCT alkej-882 168 35 โ€ " PUNCT alkej-882 168 36 journal journal NOUN alkej-882 168 37 of of ADP alkej-882 168 38 tissue tissue NOUN alkej-882 168 39 viability viability NOUN alkej-882 168 40 , , PUNCT alkej-882 168 41 vol vol NOUN alkej-882 168 42 . . PROPN alkej-882 168 43 30 30 NUM alkej-882 168 44 , , PUNCT alkej-882 168 45 no no INTJ alkej-882 168 46 . . NOUN alkej-882 168 47 4 4 NUM alkej-882 168 48 , , PUNCT alkej-882 168 49 pp pp ADJ alkej-882 168 50 . . PUNCT alkej-882 169 1 588โ€“593 588โ€“593 NUM alkej-882 169 2 , , PUNCT alkej-882 169 3 nov nov PROPN alkej-882 169 4 . . PROPN alkej-882 169 5 2021 2021 NUM alkej-882 169 6 , , PUNCT alkej-882 169 7 doi doi NOUN alkej-882 169 8 : : PUNCT alkej-882 169 9 10.1016 10.1016 NUM alkej-882 169 10 / / SYM alkej-882 169 11 j.jtv.2021.01.004 j.jtv.2021.01.004 NOUN alkej-882 169 12 . . PUNCT alkej-882 170 1 [ [ X alkej-882 170 2 10 10 NUM alkej-882 170 3 ] ] X alkej-882 170 4 a. a. NOUN alkej-882 170 5 mary mary PROPN alkej-882 170 6 , , PUNCT alkej-882 170 7 z. z. PROPN alkej-882 170 8 bilal bilal PROPN alkej-882 170 9 , , PUNCT alkej-882 170 10 and and CCONJ alkej-882 170 11 z. z. PROPN alkej-882 170 12 saad saad PROPN alkej-882 170 13 , , PUNCT alkej-882 170 14 โ€œ " PUNCT alkej-882 170 15 face face NOUN alkej-882 170 16 recognition recognition NOUN alkej-882 170 17 and and CCONJ alkej-882 170 18 emotion emotion NOUN alkej-882 170 19 recognition recognition NOUN alkej-882 170 20 from from ADP alkej-882 170 21 facial facial ADJ alkej-882 170 22 expression expression NOUN alkej-882 170 23 using use VERB alkej-882 170 24 deep deep ADJ alkej-882 170 25 learning learn VERB alkej-882 170 26 neural neural ADJ alkej-882 170 27 network network NOUN alkej-882 170 28 , , PUNCT alkej-882 170 29 โ€ " PUNCT alkej-882 170 30 researchgate researchgate NOUN alkej-882 170 31 , , PUNCT alkej-882 170 32 nov nov PROPN alkej-882 170 33 . . PROPN alkej-882 170 34 2020 2020 NUM alkej-882 170 35 , , PUNCT alkej-882 171 1 [ [ X alkej-882 171 2 online online X alkej-882 171 3 ] ] X alkej-882 171 4 . . PUNCT alkej-882 172 1 available available ADJ alkej-882 172 2 : : PUNCT alkej-882 172 3 https://www.researchgate.net/publication/346 https://www.researchgate.net/publication/346 ADJ alkej-882 172 4 007138_face_recognition_and_emotion_re 007138_face_recognition_and_emotion_re NUM alkej-882 172 5 cognition_from_facial_expression_using_d cognition_from_facial_expression_using_d PROPN alkej-882 172 6 eep_learning_neural_network eep_learning_neural_network PROPN alkej-882 173 1 [ [ X alkej-882 173 2 11 11 NUM alkej-882 173 3 ] ] PUNCT alkej-882 173 4 a. a. PROPN alkej-882 173 5 h. h. PROPN alkej-882 173 6 mary mary PROPN alkej-882 173 7 , , PUNCT alkej-882 173 8 a. a. PROPN alkej-882 173 9 h. h. PROPN alkej-882 173 10 miry miry PROPN alkej-882 173 11 , , PUNCT alkej-882 173 12 t. t. NOUN alkej-882 173 13 kara kara PROPN alkej-882 173 14 , , PUNCT alkej-882 173 15 and and CCONJ alkej-882 173 16 m. m. PROPN alkej-882 173 17 h. h. PROPN alkej-882 173 18 miry miry PROPN alkej-882 173 19 , , PUNCT alkej-882 173 20 โ€œ " PUNCT alkej-882 173 21 nonlinear nonlinear ADJ alkej-882 173 22 state state NOUN alkej-882 173 23 feedback feedback NOUN alkej-882 173 24 controller controller NOUN alkej-882 173 25 combined combine VERB alkej-882 173 26 with with ADP alkej-882 173 27 rbf rbf PROPN alkej-882 173 28 for for ADP alkej-882 173 29 nonlinear nonlinear ADJ alkej-882 173 30 underactuated underactuated ADJ alkej-882 173 31 overhead overhead ADJ alkej-882 173 32 crane crane NOUN alkej-882 173 33 system system NOUN alkej-882 173 34 , , PUNCT alkej-882 173 35 โ€ " PUNCT alkej-882 173 36 journal journal NOUN alkej-882 173 37 of of ADP alkej-882 173 38 engineering engineering NOUN alkej-882 173 39 research research NOUN alkej-882 173 40 9.3a 9.3a PROPN alkej-882 173 41 ( ( PUNCT alkej-882 173 42 2021 2021 NUM alkej-882 173 43 ) ) PUNCT alkej-882 173 44 . . PUNCT alkej-882 174 1 https://doi.org/10.36909/jer.v9i3a.9159 https://doi.org/10.36909/jer.v9i3a.9159 PUNCT alkej-882 175 1 [ [ X alkej-882 175 2 12 12 NUM alkej-882 175 3 ] ] X alkej-882 175 4 e. e. PROPN alkej-882 175 5 arce arce PROPN alkej-882 175 6 - - PUNCT alkej-882 175 7 medina medina PROPN alkej-882 175 8 and and CCONJ alkej-882 175 9 j. j. PROPN alkej-882 175 10 i. i. PROPN alkej-882 175 11 paz paz PROPN alkej-882 175 12 - - PUNCT alkej-882 175 13 paredes paredes PROPN alkej-882 175 14 , , PUNCT alkej-882 175 15 โ€œ " PUNCT alkej-882 175 16 artificial artificial ADJ alkej-882 175 17 neural neural ADJ alkej-882 175 18 network network NOUN alkej-882 175 19 modeling modeling NOUN alkej-882 175 20 techniques technique NOUN alkej-882 175 21 applied apply VERB alkej-882 175 22 to to ADP alkej-882 175 23 the the DET alkej-882 175 24 hydrodesulfurization hydrodesulfurization NOUN alkej-882 175 25 process process NOUN alkej-882 175 26 , , PUNCT alkej-882 175 27 โ€ " PUNCT alkej-882 175 28 mathematical mathematical ADJ alkej-882 175 29 and and CCONJ alkej-882 175 30 computer computer NOUN alkej-882 175 31 modelling modelling NOUN alkej-882 175 32 , , PUNCT alkej-882 175 33 vol vol NOUN alkej-882 175 34 . . PROPN alkej-882 175 35 49 49 NUM alkej-882 175 36 , , PUNCT alkej-882 175 37 no no INTJ alkej-882 175 38 . . PUNCT alkej-882 176 1 1โ€“2 1โ€“2 NUM alkej-882 176 2 , , PUNCT alkej-882 176 3 pp pp ADJ alkej-882 