| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Artificial intelligence and machine learning techniques for civil engineering/ Vagelis Plevris, Afaq Ahmad, and Nikos Lagaros, editors. |
| other author: |
Plevris, Vagelis, |
| Published: |
Hershey, Pennsylvania :IGI Global, : 2023., |
| Description: |
1 online resource (385 p.) |
| [NT 15003449]: |
Chapter 1. Artificial intelligence-assisted building information modelling -- Chapter 2. Deep learning-based damage inspection for concrete structures -- Chapter 3. Machine learning applications for vibration-based structural healthmonitoring -- Chapter 4. Use of AI and ML algorithms in developing closed-form formulae for structural engineering design -- Chapter 5. A predictive regression model for the shear strength of RC knee joint subjected to cyclic load -- Chapter 6. Predicting the fundamental period of light-frame wooden buildings by employing bat algorithm-based artificial neural network -- Chapter 7. Shear capacity of RC elements with transverse reinforcement through a variable-angle truss modelwith machine-learning-calibrated coefficients -- Chapter 8. Groundwater modelling of the saq aquifer using artificial intelligence and hydraulic simulations -- Chapter 9. Reliability analysis of RC code for predicting load-carrying capacityof RCC walls through ANN -- Chapter 10. The value proposition of machine learning in construction management: exploring the trends in construction 4.0 and beyond -- Chapter 11. Explainable safety risk management in construction with unsupervised learning -- Chapter 12. Enhanced stochastic paint optimizer for nonlinear Design of fuzzy logic controllers in steel building structures for the near-fault earthquakes. |
| Subject: |
Civil engineering - Data processing. - |
| Online resource: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-5643-9 |
| ISBN: |
9781668456446 (electronic bk.) |