Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint - Couverture souple

Hinders, Mark K.

9783030493974: Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

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ISBN 10 : 3030493970 ISBN 13 : 9783030493974

Editeur : Springer, 2021

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Background and history.- Intelligent structural health monitoring with ultrasonic lamb waves.- Automatic detection of flaws in recorded music.- Pocket depth determination with an ultrasonographic periodontal probe.- Spectral intermezzo: Spirit security systems.- Lamb wave tomographic rays in pipes.- Classification of RFID tags with wavelet fingerprinting.- Pattern classification for interpreting sensor data from a walking-speed robot.- Cranks and charlatans and deepfakes.

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� propos de l?auteur

Professor Mark K. Hinders holds BS, MS and PhD degrees in Aerospace and Mechanical Engineering from Boston University, and is currently a Professor of Applied Science at the College of William & Mary in Virginia. Before coming to Williamsburg in 1993, Professor Hinders served as a Senior Scientist at Massachusetts Technological Laboratory, Inc., and as a Research Assistant Professor at Boston University. Before that he was an Electromagnetics Research Engineer at USAF Rome Laboratory located at Hanscom AFB, MA. Professor Hinders is currently conducting research in wave propagation and scattering phenomena as applied to medical imaging, intelligent robotics, security screening, remote sensing and nondestructive evaluation. He and his students are studying the interactions of acoustic, ultrasonic, elastic, thermal, electromagnetic and optical waves with various materials, tissues and structures. He is a founding member of the Applied Science Department and former Graduate Director and Department Chair.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2021
Langue: anglais
ISBN 10: 3030493970
ISBN 13: 9783030493974
Reliure: Broch�
Nombre de pages: 360
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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9783030493943: Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

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ISBN 10 : 3030493946 ISBN 13 : 9783030493943
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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint (eng)

Hinders, Mark K.

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ISBN 10 : 3030493970 ISBN 13 : 9783030493974

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Hinders, Mark K.

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Mark K. Hinders

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 360 pp. Englisch. N� de r�f. du vendeur 9783030493974

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Mark K. Hinders

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the dynamic wavelet fingerprint technique of identifying machine learning featuresDiscusses numerous real-world applications, including in the medical, vehicle and wireless technologyStructures chapters in a self-contained way, all. N� de r�f. du vendeur 477956666

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Mark K. Hinders

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Hinders, Mark K.

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Mark K. Hinders

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 360 pp. Englisch. N� de r�f. du vendeur 9783030493974

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Mark K. Hinders

Edit� par Springer International Publishing, 2021

ISBN 10 : 3030493970 ISBN 13 : 9783030493974

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783030493974

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