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

Group by: VELS Creators | Item Type | No Grouping
Number of items: 20.

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

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)

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

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)

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 (Unpublished)

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 (Unpublished)

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).

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

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

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.

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

This list was generated on Sun Jun 14 06:44:24 2026 IST.