Computational Intelligent Systems: Applications of AI and Machine Learning (Infosys Science Foundation Series) - Tapa dura

Acerca del autor

M. Irfan Uddin is Assistant Professor in the Institute of Computing, Kohat University of Science and Technology, Kohat, Khyber Pakhtunkhwa, Pakistan. He has received his education in computer science and has more than 19 years of teaching and research experience in prestigious organizations. Author of two books, he has published more than 100 research papers in international journals and conferences. He has participated in multiple international research projects and secured a patent from the United States Patent and Trademark Office.

Furqan Aziz is Lecturer in the School of Computing and Mathematical Sciences at the University of Leicester, since 2022. Earlier, he served as Research Fellow at the Institute of Cancer and Genomic Sciences, University of Birmingham, UK. He holds a Ph.D. in Computer Science from the University of York, UK. His research focuses on spectral graph theory, complex networks, machine learning, and bioinformatics, combining computational methods and theoretical frameworks to address challenges in data analysis and biological systems.

Hossein Jafari is Distinguished Professor in the Department of Mathematics at the University of South Africa. His expertise spans fractional differential equations, Lie symmetry, and bio-mathematics. His research bridges theoretical and applied mathematics, driving innovation in solving complex scientific and engineering problems. He is the author of several papers in prestigious journals and conferences.

De la contraportada

This book contains select chapters on a broad spectrum of topics on artificial intelligence, machine learning, and computational methodologies. Presented at the 3rd International Conference on Computational Intelligent Systems (ICCIS2024), held at Kohat University of Science and Technology (KUST), Kohat, Pakistan, from 2 to 3 December 2024, it contains 27 chapters. Each chapter offers insightful perspectives on tackling real-world challenges through intelligent algorithms and systems, from optimizing traffic management in smart cities and enhancing healthcare diagnostics with machine learning to advancing information security and leveraging quantum deep learning for innovative applications.

The book explores practical implementations, such as intelligent sensors for highway monitoring, adaptive systems for residential energy efficiency, and groundbreaking technologies for human–computer interaction. It provides a detailed analysis of the potential of computational intelligent systems to address complex issues across diverse domains, including healthcare, robotics, cybersecurity, and e-agriculture. The book is designed for researchers, students, and practitioners encapsulating the latest research findings and methodologies in the evolving landscape of intelligent systems. Whether understanding the theoretical concepts or exploring hands-on applications, readers will find this book a valuable resource for understanding the cutting-edge developments shaping the future of computational intelligence.