176 4 . . PUNCT alkej-882 177 1 207โ€“214 207โ€“214 NUM alkej-882 177 2 , , PUNCT alkej-882 177 3 jan jan PROPN alkej-882 177 4 . . PROPN alkej-882 177 5 2009 2009 NUM alkej-882 177 6 , , PUNCT alkej-882 177 7 doi doi NOUN alkej-882 177 8 : : PUNCT alkej-882 177 9 10.1016 10.1016 NUM alkej-882 177 10 / / SYM alkej-882 177 11 j.mcm.2008.05.010 j.mcm.2008.05.010 NOUN alkej-882 177 12 . . PUNCT alkej-882 178 1 [ [ X alkej-882 178 2 13 13 NUM alkej-882 178 3 ] ] X alkej-882 178 4 j. j. PROPN alkej-882 178 5 maitre maitre PROPN alkej-882 178 6 , , PUNCT alkej-882 178 7 k. k. PROPN alkej-882 178 8 bouchard bouchard PROPN alkej-882 178 9 , , PUNCT alkej-882 178 10 and and CCONJ alkej-882 178 11 l. l. PROPN alkej-882 178 12 p. p. PROPN alkej-882 178 13 bรฉdard bรฉdard PROPN alkej-882 178 14 , , PUNCT alkej-882 178 15 โ€œ " PUNCT alkej-882 178 16 mineral mineral NOUN alkej-882 178 17 grains grain NOUN alkej-882 178 18 recognition recognition NOUN alkej-882 178 19 using use VERB alkej-882 178 20 computer computer NOUN alkej-882 178 21 vision vision NOUN alkej-882 178 22 and and CCONJ alkej-882 178 23 machine machine NOUN alkej-882 178 24 learning learning NOUN alkej-882 178 25 , , PUNCT alkej-882 178 26 โ€ " PUNCT alkej-882 178 27 computers computer NOUN alkej-882 178 28 & & CCONJ alkej-882 178 29 geosciences geoscience NOUN alkej-882 178 30 , , PUNCT alkej-882 178 31 vol vol NOUN alkej-882 178 32 . . PROPN alkej-882 178 33 130 130 NUM alkej-882 178 34 , , PUNCT alkej-882 178 35 pp pp ADJ alkej-882 178 36 . . PUNCT alkej-882 179 1 84โ€“93 84โ€“93 NUM alkej-882 179 2 , , PUNCT alkej-882 179 3 sep sep PROPN alkej-882 179 4 . . PROPN alkej-882 179 5 2019 2019 NUM alkej-882 179 6 , , PUNCT alkej-882 179 7 doi doi NOUN alkej-882 179 8 : : PUNCT alkej-882 179 9 10.1016 10.1016 NUM alkej-882 179 10 / / SYM alkej-882 179 11 j.cageo.2019.05.009 j.cageo.2019.05.009 NUM alkej-882 179 12 . . PUNCT alkej-882 180 1 [ [ X alkej-882 180 2 14 14 NUM alkej-882 180 3 ] ] X alkej-882 180 4 c. c. PROPN alkej-882 180 5 kirankaya kirankaya PROPN alkej-882 180 6 and and CCONJ alkej-882 180 7 l. l. PROPN alkej-882 180 8 g. g. PROPN alkej-882 180 9 aykut aykut PROPN alkej-882 180 10 , , PUNCT alkej-882 180 11 โ€œ " PUNCT alkej-882 180 12 training training NOUN alkej-882 180 13 of of ADP alkej-882 180 14 artificial artificial ADJ alkej-882 180 15 neural neural ADJ alkej-882 180 16 networks network NOUN alkej-882 180 17 with with ADP alkej-882 180 18 the the DET alkej-882 180 19 multipopulation multipopulation NOUN alkej-882 180 20 based base VERB alkej-882 180 21 artifical artifical ADJ alkej-882 180 22 bee bee PROPN alkej-882 180 23 colony colony NOUN alkej-882 180 24 algorithm algorithm NOUN alkej-882 180 25 , , PUNCT alkej-882 180 26 โ€ " PUNCT alkej-882 180 27 network network NOUN alkej-882 180 28 : : PUNCT alkej-882 180 29 computation computation NOUN alkej-882 180 30 in in ADP alkej-882 180 31 neural neural ADJ alkej-882 180 32 systems system NOUN alkej-882 180 33 , , PUNCT alkej-882 180 34 vol vol NOUN alkej-882 180 35 . . PROPN alkej-882 181 1 33 33 NUM alkej-882 181 2 , , PUNCT alkej-882 181 3 no no INTJ alkej-882 181 4 . . PUNCT alkej-882 182 1 1โ€“2 1โ€“2 NUM alkej-882 182 2 , , PUNCT alkej-882 182 3 pp pp ADJ alkej-882 182 4 . . PUNCT alkej-882 183 1 124โ€“142 124โ€“142 NUM alkej-882 183 2 , , PUNCT alkej-882 183 3 apr apr NOUN alkej-882 183 4 . . PROPN alkej-882 183 5 2022 2022 NUM alkej-882 183 6 , , PUNCT alkej-882 183 7 doi doi NOUN alkej-882 183 8 : : PUNCT alkej-882 183 9 10.1080/0954898x.2022.2062472 10.1080/0954898x.2022.2062472 NUM alkej-882 183 10 . . PUNCT alkej-882 184 1 [ [ X alkej-882 184 2 15 15 NUM alkej-882 184 3 ] ] X alkej-882 184 4 d. d. PROPN alkej-882 184 5 hemavathi hemavathi PROPN alkej-882 184 6 and and CCONJ alkej-882 184 7 h. h. PROPN alkej-882 184 8 srimathi srimathi PROPN alkej-882 184 9 , , PUNCT alkej-882 184 10 โ€œ " PUNCT alkej-882 184 11 retraction retraction NOUN alkej-882 184 12 note note NOUN alkej-882 184 13 to to ADP alkej-882 184 14 : : PUNCT alkej-882 184 15 effective effective ADJ alkej-882 184 16 feature feature NOUN alkej-882 184 17 selection selection NOUN alkej-882 184 18 technique technique NOUN alkej-882 184 19 in in ADP alkej-882 184 20 an an DET alkej-882 184 21 integrated integrated ADJ alkej-882 184 22 environment environment NOUN alkej-882 184 23 using use VERB alkej-882 184 24 enhanced enhance VERB alkej-882 184 25 principal principal ADJ alkej-882 184 26 component component NOUN alkej-882 184 27 analysis analysis NOUN alkej-882 184 28 , , PUNCT alkej-882 184 29 โ€ " PUNCT alkej-882 184 30 journal journal NOUN alkej-882 184 31 of of ADP alkej-882 184 32 https://www.researchgate.net/publication/346007138_face_recognition_and_emotion_recognition_from_facial_expression_using_deep_learning_neural_network https://www.researchgate.net/publication/346007138_face_recognition_and_emotion_recognition_from_facial_expression_using_deep_learning_neural_network NOUN alkej-882 184 33 https://www.researchgate.net/publication/346007138_face_recognition_and_emotion_recognition_from_facial_expression_using_deep_learning_neural_network https://www.researchgate.net/publication/346007138_face_recognition_and_emotion_recognition_from_facial_expression_using_deep_learning_neural_network NOUN alkej-882 184 34 