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.
Table of Contents:
1. Credit Card Fraud Detection 2. A Hybrid Approach for Cardiovascular Disease Diagnosis: J48 Classifier 3. Perinatal Health Surveillance System: ESP32-Enabled GSM and GPRS Integration for Maternal Monitoring 4. Neurodegenerative Disorder Prognostics via Machine Learning: Predictive Modelling for Parkinson’s Disease 5. Leveraging Machine Learning for Personalized Medicine using Genomic Insights in Breast Cancer 6. Analysis of Earthquake Occurrence and Generating an Alert System Using Machine Learning Models 7. Early Prediction and Detection of Chronic Kidney Disease Using Multi-Input Model 8. OptiRAG: A Feedback-Driven Approach to Improving Retrieval-Augmented Generation 9. Panoramic Image Segmentation on Individual Object Instances. 10. Adaptive Energy Efficient Routing in Dynamic Network with Real Time Optimization 11. SiteSleuth: Dynamic Keyword Discovery and Data Scraping Tool 12. Advanced Early Warning System for Lightning and Heat Waves Using Deep Learning and Citizen Alerts 13. Marine Debris Movement Prediction using Deep Learning and Satellite Imagery 14. Privacy-Preserving of Hospital Data using Secure Multi-Party Computation and Federated Neural Models with Encrypted Inference Aggregation 15. Mathematical Reasoning Enhancement Through Fine-tuning: a Comparative Analysis of Gemma-2-2B-IT on GSM8K 16. Binary Magnificent Frigatebird Optimization: A Next-Generation Algorithm for Enhanced Feature Selection and Classification in High-Dimensional Data 17. Deep Learning-based Diagnosis and Impact Visualization of Tuberculosis using CXR Scanned Images 18. ERP System for Shopping Mall 19. Multi-Modal AI Framework for Cardiovascular Risk Prediction 20. Skin Disease Classification by Gabor and FCTH Filters with Ensemble Learning Models: A Machine Learning Approach in Dermatology 21. Integration of Feature Fusion Strategy on Efficient net for Skin Cancer Detection and Classification 22. Detection of Harmful and Toxic Substances in Fruits and Vegetables Using Deep Learning 23. IoT-Integrated Smart Pail for Water Temperature Management and Other Parameters 24. Waste Classification for Smart Recycling Systems: Image-Based Deep Learning with ResNet-50 CNN 25. AI Driven Rooftop Solar Panel Suitability Prediction with GIS based Analysis 26. Performance Analysis on Enhanced Load Balancing using Heuristic Algorithms in Cloud Computing 27. Artificial Intelligence-Driven Aircraft Maintenance with Real-Time Crack Detection and Predictive Analytics 28. Measurement of Temperature and Detection of Fire in Hazardous Places Using a Solar Powered Robotic Electric Vehicle 29. Study of Dark Current using CMOS Camera for the Analysis of Solar Activity at KSO 30. Analyzing Business Reviews on Yelp: Insights from Data Modeling to NLP 31. Combinatorial Testing in the Cloud: Unraveling Paradigms for Modern Application Development 32. Implementing Neural Networks in Python and C++: A Comparative Study 33. ECG Arrhythmia Classification with CAT-LIGHT: A Hybrid Ensemble of Catboost and LightGBM
34. Automatic Delay Control Board and GUI Development for Radio Spectrograph 35. Profiling the Disc in Disc-loaded Waveguide for a Wideband Gyro-Travelling-Wave Tube 36. Design and Fabrication of Solar Powered E-bike for Sustainable Green Transportation 37. Analysis and Design of Fixed-Frequency Control for Solar Applications using Phase-Shift Full-Bridge (PSFB) Resonant Power Converter 38. IoT Cloud-Based Smart Metering System for Dynamic Energy Consumption Analysis 39. Design and Implementation of Modern IoT-based Solar Powered PV Pumping Systems for Agricultural Applications 40. MSAR-Net: A Multi-Scale Residual Network for Automated Detection of Acute Lymphoblastic Leukemia in Microscopic Blood Smear Images 41. Single Switch Modified High Gain Boost Converter with Switched Capacitor Boosting Cell 42. IoT Based LPG Gas Level Detection and Sensor Alert System (E-Mail/SMS) 43. Design and Analysis of High Gain Modified SEPIC