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Artificial Intelligence Applications for Sustainable Construction

E-BookEPUBDRM AdobeE-Book
450 Seiten
Englisch
Elsevier Science & Techn.erschienen am13.02.2024
Verfügbare Formate
TaschenbuchKartoniert, Paperback
EUR223,50
E-BookEPUBDRM AdobeE-Book
EUR213,99

Produkt

Details
Weitere ISBN/GTIN9780443131929
ProduktartE-Book
EinbandartE-Book
FormatEPUB
Format HinweisDRM Adobe
Erscheinungsjahr2024
Erscheinungsdatum13.02.2024
Seiten450 Seiten
SpracheEnglisch
Artikel-Nr.13857971
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
1. Artificial Intelligence in Civil Engineering: An Immersive View
2. Application of Artificial Intelligence in Sustainable Construction: Secret Eye towards Latest Civil Engineering Techniques
3. Machine Learning (ML) in Sustainable Composite Building Materials to Reduce Carbon Emission
4. Application of Machine Learning Models for the Compressive Strength Prediction of Concrete with Glass Waste Powder
5. AI-based Structural Health Monitoring Systems
6. Application of Ensemble Learning in Rock Mass Rating for Tunnel Construction
7. AI-based Framework for Construction 4.0: A Case Study for Structural Health Monitoring
8. Practical Prediction of Ultimate Axial Strain and Peak Axial Stress of FRP-Confined Concrete using Hybrid ANFIS-PSO Models
9. Prediction of Long-Term Dynamic Responses of a Heritage Masonry Building under Thermal Effects by Automated Kernel-Based Regression Modeling
10. A Comprehensive Review on Application of Artificial Intelligence in Construction Management using Science Mapping Approach
11. Textile Reinforced Mortar-Masonry Bond Strength Calibration Using Machine Learning Methods
12. Forecasting the compressive strength of FRCM-strengthened RC columns with Machine learning algorithms
13. Assessment of Shear Capacity of FRP-Reinforced Concrete Beam Without Stirrup: Machine Learning Approach
14. Estimating the Load Carrying Capacity of Reinforced Concrete Beam-Column Joints via Soft Computing Techniques
15. Global Seismic Damage Assessment of RC Framed Buildings using Machine Learning Techniquesmehr