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Danteshwari, D and Vijayalakshmi, A and Packialatha, A and Ebenezer Abishek, B and Kumudham, R (2025) Hybrid Optimization and Machine Learning Approaches for Enhanced 5G Network Slicing with Improved QoS and QoE. In: Integrated Systems Hybrid Optimization and Machine Learning Approaches for Enhanced 5G Network Slicing with Improved QoS and QoE. 1 ed. Wiley, pp. 551-568. ISBN 9781394311736

Vigneshwaran, P and Vasantha Kumar, Sither and Pakcialatha, A and UNSPECIFIED1 (2026) LIVESHIELD: REAL-TIME DEEPFAKE AUDIO AND VIDEO DETECTION FOR LIVE COMMUNICATION PLATFORMS. In: 17th INTERNATIONAL CONFERENCE ON “SCIENCE AND INNOVATIVE ENGINEERING, April 27 2026, Chennai.

Aditya Kumar, A and Prasanth, M and Venkat Ramanan, S and .Packialatha, A (2025) Real-Time Pothole Detector using Smartphone. In: International Conference on Recent Trends in Mechanical Engineering (ICRTME -2025), SEPTEMBER 25 2025, Chennai.

Santhosh, M and Gowtham, Kumaraguru and Packialatha, A (2025) Design and Implementation of a GSM-Based Siren and Light Alert System for Agriculture and Disaster-Prone Regions. In: International Conference on Recent Trends in Mechanical Engineering (ICRTME -2025), September 25 2025, Chennai.

Santhosh, M and Bhavna, M and Packialatha, A (2025) Thulir: AI-Powered Smart Agriculture Platform for Crop Recommendation, Climate Alerts, and Resource Optimization. 2nd International Conference on Global Trends in Engineering and Technological Advancement (2nd ICGTETA’25), 2 . GOJAN School of Business and Technology, CHENNAI. ISBN 978-81-993196-8-4

Vinodh Kumar, S and Vijayalakshmi, A. and Packialatha, A and EBENEZER ABISHEK, B (2025) HYBRID OPTIMIZATION TECHNIQUES FOR MOBILITY-AWARE, ENERGY-EFFICIENT SMALL CELL DEPLOYMENT IN 5G NETWORKS. Journal of Theoretical and Applied Information Technology. ISSN 1992-8645

Danteshwari, D and Vijayalakshmi, A. and Packialatha, A. and Sathish Kumar Selvaperumal, S and Moorthi, M (2025) Enabling quality of service guarantees through an optimal resource allocation model in 5G network slicing. In: Enabling quality of service guarantees through an optimal resource allocation model in 5G network slicing, October 17 2025, Chennai.

Rohini, A. and Packialatha, A (2025) Functional Brain Connectivity Analysis of the Amygdala Using SPM and ICA on VAM fMRI Data. In: 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems, December 31 2025, coimbatore.

Nigila, P R and Ramola, D and Packialatha, A (2025) Campus 361 – AI-Integrated Education Management and Career Recommendation System. 2nd International Conference on Global Trends in Engineering and Technological Advancement (2nd ICGTETA’25), 2 . GOJAN School of Business and Technology, CHENNAI. ISBN 978-81-993196-8-4

Shreya, R and Monika, T and Atchaya, B and Packialatha, A (2025) MedSegNet: Self-Supervised Medical Image Segmentation. 2nd International Conference on Global Trends in Engineering and Technological Advancement (2nd ICGTETA’25), 2 . GOJAN School of Business and Technology, CHENNAI. ISBN 978-81-993196-8-4

Vigneshwaran, P and Vasantha Kumar, Sither and Packialatha, A (2025) AI-Powered Human Digital Twin for Personalized Health Monitoring. 2nd International Conference on Global Trends in Engineering and Technological Advancement (2nd ICGTETA’25), 2 . GOJAN School of Business and Technology, CHENNAI. ISBN 978-81-993196-8-4

Ramola, D and Nigila, P R and Packialatha, A (2026) A Multi-Agent Retrieval-Augmented Framework for Personalized Government Scheme Recommendation. International Conference on Innovations in Artificial Intelligence and Data Science . New Prince Shri Bhavani College of Engineering and Technology, CHENNAI. ISBN 978-93-5592-844-3

Kamal, A and Ahamed Aakif sahib, B and Packialatha, A (2026) AI VIRTUAL PRESENTATION SYSTEM: REAL-TIME TOUCHLESS SLIDE NAVIGATION USING DEEP LEARNING. 6 International Conference on Recent Trends in Engineering Technology and Management 2026, 6 . suguna College of Engineering, Samarkand, Uzbekistan. ISBN 978-81-986418-4-7

Subhameena, M and Rajesh, A and Packialatha, A and Thilakavathy, P and Banushri, A (2025) LSTM-Based Malware Classification using Bytecode and Opcode Features for IoT Security. In: 2025 8th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India.

