Buch, Englisch, 671 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1178 g
Proceedings of ICCCBE 2024, Volume 2, Simulation and Automation
Buch, Englisch, 671 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1178 g
Reihe: Lecture Notes in Civil Engineering
ISBN: 978-3-031-87363-8
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Immobilien & Anlagen
- Technische Wissenschaften Bauingenieurwesen Baukonstruktion, Baufachmaterialien
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
Weitere Infos & Material
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.