https://www.researchgate.net/publication/346007138_face_recognition_and_emotion_recognition_from_facial_expression_using_deep_learning_neural_network https://www.researchgate.net/publication/346007138_face_recognition_and_emotion_recognition_from_facial_expression_using_deep_learning_neural_network NOUN alkej-882 184 35 https://www.researchgate.net/publication/346007138_face_recognition_and_emotion_recognition_from_facial_expression_using_deep_learning_neural_network https://www.researchgate.net/publication/346007138_face_recognition_and_emotion_recognition_from_facial_expression_using_deep_learning_neural_network NOUN alkej-882 184 36 shahad shahad NOUN alkej-882 184 37 a. a. PROPN alkej-882 184 38 mnati mnati PROPN alkej-882 184 39 al al PROPN alkej-882 184 40 - - PUNCT alkej-882 184 41 khwarizmi khwarizmi PROPN alkej-882 184 42 engineering engineering NOUN alkej-882 184 43 journal journal PROPN alkej-882 184 44 , , PUNCT alkej-882 184 45 vol vol NOUN alkej-882 184 46 . . PROPN alkej-882 184 47 19 19 NUM alkej-882 184 48 , , PUNCT alkej-882 184 49 no no INTJ alkej-882 184 50 . . NOUN alkej-882 184 51 4 4 NUM alkej-882 184 52 , , PUNCT alkej-882 184 53 p.p p.p PROPN alkej-882 184 54 . . PROPN alkej-882 184 55 6777 6777 NUM alkej-882 184 56 ( ( PUNCT alkej-882 184 57 2023 2023 NUM alkej-882 184 58 ) ) PUNCT alkej-882 184 59 76 76 NUM alkej-882 184 60 ambient ambient ADJ alkej-882 184 61 intelligence intelligence NOUN alkej-882 184 62 and and CCONJ alkej-882 184 63 humanized humanize VERB alkej-882 184 64 computing computing NOUN alkej-882 184 65 , , PUNCT alkej-882 184 66 vol vol NOUN alkej-882 184 67 . . PROPN alkej-882 184 68 14 14 NUM alkej-882 184 69 , , PUNCT alkej-882 184 70 no no INTJ alkej-882 184 71 . . PUNCT alkej-882 185 1 s1 s1 NOUN alkej-882 185 2 , , PUNCT alkej-882 185 3 p. p. NOUN alkej-882 185 4 535 535 NUM alkej-882 185 5 , , PUNCT alkej-882 185 6 jun jun PROPN alkej-882 185 7 . . PROPN alkej-882 185 8 2022 2022 NUM alkej-882 185 9 , , PUNCT alkej-882 185 10 doi doi NOUN alkej-882 185 11 : : PUNCT alkej-882 185 12 10.1007 10.1007 NUM alkej-882 185 13 / / SYM alkej-882 185 14 s12652 s12652 NOUN alkej-882 185 15 - - PUNCT alkej-882 185 16 022 022 NUM alkej-882 185 17 - - PUNCT alkej-882 185 18 04239 04239 NUM alkej-882 185 19 - - SYM alkej-882 185 20 4 4 NUM alkej-882 185 21 . . PUNCT alkej-882 186 1 [ [ X alkej-882 186 2 16 16 NUM alkej-882 186 3 ] ] PUNCT alkej-882 186 4 p. p. NOUN alkej-882 186 5 v. v. ADP alkej-882 186 6 chandrika chandrika PROPN alkej-882 186 7 and and CCONJ alkej-882 186 8 k. k. PROPN alkej-882 186 9 srinivasan srinivasan PROPN alkej-882 186 10 , , PUNCT alkej-882 186 11 โ€œ " PUNCT alkej-882 186 12 predicting predict VERB alkej-882 186 13 stock stock NOUN alkej-882 186 14 market market NOUN alkej-882 186 15 movements movement NOUN alkej-882 186 16 using use VERB alkej-882 186 17 artificial artificial ADJ alkej-882 186 18 neural neural ADJ alkej-882 186 19 networks network NOUN alkej-882 186 20 , , PUNCT alkej-882 186 21 โ€ " PUNCT alkej-882 186 22 universal universal ADJ alkej-882 186 23 journal journal NOUN alkej-882 186 24 of of ADP alkej-882 186 25 accounting accounting NOUN alkej-882 186 26 and and CCONJ alkej-882 186 27 finance finance NOUN alkej-882 186 28 , , PUNCT alkej-882 186 29 vol vol NOUN alkej-882 186 30 . . PROPN alkej-882 186 31 9 9 NUM alkej-882 186 32 , , PUNCT alkej-882 186 33 no no INTJ alkej-882 186 34 . . NOUN alkej-882 186 35 3 3 NUM alkej-882 186 36 , , PUNCT alkej-882 186 37 pp pp ADJ alkej-882 186 38 . . PUNCT alkej-882 187 1 405โ€“410 405โ€“410 NUM alkej-882 187 2 , , PUNCT alkej-882 187 3 jun jun PROPN alkej-882 187 4 . . PROPN alkej-882 187 5 2021 2021 NUM alkej-882 187 6 , , PUNCT alkej-882 187 7 doi doi NOUN alkej-882 187 8 : : PUNCT alkej-882 187 9 10.13189 10.13189 NUM alkej-882 187 10 / / SYM alkej-882 187 11 ujaf.2021.090315 ujaf.2021.090315 PROPN alkej-882 187 12 . . PUNCT alkej-882 188 1 [ [ X alkej-882 188 2 17 17 NUM alkej-882 188 3 ] ] PUNCT alkej-882 188 4 j. j. PROPN alkej-882 188 5 meiyazhagan meiyazhagan PROPN alkej-882 188 6 , , PUNCT alkej-882 188 7 s. s. PROPN alkej-882 188 8 sudharsan sudharsan PROPN alkej-882 188 9 , , PUNCT alkej-882 188 10 a. a. NOUN alkej-882 188 11 venkatasen venkatasen PROPN alkej-882 188 12 , , PUNCT alkej-882 188 13 and and CCONJ alkej-882 188 14 m. m. NOUN alkej-882 188 15 senthilvelan senthilvelan PROPN alkej-882 188 16 , , PUNCT alkej-882 188 17 โ€œ " PUNCT alkej-882 188 18 prediction prediction NOUN alkej-882 188 19 of of ADP alkej-882 188 20 occurrence occurrence NOUN alkej-882 188 21 of of ADP alkej-882 188 22 extreme extreme ADJ alkej-882 188 23 events event NOUN alkej-882 188 24 using use VERB alkej-882 188 25 machine machine NOUN alkej-882 188 26 learning learning NOUN alkej-882 188 27 , , PUNCT alkej-882 188 28 โ€ " PUNCT alkej-882 188 29 european european PROPN alkej-882 188 30 physical physical PROPN alkej-882 188 31 journal journal PROPN alkej-882 188 32 plus plus CCONJ alkej-882 188 33 , , PUNCT alkej-882 188 34 vol vol NOUN alkej-882 188 35 . . PROPN alkej-882 188 36 137 137 NUM alkej-882 188 37 , , PUNCT alkej-882 188 38 no no INTJ alkej-882 188 39 . . NOUN alkej-882 188 40 1 1 NUM alkej-882 188 41 , , PUNCT alkej-882 188 42 dec dec PROPN alkej-882 188 43 . . PROPN alkej-882 188 44 2021 2021 NUM alkej-882 188 45 , , PUNCT alkej-882 188 46 doi doi NOUN alkej-882 188 47 : : PUNCT