Artificial Intelligence in Mechatronics and Civil Engineering: Bridging the Gap: Emerging Trends in Mechatronics
Editat de Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizien Limba Engleză Hardback – 16 feb 2023
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Specificații
ISBN-13: 9789811987892
ISBN-10: 9811987890
Pagini: 247
Ilustrații: XII, 247 p. 112 illus., 89 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.59 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Emerging Trends in Mechatronics
Locul publicării:Singapore, Singapore
ISBN-10: 9811987890
Pagini: 247
Ilustrații: XII, 247 p. 112 illus., 89 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.59 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Emerging Trends in Mechatronics
Locul publicării:Singapore, Singapore
Cuprins
1. Optical resistance switch for optical sensing.- 2. Empirical, statistical, and machine learning techniques for predicting surface settlement induced by Tunnelling.- 3. A review on the feasibility of Artificial Intelligence in Mechatronics.- 4. Feasibility of artificial intelligence techniques in rock characterization.- 5. A review on the application of soft computing techniques in Foundation Engineering
Notă biografică
Dr. Ehsan Momeni currently works as Assistant Professor in the Faculty of Engineering, Lorestan University, Iran. He received his postdoc from University of Tehran, Iran, and his Ph.D. degree, in Civil-Geotechnics, from Universiti Teknologi Malaysia, Malaysia. His areas of research are foundation engineering, reliability analysis, rock mechanics, and applied artificial intelligence.
Dr. Danial Jahed Armaghani is currently working as Research Associate at the School of Civil and Environmental Engineering, University of Technology Sydney (UTS), Australia. He received his postdoc from Amirkabir University of Technology, Tehran, Iran, and his Ph.D. degree, in Civil Geotechnics, from Universiti Teknologi Malaysia, Malaysia. His areas of research are tunneling, rock mechanics, piling technology, blasting environmental issues, applying artificial intelligence, and optimization algorithms in different areas of civil engineering.
Dr. Aydin Azizi holds a Ph.D. degreein Mechanical Engineering-Mechatronics, an M.Sc. in Mechatronics, a B.Sc. in Mechanical Engineering-Heat & Fluids and certified as Official Instructor for the Siemens Mechatronic Certification Program (SMSCP). He currently serves as Senior Lecturer at the Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control, and optimize complex systems. Dr. Azizi’s areas of expertise include control & automation, artificial intelligence, and simulation techniques. Dr. Azizi is Recipient of the National Research Award of Oman for his AI-focused research, DELL EMC’s “Envision the Future” competition award in IoT for “Automated Irrigation System”, and “Exceptional Talent” recognition by the British Royal Academy of Engineering.
Dr. Danial Jahed Armaghani is currently working as Research Associate at the School of Civil and Environmental Engineering, University of Technology Sydney (UTS), Australia. He received his postdoc from Amirkabir University of Technology, Tehran, Iran, and his Ph.D. degree, in Civil Geotechnics, from Universiti Teknologi Malaysia, Malaysia. His areas of research are tunneling, rock mechanics, piling technology, blasting environmental issues, applying artificial intelligence, and optimization algorithms in different areas of civil engineering.
Dr. Aydin Azizi holds a Ph.D. degreein Mechanical Engineering-Mechatronics, an M.Sc. in Mechatronics, a B.Sc. in Mechanical Engineering-Heat & Fluids and certified as Official Instructor for the Siemens Mechatronic Certification Program (SMSCP). He currently serves as Senior Lecturer at the Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control, and optimize complex systems. Dr. Azizi’s areas of expertise include control & automation, artificial intelligence, and simulation techniques. Dr. Azizi is Recipient of the National Research Award of Oman for his AI-focused research, DELL EMC’s “Envision the Future” competition award in IoT for “Automated Irrigation System”, and “Exceptional Talent” recognition by the British Royal Academy of Engineering.
Textul de pe ultima copertă
Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.
Caracteristici
Highlights the application of artificial intelligence, machine learning, and simulation techniques in engineering Presents different intelligent techniques focusing on common areas between mechatronics and civil engineering Discusses the implementation process to design optimum intelligent models