Aller au contenu
VuFind
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
    • 日本語
    • Nederlands
    • Português
    • Português (Brasil)
    • 中文(简体)
    • 中文(繁體)
    • Türkçe
    • עברית
    • Gaeilge
    • Cymraeg
    • Ελληνικά
    • Català
    • Euskara
    • Русский
    • Čeština
    • Suomi
    • Svenska
    • polski
    • Dansk
    • slovenščina
    • اللغة العربية
    • বাংলা
    • Galego
    • Tiếng Việt
    • Hrvatski
    • हिंदी
    • Հայերէն
    • Українська
Recherche avancée
  • Neuromorphic Computing
  • Citer
  • Envoyer par SMS
  • Envoyer par courriel
  • Imprimer
  • Exporter les notices
    • Exporter vers RefWorks
    • Exporter vers EndNoteWeb
    • Exporter vers EndNote
  • Permalien
Neuromorphic Computing Transforming Disaster Management and Resilience in Civil Engineering /

Neuromorphic Computing Transforming Disaster Management and Resilience in Civil Engineering /

Détails bibliographiques
Auteurs principaux: Firoozi, Ali Akbar (Auteur), Firoozi, Ali Asghar (Auteur)
Collectivité auteur: SpringerLink (Online service)
Résumé:X, 90 p. 7 illus., 6 illus. in color.
text
Langue:anglais
Publié: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Édition:1st ed. 2024.
Collection:SpringerBriefs in Applied Sciences and Technology,
Sujets:
Engineering > Data processing.
Building information modeling.
Facility management.
Artificial intelligence.
Fire prevention.
Buildings > Protection.
Data Engineering.
Building Information Modeling.
Facility Management.
Intelligence Infrastructure.
Fire Science, Hazard Control, Building Safety.
Accès en ligne:https://doi.org/10.1007/978-3-031-65549-4
Format: Électronique eBook
  • Exemplaires
  • Description
  • Table des matières
  • Documents similaires
  • Affichage MARC

Internet

https://doi.org/10.1007/978-3-031-65549-4

Documents similaires

  • Revolutionizing Civil Engineering with Neuromorphic Computing Pathways to Smart and Sustainable Infrastructure /
    par: Firoozi, Ali Akbar, et autres
    Publié: (2024)
  • Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction
    par: Re Cecconi, Fulvio, et autres
    Publié: (2025)
  • Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation Theory and Practice of Hazard Mitigation /
    Publié: (2021)
  • BIM in Real Estate Operations Application, Implementation, Digitalization Trends and Case Studies /
    Publié: (2023)
  • Soft Target Protection Theoretical Basis and Practical Measures /
    Publié: (2020)