Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint
Author :
Publisher : Springer Nature
Total Pages : 353
Release :
ISBN-10 : 9783030493950
ISBN-13 : 3030493954
Rating : 4/5 (50 Downloads)

Book Synopsis Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint by : Mark K. Hinders

Download or read book Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint written by Mark K. Hinders and published by Springer Nature. This book was released on 2020-07-01 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint Related Books

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint
Language: en
Pages: 353
Authors: Mark K. Hinders
Categories: Technology & Engineering
Type: BOOK - Published: 2020-07-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine l
Discrete Time Systems
Language: en
Pages: 541
Authors: Mario Alberto Jordán
Categories: Computers
Type: BOOK - Published: 2011-04-26 - Publisher: BoD – Books on Demand

DOWNLOAD EBOOK

Discrete-Time Systems comprehend an important and broad research field. The consolidation of digital-based computational means in the present, pushes a technolo
Advances in Neural Network Research and Applications
Language: en
Pages: 921
Authors: Zhigang Zeng
Categories: Technology & Engineering
Type: BOOK - Published: 2010-05-10 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over th
Advances in Cyber Security: Principles, Techniques, and Applications
Language: en
Pages: 270
Authors: Kuan-Ching Li
Categories: Computers
Type: BOOK - Published: 2018-12-06 - Publisher: Springer

DOWNLOAD EBOOK

This book provides state-of-the-art coverage of the principles, techniques, and management of issues in cyber security, including threat attacks, privacy, signa
Soft Actuators
Language: en
Pages: 722
Authors: Kinji Asaka
Categories: Technology & Engineering
Type: BOOK - Published: 2019-08-28 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is the second edition of Soft Actuators, originally published in 2014, with 12 chapters added to the first edition. The subject of this new edition is