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Artificial Intelligence for Neurological Disorders - Softcover

 
9780323902779: Artificial Intelligence for Neurological Disorders
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Published by Mosby (2022)
ISBN 10: 0323902774 ISBN 13: 9780323902779
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Abraham, Ajith/ Dash, Sujata/ Pani, Subhendu Kumar/ García-Hernández, Laura
Published by Academic Press (2022)
ISBN 10: 0323902774 ISBN 13: 9780323902779
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Book Description Paperback. Condition: Brand New. 500 pages. 9.00x6.00x0.87 inches. In Stock. Seller Inventory # __0323902774

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Ajith Abraham
Published by ACADEMIC PR INC Sep 2022 (2022)
ISBN 10: 0323902774 ISBN 13: 9780323902779
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances. Englisch. Seller Inventory # 9780323902779

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AJITH ABRAHAM;SUJATA DASH;SUBHENDU KUMAR PANI;LAURA GARCÍA-HERNÁNDEZ
Published by ACADEMIC PRESS (2023)
ISBN 10: 0323902774 ISBN 13: 9780323902779
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LIBRERIACB
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Book Description Rústica. Condition: New. Dust Jacket Condition: Nuevo. u003cpu003eu003ciu003eArtificial Intelligence for Neurological Disordersu003c/iu003e provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. u003c/pu003e u003cpu003eThe goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances.u003c/pu003e u003cbru003eu003cbru003eu003culu003e u003cliu003eDiscusses various AI and ML methods to apply for neurological researchu003c/liu003e u003cliu003eExplores Deep Learning techniques for brain MRI imagesu003c/liu003e u003cliu003eCovers AI techniques for the early detection of neurological diseases and seizure predictionu003c/liu003e u003cliu003eExamines cognitive therapies using AI and Deep Learning methodsu003c/liu003eu003c/ulu003e. LIBRO. Seller Inventory # 25122

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ISBN 10: 0323902774 ISBN 13: 9780323902779
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moluna
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to. Seller Inventory # 556249271

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Ajith Abraham
Published by Elsevier Science (2022)
ISBN 10: 0323902774 ISBN 13: 9780323902779
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AHA-BUCH GmbH
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances. Seller Inventory # 9780323902779

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Published by Academic Press (2022)
ISBN 10: 0323902774 ISBN 13: 9780323902779
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GF Books, Inc.
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Book Description Condition: New. Book is in NEW condition. 1.52. Seller Inventory # 0323902774-2-1

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