Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pages cm First edition Includes bibliographical references and index.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
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Paperback. Condition: new. Paperback. Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines.Features Covers the fundamentals, history, reality and challenges of cancer Presents concepts and analysis of different cancers in humans Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer Offers real-world examples of cancer prediction Reviews strategies and tools used in cancer prediction Explores the future prospects in cancer prediction and treatmentReaders will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions.This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers. This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer prediction. It is aimed primarily at graduates and researchers working in machine learning and data mining. Researchers and healthcare specialists studying cancer will also find this book useful. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
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Add to basketPaperback. Condition: new. Paperback. Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines.Features Covers the fundamentals, history, reality and challenges of cancer Presents concepts and analysis of different cancers in humans Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer Offers real-world examples of cancer prediction Reviews strategies and tools used in cancer prediction Explores the future prospects in cancer prediction and treatmentReaders will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions.This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers. This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer prediction. It is aimed primarily at graduates and researchers working in machine learning and data mining. Researchers and healthcare specialists studying cancer will also find this book useful. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
Seller: Open Books, Chicago, IL, U.S.A.
hardcover. Condition: New. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
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Add to basketPaperback. Condition: new. Paperback. Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines.Features Covers the fundamentals, history, reality and challenges of cancer Presents concepts and analysis of different cancers in humans Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer Offers real-world examples of cancer prediction Reviews strategies and tools used in cancer prediction Explores the future prospects in cancer prediction and treatmentReaders will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions.This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers. This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer prediction. It is aimed primarily at graduates and researchers working in machine learning and data mining. Researchers and healthcare specialists studying cancer will also find this book useful. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
Seller: Best Price, Torrance, CA, U.S.A.
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
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Published by Chapman and Hall/CRC 2021-12-31, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
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Published by Taylor & Francis Ltd, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
Seller: California Books, Miami, FL, U.S.A.
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032028785 ISBN 13: 9781032028781
Language: English
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Add to basketHardcover. Condition: Brand New. 216 pages. 10.00x7.00x0.75 inches. In Stock.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032028793 ISBN 13: 9781032028798
Language: English
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