Revolutionizing Civil Engineering with Neuromorphic Computing [electronic resource] : Pathways to Smart and Sustainable Infrastructure / by Ali Akbar Firoozi, Ali Asghar Firoozi.

Por: Firoozi, Ali Akbar [author.]Colaborador(es): Firoozi, Ali Asghar [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Digital Innovations in Architecture, Engineering and ConstructionEditor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: IX, 100 p. 7 illus., 6 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031710971Tema(s): Engineering -- Data processing | Building information modeling | Facility management | Artificial intelligence | Data Engineering | Building Information Modeling | Facility Management | Intelligence InfrastructureFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 620.00285 Clasificación LoC:TA345-345.5Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos 1 No para préstamo

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.

UABC ; Perpetuidad

Con tecnología Koha