Items where Author is "Kalaivaani, P. T."

Satheeshkumar, S. and Kalaivaani, P. T. and Lathika, V. and Hema, S J and Karthick, K. and Rajalakshmi, R. (2025) Real-Time Anomaly Detection of Advanced Persistent Threats Using Generative Adversarial Networks. In: 2025 International Conference on Intelligent Computing, Information and Control Systems (ICOIICS), Lalitpur, Nepal.

Patil, Sangram and Sungheetha, Akey and Bansode, S.G. and Kalaivaani, P. T. and Anand Kandaswamy, Vijay and Jagannathan, Sharath Kumar (2023) Design and Behavioral Analysis of Students during Examinations using Distributed Machine Learning. In: 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India.

Kalaivaani, P. T. and Krishnamoorthy, Raja and Srinivasula Reddy, A. and Anand Deva Durai, Chelladurai (2022) Adaptive Multimode Decision Tree Classification Model Using Effective System Analysis in IDS for 5G and IoT Security Issues. In: EAI/Springer Innovations in Communication and Computing. Springer Nature, pp. 141-158.

Kalaivaani, P. T. and Krishnamoorthy, Raja and Reddy, A. Srinivasula and Velliangiri, S. (2022) Enhanced Role-Based Handover Control Algorithm for Efficient Multimedia Data Communication Performance in Vehicular Network Using IoT Security Issues. In: EAI/Springer Innovations in Communication and Computing. Springer Nature, pp. 159-172.

Kalaivaani, P. T. and Akila, T. and Tahir, M. M. and Ahmed, Munir and Surendar, Aravindhan (2020) A novel intelligent approach to simulate the blast-induced flyrock based on RFNN combined with PSO. Engineering with Computers, 36 (2). pp. 435-442. ISSN 0177-0667

Kalaivaani, P. T. and Rajeswari, A. (2017) Spatial Correlation Based Cross Layer Approach with Routing in Wireless Sensor Networks. Wireless Personal Communications, 94 (4). pp. 2125-2148. ISSN 0929-6212

Murali, Kalipindi and Ranichandra, C and Kalaivaani, P. T. and Senthilkumar, N.C and Veeramalai, Sankaradass and Madiajagan, M CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING. European Chemical Bulletin.