Proceedings of 6th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
ICMISC 2025, Volume 2
Series: Lecture Notes in Networks and Systems;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 17 January 2026
- ISBN 9789819550814
- Binding Paperback
- No. of pages490 pages
- Size 235x155 mm
- Language English
- Illustrations X, 490 p. 160 illus., 80 illus. in color. 700
Categories
Long description:
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 28–29, 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.
MoreTable of Contents:
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.
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