Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering /

Bibliographic Details
Corporate Author:	EBSCOhost
Other Authors:	Bekdas, Gebrail, 1980- (Editor), Nigdeli, Sinan Melih, 1982- (Editor), Yucel, Melda, 1995- (Editor)
Format:	eBook
Language:	English
Published:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2020]
Series:	Advances in computational intelligence and robotics (ACIR) book series.
Subjects:	Artificial intelligence. Civil engineering > Data processing. Machine learning. Mechanical engineering > Data processing. Industrial engineering > Data processing. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter 1. Review and applications of machine learning and artificial intelligence in engineering: overview for machine learning and AI
Chapter 2. Artificial neural networks (anns) and solution of civil engineering problems: anns and prediction applications
Chapter 3. A novel prediction perspective to the bending over sheave fatigue lifetime of steel wire ropes by means of artificial neural networks
Chapter 4. Introduction and application aspects of machine learning for model reference adaptive control with polynomial neurons
Chapter 5. Optimum design of carbon fiber-reinforced polymer (CFRP) beams for shear capacity via machine learning methods: optimum prediction methods on advance ensemble algorithms bagging combinations
Chapter 6. A scientometric analysis and a review on current literature of computer vision applications
Chapter 7. High performance concrete (HPC) compressive strength prediction with advanced machine learning methods: combinations of machine learning algorithms with bagging, rotation forest, and additive regression
Chapter 8. Artificial intelligence towards water conservation: approaches, challenges, and opportunities
Chapter 9. Analysis of ground water quality using statistical techniques: a case study of Madurai City
Chapter 10. Probe people and vehicle-based data sources application in smart transportation
Chapter 11. Application of machine learning methods for passenger demand prediction in transfer stations of Istanbul's public transportation system
Chapter 12. Metaheuristics approaches to solve the employee bus routing problem with clustering-based bus stop selection
Chapter 13. An assessment of imbalanced control chart pattern recognition by artificial neural networks
Chapter 14. An exploration of machine learning methods for biometric identification based on keystroke dynamics.