BIM-enabled Cognitive Computing for Smart Built Environment: Potential, Requirements, and Implementation

The book provides knowledge in 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.

Format: Hardback
Length: 232 pages
Publication date: 18 June 2021
Publisher: Taylor & Francis Ltd

The book delves into the realm of Building Information Model (BIM)-enabled cognitive computing methods, focusing on the intelligent design and management of smart built environments. It explores the integration of cognitive network capabilities into smart buildings, the application of Augmented Reality/Mixed Reality in cognitive building concepts, the utilization of Cognitive Internet of Things (CIoT) for smart cities, the deployment of Artificial Intelligence applications for cognitive cities, and the development of cognitive smart cities utilizing big data and machine learning.

The book emphasizes the potential, requirements, and implementation of the CIoT paradigm in buildings, Artificial Intelligence techniques, reasoning, and Augmented Reality/Mixed Reality in cognitive building concepts. It also delves into the complex concept of cognitive smart cities, encompassing their heterogeneity, scope, and challenges. Furthermore, it addresses the task of leveraging the vast amounts of data generated by smart cities from a machine learning perspective.

The book is composed of BIM-based and data-analytic research on cognitive IoT for smart buildings and cognitive cities, employing big data and machine learning as complex and dynamic systems. It presents applied theoretical contributions that enhance our understanding of these systems and the interplay between their physical and informational aspects. The book also reviews the ongoing development of BIM-based and data science technologies for the processing, analysis, management, modeling, and simulation of large and context data, with a particular focus on their applicability to cognitive systems.

Furthermore, the book analyzes the necessary material to inform relevant research communities about the state-of-the-art research and the latest developments in the field of cognitive smart cities development. It serves as a valuable reference for planners, designers, strategists, and ICT experts who are actively working towards the creation of intelligent and sustainable cities of the future.

Weight: 568g
Dimension: 160 x 241 x 22 (mm)
ISBN-13: 9780367861834