03827nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001600153072001500169072002300184072001400207100008100221245016700302250001800469264006900487300006000556336002600616337002600642338003600668347002400704490006600728505049600794520135601290650003402646650003502680650002502715650002902740650002102769650002702790650002202817650003502839650002502874650003302899650005102932700008202983710003403065773002603099776003603125776003603161830006603197856004603263978-3-031-65549-4DE-He21320251030112654.0cr nn 008mamaa240727s2024    sz |    s    |||| 0|eng d  a97830316554947 a10.1007/978-3-031-65549-42doi 4aTA345-345.5 7aUN2bicssc 7aCOM0180002bisacsh 7aUN2thema1 aFiroozi, Ali Akbar.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aNeuromorphic Computingh[electronic resource] :bTransforming Disaster Management and Resilience in Civil Engineering /cby Ali Akbar Firoozi, Ali Asghar Firoozi.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aX, 90 p. 7 illus., 6 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSpringerBriefs in Applied Sciences and Technology,x2191-53180 aChapter 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.  aThis 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. 0aEngineeringxData processing. 0aBuilding information modeling. 0aFacility management. 0aArtificial intelligence. 0aFire prevention. 0aBuildingsxProtection.14aData Engineering.24aBuilding Information Modeling.24aFacility Management.24aIntelligence Infrastructure.24aFire Science, Hazard Control, Building Safety.1 aFiroozi, Ali Asghar.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303165548708iPrinted edition:z9783031655500 0aSpringerBriefs in Applied Sciences and Technology,x2191-531840uhttps://doi.org/10.1007/978-3-031-65549-4