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

Article

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

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

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)

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

Padma, E. An Optimized Deep Learning Based Framework for Cognitive State Classification Using Brain-Computer Interface Technologies. Proceedings of International Conference on Inventive Communication and Computational Technologies Lecture Notes in Networks and Systems, 1. (Unpublished)

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

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

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

Book Section

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.

Padma, E. Optimizing Information Retrieval Efficiency Using Machine Learning and Natural Language Processing. In: Retrieval-Augmented Techniques and Tools for Real-World Generative AI Systems. Wiley Publication, USA. (Unpublished)

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

Conference or Workshop Item

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.

KAMALKANNA and HAREESH SIDHU and REKHADEVI, B REAL TIME MONITORING HELMET FOR MINERS USING IOT. In: UNSPECIFIED1.

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)

Lakshmi, G and Raviya, K and Jayalakshmi, V and Nandhini, K and Priyalakshmi, V and Preetha, G Effective Heart Disease Prediction and Classification using RNN With Genetic Approach. In: ICICT- 2026, 24-27 February 2026, LONDON, UK. (In Press)

Rama Gangi Reddy, K and THIRUNAVUKKARASU, K. S. A Hybrid Edge-Cloud IoT Framework for Real- Time Plant Disease Detection using Multimodal Data Fusion. In: 3rd International Conference on Sustainable Computing and Smart Systems (ICSCSS 2025).

Sakthi vanitha, M and Jayashree, S and Nathiya, R and Balaji, S and Mohammed Sirajudeen, M and Maruthi, R Machine Learning Models for the Analysis of MultiTemporal Satellite Images for Change Identification and Predictions. In: UNSPECIFIED1.

Book

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