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Artificial intelligence and industri...

A2IA (Conference) (2020 :)

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Artificial intelligence and industrial applications = artificial intelligence techniques for cyber-physical, digital twin systems and engineering applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and industrial applications/ edited by Tawfik Masrour, Ibtissam El Hassani, Anass Cherrafi.
其他題名:	artificial intelligence techniques for cyber-physical, digital twin systems and engineering applications /
其他作者:	Masrour, Tawfik.
團體作者:	A2IA (Conference)
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xviii, 324 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Industrial applications -
電子資源:	https://doi.org/10.1007/978-3-030-53970-2
ISBN:	9783030539702

Artificial intelligence and industrial applications = artificial intelligence techniques for cyber-physical, digital twin systems and engineering applications /
Artificial intelligence and industrial applicationsartificial intelligence techniques for cyber-physical, digital twin systems and engineering applications /[electronic resource] :edited by Tawfik Masrour, Ibtissam El Hassani, Anass Cherrafi. - Cham :Springer International Publishing :2021. - xviii, 324 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v.1442367-3370 ;. - Lecture notes in networks and systems ;v.144..

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.

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.

ISBN: 9783030539702

Standard No.: 10.1007/978-3-030-53970-2doiSubjects--Topical Terms:

704827
Artificial intelligence
--Industrial applications

LC Class. No.: TA347.A78 / A2 2020

Dewey Class. No.: 620.0028563

Artificial intelligence and industrial applications = artificial intelligence techniques for cyber-physical, digital twin systems and engineering applications /
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