04225nam a22006015i 4500 978-3-031-65549-4 DE-He213 20251030112654.0 cr nn 008mamaa 240727s2024 sz | s |||| 0|eng d 9783031655494 978-3-031-65549-4 10.1007/978-3-031-65549-4 doi TA345-345.5 UN bicssc COM018000 bisacsh UN thema Firoozi, Ali Akbar. author. aut http://id.loc.gov/vocabulary/relators/aut 81394 Neuromorphic Computing [electronic resource] : Transforming Disaster Management and Resilience in Civil Engineering / by Ali Akbar Firoozi, Ali Asghar Firoozi. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 90 p. 7 illus., 6 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Applied Sciences and Technology, 2191-5318 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. 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. Engineering Data processing. Building information modeling. Facility management. Artificial intelligence. 58441 Fire prevention. 69893 Buildings Protection. 69894 Data Engineering. 66059 Building Information Modeling. Facility Management. Intelligence Infrastructure. Fire Science, Hazard Control, Building Safety. 69895 Firoozi, Ali Asghar. author. aut http://id.loc.gov/vocabulary/relators/aut 81395 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031655487 Printed edition: 9783031655500 SpringerBriefs in Applied Sciences and Technology, 2191-5318 65846 https://doi.org/10.1007/978-3-031-65549-4 ZDB-2-INR ZDB-2-SXIT 61972 61972