Addressing Urbanism Challenges With AI and the Internet of Things - Hardcover

Hardcover

ISBN 13: 9798369381410

Publisher: IGI Global, 2025

Synopsis

Addressing the challenges of urbanism requires innovative solutions that can manage the complexities of growing cities. The integration of artificial intelligence (AI) and Internet of Things (IoT) offers powerful tools to tackle issues like traffic congestion, waste management, energy efficiency, and public safety. Through smart sensors, data analytics, and machine learning algorithms, AI and IoT can provide real-time insights and automation, enabling cities to become more adaptive, sustainable, and livable. By harnessing these technologies, urban planners can optimize resources, improve citizen services, and create safer, greener environments. As urban populations rise, further research into AI and IoT may help communities build smarter cities for the future. Addressing Urbanism Challenges With AI and the Internet of Things delves into the transformative potential of advanced technologies in addressing these complex global issues. It presents a comprehensive exploration of how cutting-edge technologies can drive positive change and foster sustainable development worldwide. This book covers topics such as data science, energy engineering, and smart technology, and is a useful resource for business owners, engineers, environmentalists, urban designers, academicians, and researchers.

About this title

About the Authors

Adnčne Arbi is a distinguished academic affiliated with the University of Carthage in Tunisia, where he has contributed significantly to the fields of mathematics and engineering. His tenure at the university spans over a decade, during which he has held various positions, including roles at the Ecole Polytechnique de Tunisie and the National Institute of Applied Sciences and Technology. His research interests primarily focus on neural networks, dynamical systems, and mathematical modeling, with a particular emphasis on the stability and controllability of complex systems. Arbi's recent publications reflect his commitment to advancing knowledge in applied mathematics, particularly through innovative approaches such as wavelet neural networks and the dynamics of nonlinear systems. His work has been published in reputable journals, contributing to the understanding of mathematical phenomena in both theoretical and practical contexts.

Imene Ouali is a researcher in Computer Science with a specialization in signal and image processing technologies. Her work spans multiple advanced fields, including Artificial Intelligence (AI), Augmented Reality (AR), and Ontology. She has contributed to cutting-edge research and development, integrating these technologies to solve complex problems in various domains. With a strong academic background and extensive experience in AI-driven applications, Dr. Ouali focuses on developing innovative solutions that bridge theoretical advancements and practical implementations. Her expertise also extends to interdisciplinary projects, where she explores the synergy between intelligent systems, data analysis, and emerging technologies.

Achraf Wali is a doctoral student in Computer Science at the University of Sfax. His research focuses on the Internet of Things (IoT), artificial intelligence (AI), and business intelligence (BI) applications. He earned a bachelor's degree in Computer Science and Multimedia, followed by a research master's degree in Big Data, both from the University of Sfax. Additionally, he completed exchange programs at the University of Riga (Latvia) and the University of Palma de Mallorca (Spain), where he achieved distinguished academic results and gained practical experience in various research areas. Furthermore, he has completed several internships with national and international companies. He has also presented his work at international conferences. In addition, he is proficient in multiple languages, including English.

Edition details

• Publisher: IGI Global
• Publication date: 2025
• Language: English
• ISBN 13: 9798369381410
• Binding: Hardcover
• Number of pages: 310
• Editor: Arbi Adnčne, Ouali Imene, Wali Achraf