Overview

This book gathers the latest advances, innovations, and applications in the field of information technology in civil and building engineering, presented at the 20th International Conference on Computing in Civil and Building Engineering (ICCCBE), held in Montreal, Canada on August 25-28, 2024. It covers highly diverse topics such as BIM, construction information modeling, knowledge management, GIS, GPS, laser scanning, sensors, monitoring, VR/AR, computer-aided construction, product and process modeling, big data and IoT, cooperative design, mobile computing, simulation, structural health monitoring, computer-aided structural control and analysis, ICT in geotechnical engineering, computational mechanics, asset management, maintenance, urban planning, facility management, and smart cities. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the contributions highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.

Full Product Details

Author:   Adel Francis ,  Edmond Miresco ,  Silvio Melhado
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   629
ISBN:  

9783031873638

ISBN 10:   3031873637
Pages:   671
Publication Date:   29 March 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Transparency and Trust Evaluating XAI for Critical Infrastructure Systems A Comprehensive Analysis.-Quantum computing in civil engineering Potentials and Limitations.- A contribution to process oriented graph data management for structural data exchange.- Machine Learning and Internet of Things for Construction Air Pollution Monitoring and Prediction.- Exploring the potential of BIM models for deriving synthetic training data for Machine Learning applications.- Natural Language Communication with Sensor Data through a LLM integrated Protocol a Case Study.- Integrating Machine Learning for Cyber Risk Analysis in Construction 4 0.- Automated Hierarchical Object Clustering for Multi Image Documentation A Comprehensive Image Analysis Pipeline.

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