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Condition: acceptable. Readable copy. Pages may have considerable notes highlighting. May have varying covers. Fast Shipping - Mailed in plastic mailer!
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Hardcover. Condition: Very Good. 1st Edition. Oversized hardcover, weight: 1840g (please note: extra shipping will be required), xviii + 605 pages, NOT ex-library. Printed and bound in the UK. Interior is clean and bright throughout, with unmarked text, free of inscriptions and stamps, firmly bound. Boards show shelfwear, scuff-marks, rubbed tip of lower outer corner of the front board. Issued without a dust jacket. -- Contents: Preface; Editors; Contributors; I Introduction -- 1. Signal Processing in the Era of Biomedical Big Data / Tiago H. Falk & Ervin Sejdic; 2. Collecting and Making Sense of Big Data for Improved Health Care / Thomas R. Clancy; 3. Big Data Era in Magnetic Resonance Imaging of the Human Brain / Xiaoyu Ding, Elisabeth de Castro Caparelli & Thomas J. Ross; II Signal Processing for Big Data -- 4. Data-Driven Approaches for Detecting and Identifying Anomalous Data Streams / Shaofeng Zou; 5. Time-Frequency Analysis for EEG Quality Measurement and Enhancement with Applications in Newborn EEG Abnormality Detection Multichannel EEG Enhancement and Classification for Newborn Health Outcome Prediction / Boualem Boashash; 6. Active Recursive Bayesian State Estimation for Big Biological Data / Mohammad Moghadamfalahi, Murat Akcakaya & Deniz Erdogmus; 7. Compressive Sensing Methods for Reconstruction of Big Sparse Signals / Ljubisa Stankovic, Milos Dakovic & Isidora Stankovic; 8. Low-Complexity DCT Approximations for Biomedical Signal Processing in Big Data / Renato J. Cintra; 9. Dynamic Processes on Complex Networks / June Zhang & José M.F. Moura; 10. Modeling Functional Networks via Piecewise-Stationary Graphical Models / Hang Yu & Justin Dauwels; 11. Topological Data Analysis of Biomedical Big Data / Angkoon Phinyomark, Esther Ibañez-Marcelo & Giovanni Petri; 12. Targeted Learning with Application to Health Care Research / Susan Gruber; III Applications of Signal Processing and Machine Learning for Big Biomedical Data -- 13. Scalable Signal Data Processing for Measuring Functional Connectivity in Epilepsy Neurological Disorder / Arthur Gershon; 14. Machine Learning Approaches to Automatic Interpretation of EEGs / Iyad Obeid & Joseph Picone; 15. Information Fusion in Deep Convolutional Neural Networks for Biomedical Image Segmentation / Mohammad Havaei; 16. Automated Biventricular Cardiovascular Modelling from MRI for Big Heart Data Analysis / Kathleen Gilbert; 17. Deep Learning for Retinal Analysis / Henry A. Leopold, John S. Zelek & Vasudevan Lakshminarayanan; 18. Dictionary Learning Applications for HEp-2 Cell Classification / Sadaf Monajemi; 19. Computational Sequence- and NGS-Based MicroRNA Prediction / R.J. Peace & James R. Green; 20. Bayesian Classification of Genomic Big Data / Ulisses M. Braga-Neto; 21. Neuroelectrophysiology of Sleep and Insomnia / Ramiro Chaparro-Vargas; 22. Automated Processing of Big Data in Sleep Medicine / Sara Mariani, Shaun M. Purcell & Susan Redline; 23. Integrating Clinical Physiological Knowledge at the Feature and Classifier Levels in Design of a Clinical Decision Support System for Improved Prediction of Intensive Care Unit Outcome / Ali Jalali; 24. Trauma Outcome Prediction in the Era of Big Data: From Data Collection to Analytics / Shiming Yang, Peter F. Hu & Colin F. Mackenzie; 25. Enhancing Medical Problem Solving through the Integration of Temporal Abstractions with Bayesian Networks in Time-Oriented Clinical Domains / Kalia Orphanou, Athena Stassopoulou & Elpida Keravnou; 26. Big Data in Critical Care Using Artemis / Carolyn McGregor; 27. Improving Neurorehabilitation of the Upper Limb through Big Data / José Zariffa; 28. Multimodal Ambulatory Fall Risk Assessment in the Era of Big Data / Mina Nouredanesh & James Tung; Index.
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Signal Processing and Machine Learning for Biomedical Big Data
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1498773451 ISBN 13: 9781498773454
Condition: New.
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Condition: New.
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Signal Processing and Machine Learning for Biomedical Big Data
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1498773451 ISBN 13: 9781498773454
Condition: New.
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Signal Processing and Machine Learning for Biomedical Big Data
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1498773451 ISBN 13: 9781498773454
Condition: New.
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Signal Processing and Machine Learning for Biomedical Big Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Hardcover. Condition: New. New. book.
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Condition: As New. Unread book in perfect condition.
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Signal Processing and Machine Learning for Biomedical Big Data
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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Condition: New. Ervin Sejdic is currently an Assistant Professor with the Department of Electrical Engineering and Biomedical Engineering at the University of Pittsburg. He has extensive research experience in biomedical and theoretical signal processin.
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Hardcover. Condition: Brand New. 500 pages. 11.00x8.50x1.50 inches. In Stock.
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Signal Processing and Machine Learning for Biomedical Big Data
Language: English
Published by Taylor & Francis Inc Jul 2018, 2018
ISBN 10: 1498773451 ISBN 13: 9781498773454
Buch. Condition: Neu. Neuware.
