Items where Author is "Kamalakannan, T"

Article

Kamalakannan, T and Parameswari, K. (2025) Optimized bidirectional gated recurrent unit-convolutional neural network for enhanced social network security. Journal of Data, Information and Management, 7 (4). pp. 301-314. ISSN 2524-6356

Parameswari, K. and Kamalakannan, T (2025) A BERT-Driven Optimized Deep Belief Network for Topic Mining and Security Analysis on Social Media. SN Computer Science, 6 (7). ISSN 2661-8907

Jhansi, B and Kamalakannan, T (2025) Optimized bidirectional gated recurrent unit‑convolutional neural network for enhanced social network security. Journal of Data, Information and Management, 7. pp. 301-314. ISSN 2524-6364

Soji, Edwin Shalom and Kamalakannan, T (2024) Efficient Indian sign language recognition and classification using enhanced machine learning approach. International Journal of Critical Infrastructures, 20 (2). pp. 125-138. ISSN 1475-3219

Conference or Workshop Item

Subhalakshmi, B and Kamalakannan, T (2026) Intelligent Cyber Threat Detection using Optimized Deep Neural Network Approach for IoT Social Networks. In: 2026 International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT), 11-13 May 2026, Erode, India.

Jhansi, B and Kamalakannan, T (2026) A Cost-Aware Stacking Ensemble Framework for Early Heart Disease Detection. In: Proceedings of the Second International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI-2026), 02-04 March 2026, Erode, India.

Shobana Pritha, P and Kamalakannan, T (2026) AI-Based Safety Risk Forecasting and Anomaly Detection Model for Intelligent School Transportation Systems. In: 2026 9th International Conference on Intelligent Computing and Control Systems (ICICCS), 16-18 March 2026, Erode, India.

Ramya, M and Kamalakannan, T (2026) DPS-LSTM: A Dual Prediction Strategy Using LSTM For Process And Storage Load Balancing In Containerized Cloud Environments. In: 2026 IEEE International Conference on Emerging Computing and Intelligent Technologies (ICoECIT), 28-29 January 2026, Hyderabad, India.

Shakila, C and Kamalakannan, T (2025) Deep Hybrid Meta-Heuristic Model for Real-Time Facial Emotion Analysis. In: 2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

Ramya, M and Kamalakannan, T (2025) Adaptive Transfer-Based Fog Load Balancing Using Transfer Learning for Fault-Tolerant Cloud Systems. In: 2025 IEEE DELCON - International Conference on Recent Smart Technologies in Engineering for Sustainable Development, New Delhi, India.

Jhansi, B and Kamalakannan, T (2025) Enhancing Early Detection of Heart Disease Using Ensemble, Traditional, and Hybrid Machine Learning Techniques. In: 2025 International Conference on Communication, Computer, and Information Technology (IC3IT), Mandya, India.

Jenifer, V and Kamalakannan, T (2025) Enhanced Hybrid Clustering and BAT-Optimized Deep U-Net for Next-Generation E-Commerce Product Recommendation. In: 2025 International Conference on Sustainable Communication Networks and Application (ICSCN), 15-17 October 2025, Theni, India.

Shakila, C and Kamalakannan, T (2025) An Innovative Approach on Face Emotion Recognition using Ant-Lion Optimization Model. In: 2025 3rd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India.

Arockiya Selvi, S and Kamalakannan, T (2025) Machine Learning based Prediction of Parkinson's Diseases. In: 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL), Bhimdatta, Nepal.

Arockiya Selvi, S and Kamalakannan, T (2025) Emotional Contribution to Parkinson's Disease Diagnosis Using Machine Learning for EEG Dataset Generation. In: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), Goathgaun, Nepal.

Jenifer, V and Kamalakannan, T (2024) Trend Fusion with Hybrid SVM and RNN for Dynamic Trend Forecasting and Sentiment Analysis. In: 2024 IEEE 9th International Conference on Engineering Technologies and Applied Sciences (ICETAS), Bahrain, Bahrain.

Papitha Christobel, T and Kamalakannan, T (2020) Predictive analysis in Gestational Diabetic Mellitus (GDM) using HCNN-LSTM/DPNN (Big Data). In: 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), Thoothukudi, India.

Book

Bharathi, A and Kamalakannan, T and Anciline Jenifer, J and Praveela, K (2026) Natural Language Processing. 1 ed. Clever Fox Publisher. ISBN 978-9367070437

Kannadhasan, S and Nagarajan, R and Kamalakannan, T and Chandrasekaran, M and Shanmugasundaram, N (2025) Sensor Imaging Systems for Real-Time Applications: Intelligent Solutions for Diverse Sectors. Apple Academic Press, New York. ISBN 9781003610373

Sharmila, K. and Kamalakkannan, S and Kamalakannan, T and Shanthi, C (2020) Python Programming for Beginners. Enas Publications. ISBN 9789386891181

Patent

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