Proceedings of 5th International Conference on Artificial Intelligence and Smart Energy

Dr. S. Manoharan graduated in electrical and electronics engineering in the year 1997 from Government College of Technology, Coimbatore, and obtained master of engineering in electrical machines from PSG College of Technology, Coimbatore, in 2004. He pursued his Ph.D. at Anna University, Chennai, from the year 2006 to 2010 in the area of electrical machines and drives. He has vast experience of 26 years in academics as well as administration. He has impressive academic credentials and has vast experience in research and development areas. He has published over 110 + peer-reviewed research papers in prestigious national and international journals, as well as presented papers at national and international conferences. He has written and published over a half-dozen textbooks on electrical and electronics topics. He has received grants from DRDO and MNRE for conducting international conferences. He is on the advisory board of many national and international conferences.Dr. Alexandru Tugui is a full professor in the Department of Accounting, Business Informatics, and Statistics at the Alexandru Ioan Cuza University of Iasi, Romania, where he leads innovative research in artificial intelligence (AI), smart economy, and societal transformations. With decades of academic and research experience, he has made significant contributions to the understanding and application of AI, focusing on its limits, societal impacts, and integration into smart technologies. His work has appeared in several prestigious journals, emphasizing the smart economy, calm technology, and technological singularity. As a Ph.D. adviser in business informatics, Tugui mentors the next generation of researchers, combining his deep knowledge of AI with practical insights into smart energy solutions. His commitment to exploring the intersection of AI with smart energy makes him a valuable contributor to discussions on future technological directions and their implications for society and the environment.Dr. Isidoros Perikos completed his Ph.D. in computer engineering and informatics, Computer Engineering and Informatics Department at University of Patras, Greece (2016), and M.Sc. in computer science and technology, Computer Engineering and Informatics Department at University of Patras (2010). He has completed an engineering diploma (5-year program, M. Eng.) in computer engineering and informatics, Computer Engineering and Informatics Department at University of Patras (2008). His research interests include ontology engineering, web intelligence, natural language processing and understanding, human–computer interaction, and affective computing robotics. He has published in national and international journals and conferences.

• Driving Smart Energy & Water Resource Conservation in HomeAppliances : Innovating for Sustainability.- Integrating Voting Classifiers to Predict Customer Churn in the Banking Sector.- A Study on Semantic Segmentation of Satellite Imagery focusing Lightweight Models.- EmoConsult - Emotion-Based Content and Wellness Solutions Using MediaPipe and DL.- Proficient Information Supervision - Information Organization Decryption and Encryption Loom.- Photovoltaic Farm Production Forecasting by Modified Metaheuristic-Optimized Gated Recurrent Units Networks.- Analytical Neural Network with Python Programming and Business Intelligence Analysis in Packaging Company.- XGBoost-Powered Layoff Risk Prediction and Personalized Career Guidance Chatbot.- Optimal Path finding in Green Spaces Using Euclidean Distance and Tree Density Factors.- Sales Data Forecasting Using Arima Model.- IoT-Enabled Smart Crib for Baby Health Monitoring, Sleep Tracking, and Parental Notification System.- Developing An Interactive Two-Way Sign Language Communication System With MobileNet.- Design and implementation of smart room freshner.- Selective Encryption Algorithm: A Comprehensive Literature Review.- A Novel SVS Control Strategy for Strengthening of Transient Behaviour of Power generation system with a wide Range of Series Compensation.