alkej-882 188 48 10.1140 10.1140 NUM alkej-882 188 49 / / SYM alkej-882 188 50 epjp epjp NOUN alkej-882 188 51 / / SYM alkej-882 188 52 s13360 s13360 NOUN alkej-882 188 53 - - PUNCT alkej-882 188 54 021 021 NUM alkej-882 188 55 - - PUNCT alkej-882 188 56 02249 02249 NUM alkej-882 188 57 - - PUNCT alkej-882 188 58 3 3 NUM alkej-882 188 59 . . PUNCT alkej-882 188 60 ( ( PUNCT alkej-882 188 61 2023 2023 NUM alkej-882 188 62 ) ) PUNCT alkej-882 188 63 67 67 NUM alkej-882 188 64 - - SYM alkej-882 188 65 77 77 NUM alkej-882 188 66 ุŒ ุŒ NOUN alkej-882 188 67 ุตูุญุฉ ุตูุญุฉ PROPN alkej-882 188 68 4 4 PROPN alkej-882 188 69 ุŒ ุŒ NOUN alkej-882 188 70 ุงู„ุนุฏุฏ19ุงู„ู…ุฌู„ุฏ ุงู„ุนุฏุฏ19ุงู„ู…ุฌู„ุฏ PROPN alkej-882 188 71 ุงู„ุฎูˆุงุฑุฒู…ูŠ ุงู„ุฎูˆุงุฑุฒู…ูŠ VERB alkej-882 188 72 ุงู„ู‡ู†ุฏุณูŠุฉุฌู„ุฉ ุงู„ู‡ู†ุฏุณูŠุฉุฌู„ุฉ NOUN alkej-882 188 73 ู…ุดู‡ุฏ ู…ุดู‡ุฏ NOUN alkej-882 188 74 ุนู„ูŠ ุนู„ูŠ NOUN alkej-882 188 75 ู…ู†ุงุชูŠ ู…ู†ุงุชูŠ NOUN alkej-882 188 76 77 77 NUM alkej-882 188 77 rgbู„ูˆุงู† rgbู„ูˆุงู† NOUN alkej-882 188 78 ุงู„ู„ุชุตู†ูŠู ุงู„ู„ุชุตู†ูŠู PROPN alkej-882 189 1 ุฃ ุฃ PROPN alkej-882 189 2 ( ( PUNCT alkej-882 189 3 ann)ุงู„ุดุจูƒุฉ ann)ุงู„ุดุจูƒุฉ PROPN alkej-882 189 4 ุงู„ุนุตุจูˆู†ูŠุฉ ุงู„ุนุตุจูˆู†ูŠุฉ PROPN alkej-882 189 5 ุงุงู„ุตุทู†ุงุนูŠุฉ ุงุงู„ุตุทู†ุงุนูŠุฉ PROPN alkej-882 189 6 ุชุทูˆูŠุฑ ุชุทูˆูŠุฑ PROPN alkej-882 189 7 ู†ู…ูˆุฐุฌ ู†ู…ูˆุฐุฌ PROPN alkej-882 189 8 ู…ุตู†ุนู…ุฌู…ูˆุนุฉ ู…ุตู†ุนู…ุฌู…ูˆุนุฉ X alkej-882 189 9 ุงู„ุจูŠุงู†ุงุช ุงู„ุจูŠุงู†ุงุช PROPN alkej-882 189 10 ุงู„ู…ุณุชุฎุฑุฌุฉ ุงู„ู…ุณุชุฎุฑุฌุฉ PROPN alkej-882 190 1 ู…ู† ู…ู† ADP alkej-882 190 2 ู…ู‚ูŠุงุณ ู…ู‚ูŠุงุณ ADJ alkej-882 190 3 ุฃู„ูˆุงู† ุฃู„ูˆุงู† NOUN alkej-882 190 4 ุจุงุณุชุฎุฏุงู… ุจุงุณุชุฎุฏุงู… NOUN alkej-882 190 5 * * PUNCT alkej-882 190 6 * * PUNCT alkej-882 190 7 ูุฑุงุช ูุฑุงุช ADJ alkej-882 190 8 ุงุจุฑุงู‡ูŠู… ุงุจุฑุงู‡ูŠู… NOUN alkej-882 190 9 ุญุณูŠู† ุญุณูŠู† PROPN alkej-882 190 10 * * PUNCT alkej-882 190 11 ุดู‡ุฏ ุดู‡ุฏ PROPN alkej-882 190 12 ุนู„ูŠ ุนู„ูŠ NOUN alkej-882 190 13 ู…ู†ุงุชูŠ ู…ู†ุงุชูŠ ADV alkej-882 190 14 * * PUNCT alkej-882 190 15 * * PUNCT alkej-882 190 16 * * PUNCT alkej-882 190 17 ุญู…ุฏ ุญู…ุฏ PROPN alkej-882 190 18 ุนูŠุณู‰ุฃ ุนูŠุณู‰ุฃ PROPN alkej-882 190 19 ุงู„ู…ูŠูƒุงุชุฑูˆู†ูƒุณ/ ุงู„ู…ูŠูƒุงุชุฑูˆู†ูƒุณ/ NUM alkej-882 190 20 ูƒู„ูŠุฉ ูƒู„ูŠุฉ PROPN alkej-882 190 21 ู‡ู†ุฏุณุฉ ู‡ู†ุฏุณุฉ NOUN alkej-882 190 22 ุงู„ุฎูˆุงุฑุฒู…ูŠ/ ุงู„ุฎูˆุงุฑุฒู…ูŠ/ PROPN alkej-882 190 23 ุฌุงู…ุนุฉ ุฌุงู…ุนุฉ NOUN alkej-882 190 24 ุจุบุฏุงุฏ/ ุจุบุฏุงุฏ/ NUM alkej-882 190 25 ุจุบุฏุงุฏ/ ุจุบุฏุงุฏ/ NUM alkej-882 190 26 ุงู„ุนุฑุงู‚ ุงู„ุนุฑุงู‚ NOUN alkej-882 190 27 * * SYM alkej-882 190 28 , , PUNCT alkej-882 190 29 * * PUNCT alkej-882 190 30 * * PUNCT alkej-882 190 31 ู‚ุณู… ู‚ุณู… INTJ alkej-882 190 32 ู‡ู†ุฏุณุฉ ู‡ู†ุฏุณุฉ NOUN alkej-882 190 33 * * PUNCT alkej-882 191 1 * * PUNCT alkej-882 191 2 * * VERB alkej-882 191 3 ู‚ุณู… ู‚ุณู… PROPN alkej-882 191 4 ู‡ู†ุฏุณุฉ ู‡ู†ุฏุณุฉ PROPN alkej-882 191 5 ุงู„ู…ูŠูƒุงุชุฑูˆู†ูƒุณ ุงู„ู…ูŠูƒุงุชุฑูˆู†ูƒุณ PROPN alkej-882 191 6 ูˆุงุงู„ุฌู‡ุฒุฉ ูˆุงุงู„ุฌู‡ุฒุฉ PROPN alkej-882 191 7 ุงู„ุทุจูŠุฉ/ ุงู„ุทุจูŠุฉ/ NUM alkej-882 191 8 ู…ุคุณุณุฉ ู…ุคุณุณุฉ ADJ alkej-882 191 9 ุงู„ู‡ู†ุฏุณุฉ ุงู„ู‡ู†ุฏุณุฉ NOUN alkej-882 191 10 ูˆุชูƒู†ูˆู„ูˆุฌูŠุง ูˆุชูƒู†ูˆู„ูˆุฌูŠุง NOUN alkej-882 191 11 ุงู„ู…ุนู„ูˆู…ุงุช/ ุงู„ู…ุนู„ูˆู…ุงุช/ PROPN alkej-882 191 12 ุฌุงู…ุนุฉ ุฌุงู…ุนุฉ PROPN alkej-882 191 13 ุงุงู„ุฒู‡ุฑ/ ุงุงู„ุฒู‡ุฑ/ NUM alkej-882 191 14 ุบุฒุฉ/ ุบุฒุฉ/ NUM alkej-882 191 15 ูู„ุณุทูŠู† ูู„ุณุทูŠู† ADJ alkej-882 191 16 shahed.ali1202a@kecbu.uobaghdad.edu.iq shahed.ali1202a@kecbu.uobaghdad.edu.iq PROPN alkej-882 191 17 : : PUNCT alkej-882 191 18 ุงู„ุจุฑูŠุฏ ุงู„ุจุฑูŠุฏ VERB alkej-882 191 19 ุงุงู„ู„ูƒุชุฑูˆู†ูŠ ุงุงู„ู„ูƒุชุฑูˆู†ูŠ NOUN alkej-882 191 20 * * PROPN alkej-882 191 21 furatnejjar@uobaghdad.edu.iq furatnejjar@uobaghdad.edu.iq PROPN alkej-882 191 22 : : PUNCT alkej-882 191 23 ุงู„ุจุฑูŠุฏ ุงู„ุจุฑูŠุฏ VERB alkej-882 191 24 ุงุงู„ู„ูƒุชุฑูˆู†ูŠ ุงุงู„ู„ูƒุชุฑูˆู†ูŠ NOUN alkej-882 191 25 * * PUNCT alkej-882 191 26 * * PUNCT alkej-882 191 27 a.issa@alazhar.edu.ps a.issa@alazhar.edu.ps ADP alkej-882 191 28 : : PUNCT alkej-882 191 29 ุงู„ุจุฑูŠุฏ ุงู„ุจุฑูŠุฏ VERB alkej-882 191 30 ุงุงู„ู„ูƒุชุฑูˆู†ูŠ ุงุงู„ู„ูƒุชุฑูˆู†ูŠ NOUN alkej-882 191 31 * * PUNCT alkej-882 191 32 * * PUNCT alkej-882 191 33 * * PUNCT alkej-882 191 34 ุงู„ุฎุงู„ุตุฉ ุงู„ุฎุงู„ุตุฉ PROPN alkej-882 191 35 ู…ู† ู…ู† ADP alkej-882 191 36 ุฌู‡ุงุฒ ุฌู‡ุงุฒ ADJ alkej-882 191 37 ู‚ูŠุงุณ ู‚ูŠุงุณ NOUN alkej-882 191 38 ุงุฃู„ู„ูˆุงู† ุงุฃู„ู„ูˆุงู† NOUN alkej-882 191 39 ุงู„ูู…ุตู†ุน ุงู„ูู…ุตู†ุน NOUN alkej-882 191 40 ููŠ ููŠ ADP alkej-882 191 41 ุงู„ู…ุฎุชุจุฑ ุงู„ู…ุฎุชุจุฑ PROPN alkej-882 191 42 ู„ุจู†ุงุก ู„ุจู†ุงุก PROPN alkej-882 191 43 ูู…ุตู†ู ูู…ุตู†ู PROPN alkej-882 191 44 ู…ู‚ุชุฑุญ ู…ู‚ุชุฑุญ PROPN alkej-882 191 45 ู„ุชุตู†ูŠู ู„ุชุตู†ูŠู PROPN alkej-882 191 46 ุฃุฎูˆุฐุฉ ุฃุฎูˆุฐุฉ PROPN alkej-882 191 47 ( ( PUNCT alkej-882 191 48 ุงู„ู…rgbุฒุฑู‚ ุงู„ู…rgbุฒุฑู‚ PROPN alkej-882 191 49 ) ) PUNCT alkej-882 191 50 ุฎุถุฑ ุฎุถุฑ NOUN alkej-882 191 51 ูˆุงุงู„ุญู…ุฑ ูˆุงุงู„ุญู…ุฑ NOUN alkej-882 191 52 ูˆุงุงู„ุงุงู„ู„ูˆุงู† ูˆุงุงู„ุงุงู„ู„ูˆุงู† NOUN alkej-882 191 53 ุงุงู„ ุงุงู„ VERB alkej-882 191 54 ุชู… ุชู… NOUN alkej-882 191 55 ุงุณุชุฎุฏุงู… ุงุณุชุฎุฏุงู… PROPN alkej-882 191 