Intelligent Technologies and Robotics

This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry.

This book includes peer reviewed articles from the Fifth International Conference on Intelligent Systems and Networks (ICISN 2025), held at Hanoi in Vietnam. It presents latest research outcomes and results of cutting-edge work reported by the authors, which are very useful for the researchers and industry practitioners. The scope of the proceedings include, but not limited to Foundations of Computer Science; Computational Intelligence, Language and Speech Processing; Software Engineering and Software Development Methods; Wireless Communications, Signal Processing for Communications, Next-Generation Mobile Networks, Internet-of-Things and Sensor Systems; etc. We believe that selected manuscripts will be of great value as references for these emerging areas of research.

This book presents original, peer-reviewed research papers from the International Conference on Recent Trends in Artificial Intelligence and Data Sciences—CONFLUENCE 2025. It highlights the latest advancements across diverse areas of data science and computational techniques. The volume focuses on artificial intelligence, machine learning, deep learning, soft computing, and other emerging methodologies. By sharing recent findings in these domains, the book serves as a valuable resource for researchers, scientists, industry professionals, and students alike.