using Voltage Boosting Technique 44. Sustainable Microgrid Operations through Renewable Energy and Electric Vehicle Integration Using MPPT Techniques 45. Fusion of Ant Colony Optimization and Priority Scheduling Algorithm for Enhanced Network Efficiency in Next-generation Networks 46. IoT-Enabled Low-Cost Data Acquisition System Using STM32 and LabVIEW Visualization 47. Developing an Ai-Powered OCR Solution for Digitizing and Enhancing the Accessibility of Historical Handwritten Documents in Regional Languages 48. Reducing Pesticides and Fertilizers using Data-Driven Solutions 49. ML and IoT-based Flood-Safe Waterfalls Alert System 50. In-Wear Exoskeleton for Arthritis Patients: Flex Based Real-Time Sensing and Detection 51. Hydrological Classification Using ML Classification Algorithms 52. Prediction of Heart-Attack Stroke and Recommendation System using IoT Network 53. Radio Contra Harmonic Mean Graphs in Security Communication 54. Advancements in Photonic Biosensor Technologies and Machine Learning Algorithms for Continuous Glucose Monitoring in Diabetes Management 55. Encoding and Decoding Algorithm for Ladder Graph on Root Square Mean Labeling 56. Odd Fibonacci Stolarsky-3 Mean Labeling of Intersection Mirror Lagoon Step Graph and Intersection Opposite Lagoon Step Graph 57. Spectral Analysis of the Similarity of Shampoo Ingredients Via Graph Theory 58. Advancing Sustainable Mobility: Comparative Analysis of MCDM Methods with Pilthogenic and Neutrosophic Sets 59. Beyond Automation: Integrative AI Architectures for Context-Aware Smart Healthcare Systems 60. Inscription—Drafting as a Chief Craft 61. Eccentric Distance Number and Eccentric Distance Sequence in Product Graph 62. Edge Domination Decomposition Number of Graphs 63. Exploring Dominator Coloring In Splitting Graphs of Specific Types of Graphs 64. Minimum Connected Dominating Energy of Graphs in Alkane 65. Accurate Connected Domination in Graphs (ACD) 66. Resolving Domination Number of Degree Splitting Graph of a Graph 67. Mathematical Modelling for Optimal Control Analysis on Covid-19 Transmission Dynamics in India 68. Orthogonal Stability of a Generalized Quadratic Functional Equation in Fuzzy Normed Linear Spaces 69. Some Fixed Point Theorems for Generalized Non-expansive Mappings in Fuzzy Banach Spaces 70. Row Column Reduction Method for Solving Solid Transportation Problem 71. Fleshing the Land, from Slavery to Climate Crisis: Environmental Injustice and Embodied Resistance in Toni Morrison and Barbara Kingsolver 72. A Study on Awareness and Attitude Toward the Implementation of LMS Among Faculty Members of Vels Institute of Science, Technology and Advanced Studies (vistas), Chennai 73. Reimagining Mythic Femininity: Emerging Cultural Codes and New Feminist Perspectives on Sita and Goddess Kali 74. Financial Literacy and its Impact on Savings and Borrowing Decisions Among Working Professionals in South Chennai Suburban Area 75. Prevalence of Neck Musculoskeletal Disorders during COVID-19 Pandemic in Physiotherapy Students 76. Comparison of Snag and Myofascial Release Along with Exercises for Improving Pain and Neck Disability Among Cervicogenic Headache Patients 77. Digital Interventions for Adolescent Anxiety Disorders: A Meta Analysis 78. Mental Health Outcomes among Frontline Healthcare Workers Post-COVID-19 79. Next Generation Automation: The Role of AI in Smart Systems 80. Decoding Consumer Behaviour in the Age of Tech-Driven Product Management: Integrating Marketing, Analytics, and CRM for Competitive Advantage 81. Strategic Management in the Digital Age 82. YogaMate: Posture Detection and Correction in Yoga Using Mediapipe and Deep Learning 83. Explainable AI for Early Identification of Polycystic Ovary Syndrome using a Calibrated Neural Network 84. Robust Intrusion Detection for Smart Agriculture Networks using CatBoost and Adversarial Training 85. Machine Learning Solutions for Reducing Childhood Internet Dependency 86. Automating Test Method Selection in Software Repositories using NLP-Based Neural Networks 87. Enhancing Technology Product Recommendations: A Machine Learning Approach for GPU Classification Based on Memory Type