56 ู‚ูŠู… ู‚ูŠู… VERB alkej-882 192 1 ุจูŠุงู†ุงุช ุจูŠุงู†ุงุช PROPN alkej-882 192 2 ุงู„ุฏุฑุงุณุฉ ุงู„ุฏุฑุงุณุฉ PROPN alkej-882 193 1 ูˆู‡ูŠ ูˆู‡ูŠ INTJ alkej-882 193 2 ุงุฃู„ุญู…ุฑ ุงุฃู„ุญู…ุฑ PROPN alkej-882 193 3 ูˆุงุฃู„ุฎุถุฑ ูˆุงุฃู„ุฎุถุฑ NOUN alkej-882 193 4 ุฏ ุฏ PRON alkej-882 193 5 ุงุฌุฑุงุกุนู†ุจู†ุงู‹ุก ุงุฌุฑุงุกุนู†ุจู†ุงู‹ุก PROPN alkej-882 193 6 ุนู„ู‰ ุนู„ู‰ NOUN alkej-882 193 7 ูุฆุงุช ูุฆุงุช ADJ alkej-882 193 8 ู…ุญุฏุฏุฉ ู…ุญุฏุฏุฉ NOUN alkej-882 193 9 ู…ู† ู…ู† PRON alkej-882 193 10 ุงุฃู„ู„ูˆุงู† ุงุฃู„ู„ูˆุงู† NOUN alkej-882 193 11 ุงุฃู„ุณุงุณูŠุฉ ุงุฃู„ุณุงุณูŠุฉ NOUN alkej-882 193 12 . . PUNCT alkej-882 194 1 ุชู… ุชู… PROPN alkej-882 194 2 ุฃุฎุฐ ุฃุฎุฐ PROPN alkej-882 194 3 ุงุฃู„ู„ูˆุงู† ุงุฃู„ู„ูˆุงู† PROPN alkej-882 194 4 ุงุฃู„ุณุงุณูŠุฉ ุงุฃู„ุณุงุณูŠุฉ PROPN alkej-882 194 5 ูˆุงู„ุซุงู†ูˆูŠุฉ ูˆุงู„ุซุงู†ูˆูŠุฉ PROPN alkej-882 194 6 ูˆุงู„ุซุงู„ุซูŠุฉ ูˆุงู„ุซุงู„ุซูŠุฉ PROPN alkej-882 194 7 ููŠ ููŠ ADP alkej-882 194 8 ุงุงู„ุนุชุจุงุฑ ุงุงู„ุนุชุจุงุฑ ADJ alkej-882 194 9 ุฌุณุงู…ุฃู„ูˆุงู† ุฌุณุงู…ุฃู„ูˆุงู† NOUN alkej-882 194 10 ุงุงู„ ุงุงู„ NOUN alkej-882 194 11 ( ( PUNCT alkej-882 194 12 ู…ู† ู…ู† DET alkej-882 194 13 ุฎุงู„ู„ ุฎุงู„ู„ PROPN alkej-882 194 14 ุชุทุจูŠู‚ ุชุทุจูŠู‚ PROPN alkej-882 195 1 ุฎูˆุงุฑุฒู…ูŠุฉ ุฎูˆุงุฑุฒู…ูŠุฉ PROPN alkej-882 195 2 ุงู„ุดุจูƒุฉ ุงู„ุดุจูƒุฉ PROPN alkej-882 195 3 ุงู„ุนุตุจูˆู†ูŠุฉ ุงู„ุนุตุจูˆู†ูŠุฉ VERB alkej-882 195 4 mlูˆุงู„ุจุฑุชู‚ุงู„ูŠ mlูˆุงู„ุจุฑุชู‚ุงู„ูŠ PROPN alkej-882 195 5 ูˆุงุฃู„ุตูุฑ ูˆุงุฃู„ุตูุฑ PROPN alkej-882 195 6 ูˆุงู„ูˆุฑุฏูŠ ูˆุงู„ูˆุฑุฏูŠ PROPN alkej-882 195 7 ูˆุงุฃู„ุฑุฌูˆุงู†ูŠ ูˆุงุฃู„ุฑุฌูˆุงู†ูŠ PROPN alkej-882 195 8 ูˆุงุฃู„ุฒุฑู‚ ูˆุงุฃู„ุฒุฑู‚ PROPN alkej-882 195 9 ูˆุงู„ุจู†ูŠ ูˆุงู„ุจู†ูŠ NOUN alkej-882 195 10 ูˆุงู„ุฑู…ุงุฏูŠ ูˆุงู„ุฑู…ุงุฏูŠ NOUN alkej-882 195 11 ูˆุงุฃู„ุจูŠุถ ูˆุงุฃู„ุจูŠุถ NOUN alkej-882 195 12 ูˆุงุฃู„ุณูˆุฏ ูˆุงุฃู„ุณูˆุฏ NOUN alkej-882 195 13 ููŠ ููŠ ADP alkej-882 195 14 ุงู„ุชุนู„ู… ุงู„ุชุนู„ู… NOUN alkej-882 195 15 ุงุขู„ู„ูŠ ุงุขู„ู„ูŠ PROPN alkej-882 195 16 ) ) PUNCT alkej-882 195 17 ูƒุชุณุงุจู…ู† ูƒุชุณุงุจู…ู† PROPN alkej-882 196 1 ุฃุฌู„ ุฃุฌู„ PROPN alkej-882 196 2 ุง ุง PROPN alkej-882 196 3 rgbุดูƒู„ rgbุดูƒู„ PROPN alkej-882 196 4 ุฃูƒูˆุงุฏ ุฃูƒูˆุงุฏ PROPN alkej-882 196 5 ุนู„ู‰ุงู„ู…ุฐูƒูˆุฑุฉ ุนู„ู‰ุงู„ู…ุฐูƒูˆุฑุฉ PROPN alkej-882 196 6 ุชุนุฑูŠู ุชุนุฑูŠู PROPN alkej-882 196 7 ุงุฃู„ู„ูˆุงู† ุงุฃู„ู„ูˆุงู† PROPN alkej-882 196 8 ุงุฃู„ุญุฏ ุงุฃู„ุญุฏ PROPN alkej-882 196 9 ุนุดุฑ ุนุดุฑ PROPN alkej-882 196 10 ann ann PROPN alkej-882 196 11 ( ( PUNCT alkej-882 196 12 . . PUNCT alkej-882 197 1 ุชุทู„ุจ ุชุทู„ุจ PROPN alkej-882 197 2 ุงู„ู…ุตู†ู ุงู„ู…ุตู†ู PROPN alkej-882 197 3 ุงู„ุฐูŠ ุงู„ุฐูŠ PROPN alkej-882 197 4 ุงุนุชู…ุฏ ุงุนุชู…ุฏ VERB alkej-882 197 5 ุนู„ู‰ ุนู„ู‰ PROPN alkej-882 197 6 ุฎูˆุงุฑุฒู…ูŠุฉ ุฎูˆุงุฑุฒู…ูŠุฉ ADJ alkej-882 197 7 annุงุงู„ุตุทู†ุงุนูŠุฉ annุงุงู„ุตุทู†ุงุนูŠุฉ NOUN alkej-882 197 8 ) ) PUNCT alkej-882 197 9 . . PUNCT alkej-882 198 1 ุชุทู„ุจ ุชุทู„ุจ PROPN alkej-882 198 2 ูุญุต ูุญุต PROPN alkej-882 198 3 ูˆุงู„ุชุญู‚ู‚ุงู„ุจุฑู†ุงู…ุฌ ูˆุงู„ุชุญู‚ู‚ุงู„ุจุฑู†ุงู…ุฌ PROPN alkej-882 198 4 ุงู„ุฐูŠ ุงู„ุฐูŠ PROPN alkej-882 198 5 ูŠุนุชู…ุฏ ูŠุนุชู…ุฏ PROPN alkej-882 198 6 ุนู„ู‰ ุนู„ู‰ PROPN alkej-882 198 7 ุงู„ู…ุตู†ู ุงู„ู…ุตู†ู PROPN alkej-882 198 8 ุงู„ู…ู‚ุชุฑุญ ุงู„ู…ู‚ุชุฑุญ PROPN alkej-882 198 9 ุงู„ู‚ุฏุฑุฉ ุงู„ู‚ุฏุฑุฉ NOUN alkej-882 198 10 ุนู„ู‰ ุนู„ู‰ NOUN alkej-882 198 11 ุงู„ุชู†ุจุค ุงู„ุชู†ุจุค NOUN alkej-882 198 12 ุจู„ูˆู† ุจู„ูˆู† VERB alkej-882 198 13 ุงู„ูƒูˆุฏ ุงู„ูƒูˆุฏ NOUN alkej-882 199 1 ุงู„ุฐูŠ ุงู„ุฐูŠ PROPN alkej-882 199 2 ูŠู†ุชู…ูŠ ูŠู†ุชู…ูŠ ADJ alkej-882 199 3 ุฅู„ู‰ ุฅู„ู‰ NOUN alkej-882 199 4 ูƒุงุฆู† ูƒุงุฆู† NOUN alkej-882 199 5 ู‚ูŠุฏ ู‚ูŠุฏ PROPN alkej-882 199 6 ุงู„ ุงู„ PROPN alkej-882 199 7 ู…ุฎุฑุฌุงุชุงู„ู‚ุฏุฑุฉ ู…ุฎุฑุฌุงุชุงู„ู‚ุฏุฑุฉ PROPN alkej-882 199 8 ุนู„ู‰ ุนู„ู‰ PROPN alkej-882 199 9 ุงู„ุชุตู†ูŠู ุงู„ุชุตู†ูŠู PROPN alkej-882 199 10 . . PUNCT alkej-882 200 1 ูˆู…ูƒุชุจุฉ ูˆู…ูƒุชุจุฉ PROPN alkej-882 200 2 mlู„ู€ mlู„ู€ PROPN alkej-882 200 3 tensorflowู‚ูŠู…ุฉ tensorflowู‚ูŠู…ุฉ PROPN alkej-882 200 4 ู„ูˆู†ูŠุฉ ู„ูˆู†ูŠุฉ VERB alkej-882 200 5 ุชู… ุชู… PROPN alkej-882 200 6 ุฅุฎุถุงุนู‡ุง ุฅุฎุถุงุนู‡ุง PROPN alkej-882 200 7 ุจุฏูˆุฑู‡ุง ุจุฏูˆุฑู‡ุง VERB alkej-882 200 8 ู„ุฎูˆุงุฑุฒู…ูŠุงุช ู„ุฎูˆุงุฑุฒู…ูŠุงุช ADJ alkej-882 200 9 ุงู„ุชุฏุฑูŠุจ ุงู„ุชุฏุฑูŠุจ PROPN alkej-882 200 10 ูˆุงุงู„ุฎุชุจุงุฑ ูˆุงุงู„ุฎุชุจุงุฑ NOUN alkej-882 200 11 . . PUNCT alkej-882 201 1 ุชู… ุชู… NOUN alkej-882 201 2 ุงุณุชุฎุฏุงู… ุงุณุชุฎุฏุงู… PROPN alkej-882 201 3 ุงู„ู…ู†ุตุฉ ุงู„ู…ู†ุตุฉ PROPN alkej-882 201 4 ู…ูุชูˆุญุฉ ู…ูุชูˆุญุฉ PROPN alkej-882 201 5 ุงู„ู…ุตุฏุฑ ุงู„ู…ุตุฏุฑ PROPN alkej-882 201 6 5000ุงู„ุนู…ู„ 5000ุงู„ุนู…ู„ NUM alkej-882 201 7 ุฌู…ุน ุฌู…ุน NOUN alkej-882 202 1 ุญูˆุงู„ูŠ ุญูˆุงู„ูŠ PROPN alkej-882 202 2 ูช ูช PROPN alkej-882 202 3 ูˆุงู„ุชูŠ ูˆุงู„ุชูŠ PROPN alkej-882 202 4 ูŠู…ูƒู† ูŠู…ูƒู† PROPN alkej-882 203 1 ุงุนุชุจุงุฑู‡ุง90ู‚ุฏุฑู‡ุง ุงุนุชุจุงุฑู‡ุง90ู‚ุฏุฑู‡ุง PROPN alkej-882 203 2 ุฅู„ู†ุดุงุก ุฅู„ู†ุดุงุก VERB alkej-882 203 3 ุฎูˆุงุฑุฒู…ูŠุฉ ุฎูˆุงุฑุฒู…ูŠุฉ PROPN alkej-882 203 4 ุงู„ุฏุฑุงุณุฉ ุงู„ุฏุฑุงุณุฉ PROPN alkej-882 203 5 . . PUNCT alkej-882 204 1 ุฃุธู‡ุฑุช ุฃุธู‡ุฑุช PROPN alkej-882 204 2 ุงู„ู†ุชุงุฆุฌ ุงู„ู†ุชุงุฆุฌ PROPN alkej-882 204 3 ูƒูุงุกุฉ ูƒูุงุกุฉ PROPN alkej-882 