Data Driven Applications for Industry 4.0 and Beyond. Este artículo no está disponible.Data Driven Applications for Industry 4.0 and Beyond

The increasing reliance on automation and data-driven decision-making is transforming industries. As technology advances, the need for more intelligent and efficient systems is growing. This book explores how data-driven approaches are being applied in various fields to solve real-world challenges.

With contributions from researchers and professionals, the chapters discuss practical applications of modern computational techniques. Topics range from optimizing industrial processes to improving predictive systems in different sectors. The book also emphasizes the importance of responsible and interpretable technology to ensure fairness and transparency.

This book is a valuable resource for students, researchers, and professionals looking to understand the evolving role of data in industry. It provides insights into emerging trends and encourages further exploration in the field of intelligent systems and automation.

Dr. Nazmul Siddique is a researcher at the School of Computing, Engineering, and Intelligent Systems, Ulster University. He has published over 170 research papers and several books on cybernetics and computational intelligence. His editorial roles in top journals highlight his academic influence and contributions.

Dr. Mohammad Shamsul Arefin is a professor at the Department of CSE, CUET, and Dean of Electrical and Computer Engineering. He has over 170 publications in journals and conferences on data mining, distributed computing, and machine learning. His leadership has significantly fostered research growth and academic excellence in many aspects.

Dr. K. M. Azharul Hasan, Professor, Department of CSE, KUET, has served as the Head of CSE and Dean of EEE, making significant contributions to engineering education in Bangladesh. He earned the University Gold Medal at Khulna University, completed his M.Eng. at AIT, Thailand, and obtained a Ph.D. from the University of Fukui, Japan, specializing in flexible data warehouse design. Currently, his research focuses on Big Data and Natural Language Processing, driving advancements in data management, computational intelligence, and AI.

Dr. M Shamim Kaiser is a professor and Chairman at the Institute of Information Technology, Jahangirnagar University. He has authored over 100 research papers on machine learning, cyber security, and cognitive radio networks. His leadership at IIT has driven academic and research excellence in ICT.