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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Paperback, 1st ed. 2020) Loot Price: R4,367
Discovery Miles 43 670
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Paperback, 1st ed. 2020): Mark K...

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (Paperback, 1st ed. 2020)

Mark K Hinders

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Loot Price R4,367 Discovery Miles 43 670 | Repayment Terms: R409 pm x 12*

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This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means. Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background information on machine learning and the wavelet fingerprint technique. It then progresses through six technical chapters, applying the methods discussed to particular real-world problems. Theses chapters are presented in such a way that they can be read on their own, depending on the reader's area of interest, or read together to provide a comprehensive overview of the topic. Given its scope, the book will be of interest to practitioners, engineers and researchers seeking to leverage the latest advances in machine learning in order to develop solutions to practical problems in structural health monitoring, medical imaging, autonomous vehicles, wireless technology, and historical conservation.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: July 2021
First published: 2020
Authors: Mark K Hinders
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 346
Edition: 1st ed. 2020
ISBN-13: 978-3-03-049397-4
Categories: Books > Computing & IT > Applications of computing > Signal processing
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Electronic devices & materials > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 3-03-049397-0
Barcode: 9783030493974

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