204 4 ู…ู‚ุจูˆู„ุฉ ู…ู‚ุจูˆู„ุฉ VERB alkej-882 204 5 ู„ู„ู…ุตู†ู ู„ู„ู…ุตู†ู ADJ alkej-882 204 6 ุงู„ู…ุจู†ูŠ ุงู„ู…ุจู†ูŠ NOUN alkej-882 204 7 ู…ู…ุซู„ุฉ ู…ู…ุซู„ุฉ NOUN alkej-882 204 8 ุจุฏู‚ุฉ ุจุฏู‚ุฉ ADJ alkej-882 204 9 kerasุงู„ุดุจูƒุฉ kerasุงู„ุดุจูƒุฉ PROPN alkej-882 204 10 ุงู„ุนุตุจูŠุฉ ุงู„ุนุตุจูŠุฉ PROPN alkej-882 204 11 ู…ูุชูˆุญุฉ ู…ูุชูˆุญุฉ PROPN alkej-882 204 12 ุงู„ู…ุตุฏุฑ ุงู„ู…ุตุฏุฑ PROPN alkej-882 204 13 ู‚ุงุจู„ุฉ ู‚ุงุจู„ุฉ ADP alkej-882 204 14 ู„ู„ุชุทุจูŠู‚ ู„ู„ุชุทุจูŠู‚ PROPN alkej-882 204 15 ุฎุงุตุฉ ุฎุงุตุฉ PROPN alkej-882 204 16 ุจุนุฏ ุจุนุฏ PROPN alkej-882 204 17 ุจุนุถ ุจุนุถ NOUN alkej-882 204 18 ุงู„ุชุญุณูŠู†ุงุช ุงู„ุชุญุณูŠู†ุงุช PROPN alkej-882 204 19 ููŠ ููŠ PRON alkej-882 204 20 ุงุฃู„ุนู…ุงู„ ุงุฃู„ุนู…ุงู„ PROPN alkej-882 204 21 ุงู„ู…ุณุชู‚ุจู„ูŠุฉ ุงู„ู…ุณุชู‚ุจู„ูŠุฉ PROPN alkej-882 204 22 ู„ุชูƒูˆู† ู„ุชูƒูˆู† PROPN alkej-882 204 23 ุฃูƒุซุฑ ุฃูƒุซุฑ PROPN alkej-882 204 24 ูุงุนู„ูŠุฉ ูุงุนู„ูŠุฉ PROPN alkej-882 204 25 ูƒู…ู‚ูŠุงุณ ูƒู…ู‚ูŠุงุณ VERB alkej-882 204 26 ุฃู„ูˆุงู† ุฃู„ูˆุงู† PROPN alkej-882 204 27 ู…ูˆุซูˆู‚ ู…ูˆุซูˆู‚ PROPN alkej-882 204 28 ุจู‡ ุจู‡ NOUN alkej-882 204 29 . . PUNCT alkej-882 204 30 mailto mailto PROPN alkej-882 204 31 : : PUNCT alkej-882 204 32 shahed.ali1202a@kecbu.uobaghdad.edu.iq*ุงู„ุจุฑูŠุฏ shahed.ali1202a@kecbu.uobaghdad.edu.iq*ุงู„ุจุฑูŠุฏ PROPN alkej-882 204 33 mailto mailto NOUN alkej-882 204 34 : : PUNCT alkej-882 204 35 shahed.ali1202a@kecbu.uobaghdad.edu.iq*ุงู„ุจุฑูŠุฏ shahed.ali1202a@kecbu.uobaghdad.edu.iq*ุงู„ุจุฑูŠุฏ PROPN alkej-882 204 36 mailto mailto NOUN alkej-882 204 37 : : PUNCT alkej-882 204 38 furatnejjar@uobaghdad.edu.iq**ุงู„ุจุฑูŠุฏ furatnejjar@uobaghdad.edu.iq**ุงู„ุจุฑูŠุฏ NOUN alkej-882 204 39 mailto mailto NOUN alkej-882 204 40 : : PUNCT alkej-882 204 41 furatnejjar@uobaghdad.edu.iq**ุงู„ุจุฑูŠุฏ furatnejjar@uobaghdad.edu.iq**ุงู„ุจุฑูŠุฏ NOUN alkej-882 204 42 mailto mailto NOUN alkej-882 204 43 : : PUNCT alkej-882 204 44 a.issa@alazhar.edu.ps***ุงู„ุจุฑูŠุฏ a.issa@alazhar.edu.ps***ุงู„ุจุฑูŠุฏ X alkej-882 204 45 mailto mailto NOUN alkej-882 204 46 : : PUNCT alkej-882 204 47 a.issa@alazhar.edu.ps***ุงู„ุจุฑูŠุฏ a.issa@alazhar.edu.ps***ุงู„ุจุฑูŠุฏ NOUN alkej-882 204 48 2 2 NUM alkej-882 204 49 . . PUNCT alkej-882 205 1 materials material NOUN alkej-882 205 2 and and CCONJ alkej-882 205 3 methods method NOUN alkej-882 205 4 fig fig NOUN alkej-882 205 5 . . PUNCT alkej-882 206 1 1 1 X alkej-882 206 2 . . X alkej-882 206 3 the the DET alkej-882 206 4 fabricated fabricate VERB alkej-882 206 5 colorimeter colorimeter NOUN alkej-882 206 6 and and CCONJ alkej-882 206 7 standard standard ADJ alkej-882 206 8 colored colored ADJ alkej-882 206 9 cards card NOUN alkej-882 206 10 2.2 2.2 NUM alkej-882 206 11 rgb rgb PROPN alkej-882 206 12 and and CCONJ alkej-882 206 13 color color NOUN alkej-882 206 14 spaces space VERB alkej-882 206 15 2.3 2.3 NUM alkej-882 206 16 ann ann PROPN alkej-882 206 17 technology technology PROPN alkej-882 206 18 ann ann PROPN alkej-882 206 19 is be AUX alkej-882 206 20 essentially essentially ADV alkej-882 206 21 a a DET alkej-882 206 22 mathematical mathematical ADJ alkej-882 206 23 representation representation NOUN alkej-882 206 24 of of ADP alkej-882 206 25 a a DET alkej-882 206 26 process process NOUN alkej-882 206 27 that that PRON alkej-882 206 28 was be AUX alkej-882 206 29 created create VERB alkej-882 206 30 empirically empirically ADV alkej-882 206 31 rather rather ADV alkej-882 206 32 than than ADP alkej-882 206 33 by by ADP alkej-882 206 34 employing employ VERB alkej-882 206 35 mass mass NOUN alkej-882 206 36 and and CCONJ alkej-882 206 37 energy energy NOUN alkej-882 206 38 balances balance NOUN alkej-882 206 39 surrounding surround VERB alkej-882 206 40 the the DET alkej-882 206 41 process process NOUN alkej-882 206 42 . . PUNCT alkej-882 207 1 a a DET alkej-882 207 2 neural neural ADJ alkej-882 207 3 network network NOUN alkej-882 207 4 is be AUX alkej-882 207 5 made make VERB alkej-882 207 6 up up ADP alkej-882 207 7 of of ADP alkej-882 207 8 a a DET alkej-882 207 9 network network NOUN alkej-882 207 10 of of ADP alkej-882 207 11 partially partially ADV alkej-882 207 12 interconnected interconnected ADJ alkej-882 207 13 processing processing NOUN alkej-882 207 14 units unit NOUN alkej-882 207 15 ... ... PUNCT alkej-882 207 16 where where SCONJ alkej-882 207 17 , , PUNCT alkej-882 207 18 ๐‘Š-๐‘˜,๐‘–.is ๐‘Š-๐‘˜,๐‘–.is PROPN alkej-882 207 19 the the DET alkej-882 207 20 weight weight NOUN alkej-882 207 21 of of ADP alkej-882 207 22 the the DET alkej-882 207 23 link link NOUN alkej-882 207 24 between between ADP alkej-882 207 25 ๐‘›๐‘œ๐‘‘๐‘’ ๐‘›๐‘œ๐‘‘๐‘’ NOUN alkej-882 207 26 and and CCONJ alkej-882 207 27 all all DET alkej-882 207 28 the the DET alkej-882 207 29 nodes node NOUN alkej-882 207 30 in in ADP alkej-882 207 31 the the DET alkej-882 207 32 preceding precede VERB alkej-882 207 33 layers layer NOUN alkej-882 207 34 , , PUNCT alkej-882 207 35 , , PUNCT alkej-882 207 36 ๐‘-๐‘˜. ๐‘-๐‘˜. PROPN alkej-882 207 37 is be AUX alkej-882 207 38 the the DET alkej-882 207 39 bias bias NOUN alkej-882 207 40 to to ADP alkej-882 207 41 the the DET alkej-882 207 42 node node NOUN alkej-882 207 43 , , PUNCT alkej-882 207 44 , , PUNCT alkej-882 207 45 ๐‘-๐‘—โˆ’1 ๐‘-๐‘—โˆ’1 PROPN alkej-882 207 46 . . PROPN alkej-882 208 1 is be