Proceedings of 6th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications : ICMISC 2025, Volume 1 (Lecture Notes in Networks and Systems)

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Proceedings of 6th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications : ICMISC 2025, Volume 1 (Lecture Notes in Networks and Systems)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 492 p.
  • 言語 ENG
  • 商品コード 9789819550784

Full 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.

Contents

CNN-XGBoost with Score-CAM for detection of Cardiovascular Diseases using ECG Images.- Personalized Depression Management System Using LLMs and Reinforcement Learning: A Survey.- Smart Traffic Control with Ambulance Detection Using IoT.- Mental Health Therapist Chatbot Using NLP.- Systematic Review and Primary Outcomes in Arrhythmia Detection via Evolutionary Optimization.- AI Enhanced Personalized Career Pathways through Generative Adversarial Networks and Bi-GRU Networks.- Network Intrusion Detection in VANETS Using Ma-chine Learning: Securing VANETS with Machine Learning- Based NIDS Approach.- Combatting Malnutrition through Personalized Web-Based Platforms: An Integrated BMI, BMR and TDEE Approach.- YieldDirect : Helping Farmers Maximize Yield.- Smart Solar Grass Cutter with Lawn Coverage Assistant.- TOCyG-Net: A Triple-Integrated Model for Superior Rain Streak Removal in High-Fidelity Image Processing.- Advancing Media Integrity with VeritasBERT: A Specialized Approach to Fake News Identification.- Advanced Machine Learning for CAPTCHA Recognition: Evaluating the Efficacy of FlowCap-Net.- Hybrid GAN and ResNet-50 model for Deepfake Detection Using AI-Powered Face-Fusion Analysis.

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