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Machine Learning Bio Signal Analysis (15 results)
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US$ 171.54
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Ships from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New. pp. 345.
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Condition: New.
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Condition: New. pp. 345.
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
Language: English
Published by Elsevier Science Publishing Co Inc, 2018
ISBN 10: 0128160861 ISBN 13: 9780128160862
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 195.57
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New. pp. 345.
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Condition: As New. Unread book in perfect condition.
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 213.09
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 213.10
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2018
ISBN 10: 0128160861 ISBN 13: 9780128160862
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 257.77
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Add to basketPaperback. Condition: New. Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers.
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US$ 229.81
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Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intellige.
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2018
ISBN 10: 0128160861 ISBN 13: 9780128160862
US$ 251.28
US$ 87.07 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers.
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Machine Learning in Bio-Signal Analysis and Diagnostic Imagi
Language: English
Published by ACADEMIC PRESS Dez 2018, 2018
ISBN 10: 0128160861 ISBN 13: 9780128160862
Taschenbuch. Condition: Neu. Neuware.
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Condition: new. Questo è un articolo print on demand.
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US$ 175.58
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Add to basketPaperback. Condition: Brand New. 327 pages. 9.00x7.25x1.00 inches. In Stock. This item is printed on demand.
