Rajasenathipathi, M.

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1. Patient Specific Feature Attribution in Cardiovascular Disease Prediction using Explainable AI

   Angayarkanni, G.; Rajasenathipathi, M.

   2026Journal ArticleJournal ArticlesOpen access

2. Cardio-AI: A Comprehensive Comparative Study of Machine Learning, Ensemble, and Deep Learning Approaches for Cardiovascular Disease Prediction

   Angayarkanni, G.; Rajasenathipathi, M.

   2026Journal ArticleJournal ArticlesOpen access

3. Comprehensive Comparative Study of Machine Learning and Deep Learning Approaches for Cardiovascular Disease Prediction

   Angayarkanni, G.; Rajasenathipathi, M.

   2026Conference PaperConference PapersOpen access

4. Business Analytics and Decision Intelligence Using AI

   Angayarkanni, G.; Rajasenathipathi, M.

   2026Book ChapterBook ChaptersOpen access

5. Learning Python

   Angayarkanni, G.; Rajasenathipathi, M.

   2026Book ChapterBook ChaptersOpen access

6. A Profound Analysis of IoT Technology in Agriculture Sector

   Leelavathi, K. S.; Rajasenathipathi, M.

   2025Conference PaperConference PapersOpen access

   Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products, reduce labor costs, increase farmer’s income,…

7. Optimal Feature Selection using Integration of Firefly Optimization with Random Forest Method

   Angayarkanni, G.; Rajasenathipathi, M.

   Journal ArticleJournal ArticlesOpen access

8. Improved Deep Belief Network-based Cardiovascular Disease Risk Prediction

   Angayarkanni, G.; Rajasenathipathi, M.

   Conference PaperJournal Articles

9. A Novel Deep Fuzzy Rule Based System for Early Heart Disease Risk Prediction

   Angayarkanni, G.; Rajasenathipathi, M.

   Conference PaperJournal Articles

10. Analysis of Rice and Wheat Production in India Based on Season Using Machine Learning Classification Techniques

    Leelavathi, K. S.; Rajasenathipathi, M.

    Journal ArticleJournal ArticlesOpen access

11. An EWOA-WTDCNN Model: Effective Whale Optimization Algorithm Incorporating with Weight-Tuned Deep Convolutional Neural Network for Forecasting Indian Crop Yielding Process

    Leelavathi, K. S.; Rajasenathipathi, M.

    Journal ArticleJournal ArticlesOpen access

12. A Study and Analysis of Rice and Wheat Production in India Based on Season Using Machine Learning Classification Algorithms

    Leelavathi, K. S.; Rajasenathipathi, M.

    Journal ArticleJournal ArticlesOpen access

13. Development of Crop Yield Prediction Model in Agriculture Using Improved Extreme Learning Machine

    Leelavathi, K. S.; Rajasenathipathi, M.

    Journal ArticleJournal ArticlesOpen access

14. Analysis of South Indian Agriculture Production Data Using Machine Learning Classification Techniques

    Leelavathi, K. S.; Rajasenathipathi, M.

    Journal ArticleJournal ArticlesOpen access

15. Testing the Accuracy and Working Procedure of Braille Hand Glove Using a Statistical Tool

    Shivakumar, B. L.; Rajasenathipathi, M.

    Journal ArticleJournal Articles

16. A New Approach for Hardware Control Procedure Used in Braille Glove Vibration System for Disabled Persons

    Shivakumar, B. L.; Rajasenathipathi, M.

    Journal ArticleJournal Articles

17. Designing and Evaluating Vibration modes in Braille Glove Vibration System for Disabled Persons

    Rajasenathipathi, M.

    Journal ArticleJournal Articles

18. Braille Glove Vibration System for Diabetic Affected Disabled Persons

    Shivakumar, B. L.; Rajasenathipathi, M.

    Journal ArticleJournal Articles

19. Machine Learning Classification Techniques

    Leelavathi, K. S.; Rajasenathipathi, M.

    Journal ArticleJournal Articles

20. Analysis of Rice and Wheat Production in India Based on Season Using Machine Learning Classification Techniques

    Leelavathi, K. S.; Rajasenathipathi, M.

    Journal ArticleJournal ArticlesOpen access

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