Intelligent and Sustainable Systems

The International Conference Proceedings in Pathway of Electrical, Automation, Communication, and Electronics (PEACE-2025) s a premier platform dedicated to addressing the latest advancements, trends, and challenges in these rapidly evolving fields. As industries move towards intelligent automation, sustainable energy solutions, advanced communication networks, and AI-driven electronic systems, this conference aims to bridge the gap between academic research and industrial applications. The scope of this conference extends across diverse areas, including but not limited to: Electronics & Embedded Systems: Next-generation semiconductor technologies, VLSI, embedded AI, and sensor networks. Electrical Engineering & Power Systems: Smart grids, renewable energy integration, power electronics, and energy-efficient systems. Automation & Control Systems: Industrial automation, robotics, IoT in automation, and AI-driven process optimization. PEACE-2025 fosters interdisciplinary research and stands out due to: A Holistic Approach: Encouraging cross-domain discussions that bridge gaps between theory, practical applications, and future technological disruptions. Focus on Emerging Trends: Addressing cutting-edge topics such as AI-driven automation, sustainable power solutions, next-gen wireless communication, and Industry 4.0 transformations.

Dr. A. Punitha, Faculty, Electronics and Communication Engineering, is an erudite academician and a qualified expert in Network Security and Artificial Intelligence with high calibre and extensive experience of over 20 years in College Administration, Research, and delivering enthusiastic instruction for academic excellence. She has sound exposure to Education Planning and Curriculum Development. Dr. A. Punitha is a distinguished scholar, researcher, and educator with vast experience in both industry and academia. She has made significant contributions to the advancement of cybersecurity, secure network protocols, and intelligent systems. She possesses a sound knowledge of the curriculum practiced by educational institutes and is known for her exemplary communication, interpersonal, and situational evaluation skills. Dr. S. Syedakbar has achieved his Ph. D. degree in the field of RF and Microwave Engineering. He has 15 years of teaching experience along with intense research interest. His research interests include Antenna Design, Wave Propagation, RF Systems, and Metamaterials. He has enormous publications in International Journals and National/ International Conferences in the areas of advanced antenna technologies and electromagnetic wave propagation. He has also authored several technical books useful for research in the field of electromagnetics and antenna theory and also has 02 granted patents to help the society. Dr. S. Jeyasudha is a distinguished Professor, 18-year background that uniquely combines 13 years of rigorous academic instruction with 5 years of hands-on industry experience. Her research expertise is both deep and diverse, covering several high-impact areas including VLSI Technology, Power Electronic Converters, Solar PV applications, Modeling and Control strategies, and Embedded System Technologies. As an active researcher and prolific author in these fields, Dr. Jeyasudha has a keen understanding of academic publishing standards and the critical peer-review process. Her extensive experience in academia has further honed her exemplary communication and analytical skills.

