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Titlebook: Revolutionizing Civil Engineering with Neuromorphic Computing; Pathways to Smart a Ali Akbar Firoozi,Ali Asghar Firoozi Book 2024 The Edit

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發(fā)表于 2025-3-21 17:11:44 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Revolutionizing Civil Engineering with Neuromorphic Computing
副標題Pathways to Smart a
編輯Ali Akbar Firoozi,Ali Asghar Firoozi
視頻videohttp://file.papertrans.cn/830/829913/829913.mp4
概述Provides a comprehensive examination of innovative circuits, intelligent algorithms, and application-driven systems.Serves as a valuable resource for practitioners, researchers, and policymakers.Sheds
叢書名稱Digital Innovations in Architecture, Engineering and Construction
圖書封面Titlebook: Revolutionizing Civil Engineering with Neuromorphic Computing; Pathways to Smart a Ali Akbar Firoozi,Ali Asghar Firoozi Book 2024 The Edit
描述.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 real time 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 invol
出版日期Book 2024
關鍵詞Neuromorphic Computing; Smart Infrastructure; Risk Management in Civil Engineering; Resilient Infrastru
版次1
doihttps://doi.org/10.1007/978-3-031-71097-1
isbn_softcover978-3-031-71099-5
isbn_ebook978-3-031-71097-1Series ISSN 2731-7269 Series E-ISSN 2731-7277
issn_series 2731-7269
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Fundamentals of Neuromorphic Computing,nhance computational systems. This chapter explores the core components such as artificial neurons and synapses and introduces spiking neural networks (SNNs) that mimic biological processes. It discusses the historical evolution, theoretical underpinnings, and key technological advancements that hav
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Case Studies and Application-Driven Systems,ples demonstrate how neuromorphic technologies tackle complex challenges in smart infrastructure, enhancing system resilience, efficiency, and adaptability. From optimizing smart grids and traffic systems to advancing structural health monitoring and flood management, these cases illustrate the prac
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Implementation Strategies,planning, deployment, scaling, and ongoing management. The chapter is structured to guide practitioners through the critical phases of implementation, from the initial conceptualization, which involves needs assessment and feasibility studies, to the deployment strategies that emphasize pilot testin
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發(fā)表于 2025-3-23 06:58:23 | 只看該作者
Risk Management and Contingency Planning, civil engineering projects. Focused on ensuring the resilience and reliability of smart infrastructure, this chapter outlines systematic methods for risk assessment, identification, mitigation, and contingency planning. Each section provides detailed guidelines for preparing infrastructure projects
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