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Signal Processing and Machine Learning with Applications
Seller: Books From California, Simi Valley, CA, U.S.A.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
Published by Oxford University Press, 2019
ISBN 10: 0198714939 ISBN 13: 9780198714934
Language: English
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Add to basketPaperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Published by Oxford University Press, 2024
ISBN 10: 0198896557 ISBN 13: 9780198896555
Language: English
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Visual Quality Assessment by Machine Learning (SpringerBriefs in Signal Processing)
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Machine Learning in Signal Processing : Applications, Challenges and the Road Ahead
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367618923 ISBN 13: 9780367618926
Language: English
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Coherence: In Signal Processing and Machine Learning
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Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning
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Bayesian Tensor Decomposition for Signal Processing and Machine Learning: Modeling, Tuning-Free Algorithms, and Applications
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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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Machine and Deep Learning Algorithms and Applications (Synthesis Lectures on Signal Processing)
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Add to baskethardcover. Condition: Gut. Seiten; 9781119861829.3 Gewicht in Gramm: 2.
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Machine Learning Algorithms : Adversarial Robustness in Signal Processing
Published by Springer International Publishing, 2023
ISBN 10: 303116377X ISBN 13: 9783031163777
Language: English
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Add to basketHardcover. 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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