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Published by Institution of Engineering and Technology, 2023
ISBN 10: 183953589X ISBN 13: 9781839535895
Language: English
Seller: WeBuyBooks, Rossendale, LANCS, United Kingdom
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Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 183953589X ISBN 13: 9781839535895
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. Deep learning has started to be applied to solving many electromagnetic problems, including the development of fast modelling solvers, accurate imaging algorithms, efficient design tools for antennas, as well as tools for wireless links/channels characterization. The contents of this book represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate. With the development of deep learning techniques, improvement in learning capacity and generalization ability may allow machines to "learn" from properly collected data and "master" the physical laws in certain controlled boundary conditions. In the long run, a hybridization of fundamental physical principles with knowledge from training data could unleash numerous possibilities in electromagnetic theory and engineering that used to be impossible due to the limit of data information and ability of computation. Electromagnetic applications of deep learning covered in the book include electromagnetic forward modeling, free-space inverse scattering, non-destructive testing and evaluation, subsurface imaging, biomedical imaging, direction of arrival estimation, remote sensing, digital satellite communications, imaging and gesture recognition, metamaterials and metasurfaces design, as well as microwave circuit modeling. Applications of Deep Learning in Electromagnetics contains valuable information for researchers looking for new tools to solve Maxwell's equations, students of electromagnetic theory, and researchers in the field of deep learning with an interest in novel applications.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 183953589X ISBN 13: 9781839535895
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: New. Deep learning has started to be applied to solving many electromagnetic problems, including the development of fast modelling solvers, accurate imaging algorithms, efficient design tools for antennas, as well as tools for wireless links/channels characterization. The contents of this book represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate. With the development of deep learning techniques, improvement in learning capacity and generalization ability may allow machines to "learn" from properly collected data and "master" the physical laws in certain controlled boundary conditions. In the long run, a hybridization of fundamental physical principles with knowledge from training data could unleash numerous possibilities in electromagnetic theory and engineering that used to be impossible due to the limit of data information and ability of computation. Electromagnetic applications of deep learning covered in the book include electromagnetic forward modeling, free-space inverse scattering, non-destructive testing and evaluation, subsurface imaging, biomedical imaging, direction of arrival estimation, remote sensing, digital satellite communications, imaging and gesture recognition, metamaterials and metasurfaces design, as well as microwave circuit modeling. Applications of Deep Learning in Electromagnetics contains valuable information for researchers looking for new tools to solve Maxwell's equations, students of electromagnetic theory, and researchers in the field of deep learning with an interest in novel applications.
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Add to basketHardcover. Condition: Brand New. 400 pages. 9.21x6.14x1.26 inches. In Stock.
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Add to basketCondition: New. KlappentextThis book discusses recent advances in the application of deep learning techniques to electromagnetic theory and engineering. The contents represent pioneer applications of deep learning techniques to electromagnetic engine.
Published by Institution Of Engineering & Technology Jun 2023, 2023
ISBN 10: 183953589X ISBN 13: 9781839535895
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. Neuware - This book discusses recent advances in the application of deep learning techniques to electromagnetic theory and engineering. The contents represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate.
Published by Institution of Engineering and Technology, 2023
ISBN 10: 183953589X ISBN 13: 9781839535895
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Published by Institution of Engineering and Technology, 2023
ISBN 10: 183953589X ISBN 13: 9781839535895
Language: English
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Published by Institution of Engineering and Technology, 2023
ISBN 10: 183953589X ISBN 13: 9781839535895
Language: English
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.