Lai zhihui (29 risultati)

Hardback. Condizione: New.

Condizione: New.

Hardback. Condizione: New.

Condizione: New. In English.

Condizione: New. In English.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.…

Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 308 pages. 9.25x6.10x1.02 inches. In Stock.

Hardcover. Condizione: Brand New. 305 pages. 9.25x6.10x9.21 inches. In Stock.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Hardcover. Condizione: new. Hardcover. The aim of this Reprint is to educate the readers on the advanced fault or defect detection and diagnosis methods of machines and structures, even including a few advanced sensing techniques. We aim to uncover cutting-edge methodologies for mechanical and structural fault detection and diagnosis, with a focus on bearing diagnosis and signal processing innovation. Key advances include adaptive signal denoising and enhancement through utilizing noise, precision sensing hardware, AI-based diagnostics and data analysis. This Reprint would provide abundant and systemic content, from precise measurement, to signal processing-based signature extraction, to AI-empowered diagnosis frameworks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this Reprint is to educate the readers on the advanced fault or defect detection and diagnosis methods of machines and structures, even including a few advanced sensing techniques. We aim to uncover cutting-edge methodologies for mechanical and structural fault detection and diagnosis, with a focus on bearing diagnosis and signal processing innovation. Key advances include adaptive signal denoising and enhancement through utilizing noise, precision sensing hardware, AI-based diagnostics and data analysis. This Reprint would provide abundant and systemic content, from precise measurement, to signal processing-based signature extraction, to AI-empowered diagnosis frameworks.…

Buch. Condizione: Neu. Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis | Buch | Englisch | 2025 | MDPI AG | EAN 9783725849659 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers advanced feature learning methods, such as sparse learning, and deep-learning-based feature learning&nbspIncludes also traditional and cutting-edge feature learning methodsContains the detailed theoretical analysis of each featu.…

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers advanced feature learning methods, such as sparse learning, and deep-learning-based feature learning&nbspIncludes also traditional and cutting-edge feature learning methodsContains the detailed theoretical analysis of each featu.…

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Condizione: New. PRINT ON DEMAND.