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Published by Apple Academic Press, 2023
ISBN 10: 1774638177 ISBN 13: 9781774638170
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Language: English
Published by Apple Academic Press, 2023
ISBN 10: 1774638177 ISBN 13: 9781774638170
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Condition: New. 318 pages, illustrations some color First edition Includes bibliographical references and index.
Language: English
Published by Apple Academic Press, 2023
ISBN 10: 1774638177 ISBN 13: 9781774638170
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Published by Apple Academic Press Inc., 2023
ISBN 10: 1774638177 ISBN 13: 9781774638170
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Published by Apple Academic Press, 2023
ISBN 10: 1774638177 ISBN 13: 9781774638170
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Language: English
Published by Apple Academic Press, 2023
ISBN 10: 1774638177 ISBN 13: 9781774638170
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Condition: New. E. Golden Julie, PhD, is a Senior Assistant Professor in the Department of Computer Science and Engineering at Anna University, Regional Campus, Tirunelveli, India. With more than 12 years of experience in teaching, she has published and.
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Language: English
Published by Apple Academic Press, 2021
ISBN 10: 1771889985 ISBN 13: 9781771889988
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Published by Apple Academic Press, 2021
ISBN 10: 1771889985 ISBN 13: 9781771889988
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Published by Apple Academic Press, 2021
ISBN 10: 1771889985 ISBN 13: 9781771889988
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Published by Apple Academic Pr Inc, 2023
ISBN 10: 1774638177 ISBN 13: 9781774638170
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Published by Apple Academic Press, 2021
ISBN 10: 1771889985 ISBN 13: 9781771889988
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Published by Apple Academic Press, 2021
ISBN 10: 1771889985 ISBN 13: 9781771889988
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Published by Apple Academic Press Inc., 2021
ISBN 10: 1771889985 ISBN 13: 9781771889988
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Published by Apple Academic Press, 2021
ISBN 10: 1771889985 ISBN 13: 9781771889988
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Language: English
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128230142 ISBN 13: 9780128230145
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Published by Apple Academic Press, 2021
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Published by Apple Academic Pr Inc, 2021
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Hardcover. Condition: Brand New. 1st edition. 318 pages. 9.50x6.00x0.75 inches. In Stock.
Condition: New. Presents a comprehensive handbook of the biomedical engineering applications of DL, including computational neuroscience, neuroimaging, time series data such as MRI, functional MRI, CT, EEG, MEG, and data fusion of biomedical imaging data from disp.
Language: English
Published by Apple Academic Press, 2023
ISBN 10: 1774638177 ISBN 13: 9781774638170
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Published by Elsevier Science Publishing Co Inc Nov 2020, 2020
ISBN 10: 0128230142 ISBN 13: 9780128230145
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Taschenbuch. Condition: Neu. Neuware - Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of Deep Learning and its applications in the field of Biomedical Engineering. Deep learning has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. Deep Learning provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and AI techniques such as Deep Learning and Convolutional Neural Networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use Deep Learning include: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of Deep Learning applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer's, ADHD, and ASD, tumor prediction, as well as translational multimodal imaging analysis.