W3.CSS
PSGRKCW INSTITUTIONAL REPOSITORY
Browsing by Subject Machine Learning
Showing results 1 to 14 of 14
| Issue Date | Title | Author(s) |
| 2018-08 | ANALYSIS ON ARTIFICIAL NEURAL NETWORK AND ITS APPLICATIONS | M, Selvanayaki; S, Mohanapriya |
| 2018-08 | ANALYSIS ON ARTIFICIAL NEURAL NETWORK AND ITS APPLICATIONS | M, Selvanayaki; S, MohanaPriya |
| 2010-06 | CLASSIFICATION OF SEED COTTON YIELD BASED ON THE GROWTH STAGES OF COTTON CROP USING MACHINE LEARNING TECHNIQUES | Jamuna K S; Karpagavalli S; Vijaya M S; Revathi P; Gokilavani S; Madhiya E |
| 2009-11 | A COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS APPLIED TO PREDICTIVE DIABETES DATA | C, Deepa; K, Sathiyakumari; V, Preamsudha |
| 2009-11-25 | A COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS APPLIED TO PREDICTIVE DIABETES DATA | K, Sathiyakumari; V, Pream Sudha |
| 2019-07 | A DEEP LEARNING OF AUTISM SPECTRUM DISORDER USING NAÏVE BAYES, IBK AND J48 CLASSIFIERS | Gomathi, S |
| 2017 | FEATURE SELECTION TECHNIQUES FOR THE CLASSIFICATION OF LEAF DISEASES IN TURMERIC | V, Pream Sudha |
| 2016 | IDENTIFICATION AND CLASSIFICATION OF LEAF DISEASES IN TURMERIC PLANTS | Nandhini M; Pream Sudha V; Vijaya M S |
| 2009-05 | MACHINE LEARNING APPROACH FOR PREOPERATIVE ANAESTHETIC RISK PREDICTION | Karpagavalli S; Jamuna K S; Vijaya M S |
| 2009-11 | A NOVEL APPROACH FOR PASSWORD STRENGTH ANALYSIS THROUGH SUPPORT VECTOR MACHINE | Karpagavalli S; Jamuna K S; Vijaya M S |
| 2014-07-03 | AN OVERVIEW OF PATTERN RECOGNITION | M, Selvanayaki; T S, Anushya Devi |
| 2009 | PASSWORD STRENGTH PREDICTION USING SUPERVISED MACHINE LEARNING TECHNIQUES | Karpagavalli S; Jamuna K S; Vijaya M S |
| 2020-02 | PREDICTING ENERGY CONSUMPTION USING LINEAR REGRESSION | Selvanayaki M; Sheeba L |
| 2017-01-06 | STUDY ON MACHINE LEARNING TECHNIQUES USING SVM | M, Selvanayaki; T S, Anushya Devi |
