Artificial intelligence in mechatronics and civil engineering
By Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizi (Editor)

Artificial intelligence in mechatronics and civil engineering:

Artificial intelligence in mechatronics and civil engineering aimed to cover the application of artificial intelligence and simulation techniques in Engineering. The book highlights the successful implementation of different soft computing techniques in various areas of engineering more especially in Civil, Electronic, Mechatronic, and Mining Engineering. This book comprises nine chapters which, in overall, shed lights on the importance of simulation techniques in solving complex engineering problems.
Chapter “Optical Resistance Switch for Optical Sensing” deals with optical resistance switch for optical sensing.

Chapter “Empirical, Statistical, and Machine Learning Techniques for Predicting Surface Settlement Induced by Tunnelling” deals with the application of simulation techniques in assessing the tunnelling-induced settlement in urban areas.

Chapter “A Review on the Feasibility of Artificial Intelligence in Mechatronics” deals with a review on the application of artificial intelligence in mechatronic.

Chapter “Feasibility of Artificial Intelligence Techniques in Rock Characterization” deals with the feasibility of soft computing and simulation techniques in assessing the rock engineering properties.

Chapter “A Review on the Application of Soft Computing Techniques in Foundation Engineering” reviews the application of artificial intelligence methods in foundation engineering.

Chapter “Application of a Data Augmentation Technique on Blast-Induced Fly-Rock Distance Prediction” deals with the application of a data augmentation technique on blast-induced fly-rock distance prediction.

Chapter “Forecast of Modern Concrete Properties Using Machine Learning Methods” reviews machine learning methods that have been used in the previous researches to forecast concrete properties.