Proceedings of 6th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

This book includes original, peer reviewed research articles from 6th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (ICMISC 2025), held in March 2829, 2025 at CMR Institute of Technology, Hyderabad, India. It covers the latest research trends and developments in areas of machine learning, smarty cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network and cognition.

Presents research works in various fields of artificial intelligence and cyber-physical systems Is the result of ICMISC 2025 held at CMR Institute of Technology, Hyderabad, Telangana, India Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Dr. Vinit Kumar Gunjan is an associate professor in Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad). An active researcher, published research papers in IEEE, Elsevier & Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. He was awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board, Department of Science & Technology Government of India. He was involved as an organizer in many technical and non-technical workshops, seminars and conferences of IEEE and Springer. During the tenure, he had an honour of working with top leaders of IEEE and awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.

Dr. Jacek M. Zurada (SM 85, F 96, LF 14) is a professor of Electrical and Computer Engineering and director of the Computational Intelligence Laboratory at the University of Louisville, Louisville, Kentucky, USA, where he served as the department chair and a distinguished university scholar. He was a professor at Princeton University, Northeastern University, Auburn University, the National University of Singapore, Nanyang Technological University in Singapore, Chinese University of Hong Kong, the University of Chile, Santiago, Toyohashi University of Technology, Japan, the University of Stellenbosch, South Africa, the University of Marie-Curie, Paris, France, and was a postdoctoral fellow at the Swiss Federal Institute of Technology, Zurich, Switzerland.

Inhalt

Jaundice stages prediction using supervised machine learning.- Pleural pathologies detection using capacitive sensors.- Navigating the Complexities of Indoor Air Quality: Critical Analysis of Key Pollutants and Monitoring Sites.- Automated Irrigation and Hazard Detection Using IoT for Sustainable Farming.- A Deep Attention Network Based Approach For Healthcare Provider Fraud Detection.- Bacterial Blight Diseases (BBD) Detection Using Artificial Intelligence: A Systematic Review.- GSM Based Solar Powered Vehicle Accident Detection System.- Key Determinants of Soil Erosion: Insights using Machine Learning Algorithm.- A LoRa WAN-Enabled Smart Automation Framework for Industrial Applications: Performance and Efficiency.- Predictive Energy Management System for Hybrid Electric Vehicles with IoT-Driven Sensors.- Enhanced Content-Based Image Retrieval Using ConvNeXt with Relevance Feedback.- IOT based Prepaid Energy Meter with Stealing Alert.- Diagnosis of Varicose Veins of the Lower Limbs Based on Infrared Thermography.- Machine Learning Approaches for 5G Coverage Prediction: A Comparative Study of Algorithms and Feature Contributions.