Description

Book Synopsis

The book provides knowledge in the Building Information Model (BIM)-enabled cognitive computing methods for smart built environment involving cognitive network capabilities for smart buildings, integrating Augmented Reality/Mixed Reality in cognitive building concepts, cognitive Internet of Things (CIoT) for smart cities, Artificial Intelligence applications for cognitive cities, and cognitive smart cities using big data and machine learning. It focuses on the potential, requirements and implementation of CIoT paradigm to buildings, Artificial Intelligence techniques, reasoning, and Augmented Reality/Mixed Reality in cognitive building concepts, the concept of cognitive smart cities in its complexity, heterogeneity, and scope, and the challenge of utilizing the big data generated by smart cities from a machine learning perspective. The book comprises BIM-based and data-analytic research on cognitive IoT for smart buildings and cognitive cities using big data and machine learning as

Trade Review

"The book provides knowledge in the Building Information Model (BIM)-enabled cognitive computing methods for smart built environment involving cognitive network capabilities for smart buildings, integrating Augmented Reality/Mixed Reality in cognitive building concepts, cognitive Internet of Things (CIoT) for smart cities, Artificial Intelligence applications for cognitive cities, and cognitive smart cities using big data and machine learning. It reviews ongoing development of BIM-based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to cognitive systems that will advance different aspects of future cognitive cities."

- James A. Cox, Editor-in-Chief, Midwest Book Review



Table of Contents

Overview of Cyber-Physical Systems and Enabling Technologies in Cognitive Computing for Smart Built Environment. Towards a Digital Twin-based Smart Built Environment. BIM-IoT Integrated Architectures as the Backbone of Cognitive Buildings: Current State and Future Directions. Digital Twin Procreation Through Convergence of Building Information Model (BIM) and Internet of Things (IoT). The Integration of Building Information Modeling (BIM) and Immersive Technologies (ImTech) for the Digital Twin Implementation in the AECO/FM industry. Smart Maintenance Services for Buildings with Digital Twins and Augmented Reality. Blockchain: Technologies for Facilitating Cyber-Physical Security in Smart Built Environment. eLUX: The Case Study of the Cognitive Building in the Smart Campus at the University of Brescia. Index.

BIMenabled Cognitive Computing for Smart Built

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£128.25

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RRP £135.00 – you save £6.75 (5%)

Order before 4pm today for delivery by Thu 18 Dec 2025.

A Hardback by Ibrahim Yitmen

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    View other formats and editions of BIMenabled Cognitive Computing for Smart Built by Ibrahim Yitmen

    Publisher: Taylor & Francis Ltd
    Publication Date: 18/06/2021
    ISBN13: 9780367861834, 978-0367861834
    ISBN10: 0367861836

    Description

    Book Synopsis

    The book provides knowledge in the Building Information Model (BIM)-enabled cognitive computing methods for smart built environment involving cognitive network capabilities for smart buildings, integrating Augmented Reality/Mixed Reality in cognitive building concepts, cognitive Internet of Things (CIoT) for smart cities, Artificial Intelligence applications for cognitive cities, and cognitive smart cities using big data and machine learning. It focuses on the potential, requirements and implementation of CIoT paradigm to buildings, Artificial Intelligence techniques, reasoning, and Augmented Reality/Mixed Reality in cognitive building concepts, the concept of cognitive smart cities in its complexity, heterogeneity, and scope, and the challenge of utilizing the big data generated by smart cities from a machine learning perspective. The book comprises BIM-based and data-analytic research on cognitive IoT for smart buildings and cognitive cities using big data and machine learning as

    Trade Review

    "The book provides knowledge in the Building Information Model (BIM)-enabled cognitive computing methods for smart built environment involving cognitive network capabilities for smart buildings, integrating Augmented Reality/Mixed Reality in cognitive building concepts, cognitive Internet of Things (CIoT) for smart cities, Artificial Intelligence applications for cognitive cities, and cognitive smart cities using big data and machine learning. It reviews ongoing development of BIM-based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to cognitive systems that will advance different aspects of future cognitive cities."

    - James A. Cox, Editor-in-Chief, Midwest Book Review



    Table of Contents

    Overview of Cyber-Physical Systems and Enabling Technologies in Cognitive Computing for Smart Built Environment. Towards a Digital Twin-based Smart Built Environment. BIM-IoT Integrated Architectures as the Backbone of Cognitive Buildings: Current State and Future Directions. Digital Twin Procreation Through Convergence of Building Information Model (BIM) and Internet of Things (IoT). The Integration of Building Information Modeling (BIM) and Immersive Technologies (ImTech) for the Digital Twin Implementation in the AECO/FM industry. Smart Maintenance Services for Buildings with Digital Twins and Augmented Reality. Blockchain: Technologies for Facilitating Cyber-Physical Security in Smart Built Environment. eLUX: The Case Study of the Cognitive Building in the Smart Campus at the University of Brescia. Index.

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