Items where Author is "Ramesh, L."

Ramesh, L. and Seema, S and Jeevitha, R. and Janani, S. (2025) Data Science. 1 ed. SR Research Group of Companies, The International Journal, Conference, Awards and Books -. ISBN 978-93-6492-870-0

Seema, S. and Ramesh, L. (2025) An Explainable AI Framework Combining MultiTask GCN and Reinforcement Learning for Adaptive Feeding and Animal Health Management in Dairy Farming. In: 2025 International Conference on Sustainable Communication Networks and Application (ICSCN).

Jeevitha, R. and Ramesh, L. (2025) Structured Data-Based Query Analysis Processing by Deep Learning Algorithms and Meta Heuristic Optimization. International Academic Journal of Science and Engineering,, 12 (3). pp. 447-457. ISSN 2454-3896

Jeevitha, R. and Ramesh, L. (2025) Members Testing based Data Analysis with Structuring Query Processing using Deep Learning Techniques. In: 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India.

Nithya Priya, S. and Ramesh, L. (2025) Deep Learning with Augmentation for Accurate Coconut Leaf Disease Classification in Scenarios with Limited Data. In: 9 th International Conference on Inventive Communication and Communicational Technologies, Perambalur, India.

Ramesh, L. and Paramaguru, S. and Janani, S. and Arivazhagan, P. (2025) Big Data Analytics: Tools, Techniques and Applications. SKRGC Publication, Madurai. ISBN 978-93-6492-392-7

Ramesh, L. (2025) The Role of Big Data Analytics in Advancing Information Systems Research. International Conference on Cybernetic Nexus (ICCN -2025).

Ramesh, L. and Suresh, R. and Gopinathan, S and Suresh, B. (2025) Data Structure and Algorithms. SKRGC Publication. ISBN 978-93-6492-474-0

Ramesh, L. (2025) An Explainable AI Framework Combining Multi- Task GCN and Reinforcement Learning for Adaptive Feeding and Animal Health Management in Dairy Farming. In: 2025 International Conference on Sustainable Communication Networks and Application (ICSCN).

Ramesh, L. (2025) Mia, N., T. Sarker, M. A. Halim, A. M. M. N. Alam, M. S. Ali, M. M. Rahman, and M. A. Hashem “Machine learning overview and its application in the livestock industry.” Meat Research 5, no. 1 ( 2025 ). CrossRef Google Scholar 2. Thangavel, Senthil Kumar, K. Somasundaram, and M. Ramasamy “Enhancing Milk Yield Forecasting in Dairy Farming Using an Interpretable Machine Learning Framework.” In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL), pp. 1549 - 1557. IEEE, 2025. View Article Google Scholar 3. Shi, Zhonghao, Fangyuan Chang, Yuanzheng Jia, Jun Li, Yawei Qiu, Jinfeng Miao, Wei Jiang, Xiaojun Guo, Xiangan Han, and Wei Tang “Classifying and understanding of dairy cattle health using wearable inertial sensors with random forest and explainable artificial intelligence.” IEEE Sensors Letters 8, no. 3 ( 2024 ): 1 - 4. View Article Google Scholar 4. Aqib, Amjad Islam, Mahreen Fatima, Afshan Muneer, Khazeena Atta, Muhammad Arslan, C-Neen Fatima Zaheer, Sadia Muneer, and Maheen Murtaza “Explainable Artificial Intelligence (XAI) in the Veterinary and Animal Sciences Field.” Explainable Artificial Intelligence for Biomedical Applications ( 2023 ): 33 - 56. CrossRef Google Scholar 5. Thangavel, Senthil Kumar, K. Somasundaram, and M. Ramasamy “Enhancing Milk Yield Forecasting in Dairy Farming Using an Interpretable Machine Learning Framework.” In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL), pp. 1549 - 1557. IEEE, 2025. View Article Google Scholar 6. Dilaver, Hatice, and Kamil Fatih Dilaver “The Transformative Impact of Artificial Intelligence and Sensor Technologies on Dairy Livestock Exports.” Black Sea Journal of Agriculture 8, no. 4 : 33 - 34. CrossRef Google Scholar 7. Mengisti Berihu Girmay, Felix Möhrle “Exploring explainability formats to aid decision-making in dairy farming systems.” In 44. GIL-Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft, pp. 269 - 274. Gesellschaft für Informatik eV, 2024. Google Scholar 8. Ezanno, Pauline, Sébastien Picault, Gaël Beaunée, Xavier Bailly, Facundo Muñoz, Raphaël Duboz, Hervé Monod, and Jean-François Guégan “Research perspectives on animal health in the era of artificial intelligence.” Veterinary research 52, no. 1 ( 2021 ): 40. CrossRef Google Scholar 9. Khan, Malik Jahan, and Mian Muhammad Awais “Livestock Health Management Using Artificial Intelligence Based Approaches in Rural Areas.” In Smart Technologies for Sustainable Livestock Systems, pp. 173 - 192. CRC Press. CrossRef Google Scholar 10. Jin, Youn-Gyu, Guixin Wu, Ju-Won Seo, Seong-Jin Park, Sung-Ho Hur, Dinara Aliyeva, Jun-Hyung Park, and Kang-Min Kim “AI Veterinary Assistance: Enhancing Clinical Decision-making in Animal Healthcare.” IEEE Access ( 2025 ). View Article Google Scholar 11. Cockburn, Marianne “Application and prospective discussion of machine learning for the management of dairy farms.” Animals 10, no. 9 ( 2020 ): 1690. In: 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA).

Seema, S. and Ramesh, L. (2025) Reinforcement Learning-and Proximal Policy Optimization Framework for Adaptive Feeding and Health Management in Dairy Cattle. In: 5th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS-2025).

Ramesh, L. (2024) A Survey of Big Data Analytics in Healthcare Using Machine Learning Techniques. In: International Conference on Cybernetic Nexus. cde. ISBN 978-93-48498-56-4

Ramesh, L. (2024) Web Technology. SK Research Group of Companies, Madurai. ISBN 978-81-19980-91-8

Ramesh, L. (2023) Integrated Easy Mathematics. Leilani Katie Publication & Press, Madurai. ISBN 978-81-968567-3-1