Published by Machinery Industry Press, 2015
ISBN 10: 7111512073 ISBN 13: 9787111512073
Language: Chinese
Seller: Reuseabook, Gloucester, GLOS, United Kingdom
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Add to basketPaperback. Condition: Used; Like New. Dispatched, from the UK, within 48 hours of ordering. This book is in mint condition. Both the pages and the cover are completely intact, without zero sign of previous usage.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202686006 ISBN 13: 9786202686006
Language: English
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Seller: California Books, Miami, FL, U.S.A.
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by China Water Resources and Hydropower Press, 2023
ISBN 10: 7522615429 ISBN 13: 9787522615424
Language: English
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2023-06 Pages: 236 Publisher: China Water Resources and Hydropower Press This book introduces the development of artificial intelligence application systems in a project-oriented manner. Taking Huawei Ascend as the platform. it explains the whole process of using AI technology to develop various functional modules of the smart park system through the Smart Park System project. This book has a total of 5 projects. Project 1 gives an overall introduction to the establishmen.
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
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Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659829684 ISBN 13: 9783659829680
Language: English
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Published by Electronic Industry Press, 2024
ISBN 10: 7121480018 ISBN 13: 9787121480010
Language: English
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2024-06 Pages:704 Publisher:Publishing House of Electronics Industry.
Published by Machinery Industry Press, 2015
ISBN 10: 7111512073 ISBN 13: 9787111512073
Language: Chinese
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2015-11-01 Pages: 413 Publisher: Machinery Industry Press Artificial Intelligence in Optimization of Power System Application is the author in the power system optimization. particularly those based on artificial intelligence to solve the problem of power system optimization study summarize the results of many years. The book begins with a brief description of the importance of power system optimization and artificial intelligence in power system applicat.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202686006 ISBN 13: 9786202686006
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202686006 ISBN 13: 9786202686006
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202686006 ISBN 13: 9786202686006
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The new paradigm, multi-agent systems (MAS), has become a powerful solution for distrib-uted control. Multi-agent systems can be used to deal with problems that are difficult or im-possible to solve for an individual agent or a monolithic system. Highlighting the powers of multi-agent systems in solving complex problems by dividing the necessary knowledge into sub-units with which an independent intelligent agent is associated and by coordinating the activity of agents.In this book, an advanced literature review is conducted on the agent concept, the architecture of multi-agent systems, and multi-agent platforms. And an application of multi-agent systems is presented as part of the design of an IT Governance, IT Risk and IT Compliance (IT GRC) repository based on all IT best practices to effectively meet the IT needs defined by stakeholders of an organization.Many organizations have deployed and integrated IT GRC practices. However, the problem that arises is how to develop a global intelligent framework adapted to each organization to meet their strategic needs.
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659829684 ISBN 13: 9783659829680
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 55.31
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - I am inspired by the fact that modern control engineering deals with improving manufacturing processes, the efficiency of energy use, advanced automobile control, chemical processes, traffic control systems and robotic systems, among others. This book provides the first systematic application of Artificial Intelligence using Soft Computing Approaches. This book also aims at demystifying the concept of soft computing application by using step by step methods. This book would be useful for the researchers who are interested in carrying out their work on Soft Computing Methods.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 65.01
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The ultimate goal of the current digital society extreme automation is to enable artificial intelligence (AI) autonomous Unmanned Aerial Vehicles (UAVs) modelled with Machine Learning to respond expeditiously in the security surveillance in several missions beyond visually line of sight (BVLOS) which are the fundamental aspect of modern warfare controlled through the cloud infrastructure in Internet of Thing (IoTs) computing. When contrasted with other conventional weapon systems, the military defence systems furnished with Artificial Intelligence and Machine Learning are proficient in managing extensive volumes of data set more powerfully. Moreover, Artificial Intelligence enhances self-learning for all autonomous UAVs self-awareness, self-control, self-actuation, self-protection and self-regulation for defensive missions, owing to its intrinsic computing and decision-making competencies. The defence application of Artificial Intelligence is almost in every military intelligence formation with improved military research and development funding to advance new and progressive applications for AI driven systems in military combatant logistics for process modernism.