Proceedings of 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications : ICMISC 2024, Volume 2 / / edited by Vinit Kumar Gunjan, Jacek M. Zurada

• Record Nr.: UNINA9910983312603321
• Autore: Gunjan Vinit Kumar
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• ISBN: 9789819788651; 981978865X
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (586 pages)
• Collana: Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1182
• Altri autori (Persone): ZuradaJacek M
• Disciplina: 621.38
• Soggetti: Cooperating objects (Computer systems); Internet of things; Wireless communication systems; Mobile communication systems; Machine learning; Artificial intelligence; Data protection; Cyber-Physical Systems; Internet of Things; Wireless and Mobile Communication; Machine Learning; Artificial Intelligence; Data and Information Security
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Cardiovascular Disease Detection Using Ensemble Learning -- VisionCraft: Advanced Image Captioning with Pre-trained Models -- Revolutionizing Leaf Disease Management: Harnessing Machine Learning Strategies for Detection and Diagnosis -- Comparative Analysis of Neural Trajectory Prediction Models for Vehicle Tracking -- Guardians of Green: Deep Learning Methods for Plant Disease Detection -- Unveiling Mental Health Insights: Twitter Text Analysis using NMF and Clustering.
• Sommario/riassunto: This book contains original, peer-reviewed research articles from the 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, which will be held in Hyderabad, India on 28–29 March 2024. It includes the most recent research trends and advancements in machine learning, smart cities, IoT, AI, cyber-physical systems, cybernetics, data science, neural networks, and cognition. This book addresses the comprehensive nature of AI, ML, and DL to highlight its role in the modelling, identification, optimisation, prediction, forecasting, and control of future intelligent systems.