Intelligent Systems of Computing and Informatics in Sustainable Urban Development

This book explores intelligent systems in computing and informatics, focusing specifically on their role in advancing Sustainable Development Goal (SDG) No. 11 – Sustainable Cities and Communities.

SDG 11 is part of the 17 Sustainable Development Goals adopted by the United Nations in 2015. From innovative urban planning to efficient resource management and enhanced community well-being, the book navigates through the multifaceted applications of intelligent systems in the pursuit of sustainable urban development. By emphasizing practical insights, readers gain actionable knowledge to apply the concepts in diverse urban contexts. The authors provide a holistic perspective on the integration of intelligent systems within the context of SDG No. 11.The book comprehensively explores the intersection of computing, informatics, and sustainable urban development. Real-world examples and case studies are used to illustrate the successful implementation of intelligent systems in creating sustainable cities. Readers will learn about the integration of computing technologies and informatics in urban environments, aiming to create smarter, resilient, and sustainable cities. With the ever-evolving nature of technology and urban development, this book delves into the latest advancements in intelligent systems, ensuring that readers are equipped with insights into cutting-edge technologies and their potential impact on sustainable cities. A multidimensional approach using computing, informatics, urban planning, and sustainability studies facilitates a more comprehensive understanding of the challenges and opportunities in creating intelligent, sustainable urban environments.

Practitioners in urban planning, technology, and related fields can utilize this book as a practical guide for implementing intelligent systems and best practices in making informed decisions. Researchers can also leverage the comprehensive coverage of the topic to inform and substantiate their own studies and investigations.

Samsul Ariffin Abdul Karim is an Associate Professor in the Business Mathematics Programme at the School of Quantitative Sciences, Universiti Utara Malaysia. Dr. Karim’s research spans diverse areas, including numerical analysis, mathematical modeling, spline and approximation theory, machine learning, and optimization.

Aslina Baharum is an Associate Professor in the Department of Data Science and Artificial Intelligence at the School of Engineering and Technology, Sunway University, Malaysia. She has a rich background in both academia and industry, with over 20 years of experience in the field of information technology. Dr.Baharum is also a member of the Young Scientists Network – Academy of Science Malaysia.