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001 978-3-031-71097-1
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020 _a9783031710971
_9978-3-031-71097-1
024 7 _a10.1007/978-3-031-71097-1
_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 _aRevolutionizing Civil Engineering with Neuromorphic Computing
_h[electronic resource] :
_bPathways to Smart and Sustainable Infrastructure /
_cby Ali Akbar Firoozi, Ali Asghar Firoozi.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aIX, 100 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 _aDigital Innovations in Architecture, Engineering and Construction,
_x2731-7277
505 0 _a1. 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.
520 _aThis 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.
650 0 _aEngineering
_xData processing.
650 0 _aBuilding information modeling.
650 0 _aFacility management.
650 0 _aArtificial intelligence.
_958441
650 1 4 _aData Engineering.
_966059
650 2 4 _aBuilding Information Modeling.
650 2 4 _aFacility Management.
650 2 4 _aIntelligence Infrastructure.
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:
_z9783031710964
776 0 8 _iPrinted edition:
_z9783031710988
776 0 8 _iPrinted edition:
_z9783031710995
830 0 _aDigital Innovations in Architecture, Engineering and Construction,
_x2731-7277
856 4 0 _uhttps://doi.org/10.1007/978-3-031-71097-1
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c63351
_d63351