Items where Division is "Computer Science Engineering" and Year is

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Cynthia, Jayapal and Ulagapriya, K and Shree, K.V.M and Poonguzhali, A Edge-to-Cloud Synergy. In: Edge Intelligence for 6G‐Enabled Industrial Internet of Things. Scrivener Publishing LLC. ISBN 9781394305384

Deepa, R and Packialatha A, A GraphNet Framework for Schizophrenia Classification Using Sensor Data. IEEE SCOPUS. (In Press)

Divya Bairavi, S and Nishant Kumar, Kumar and Prabavathi, S and Ponmathi, M ECOHUB-An AI Driven and Machine Learning Based Smart Organic Farmer to Consumer Supply Chain System. In: ECOHUB-An AI Driven and Machine Learning Based Smart Organic Farmer to Consumer Supply Chain System, 17/04/2026, Trichirapalli.

Dr.G., Thailambal REAL-TIME DATA STREAMING WITH ANOMALY DETECTION AND ALTERING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD). ISSN ISSN: 2456-4184

Dr.G.Thailambal, Dr.G.Thailambal Improving Accurate Prediction in Cardiovascular Disease and Optimizing Using Novel Nesterov Accelerated Gradient in Comparison with Gradient Boosting Classification. Artificial Intelligence Based Smart and Secured Applications.

Dr.Poongodi, A A novel technique on Revolutionizing E-Learning with Region-Based Convolutional Neural Networks. IEEE. ISSN 979-8-3315-8172-5

Kadiam Vishnu, Murthy and Dhinesh, S and Sethu, S Emotibert an enhancement of sentimental analysis of user reviews. In: 7 th international conference on computational intelligence and communication networks. (In Press)

Kalpana, Y. and Deepa, G. Leveraging Deep Learning Architecture optimization for enhanced early detection of bone marrow cancer. International Journal of computational biology and drug design. ISSN 1756-0764 (In Press)

Kalpana, Y. and Kasturi, K. CURRENT TRENDS IN INTERNET OF THINGS (IOT) AND SMART TECHNOLOGIES: A COMPREHENSIVE REVIEW. In: Innovations and Research in Science and Technology. Bhumi, pp. 1-8.

Kasturi, K and Kalpana, Y. Spam Email Detection Using TF-IDF Based Support Vector Machine Approach. Spam Email Detection Using TF-IDF Based Support Vector Machine Approach, 6 (20). pp. 718-725. ISSN 2581-9429

Kingshuk, Das Bakshi and Rani, S Identifying Neurological Disorders using Deep Learning with Biomedical Imaging Techniques. SSRN Electronic journal, 10: ssrn.51096. ISSN 1556-5068

SUMANA, M YOLO MEDICAL IMAGE PROCESSING. Notion Press Media Pvt. Limited. ISBN 9798903921225

Thilakavathy, P. Federated learning for brain tumour detection and classification using improved ShuffleNet-PCNN architecture. Biomedical Signal Processing and Control.

Ulagapriya, K. and Cynthia Jayapal, and Shree, KVM and Poonguzhali,, A Intelligent Mobile and IoT Ecosystems. In: UNSPECIFIED1 UNSPECIFIED1. ISBN 978-1-041-00194

VISTAS, Dr.A.Poongodi https://ieeexplore.ieee.org/document/10883130. IEEE.

VISTAS, Dr.R.Mahalakshmi An Advanced Deep Representation and Heuristic based Model for Reliable Epileptic Seizure Detection from Electroencephalogram Signals. Proceedings of the 9th International Conference on Trends in Electronics and Informatics (ICOEI-2026, 12 (4): CFP26 J32. pp. 8-18. ISSN ISBN: 979-8-3315-7587-8

VISTAS, Dr.R.Mahalakshmi PREDICTIVE MODELS FOR STUDENT PERFORMANCE: A MACHINE LEARNING PERSPECTIVE. International Research Journal of Modernization in Engineering Technology and Science, 7 (7): 7070003838. pp. 1002-1007. ISSN e-ISSN: 2582-5208