Artificial Intelligence and Industrial Applications: Artificial Intelligence Techniques for Cyber-Physical, Digital Twin Systems and Engineering Applications: Lecture Notes in Networks and Systems, cartea 144
Editat de Tawfik Masrour, Ibtissam El Hassani, Anass Cherrafien Limba Engleză Paperback – 19 iul 2020
The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education.
The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 1582.67 lei 6-8 săpt. | |
| Springer International Publishing – 19 iul 2020 | 1582.67 lei 6-8 săpt. | |
| Springer International Publishing – 2 sep 2020 | 1588.65 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030539696
ISBN-10: 3030539695
Ilustrații: XVIII, 324 p. 231 illus., 160 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.48 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Networks and Systems
Locul publicării:Cham, Switzerland
ISBN-10: 3030539695
Ilustrații: XVIII, 324 p. 231 illus., 160 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.48 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Networks and Systems
Locul publicării:Cham, Switzerland
Cuprins
A Study of Energy Reduction Strategies in Renewable Hybrid Grid.- Classification and Watermarking of Brain Tumor using Artificial and Convolutional Neural Networks.- A Proposal for a Deep Learning Model to Enhance Student Guidance and Reduce Dropout.- EduBot: An Unsupervised Domain-Specific Chatbot for Educational Institutions.- SQL Generation from Natural Language using Supervised Learning and Recurrent Neural Networks.- Toward Intelligent Solution to Identify Learner Attitude from Source Code.
Textul de pe ultima copertă
This book gathers selected papers from Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by ENSAM-Meknes at Moulay Ismail University, Morocco.
The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education.
The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.
The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education.
The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.
Caracteristici
Presents the latest research on artificial intelligence techniques for cyber-physical, digital twin and engineering applications Includes selected papers from the conference Artificial Intelligence & Industrial Applications (A2IA2020), held on March 19-20, 2020 in Meknes, Morocco Written by respected experts in the field
Notă biografică
Dr. Tawfik Masrour is a Professor of Applied Mathematics and Artificial Intelligence at ENSAM-Meknes, Moulay Ismail University UMI, and member of the Artificial Intelligence for Engineering Sciences (AIES) Research Team and Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S). He graduated from Mohammed V University – Rabat with an M.Sc. degree in Applied Mathematics and Numerical Analysis, and from Jacques-Louis Lions Laboratory, Pierre and Marie Curie University, Paris, with an M.A.S. (DEA) in Applied Mathematics, Numerical Analysis and Computer Science. He obtained his Ph.D. in Mathematics and Informatics from the École des Ponts ParisTech (ENPC), Paris, France. His research interests include control theory and artificial intelligence.
Dr. Anass Cherrafi is an Assistant Professor at the Department of Industrial Engineering, ENSAM-Meknes, Moulay Ismail University UMI, Morocco. Holding a Ph.D. in Industrial Engineering, he has seven years of industry and teaching experience. He has published a number of articles in leading international journals and conference proceedings, and has been a Guest Editor for special issues of various international journals. His research interests include Industry 4.0, green manufacturing, Lean Six Sigma, integrated management systems and supply chain management.
Dr. Ibtissam El Hassani is a Professor of Industrial and Logistic Engineering at ENSAM-Meknes, Moulay Ismail University UMI, Morocco and Head of the Artificial Intelligence for Engineering Sciences (AIES) Research Team. She graduated as an Industrial Engineer before completing her Ph.D. in Computer Engineering & Systems Supervision at the Center for Doctoral Studies, Moulay Ismail University. Her research interests include applications of artificial intelligence in industrial engineering, especially in lean manufacturing, Six Sigma and continuous improvement, production systems, quality managementsystems, health and security at work, supply chain management and industrial risk management.