Smart Urban Computing Applications

This edited book is a collection of quality research articles reporting research advances in the area of deep learning, IoT, and urban computing. It describes new insights based on deep learning and IoT for urban computing and is useful for architects, engineers, policymakers, facility managers, academics, and researchers who are interested in expanding their knowledge of the applications of deep learning trends involving urban computing.

Format: Hardback
Length: 232 pages
Publication date: 07 February 2023
Publisher: River Publishers

This edited book is a treasure trove of high-quality research articles that delve into the latest advancements in the fields of deep learning, IoT, and urban computing. It offers invaluable insights based on cutting-edge deep learning and IoT technologies, providing valuable guidance for architects, engineers, policymakers, facility managers, academics, and researchers seeking to expand their expertise in the ever-evolving applications of deep learning trends in urban computing.

The book comprehensively explores emerging trends and applications in smart cities, transportation systems, healthcare, energy management, and other urban domains. It features contributions from leading experts in the field, presenting their latest research findings and theoretical frameworks.

Each chapter in the book provides a detailed overview of the relevant topic, covering key concepts, methodologies, and case studies. The articles are written in a clear and accessible manner, making them suitable for both technical professionals and non-technical readers interested in understanding the potential of these technologies in shaping the future of cities.

One of the key strengths of this edited book is its interdisciplinary nature. It brings together experts from various fields, including computer science, engineering, urban planning, and public policy, to foster collaboration and knowledge exchange. This collaboration ensures that the book addresses the complex challenges and opportunities that arise in the context of urban computing, providing holistic solutions that consider the social, economic, and environmental aspects of urban development.

In conclusion, this edited book is a must-read for anyone interested in the latest developments in deep learning, IoT, and urban computing. It provides a comprehensive and interdisciplinary perspective on these topics, offering valuable insights and guidance for professionals and researchers alike. By exploring the intersection of these technologies, the book contributes to the development of smarter, more sustainable, and resilient cities of the future.

Weight: 630g
Dimension: 234 x 156 (mm)
ISBN-13: 9788770227490