Browsing by Subject Machine Learning

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Showing results 1 to 14 of 14
Issue DateTitleAuthor(s)
2018-08ANALYSIS ON ARTIFICIAL NEURAL NETWORK AND ITS APPLICATIONSSelvanayaki M; Mohanapriya S
2018-08ANALYSIS ON ARTIFICIAL NEURAL NETWORK AND ITS APPLICATIONSSelvanayaki M; MohanaPriya S
2010-06CLASSIFICATION OF SEED COTTON YIELD BASED ON THE GROWTH STAGES OF COTTON CROP USING MACHINE LEARNING TECHNIQUESJamuna K S; Karpagavalli S; Vijaya M S; Revathi P; Gokilavani S; Madhiya E
2009-11A COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS APPLIED TO PREDICTIVE DIABETES DATAC, Deepa; K, Sathiyakumari; V, Preamsudha
2009-11-25A COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS APPLIED TO PREDICTIVE DIABETES DATAK, Sathiyakumari; V, Pream Sudha
2019-07A DEEP LEARNING OF AUTISM SPECTRUM DISORDER USING NAÏVE BAYES, IBK AND J48 CLASSIFIERSGomathi, S
2017FEATURE SELECTION TECHNIQUES FOR THE CLASSIFICATION OF LEAF DISEASES IN TURMERICV, Pream Sudha
2016IDENTIFICATION AND CLASSIFICATION OF LEAF DISEASES IN TURMERIC PLANTSNandhini M; Pream Sudha V; Vijaya M S
2009-05MACHINE LEARNING APPROACH FOR PREOPERATIVE ANAESTHETIC RISK PREDICTIONKarpagavalli S; Jamuna K S; Vijaya M S
2009-11A NOVEL APPROACH FOR PASSWORD STRENGTH ANALYSIS THROUGH SUPPORT VECTOR MACHINEKarpagavalli S; Jamuna K S; Vijaya M S
2014-07-03AN OVERVIEW OF PATTERN RECOGNITIONSelvanayaki M; Anushya Devi TS
2009PASSWORD STRENGTH PREDICTION USING SUPERVISED MACHINE LEARNING TECHNIQUESKarpagavalli S; Jamuna K S; Vijaya M S
2020-02PREDICTING ENERGY CONSUMPTION USING LINEAR REGRESSIONSelvanayaki M; Sheeba L
2017-01-06STUDY ON MACHINE LEARNING TECHNIQUES USING SVMSelvanayaki M; Anushya Devi T S