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Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
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Condition: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.
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paperback. Condition: Very Good. Advances in Data and Information Sciences: Proceedings of ICDIS-2017, Volume 1: 38 (Lecture Notes in Networks and Systems, 38) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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paperback. Condition: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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WIND ENERGY FORECASTING: BY USING ARTIFICIAL NEURAL NETWORK - GENETIC ALGORITHM
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639112970 ISBN 13: 9783639112979
Language: English
Condition: New.
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Smart Technologies for Energy, Environment and Sustainable Development. Select Proceedings of ICSTEESD 2018.
Published by Singapore, Springer., 2019
ISBN 10: 9811361479 ISBN 13: 9789811361470
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
XVI, 801 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Lecture Notes on Multidisciplinary Industrial Engineering. Sprache: Englisch.
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WIND ENERGY FORECASTING: BY USING ARTIFICIAL NEURAL NETWORK - GENETIC ALGORITHM
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639112970 ISBN 13: 9783639112979
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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WIND ENERGY FORECASTING: BY USING ARTIFICIAL NEURAL NETWORK - GENETIC ALGORITHM
Published by VDM Verlag Dr. M�ller 2008-12-30, 2008
ISBN 10: 3639112970 ISBN 13: 9783639112979
Language: English
Paperback. Condition: New.
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Condition: New. pages cm First edition Includes bibliographical references and index.
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Renewable Energy Optimization, Planning and Control: Proceedings of ICRTE 2022
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Advances in Data and Information Sciences: Proceedings of ICDIS 2022
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: As New. Unread book in perfect condition.
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Condition: New. pages cm.
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RENEWABLE ENERGY BASED HYDROGEN REFUELLING STATION: For.
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639218086 ISBN 13: 9783639218084
Language: English
Condition: New.
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Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications (Smart Engineering Systems: Design and Applications)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Artificial Intelligence, Internet of Things Iot and Smart Materials for Energy Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032115033 ISBN 13: 9781032115030
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 585.
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Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032115033 ISBN 13: 9781032115030
Language: English
Paperback. Condition: new. Paperback. This reference text offers the reader a comprehensive insight into recent research breakthroughs in blockchain, the Internet of Things (IoT), artificial intelligence and material structure and hybrid technologies in their integrated platform, while also emphasizing their sustainability aspects.The text begins by discussing recent advances in energy materials and energy conversion materials using machine learning, as well as recent advances in optoelectronic materials for solar energy applications. It covers important topics including advancements in electrolyte materials for solid oxide fuel cells, advancements in composite materials for Li-ion batteries, progression of materials for supercapacitor applications, and materials progression for thermochemical storage of low-temperature solar thermal energy systems.This book:Discusses advances in blockchain, the Internet of Things, artificial intelligence, material structure and hybrid technologiesCovers intelligent techniques in materials progression for sensor development and energy material characterization using signal processingExamines the integration of phase change materials in construction for thermal energy regulation in new buildingsExplores the current happenings in technology in conjunction with basic laws and mathematical modelsConnecting advances in engineering materials with the use of smart techniques including artificial intelligence, machine learning and Internet of Things (IoT) in a single volume, this text will be especially useful for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, mechanical engineering and computer science. This text introduces multifunctional and multi-disciplinary technological aspects, principle, and industry automation in a single volume. It will serve as a useful text for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, and mechanical engineering Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Artificial Intelligence, Internet of Things Iot and Smart Materials for Energy Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New.
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Paperback. Condition: Brand New. 316 pages. 9.18x6.12x9.21 inches. In Stock.
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Condition: New.
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RENEWABLE ENERGY BASED HYDROGEN REFUELLING STATION | For Fuel Cell Vehicle
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639218086 ISBN 13: 9783639218084
Language: English
Taschenbuch. Condition: Neu. RENEWABLE ENERGY BASED HYDROGEN REFUELLING STATION | For Fuel Cell Vehicle | Mohan Kolhe | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639218084 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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WIND ENERGY FORECASTING | BY USING ARTIFICIAL NEURAL NETWORK - GENETIC ALGORITHM
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639112970 ISBN 13: 9783639112979
Language: English
Taschenbuch. Condition: Neu. WIND ENERGY FORECASTING | BY USING ARTIFICIAL NEURAL NETWORK - GENETIC ALGORITHM | Mohan Kolhe | Taschenbuch | Kartoniert / Broschiert | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639112979 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032115033 ISBN 13: 9781032115030
Language: English
Paperback. Condition: new. Paperback. This reference text offers the reader a comprehensive insight into recent research breakthroughs in blockchain, the Internet of Things (IoT), artificial intelligence and material structure and hybrid technologies in their integrated platform, while also emphasizing their sustainability aspects.The text begins by discussing recent advances in energy materials and energy conversion materials using machine learning, as well as recent advances in optoelectronic materials for solar energy applications. It covers important topics including advancements in electrolyte materials for solid oxide fuel cells, advancements in composite materials for Li-ion batteries, progression of materials for supercapacitor applications, and materials progression for thermochemical storage of low-temperature solar thermal energy systems.This book:Discusses advances in blockchain, the Internet of Things, artificial intelligence, material structure and hybrid technologiesCovers intelligent techniques in materials progression for sensor development and energy material characterization using signal processingExamines the integration of phase change materials in construction for thermal energy regulation in new buildingsExplores the current happenings in technology in conjunction with basic laws and mathematical modelsConnecting advances in engineering materials with the use of smart techniques including artificial intelligence, machine learning and Internet of Things (IoT) in a single volume, this text will be especially useful for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, mechanical engineering and computer science. This text introduces multifunctional and multi-disciplinary technological aspects, principle, and industry automation in a single volume. It will serve as a useful text for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, and mechanical engineering Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New.
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