Items where Author is "Packialatha, A."

Article

Rohini, A. and Packialatha, A. (2024) Detection of antisocial personality disorder using optimal multi-head attention based auto encoder. Multimedia Tools and Applications. ISSN 1573-7721

Lavanya, K. and Packialatha, A. (2024) IBSHC : Improved BIRCH ‐based segmentation and hybrid classification model for Mango Disease Detection. Journal of Phytopathology, 172 (2). ISSN 0931-1785

D．, Raghunath Kumar Babu and Packialatha, A. (2024) Hybrid classification model with tuned weight for cyber attack detection: Big data perspective. Advances in Engineering Software, 177. p. 103408. ISSN 09659978

Parvathy, Parvathy and Packialatha, A. (2024) An Intelligent IoT Framework for Heart Diseases Prediction Using Harris Hawk Optimized GRNN. Journal of Intelligent Systems and Internet of Things, 13 (1). pp. 259-275.

Raghunath Kumar Babu, D. and Packialatha, A. (2023) Deep Ensemble Technique for Cyber Attack Detection in Big Data Environment. Cybernetics and Systems, 54 (8). pp. 1320-1347. ISSN 0196-9722

Book Section

Packialatha, A. and Vijitha, S. and Sangeetha, A. and Seetha Lakshmi, K. (2024) Blockchain-Based Infrastructure for Precision Agriculture. In: EAI/Springer Innovations in Communication and Computing. Springer, pp. 145-162.

Conference or Workshop Item

Packialatha, A. and Vadlamudi, Bindu and Sai Thrinath, B.V. and Sundar Ganesh, C.S. and Ishrat, Mohammad and Bhaskar, Archana (2023) Electric Vehicle Management and Tracking using AI and IoT. In: 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India.

Rajaram, Gnanajeyaraman and R S, Archana Vishveswari and Deepa, R. and Packialatha, A. (2023) Node Mobility and Encounter Rate Metrics to Enhance Stability in MANET. In: 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India.

Rajaram, Gnanajeyaraman and Thangaraj, T. Stephen and Packialatha, A. and Deepa, R. (2023) Crow Search Optimization to Identify Adversary Nodes in Wireless Networks. In: 2023 2nd International Conference on Edge Computing and Applications (ICECAA), Namakkal, India.