AUX alkej-882 208 2 the the DET alkej-882 208 3 number number NOUN alkej-882 208 4 of of ADP alkej-882 208 5 nodes node NOUN alkej-882 208 6 in in ADP alkej-882 208 7 layer layer NOUN alkej-882 208 8 ๐‘—โˆ’1 ๐‘—โˆ’1 PROPN alkej-882 208 9 , , PUNCT alkej-882 208 10 and and CCONJ alkej-882 208 11 , , PUNCT alkej-882 208 12 ๐‘‹-๐‘˜-๐‘—โˆ’1 ๐‘‹-๐‘˜-๐‘—โˆ’1 PROPN alkej-882 208 13 . . PROPN alkej-882 208 14 signifies signify VERB alkej-882 208 15 the the DET alkej-882 208 16 input input NOUN alkej-882 208 17 which which PRON alkej-882 208 18 in in ADP alkej-882 208 19 this this DET alkej-882 208 20 case case NOUN alkej-882 208 21 is be AUX alkej-882 208 22 the the DET alkej-882 208 23 ( ( PUNCT alkej-882 208 24 rgb rgb PROPN alkej-882 208 25 ) ) PUNCT alkej-882 208 26 ... ... PUNCT alkej-882 209 1 2.4 2.4 NUM alkej-882 209 2 performance performance NOUN alkej-882 209 3 metrics metric NOUN alkej-882 209 4 various various ADJ alkej-882 209 5 metrics metric NOUN alkej-882 209 6 are be AUX alkej-882 209 7 employed employ VERB alkej-882 209 8 for for ADP alkej-882 209 9 the the DET alkej-882 209 10 estimation estimation NOUN alkej-882 209 11 of of ADP alkej-882 209 12 an an DET alkej-882 209 13 ann ann NOUN alkej-882 209 14 performance performance NOUN alkej-882 209 15 and and CCONJ alkej-882 209 16 quality quality NOUN alkej-882 209 17 . . PUNCT alkej-882 210 1 performance performance NOUN alkej-882 210 2 metrics metric NOUN alkej-882 210 3 were be AUX alkej-882 210 4 considered consider VERB alkej-882 210 5 in in ADP alkej-882 210 6 this this DET alkej-882 210 7 study study NOUN alkej-882 210 8 for for ADP alkej-882 210 9 evaluating evaluate VERB alkej-882 210 10 the the DET alkej-882 210 11 performance performance NOUN alkej-882 210 12 of of ADP alkej-882 210 13 the the DET alkej-882 210 14 ml ml PROPN alkej-882 210 15 model model NOUN alkej-882 210 16 . . PUNCT alkej-882 211 1 different different ADJ alkej-882 211 2 metrics metric NOUN alkej-882 211 3 are be AUX alkej-882 211 4 used use VERB alkej-882 211 5 in in ADP alkej-882 211 6 evaluating evaluate VERB alkej-882 211 7 the the DET alkej-882 211 8 performance performance NOUN alkej-882 211 9 of of ADP alkej-882 211 10 the the DET alkej-882 211 11 model model NOUN alkej-882 211 12 ... ... PUNCT alkej-882 212 1 the the DET alkej-882 212 2 second second ADJ alkej-882 212 3 layer layer NOUN alkej-882 212 4 , , PUNCT alkej-882 212 5 consisting consist VERB alkej-882 212 6 of of ADP alkej-882 212 7 24 24 NUM alkej-882 212 8 neurons neuron NOUN alkej-882 212 9 , , PUNCT alkej-882 212 10 contains contain VERB alkej-882 212 11 a a DET alkej-882 212 12 total total NOUN alkej-882 212 13 of of ADP alkej-882 212 14 96 96 NUM alkej-882 212 15 parameters parameter NOUN alkej-882 212 16 . . PUNCT alkej-882 213 1 these these DET alkej-882 213 2 parameters parameter NOUN alkej-882 213 3 are be AUX alkej-882 213 4 comprised comprise VERB alkej-882 213 5 of of ADP alkej-882 213 6 72 72 NUM alkej-882 213 7 weights weight NOUN alkej-882 213 8 and and CCONJ alkej-882 213 9 24 24 NUM alkej-882 213 10 biases bias NOUN alkej-882 213 11 . . PUNCT alkej-882 214 1 the the DET alkej-882 214 2 experimental experimental ADJ alkej-882 214 3 data datum NOUN alkej-882 214 4 collected collect VERB alkej-882 214 5 from from ADP alkej-882 214 6 the the DET alkej-882 214 7 colorimeter colorimeter NOUN alkej-882 214 8 device device NOUN alkej-882 214 9 is be AUX alkej-882 214 10 employed employ VERB alkej-882 214 11 as as ADP alkej-882 214 12 an an DET alkej-882 214 13 input input NOUN alkej-882 214 14 for for ADP alkej-882 214 15 the the DET alkej-882 214 16 ml ml PROPN alkej-882 214 17 algorithm algorithm NOUN alkej-882 214 18 . . PUNCT alkej-882 215 1 the the DET alkej-882 215 2 ann ann PROPN alkej-882 215 3 model model NOUN alkej-882 215 4 has have VERB alkej-882 215 5 five five NUM alkej-882 215 6 layers layer NOUN alkej-882 215 7 . . PUNCT alkej-882 216 1 it it PRON alkej-882 216 2 is be AUX alkej-882 216 3 a a DET alkej-882 216 4 densely densely ADV alkej-882 216 5 connected connect VERB alkej-882 216 6 neural neural ADJ alkej-882 216 7 network network NOUN alkej-882 216 8 in in ADP alkej-882 216 9 the the DET alkej-882 216 10 dense dense ADJ alkej-882 216 11 layer layer NOUN alkej-882 216 12 , , PUNCT alkej-882 216 13 also also ADV alkej-882 216 14 known know VERB alkej-882 216 15 as as ADP alkej-882 216 16 a a DET alkej-882 216 17 fully fully ADV alkej-882 216 18 connected connect VERB alkej-882 216 19 layer layer NOUN alkej-882 216 20 , , PUNCT alkej-882 216 21 and and CCONJ alkej-882 216 22 is be AUX alkej-882 216 23 a a DET alkej-882 216 24 funda funda PROPN alkej-882 216 25 ... ... PUNCT alkej-882 216 26 fig fig NOUN alkej-882 216 27 . . PUNCT alkej-882 217 1 6 6 NUM alkej-882 217 2 . . X alkej-882 217 3 confusion confusion NOUN alkej-882 217 4 matrix matrix NOUN alkej-882 217 5 correlation correlation NOUN alkej-882 217 6 before before ADP alkej-882 217 7 training training NOUN alkej-882 217 8 . . PUNCT alkej-882 218 1 3 3 X alkej-882 218 2 . . NOUN alkej-882 218 3 results result NOUN alkej-882 218 4 and and CCONJ alkej-882 218 5 discussion discussion NOUN alkej-882 218 6 fig fig NOUN alkej-882 218 7 . . PUNCT alkej-882 219 1 9 9 X alkej-882 219 2 . . X alkej-882 219 3 the the DET alkej-882 219 4 prediction prediction NOUN alkej-882 219 5 