Proceedings of 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

ICMISC 2024, Volume 2
2025
ISBN: 978-981-97-8864-4
Verlag: Springer Nature Singapore

Buch, Englisch, 529 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 927 g

Reihe: Lecture Notes in Networks and Systems

This book contains original, peer-reviewed research articles from the 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, 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.

Zielgruppe

Research

Autoren/Hrsg.

Zurada, Jacek M.

Gunjan, Vinit Kumar

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme

Inhaltsverzeichnis

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.

Über Autor(innen)

Vinit Kumar Gunjan is Associate Professor in the Department of Computer Science and Engineering at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad).  Vinit Kumar Gunjan is 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. Vinit Kumar Gunjan was awarded with the prestigious Early Career Research Award in the year 2016 by the Science Engineering Research Board, Department of Science & Technology Government of India.

Dr. Jacek M. Zurada (SM’85, F’96, LF’14) is 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 Department Chair and Distinguished University Scholar. He was 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 Postdoctoral Fellow at the Swiss Federal Institute of Technology, Zurich, Switzerland.