Artificial intelligence and industrial applications : artificial intelligence techniques for cyber-physical, digital twin systems and engineering applications / Tawfik Masrour, Ibtissam El Hassani, Anass Cherrafi, editors.
2021
TA347.A78
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Title
Artificial intelligence and industrial applications : artificial intelligence techniques for cyber-physical, digital twin systems and engineering applications / Tawfik Masrour, Ibtissam El Hassani, Anass Cherrafi, editors.
Meeting Name
A2IA (Conference) (1st : 2020 : Meknes, Morocco)
ISBN
9783030539702 (electronic bk.)
3030539709 (electronic bk.)
9783030539719 (print)
3030539717
3030539695
9783030539696
3030539709 (electronic bk.)
9783030539719 (print)
3030539717
3030539695
9783030539696
Publication Details
Cham : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-53970-2 doi
10.1007/978-3-030-53
10.1007/978-3-030-53
Call Number
TA347.A78
Dewey Decimal Classification
620.00285/63
Summary
This book gathers selected papers from Artificial Intelligence and Industrial Applications (A2IA2020), 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.
Note
Includes author index.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Series
Lecture notes in networks and systems ; v. 144.
Available in Other Form
Artificial intelligence and industrial applications.
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Table of Contents
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.
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.