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Advances in Information Technology in Civil and Building Engineering: Proceedings of ICCCBE 2024, Volume 2, Simulation and Automation [Hardback]

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  • Formāts: Hardback, 671 pages, height x width: 235x155 mm, 218 Illustrations, color; 31 Illustrations, black and white; X, 671 p. 249 illus., 218 illus. in color., 1 Hardback
  • Sērija : Lecture Notes in Civil Engineering 629
  • Izdošanas datums: 29-Mar-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031873637
  • ISBN-13: 9783031873638
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  • Hardback
  • Cena: 225,41 €*
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Advances in Information Technology in Civil and Building Engineering: Proceedings of ICCCBE 2024, Volume 2, Simulation and AutomationPalielināt
  • Formāts: Hardback, 671 pages, height x width: 235x155 mm, 218 Illustrations, color; 31 Illustrations, black and white; X, 671 p. 249 illus., 218 illus. in color., 1 Hardback
  • Sērija : Lecture Notes in Civil Engineering 629
  • Izdošanas datums: 29-Mar-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031873637
  • ISBN-13: 9783031873638
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031873638.html
Keywords:

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.

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.