UID:
almahu_9949850794402882
Format:
X, 90 p. 7 illus., 6 illus. in color.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9783031655494
Series Statement:
SpringerBriefs in Applied Sciences and Technology,
Content:
This book delves into the transformative potential of neuromorphic computing within the field of civil engineering, specifically focusing on its application to disaster management. With the increasing frequency and severity of natural disasters, traditional disaster management systems face significant challenges in prediction accuracy, response time, and effective resource allocation. Neuromorphic computing, inspired by the neural processes of the human brain, offers a revolutionary approach to addressing these challenges. Through an in-depth exploration, this book outlines the theoretical foundations of neuromorphic computing, its integration into smart infrastructure, and the development of advanced predictive models for natural disasters such as earthquakes, floods, and urban fires. Additionally, it examines the technical, ethical, and social considerations inherent in deploying these technologies, alongside a vision for their future development. The convergence of neuromorphic computing and civil engineering heralds a new era of enhanced resilience, where more informed, rapid, and effective disaster management strategies are not just a possibility but a reality. The book contributes to the discourse on leveraging cutting-edge computing technologies to foster safer, more resilient communities in the face of natural calamities.
Note:
Chapter 1.Introduction -- Chapter 2.Theoretical Foundations -- Chapter 3.Disaster Management in Civil Engineering -- Chapter 4.Neuromorphic Computing in Smart Infrastructure -- Chapter 5.Advanced Predictive Models for Natural Disasters -- Chapter 6.Intelligent Decision-Making Frameworks -- Chapter 7.Challenges and Limitations -- Chapter 8.Case Studies and Real-World Applications -- Chapter 9.Ethical, Legal, and Policy Implications -- Chapter 10.Toward a Resilient Future: The Path Ahead.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031655487
Additional Edition:
Printed edition: ISBN 9783031655500
Language:
English
DOI:
10.1007/978-3-031-65549-4
URL:
https://doi.org/10.1007/978-3-031-65549-4
URL:
Volltext
(URL des Erstveröffentlichers)
