Items where Author is "Packialatha, A."
Article
Valarmathi, P. and Packialatha, A. (2025) Virtual Reality‐Based Attention Prediction Model in Gaming for Autistic Children. International Journal of Developmental Neuroscience, 85 (1): 10199. ISSN 0736-5748
Babu, D. Raghunath Kumar and Packialatha, A. (2024) Cyber-attack Detection and Mitigation Process under Big Data Consideration: Improved Recursive Feature Elimination-based Feature Selection. Journal of Information & Knowledge Management, 23 (06): 10581. ISSN 0219-6492
Rohini, A. and Packialatha, A. (2024) Detection of antisocial personality disorder using optimal multi-head attention based auto encoder. Multimedia Tools and Applications, 84: 9504. pp. 14253-14272. 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
Manjula, G. and Kalyani, N. and Vijitha, S. and Packialatha, A. and Preethi, J. (2022) A Block Chain Based Health Care system for Pneumonia Disease Prediction. JOURNAL OF ALGEBRAIC STATISTICS, 13 (3). ISSN 1309-3452
Manjula, G. and Kalyani, N. and Vijitha, S. and Packialatha, A. and Preethi, J. (2022) Potential Sustainability in Storing Cloud Data with Privacy Preservation Scheme over ERecords in HealthCare Systems. Potential Sustainability in Storing Cloud Data with Privacy Preservation Scheme over ERecords in HealthCare Systems, 14 (5). ISSN 1308-5581
Anitha, S. and Hemavathi, P. V. and Sethu, S. and Subbulakshmi, M. and Packialatha, A. and Vijitha, S. (2022) Pulmonary Nodules Classification In Computed Tomography Images Using Faster R-CNN. Journal of Pharmaceutical Negative Results, 13 (10).
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
P, Preetha and Packialatha, A. (2024) Improved Deepmaxoutmodel for Disease Prediction in Healthcare IoT Cloud System. In: 2024 IEEE International Conference of Electron Devices Society Kolkata Chapter (EDKCON), Kolkata, India.
P, Preetha and Packialatha, A. (2024) Improved Deepmaxoutmodel for Disease Prediction in Healthcare IoT Cloud System. In: 2024 IEEE International Conference of Electron Devices Society Kolkata Chapter (EDKCON), Kolkata, India.
K, Lavanya and Packialatha, A. (2024) A Mango Disease Prediction for Smart Agiculture using Machine Learning Algorithms. In: 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal.
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.


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