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020 _a9783031655494
_9978-3-031-65549-4
024 7 _a10.1007/978-3-031-65549-4
_2doi
050 4 _aTA345-345.5
072 7 _aUN
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aUN
_2thema
100 1 _aFiroozi, Ali Akbar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981394
245 1 0 _aNeuromorphic Computing
_h[electronic resource] :
_bTransforming Disaster Management and Resilience in Civil Engineering /
_cby Ali Akbar Firoozi, Ali Asghar Firoozi.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aX, 90 p. 7 illus., 6 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-5318
505 0 _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.
520 _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.
650 0 _aEngineering
_xData processing.
650 0 _aBuilding information modeling.
650 0 _aFacility management.
650 0 _aArtificial intelligence.
_958441
650 0 _aFire prevention.
_969893
650 0 _aBuildings
_xProtection.
_969894
650 1 4 _aData Engineering.
_966059
650 2 4 _aBuilding Information Modeling.
650 2 4 _aFacility Management.
650 2 4 _aIntelligence Infrastructure.
650 2 4 _aFire Science, Hazard Control, Building Safety.
_969895
700 1 _aFiroozi, Ali Asghar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981395
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031655487
776 0 8 _iPrinted edition:
_z9783031655500
830 0 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-5318
_965846
856 4 0 _uhttps://doi.org/10.1007/978-3-031-65549-4
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c61972
_d61972