Blockchain of Things and Deep Learning Applications in Construction Digital Construction Transformation /
This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for bu...
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| Main Authors: | , , , , |
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| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Edición: | 1st ed. 2023. |
| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-3-031-06829-4 |
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Table of Contents:
- Blockchain applications in Construction: A comprehensive review
- Scientometric analysis of blockchain uses in construction
- Internet of Things (IoT) applications in Construction: A comprehensive review
- Blockchain of Things (BCoT): Beyond the concept
- Integrated Project Delivery with Blockchain: Sharing risk/reward system
- The feasibility of blockchain for Integrated Project Delivery (IPD): An exploratory Study
- A decentralised financial system-based blockchain: Towards digitalised construction
- A comprehensive solution for financial challenges in the construction industry: Blockchain-based solution
- Smart Common Data Environment (SCDE) based blockchain: An automated collaboration platform
- Deep learning applications in the construction industry: A critical analysis
- Developing a new deep learning CNN model to detect and classify highway cracks
- An optimized CNN model to detect irregular pavement distresses: Face recognition-based solution
- Integrating Artificial intelligence into immersive and drones technologies: A conceptual framework and practical use cases.