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.202641034656 A (2026) IOT-BASED AUTOMATED SYSTEM FOR REAL-TIME TEACHING PERFORMANCE EVALUATION IN EDUCATIONAL INSTITUTIONS USING ANALYTICS. .

Selin Chandra, C S and Sharmila, K and Janani, S (2026) Deep Learning-Based Coconut Pest Detection and Size Classification System. In: INTERNATIONAL CONFERENCE ON INTEGRATED RESEARCH INTERNATIONAL CONFERENCE ON INTEGRATED RESEARCH IN SCIENCE, ENGINEERING AND MANAGEMENT INTERNATIONAL CONFERENCE ON INTEGRATED RESEARCH IN SCIENCE, ENGINEERING AND MANAGEMENT IN SCIENCE, ENGINEERING AND MA.

Selin Chandra, C S and Sharmila, K (2025) DEEP LEARNING-BASED FRAMEWORK FOR EARLY DIAGNOSIS, SEVERITY ASSESSMENT, AND PEST DETECTION IN COCONUT TREES. In: ICETRA’25 DEPARTMENT OF COMPUTER SCIENCE, 19/09/2025, Tamil Nadu.

Selin Chandra, C S and Sharmila, K (2026) An Intelligent Deep Learning Framework for Automated Pest Detection in Coconut Trees. IEEE. pp. 738-743.

Padmini, A and SHARMILA, K (2026) Exploring Music-Mental Health Dynamics Through Hierarchical Temporal Memory-based VAE-GAN Algorithm. In: 2025 6th International Conference on Smart Electronics and Communication (ICOSEC).

Suganthi, V and Sharmila, K (2025) Deep Hybrid YOLOv5-Capsule Network for Group Facial Expression Recognition. In: 2025 2nd International Conference on Electronic Circuits and Signaling Technologies (ICECST), Petaling Jaya, Malaysia.

Krishna, P and Magesh, G and Balamurugan, P and Sharmila, K (2026) TradeJournal: An Intelligent Web-Based Trading Journal System. International Journal of Creative Research Thoughts (IJCRT), 14. pp. 1987-1992. ISSN 2320-2882

Dixsan, S R and Bhuvaneshwar, V and Eswar, V and Sharmila, K (2026) Smart Skill-Gap Analyzer for Students: An Intelligent Web-Based Platform for Personalized Career Readiness. International Open-Access, Double-Blind, Peer-Reviewed, Refereed, Multidisciplinary Online Journal, 6. pp. 397-401. ISSN 2581-9429

Sharmila, K and Devi, R (2026) Secure and Scalable Smart Cities Integrating Blockchain with IoT for Trust-Driven Urban Infrastructure. In: Quantum Computing and Quantum Computing and Emerging Computational Emerging Computational Paradigms. Stanzaleaf Printers,, NAMAKAL, pp. 44-54.

Mohammed Arshad, F and Sharmila, K (2026) Enhanced Stroke Risk Prediction Through Optuna-Based Hyperparameter Optimization and Ensemble Classification Models. The Scientific Temper, 17 (05). pp. 6266-6275. ISSN 0976-8653

Suganthi, V and Sharmila, K (2025) Advanced Emotion Transformer Networks with Honey Bee Optimization for Identifying Facial Expressions. In: 2025 9th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 08-10 October 2025, Kirtipur, Nepal.

Mohammed Arshad, F and Sharmila, K (2025) Comparative Analysis of Classification Models for Stroke Prediction Using Machine Learning Algorithms. In: 2025 9th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 08-10 October 2025, Kirtipur, Nepal.

Devi, R and Sharmila, K and Subha, V and Shunmuga Kumari, D (2025) Predictive Modeling for Healthcare Applications. SKRGC Publication,, CHENNAI. ISBN 978-93-6492-076-6

Sharmila, K and Devi, R and Subha, V and Shanmuga Kumari, D (2025) Cybersecurity Risk Management in Cloud Environments. In: Cybersecurity Risk Management in Cloud Environments. SKRGC PUBLICATIONS. ISBN 978-93-6492-440-5

Selin Chandra, C S and Sharmila, K (2026) A Comparative Performance Analysis of Deep Learning Model for Pest Identification in Smart Agriculture. In: 2026 International Conference on Electronics and Renewable Systems (ICEARS), 11-13 February 2026, Tuticorin, India.

Sasikala, S. and Sharmila, K. (2024) IoT in the Medical Field. In: Reshaping Intelligent Business and Industry. WILEY AI, pp. 373-389. ISBN 9781119904878

Shyamala Devi, N. and Sharmila, K. (2022) Tapering Malicious Language for Identifying Fake Web Content:. In: Using Computational Intelligence for the Dark Web and Illicit Behavior Detection. IGI, pp. 206-216.

Padmini, A and Sharmila, K (2026) Hybrid TFT–CPC-Based Architecture for Real-Time Emotion Prediction from Music via Physiological Signal Integration. In: ICISS - 2026.

Shyamala Devi, N. and Sharmila, K. (2024) Unsupervised BERT‐Based Granular Sentiment Analysis of Literary Work. In: Conversational Artificial Intelligence. Wiley, pp. 59-69. ISBN 9781394200801

Felix.V, John and K, Sharmila. (2025) An Empirical Review to Identify Huntington's Disease in Human Beings Using Machine Learning Techniques. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

Shanthi*, C. and Sharmila, K. and Jebathangam, J. and Devi, R. (2019) Detecting Features Inconsitency in Cross-Platform Applications. International Journal of Innovative Technology and Exploring Engineering, 8 (11). pp. 109-112. ISSN 22783075

Shyamala Devi, N. and Sharmila, K. and Grace Hannah, J (2024) Unmasking of Heart Disease Symptoms Using the COVID-19 Vaccine Dataset in Twitter: Text Feature Extraction, Sentiment Analysis. In: Futuristic e-Governance Security With Deep Learning Applications. IGI, pp. 191-198. ISBN 9781668495964