of of ADP alkej-882 219 6 the the DET alkej-882 219 7 trained train VERB alkej-882 219 8 model model NOUN alkej-882 219 9 and and CCONJ alkej-882 219 10 b b NOUN alkej-882 219 11 ) ) PUNCT alkej-882 219 12 tested test VERB alkej-882 219 13 model model NOUN alkej-882 219 14 . . PUNCT alkej-882 220 1 fig fig NOUN alkej-882 220 2 . . PUNCT alkej-882 221 1 10 10 NUM alkej-882 221 2 . . PUNCT alkej-882 221 3 confusion confusion NOUN alkej-882 221 4 matrix matrix NOUN alkej-882 221 5 correlation correlation NOUN alkej-882 221 6 after after ADP alkej-882 221 7 training training NOUN alkej-882 221 8 . . PUNCT alkej-882 222 1 4 4 X alkej-882 222 2 . . X alkej-882 222 3 conclusion conclusion NOUN alkej-882 222 4 in in ADP alkej-882 222 5 this this DET alkej-882 222 6 work work NOUN alkej-882 222 7 , , PUNCT alkej-882 222 8 a a DET alkej-882 222 9 proposed propose VERB alkej-882 222 10 ann ann PROPN alkej-882 222 11 model model NOUN alkej-882 222 12 offers offer VERB alkej-882 222 13 a a DET alkej-882 222 14 non non ADJ alkej-882 222 15 - - ADJ alkej-882 222 16 parametric parametric ADJ alkej-882 222 17 , , PUNCT alkej-882 222 18 user user NOUN alkej-882 222 19 - - PUNCT alkej-882 222 20 friendly friendly ADJ alkej-882 222 21 , , PUNCT alkej-882 222 22 comprehensive comprehensive ADJ alkej-882 222 23 alternative alternative NOUN alkej-882 222 24 to to ADP alkej-882 222 25 traditional traditional ADJ alkej-882 222 26 statistical statistical ADJ alkej-882 222 27 methods method NOUN alkej-882 222 28 used use VERB alkej-882 222 29 in in ADP alkej-882 222 30 classifying classify VERB alkej-882 222 31 rgb rgb PROPN alkej-882 222 32 colors color NOUN alkej-882 222 33 . . PUNCT alkej-882 223 1 about about ADV alkej-882 223 2 5000 5000 NUM alkej-882 223 3 samples sample NOUN alkej-882 223 4 of of ADP alkej-882 223 5 rgb rgb PROPN alkej-882 223 6 colors color NOUN alkej-882 223 7 were be AUX alkej-882 223 8 utilized utilize VERB alkej-882 223 9 to to PART alkej-882 223 10 create create VERB alkej-882 223 11 the the DET alkej-882 223 12 dataset dataset NOUN alkej-882 223 13 by by ADP alkej-882 223 14 applying apply VERB alkej-882 223 15 me i PRON alkej-882 223 16 ... ... PUNCT alkej-882 223 17 references reference NOUN alkej-882 223 18 [ [ X alkej-882 223 19 1 1 X alkej-882 223 20 ] ] PUNCT alkej-882 223 21 j. j. PROPN alkej-882 223 22 sainui sainui PROPN alkej-882 223 23 and and CCONJ alkej-882 223 24 p. p. PROPN alkej-882 223 25 pattanasatean pattanasatean PROPN alkej-882 223 26 , , PUNCT alkej-882 223 27 โ€œ " PUNCT alkej-882 223 28 color color NOUN alkej-882 223 29 classification classification NOUN alkej-882 223 30 based base VERB alkej-882 223 31 on on ADP alkej-882 223 32 pixel pixel PROPN alkej-882 223 33 intensity intensity NOUN alkej-882 223 34 values value NOUN alkej-882 223 35 , , PUNCT alkej-882 223 36 โ€ " PUNCT alkej-882 223 37 2018 2018 NUM alkej-882 223 38 19th 19th ADJ alkej-882 223 39 ieee ieee NOUN alkej-882 223 40 / / SYM alkej-882 223 41 acis acis PROPN alkej-882 223 42 international international PROPN alkej-882 223 43 conference conference PROPN alkej-882 223 44 on on ADP alkej-882 223 45 software software NOUN alkej-882 223 46 engineering engineering NOUN alkej-882 223 47 , , PUNCT alkej-882 223 48 artificial artificial ADJ alkej-882 223 49 intelligence intelligence NOUN alkej-882 223 50 , , PUNCT alkej-882 223 51 networking networking NOUN alkej-882 223 52 and and CCONJ alkej-882 223 53 parallel parallel ADJ alkej-882 223 54 / / SYM alkej-882 223 55 distributed distribute VERB alkej-882 223 56 computing computing NOUN alkej-882 223 57 ( ( PUNCT alkej-882 223 58 snpd snpd PROPN alkej-882 223 59 ) ) PUNCT alkej-882 223 60 , , PUNCT alkej-882 223 61 jun jun PROPN alkej-882 223 62 . . PROPN alkej-882 223 63 2018 2018 NUM alkej-882 223 64 , , PUNCT alkej-882 223 65 ... ... PUNCT alkej-882 224 1 [ [ X alkej-882 224 2 2 2 NUM alkej-882 224 3 ] ] PUNCT alkej-882 224 4 a. a. NOUN alkej-882 224 5 a. a. NOUN alkej-882 224 6 soofi soofi PROPN alkej-882 224 7 and and CCONJ alkej-882 224 8 a. a. NOUN alkej-882 224 9 m. m. PROPN alkej-882 224 10 awan awan PROPN alkej-882 224 11 , , PUNCT alkej-882 224 12 โ€œ " PUNCT alkej-882 224 13 classification classification NOUN alkej-882 224 14 techniques technique NOUN alkej-882 224 15 in in ADP alkej-882 224 16 machine machine NOUN alkej-882 224 17 learning learning NOUN alkej-882 224 18 : : PUNCT alkej-882 224 19 applications application NOUN alkej-882 224 20 and and CCONJ alkej-882 224 21 issues issue NOUN alkej-882 224 22 , , PUNCT alkej-882 224 23 โ€ " PUNCT alkej-882 224 24 journal journal NOUN alkej-882 224 25 of of ADP alkej-882 224 26 basic basic ADJ alkej-882 224 27 and and CCONJ alkej-882 224 28 applied applied ADJ alkej-882 224 29 sciences science NOUN alkej-882 224 30 , , PUNCT alkej-882 224 31 vol vol NOUN alkej-882 224 32 . . PROPN alkej-882 224 33 13 13 NUM alkej-882 224 34 , , PUNCT alkej-882 224 35 pp pp ADJ alkej-882 224 36 . . PUNCT alkej-882 225 1 459โ€“465 459โ€“465 NUM alkej-882 225 2 , , PUNCT alkej-882 225 3 jan jan PROPN alkej-882 225 4 . . PROPN alkej-882 225 5 2017 2017 NUM alkej-882 225 6 , , PUNCT alkej-882 225 7 doi doi NOUN alkej-882 225 8 : : PUNCT alkej-882 225 9 10.6000/1927 10.6000/1927 NUM alkej-882 225 10 - - SYM alkej-882 225 11 5129.2017.13.76 5129.2017.13.76 NUM alkej-882 225 12 . . PUNCT