Vinodh Kumar, S and Vijayalakshmi, A and Packialatha, A and Sathish Kumar Selvaperumal, S and Moorthi, M (2025) Enhancing QoS and energy efficiency through hybrid heuristic and metaheuristic techniques in ultra dense small cell deployment. IEEE Explore. pp. 1-7. ISSN 979-8-3315-3821-7

Vinodh Kumar, S and Vijayalakshmi, A and Packialatha, A and Ebenezer Abishek, B (2025) HYBRID OPTIMIZATION TECHNIQUES FOR MOBILITY AWARE, ENERGY-EFFICIENT SMALL CELL DEPLOYMENT IN 5G NETWORKS. HYBRID OPTIMIZATION TECHNIQUES FOR MOBILITY�AWARE, ENERGY-EFFICIENT SMALL CELL DEPLOYMENT IN 5G NETWORKS, 103 (14). pp. 4921-4934. ISSN 1992-8645

Deepa, R. and Packialatha, A (2025) Hybrid Pothole Detection Using YOLO and Contour Based method. In: International Conference on Recent Trends in Mechanical Engineering, September 25 2025.

Packialatha, A and Santhosh, M and Bhavna, M (2026) RedPulse: A Location-Based Emergency Blood Management System. International Conference on Innovations in Artificial Intelligence and Data Science . New Prince Shri Bhavani College of Engineering and Technology, CHENNAI. ISBN 978-93-5592-844-3

Packialatha, A and Padma, E. and Ramola, D and Nigila, P R (2026) A MULTI-AGENT RETRIEVAL AUGMENTED FRAMEWORK FOR GOVERNMENT SCHEME RECOMMENDATION. In: NATIONAL LEVEL SYMPOSIUM PRAVESHA 2026 Synthesizing Technology, Celebrating Talent. VISTAS.

Packialatha, A and Padma, E. and Santhosh, M and Bhavna, M (2026) REDPULSE: EMERGENCY BLOOD MANAGEMENT SYSTEM. In: NATIONAL LEVEL SYMPOSIUM PRAVESHA 2026 Synthesizing Technology, Celebrating Talent. VISTAS.

Valarmathi, P. and Packialatha, A. (2026) Virtual Reality Based Adaptive Game for Enhancing Joint Attention in Children With Autism. International Journal of Developmental Neuroscience, 86 (2). ISSN 0736-5748

Padma, E. and Packialatha, A and Rishikesh, S and Kabilan, K (2026) A DEEP LEARNING MODEL FOR DETECTING RANSOMWARE THROUGH BEHAVIORAL ANALYSIS. In: Proceedings of the National Level Symposium Pravesha 2026. VISTAS, p. 3. ISBN 978-93-5813-814-6

Deepa, R and Packialatha A, A GraphNet Framework for Schizophrenia Classification Using Sensor Data. IEEE SCOPUS. (In Press)

Deepa, R and Packialatha, A and Gnanajeyaraman, Rajaram (2026) Edge-IoT Facilitated Multimodal Sensor Fusion for Threat Recognition in Women's Safety Wearables. In: 2025 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) November 27-28, 2025, Amity University Dubai, UAE, January 12 2026, Dubai UAE.

Ranjith, P and Tamilanban, T and Adline Kerana, E and Packialatha A, A and Deventhiran, M and Nafeez Ahmed, L (2026) A Cloud-Enabled Deep Learning Framework for AI Driven Plant Disease Detection. IEEE Scopus.

Valarmathi, P. and Packialatha, A (2025) A Multi‐Model Approach for Attention Prediction in Gaming Environments for Autistic Children. Computer Animation and Virtual Worlds, 36 (1): 9878. ISSN 1546-4261

Deepa, R and Packialatha, A (2025) Early prediction of Schizophrenia using FMRI and Deep learning. In: International Conference on Neural Evolution & Adaptive Intelligence (ICNEAI -2025).

Deepa, R. and Packialatha, A (2025) Structural Brain Network Analysis in Schizophrenia Using Fmri With Deep Learning Algorithm. 2nd International Conference on Multidisciplinary Science and Technology towards Sustainability ICMSTS 2025, March 23, 2025, 1: 11288.

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).

Rohini, A. and Packialatha, A (2025) FMRI Analysis of ADHD'S Impact on Social Skill Development in School-Age Children. In: 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES), Coimbatore, Tamilnadu, India.

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

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