The proceedings offer a meticulously curated compilation of peer-reviewed papers presented at the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).
This book provides a comprehensive collection of cutting-edge research and innovative solutions... Læs mere
This book introduces the prevailing domains of recommender systems and cross-device federated learning, highlighting the latest research progress and prospects regarding cross-device federated recommendation.
This book explores various optimization techniques that can be used to address problems in the real world. In many real-world situations, from business to... Læs mere
This book describes novel ways of using deep learning to solve real-world problems. It covers advanced deep learning topics like neural architecture search, ensemble... Læs mere
margin: 4.5pt 0cm 5.0pt 0cm;">This book gathers outstanding research papers presented at the 8th International Joint Conference on Advances in Computational Intelligence (IJCACI 2024), held in hybrid mode at South Asian University, New Delhi, India, during October 5–6, 2024.
This book provides a holistic and comprehensive approach to deep learning for vehicular ad hoc networks (VANETs), covering various aspects such as applications, agency involvement, and potential ethical and legal issues.
This book provides a comprehensive coverage of machine learning techniques ranging from fundamental to advanced. The content addresses topics within the... Læs mere