04138nam a22005775i 4500 978-3-031-71097-1 DE-He213 20251030113040.0 cr nn 008mamaa 240913s2024 sz | s |||| 0|eng d 9783031710971 978-3-031-71097-1 10.1007/978-3-031-71097-1 doi TA345-345.5 UN bicssc COM018000 bisacsh UN thema Firoozi, Ali Akbar. author. aut http://id.loc.gov/vocabulary/relators/aut 81394 Revolutionizing Civil Engineering with Neuromorphic Computing [electronic resource] : Pathways to Smart and Sustainable Infrastructure / by Ali Akbar Firoozi, Ali Asghar Firoozi. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. IX, 100 p. 7 illus., 6 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Digital Innovations in Architecture, Engineering and Construction, 2731-7277 1. Introduction -- 2. Fundamentals of Neuromorphic Computing -- 3. Neuromorphic Computing in Civil Engineering: Theoretical Framework -- 4. Emerging Circuits and Memory Technologies -- 5. Intelligent Learning Algorithms for Smart Infrastructure -- 6. Case Studies and Application-Driven Systems -- 7. Challenges and Future Directions -- 8. Implementation Strategies -- 9. Risk Management and Contingency Planning -- 10. Ethical Design and Development Guidelines -- 11. Toward the Horizon: Concluding Insights. This book delves into the transformative potential of neuromorphic computing within the realm of civil engineering, emphasizing its role in advancing smart infrastructure systems. Neuromorphic computing, inspired by the neural structures of the human brain, offers unparalleled efficiencies in processing complex, dynamic data sets, thereby facilitating realtime decision-making and predictive analytics in infrastructure management. Through a comprehensive exploration of emerging circuits, memory technologies, intelligent learning algorithms, and application-driven systems, it illustrates how neuromorphic computing can significantly enhance the resilience, efficiency, and sustainability of urban infrastructure. The book further addresses the challenges, ethical considerations, and future directions associated with the integration of these advanced technologies into civil engineering projects. Through detailed case studies, it provides insights into successful implementation strategies, risk management, and contingency planning, underscoring the importance of ethical design and development. This book serves as a valuable resource for practitioners, researchers, and policymakers involved in the evolution of civil engineering toward smarter, more responsive, and sustainable urban environments. Engineering Data processing. Building information modeling. Facility management. Artificial intelligence. 58441 Data Engineering. 66059 Building Information Modeling. Facility Management. Intelligence Infrastructure. Firoozi, Ali Asghar. author. aut http://id.loc.gov/vocabulary/relators/aut 81395 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031710964 Printed edition: 9783031710988 Printed edition: 9783031710995 Digital Innovations in Architecture, Engineering and Construction, 2731-7277 https://doi.org/10.1007/978-3-031-71097-1 ZDB-2-INR ZDB-2-SXIT 63351 63351