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Deep Learning Machine Learning And Iot In Biomedical And Health Informatics: Techniques And Applications
Published by T And F India, 2025
Language: English
Soft cover. Condition: New. ISBN:9781032938738,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
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Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing.
Published by Cham, Springer International Publishing., 2021
ISBN 10: 3030756564 ISBN 13: 9783030756567
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
First Edition
1st ed. 2021. XXV, 434 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. Studies in Big Data, 89. Sprache: Englisch.
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International EditionCondition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. pages cm.
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Condition: As New. Unread book in perfect condition.
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Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics: Techniques and Applications (Biomedical Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: New. pages cm First edition Includes bibliographical references and index.
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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics: Techniques and Applications
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367548461 ISBN 13: 9780367548469
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. 540.
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Condition: New. pages cm.
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Deep Learning, Machine Learning and Iot in Biomedical and Health Informatics : Techniques and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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International Edition
DEEP LEARNING MACHINE LEARNING AND IOT IN BIOMEDICAL AND HEALTH INFORMATICS: TECHNIQUES AND APPLICATIONS
Published by T&F INDIA, 2025
ISBN 10: 1032938730 ISBN 13: 9781032938738
Paperback. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 0367548461 ISBN 13: 9780367548469
Language: English
Paperback. Condition: new. Paperback. Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches Discusses various techniques of IoT systems for healthcare data analytics Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics Focuses more on the application of algorithms in various real life biomedical and engineering problems Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IOT and Machine Learning based biomedical and health related applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Deep Learning, Machine Learning and Iot in Biomedical and Health Informatics : Techniques and 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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Biomedical Data Mining for Information Retrieval: Methodologies, Techniques, and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation)
Seller: Professional Book Services, Hallandale Beach, FL, U.S.A.
Seller rating 5 out of 5 stars
First Edition
Hardcover. Condition: New. 1st Edition. SHIPS FAST!! SAME DAY or w/in 24 hours.EXPEDITED SHIPPING AVAILABLE Too!! Usps tracking included free!!!
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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 0367548461 ISBN 13: 9780367548469
Language: English
Paperback. Condition: new. Paperback. Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches Discusses various techniques of IoT systems for healthcare data analytics Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics Focuses more on the application of algorithms in various real life biomedical and engineering problems Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IOT and Machine Learning based biomedical and health related applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Paperback. Condition: Brand New. 448 pages. 9.21x7.50x10.87 inches. In Stock.
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Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Paperback. Condition: Brand New. 500 pages. 9.21x7.50x1.30 inches. In Stock.
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Condition: As New. Unread book in perfect condition.
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Biomedical Data Mining for Information Retrieval: Methodologies, Techniques, and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation)
Seller: Michael Knight, Bookseller, Forest Grove, OR, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good. Hardcover issued without dust-jacket. Bumping to edges of boards. Otherwise, clean and solid.
