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Language: English
Published by Cham, Springer International Publishing., 2021
ISBN 10: 3030752194 ISBN 13: 9783030752194
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
First Edition
1st ed. 2021. VIII, 268 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. Internet of Things, Technology, Communications and Computing. Sprache: Englisch.
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include:Genome sequence and visualizationThe role of AI and cloud in detection of diseasesNature-inspired algorithms for disease detectionFrameworks for disease classificationWith a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring.
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by Taylor & Francis Ltd, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Published by Auerbach Publications, 2025
ISBN 10: 1041019262 ISBN 13: 9781041019268
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Add to basketPaperback. Condition: Brand New. 264 pages. 9.18x6.12x9.21 inches. In Stock.