| EARLY DIAGNOSIS OF CARDIOVASCULAR DISEASE USING LOGISTIC REGRESSION |
P. Mangaiyarkkarasi and S.Saraswathi
Page No: 01-10 |
 https://doi.org/10.65725/JCISE/2/4/001
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| ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN EDUCATION: A CONCEPTUAL FRAMEWORK FOR PERSONALIZED AND ADAPTIVE LEARNING |
Karthikeyan.K
Page No: 11-29 |
https://doi.org/10.65725/JCISE/2/4/002 |
| AN ENHANCED HYBRID PCA–IDFOA FEATURE OPTIMIZATION MODEL FOR ACCURATE CARDIOVASCULAR DISEASE PREDICTION USING RANDOM FOREST |
P. Kavitha, Dr. R. Manicka Chezian
Page No: 30-40 |
https://doi.org/10.65725/JCISE/2/4/003 |
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| A SURVEY AND ANALYSIS OF SENTIMENT CLASSIFICATION USING MACHINE LEARNING ALGORITHMS |
P. Manigandan, N. Zachariah
Page No: 41-47 |
https://doi.org/10.65725/JCISE/2/4/004 |
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| CCTV BASED VECHILE CRASH DETECTION A TENSORFLOW FOR IMPROVED ROAD SAFETY |
Dr. A. Jayasudha, Vigneshwar J.K, Sai Priyadharsan S
Page No: 48-57 |
https://doi.org/10.65725/JCISE/2/4/005 |
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| AN EXPLAINABLE MACHINE LEARNING FRAMEWORK FOR EARLY DRUG-ABUSE RISK ASSESSMENT AND STRATIFICATION |
Dr. A. Maria Vinitha., P. M. Jesu Melwin
Page No: 58-74 |
https://doi.org/10.65725/JCISE/2/4/006 |
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| AN AI – DRIVEN FRAMEWORK FOR DETECTING EXPLICIT AND IMPLICIT ABUSIVE COMMENTS IN ONLINE SOCIAL MEDIA |
Dr. M. Regina, Hamroudhavarshiny R
Page No: 75-88 |
| https://doi.org/10.65725/JCISE/2/4/007 |
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