About the Author :
Dr. A. Punitha
Professor, Electronics and Communication Engineering, is an accomplished academician with extensive experience in teaching, research, and academic leadership. With a strong background in Electronics and Communication, she has dedicated her career to advancing knowledge in domains such as Embedded Systems, VLSI, Communication Networks, and Automation Technologies. She has successfully guided numerous research projects, fostering innovation and technical excellence among students and scholars. She holds a Ph.D. in Electronics and Communication Engineering and possesses a deep interest in interdisciplinary research areas including Artificial Intelligence, Wireless Communication, and Sensor Networks. Her expertise extends to curriculum design, academic coordination, and the organization of high-impact conferences, seminars, and workshops. As Convenor of PEACE 2025, she has played a pivotal role in bringing together global experts, researchers, and industry professionals on a common platform to share knowledge and collaborate on emerging technologies. Dr. A. Punitha’s academic achievements, leadership qualities, and commitment to excellence continue to inspire both her peers and students.
Dr. S. Syedakbar , M.E., Ph.D
Assistant Professor, Department of Electronics and Communication Engineering, K. Ramakrishnan College of Technology (Autonomous), Samayapuram, Trichy-621112, Tamil Nadu, India, is an accomplished academician with exceptional expertise and leadership in the field of Electronics and Communication. With extensive experience in academic administration, research, and delivering impactful instruction for academic excellence, he has demonstrated a deep commitment to fostering innovation and quality education. He possesses sound knowledge in education planning, curriculum development, and is well-versed with modern academic frameworks practiced by leading institutions. His exemplary communication, interpersonal, and situational management skills have greatly contributed to the advancement of the department. Dr. S. Syedakbar is a distinguished scholar, researcher, and educator with specialized expertise in cutting-edge domains of electronics, communication systems, and related interdisciplinary areas. With years of dedicated service in both teaching and research, he has made significant contributions towards nurturing young minds, promoting impactful research, and enhancing the academic profile of the department. His vision and dedication continue to inspire students, faculty, and researchers alike.
Dr. S. Jeyasudha
Dr. S. Jeyasudha has achieved her M.E. and Ph.D. degrees in the field of Electrical Engineering, specializing in Power Electronics, Renewable Energy Systems, and Smart Grid Technologies. She has over 20 years of teaching and research experience, with a strong commitment to advancing both academic and industrial applications in the electrical engineering domain. Her research interests include Smart Grids, Renewable Energy Integration, Industrial Automation, Power Electronic Converters, and AI-driven Process Optimization. She has published numerous research papers in reputed International Journals and National/International Conferences, contributing significantly to the fields of sustainable energy and intelligent control systems. In addition, she has been actively involved in organizing academic events, guiding student research, and fostering industry-academia collaborations.She serves as a reviewer and editorial board member for several recognized journals and has reviewed multiple technical papers for IEEE conferences. As Convenor of PEACE 2025, Dr. S. Jeyasudha has played a crucial role in creating a platform that unites researchers, academicians, and professionals to share knowledge, discuss innovations, and address the challenges of the modern engineering landscape.
