Items where Division is "Computer Science Engineering" and Year is 2026

Group by: VELS Creators | Item Type | No Grouping
Number of items: 17.

Anamika, Kumari and Sridevi, S. and Kavitha, S.J and Mohammadul Hassan, A (2026) Automated Identification of Crop Disease Using Deep Neural Network with Proximal Policy Optimization Technique. In: International Conference on Innovations in Engineering and Next-Generation Technologies for Sustainability (ICINVENTS).

Anandan, R (2026) Evolution of Quantum Computing. In: Quantum Computing The Past, the Present, and the Future. Taylors and Francis, USA.

Divya Bairavi, S and Malathi, M (2026) SYMPTOM-DRIVEN EARLY DETECTION OF EMPHYSEMA EMPLOYING DEEP LEARNING TECHNIQUES. In: SYMPTOM-DRIVEN EARLY DETECTION OF EMPHYSEMA EMPLOYING DEEP LEARNING TECHNIQUES.

Hemavathi, P V and Sridevi, S (2026) Microscopic Image-Based TB Detection Using an Enhanced Bi-LSTM Model Optimized by Firefly Algorithm. Microscopic Image-Based TB Detection Using as Enhanced Bi-LSTM Model Optimized by Firefly Algorithm, 16 (688): 87. pp. 688-692. ISSN 5s,2026

K., Rajkumar and Devikanniga, Devarajan and Kavitha, S.J and S., Usharani (2026) Towards Reliable AI-Based Assessment: Modular Scoring and Hallucination Control. In: International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), 20-21 November 2025, Villupuram, India.

Kalpana, R and Sridevi, S (2026) A Post-Quantum Cryptography and Machine Learning-Driven Framework for Securing Blockchain-Based Supply Chain. A Post-Quantum Cryptography and Machine Learning-Driven Framework for Securing Blockchain-Based Supply Chain, 16 (4): 4. pp. 30-43. ISSN 09754415

Kanna, R. Kishore and Singh, Priyanka and Ghosh, Ankush and Shaw, Rabindra Nath and Jegathambal, P. M. G. (2026) A Hybrid-CNN Framework for Accurate Early Detection of Diabetic Retinopathy. In: Advanced Computing and Intelligent Technologies, Lecture Notes in Networks and Systems. Springer, pp. 497-512.

Kavitha, N. and Sridevi, S. (2026) OPU-NET-DADENA: Optimized deep learning ensemble with u-net segmentation for early detection of diabetic retinopathy. Microvascular Research, 165. p. 104923. ISSN 00262862

Kavitha, S.J and Kottaimalai, Ramaraj and Preena Jacinth Shalom, S and Prasath Alias Surendhar, S and Indumathi, R and Sakkaravarthi, S (2026) Transfer Learning with DenseNet for Accurate Breast Histopathology Images Classification. In: International Conference on Electronics, Communication and Aerospace Technology (ICECA), 05-07 November 2025, Coimbatore, India.

Kavitha, S.J and Sridevi, S. and Wilfred Blessing, N R (2026) Medical Image Segmentation Using Triple Cross-Attention Graph Agnostic Multi Scale U-Net. In: International Conference on Innovations in Engineering and Next-Generation Technologies for Sustainability (ICINVENTS), Coimbatore, India.

Kishore Kanna, R. and Singh, Priyanka and Ghosh, Ankush and Shaw, Rabindra Nath and Jegathambal, P. M. G. (2026) Novel Skin Cancer Detection Application Using Deep Learning Application. In: Advanced Computing and Intelligent Technologies, Lecture Notes in Networks and Systems. Springer, pp. 203-217.

P., Mohana Priya and Ulagapriya, K. (2026) High-fidelity video frame interpolation through context-aware temporal aggregation and recurrent propagation. Systems and Soft Computing, 8. p. 200428. ISSN 27729419

Parvathavarthini, K. and Thangamayan, S. (2026) Analyzing Overlapping and Non-overlapping Communities in Complex Networks. In: Graph Mining. Springer, pp. 33-42.

Pritam Ramesh Ahire, . and Ulaga Priya, K. (2026) Predictive Modelling and Healthcare Monitoring System Using Enhanced Variational Auto Encoder Model. KSII Transactions on Internet and Information Systems, 20 (1). ISSN 19767277

Sherine, H. Daphne and Revathy, G (2026) Streamlined Breast Cancer Identification: Self-attention CNN with Momentum Search Optimization. In: Recent Trends in Advanced Computing. Springer, pp. 45-55.

Vanaparthi, Kiranmai and Krishna Reddy, Seelam and Manikandan, A (2026) Comparison of Catastrophic Forgetting Mitigation Strategies in Continual Learning Systems. Global Journal of Engineering Innovations & Interdisciplinary Research, 6 (1). pp. 1-4.

Vanaparthi, Kiranmai and Manikandan, A (2026) Enhancing Continual Learning in Neural Networks with Lightweight Beneficial Perturbation Networks. Journal of Internet Services and Information Security, 16 (1). pp. 253-276. ISSN 2182-2069

This list was generated on Mon Mar 16 13:23:04 2026 IST.