1. Empirical Evaluation of Lung, Breast, and Skin Cancer using Image-Based Deep Learning Approaches 2. Crime Awareness Dashboard with Contextual AI Tuning Engine-Protego 3. A Vision-Based Learning Aid: Eye-Tracking Technology for Improving Focus and Handwritten Letter Recognition in Learning Disorders 4. Intelligent Transportation: Automatic Number Plate Detection and Classification Enhance Traffic Management through Real-Time Automatic Number Plate Recognition and Classification 5. Machine Learning Models for Accurate Water Quality Classification 6. Securing Healthcare Data with Homomorphic Encryption 7. Agri Sense Aqua Smart Sprinkler 8. Cine Reserve Portal System 9. Mechanic Navigator: Real-Time Location-Based Service to Connect Users with Nearby Mechanics Using Machine Learning and Geolocation Technology 10. Mango Leaf Disease Detection with AI 11. Machine Learning Algorithm for Early Detection of Deficiency of Vitamin D 12. Smart Matchmaking in the Startup Ecosystem: A Data Driven Strategy for Bringing Founders and Investors Together 13. Enhancing Short-Term Weather Nowcasting with LSTM Networks 14. Crop Yields and Recommending Fertilizers using Random Forest, Naive Bayes, and Voting Classifier Algorithms 15. Crop Pest Classification based on CNN and Transfer Learning 16. Leveraging Deep Learning for the Detection of Fleeting Emotions: A Convolutional Neural Network Approach to Micro-Expression Recognition 17. A Cost-Effective Approach for Pothole Identification in Roadways using Automated Radar System 18. Smart Farming Assistant for Sustainable Farming 19. AI-Powered Crop Monitoring System 20. Framework for Energy Efficient Resource Management and SLA Violation Reduction through Negotiation 21. Advanced Detection and Classification of Bell Pepper Leaf Diseases Using Vision Transformers 22. Speech-To-Speech Translation 23. Intelligent Occupancy Detection for the Indoor Environment for HVAC Control in a Bright Building Zone Space 24. Diabetic Patient Calorie and Food Management System for the Indian Diet 25. Towards Emotionally Intelligent AI: Enhancing User Experience with Biometric-Driven Adaptive Responses 26. Analyzing the Impact of Outliers and Dimension for Crop Selection using Machine Learning Techniques 27. Tremor Track: A Machine Learning Based Earthquake Prediction System 28. Comparative Analysis of NSE Nifty and BSE Sensex Forecasting using ARIMA, SARIMA and SARIMAX Models 29. Enhanced Query Classification for Malicious SQL Detection Using Ensemble Learning and Bloom Filter Optimisation 30. Blockchain-Driven Solutions for Smart and Sustainable E-Waste Management 31. Multilingual PDF Translation using IndicTrans 32. Comparative Analysis of the Latest Large Language Models for Natural Language Processing Tasks 33. Data-Driven Epileptic Seizure Analysis using Random Forest 34. A Study on Machine Learning Approaches for Medicinal Plant Identification 35. SLAM-Based Self-Navigation Robot Using Adaptive Monte Carlo Algorithm 36. AI-Powered Live Human Detection Under Debris: Ensemble YOLOv5 Model 37. Crop-Specific Fertilizer Recommendation using SMOTE based Machine Learning Models 38. Hybrid Deep Learning Model for Radiomic and Radio Genomic Data: Predicting 39. Federated Hybrid CNN-ViT Model for Brain Tumor Segmentation 40. Land Usage and Land Cover Classification Using CNN 41. Pneumonia Detection with Explainable AI 42. Simulation-Based Autonomous Lawn Mowing Using Double Deep Q-Network 43. Neuro Vision: Advanced CNN with Feature Pyramid and Attention Mechanisms for Precise Brain Tumor Classification 44. Performance Analysis of Single-Input Fuzzy-based Variable Speed Wind Energy System during Symmetrical and Asymmetrical Faults 45. Gambling Mechanics in Mobile Gaming: Impact on India's Market and Consumer Behaviour 46. AI-Driven Detection of Anxiety 47. Detection of Anterior Cruciate Ligament Tear using CNN for Diagnostic Approach 287 48. Hierarchical Evaluation of Advanced Time Series Forecasting Models for Dynamic Demand Prediction 49. Enhanced E-Learning Environment with Adaptive Content Broadcasting 50. Fall Detection System for Elderly People Using Smartwatch 51. Leveraging Self Supervised Learning for Melanoma Skin Cancer Diagnosis 52. An Agentic Explainable AI System for Agricultural Crop Production Prediction and Suitability Mapping 53. Smart Emergency Response System for Real-Time Ambulance Dispatch and SOS Assistance 54. Predictive Analytics of Student Dropouts and Performance Patterns in Online Learning Courses: A Case Study Across Assessment, Interaction, and Demographic Data 55. AI Meets Empathy: Voice-Activated Chatbots Revolutionizing Inclusive Mental Health Care 56. Air-Writing Canvas for Interactive Learning 57. Deep Latent Space Translation for Restoration and Enhancement of Vintage Photographs 58. Agriculture-Focused Platform to Support the One District, One Product Initiative 59. Eyes-Free Insight: Unveiling BVIPs Need for Personalized Health Monitoring System 60. Detecting Autism Spectrum Disorder through Eye-Tracking: A CNN LSTM Model 61. Cyberbullying Detection Using NLP: A Comprehensive Review 62. Beyond GPS: The Future of Navigation with Artificial Intelligence and Augmented Reality 63. DR- Detection of Diabetic Retinopathy Diagnosis 64. Real-Time Traffic Surveillance System Using YOLO CNN 65. A Comprehensive Review of Machine Learning-Based Sentiment Analysis 66. Creation of an Intelligent Chatbot for the Distribution of Government Schemes 67. Fault Diagnosis on Wind Turbines Ferni Ukrit M., Sowmmiya U., 68. Machine Learning Solutions for DDoS Attack Detection in Cloud Computing Systems 69. Data Analysis and Prediction for Cardiovascular Disease Healthcare use Case Adopting Cloud Infrastructure 70. Performance Analysis of a Single-Phase Multilevel Converter using Artificial Intelligence Techniques 71. Privacy-Centric Distributed Storage System with Dynamic Key Encryption and Optimized Queries 72. Ayurvedic Herb Identification and Classification using Deep Learning Techniques 73. Real-Time Emotion Detection Using CNN-LSTM with Attention Mechanisms for Enhanced Accuracy in Video Streams 74. Genetic and Epigenetic-Based Hypoglycemia Prediction for Personalized Diabetes Management Using Machine Learning 75. Diagnosis, Treatment and Prognosis of Autoimmune Disease Using Lesion Imaging 76. Adaptive Cognitive Architectures for Enhanced BCI-Digital Twin Interaction 77. Binary Classification of Cervical Cancer: A Comparative CNN Analysis 78. TalkFusion: Full-Stack Software as a Service AI Platform 79. Deep Learning based Blood Cancer Discerning 80. Green Power EV Charging Stations for Electric Vehicles 81. Vehicle Classification and License Number Plate Recognition Through Deep Learning Techniques 82. ML for Herpes Simplex Virus Outbreak Prediction and Patient Alert System: Algorithm Development and Validation Study 83. A Novel Hybrid Approach for Foreground Extraction in Precision Agriculture 84. A Hybrid Multidimensional Blunt Trauma Analysis Model with Proposed Treatment using Deep Learning 85. Self-Organising Interaction Spaces: A Framework for Engineering Pervasive Applications in Mobile and Distributed Environments 86. Ultrasound Nerve Segmentation Using U-Net 87. ReForGenAI: A Generative AI Framework for Automated Micro-Site Reforestation Planning