id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-2190	Debshree Bhattacharya	Nonlinear Optimization for Optimal Fault Detection and Classification in Power Systems Using Novel Semi-Supervised KNN Approach	2024	8	.pdf	application/pdf	3384	169	39	The proposed method leverages the strengths of semi-supervised learning, effectively utilizing both labelled and unlabelled data to improve classification accuracy of transmission line faults. Hybrid Approach: For the purpose of analysing and predicting transmission line faults, a hybrid of KNN and fuzzy logic can also be employed [8].	cache/cana-2190.pdf	txt/cana-2190.txt