Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 55,41
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 94,27
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. 2023rd edition NO-PA16APR2015-KAP.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 102,70
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 92,66
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 107,59
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 92,65
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 103,98
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Springer International Publishing Mär 2024, 2024
ISBN 10 : 3031196414 ISBN 13 : 9783031196416
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 64,19
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.
Vendeur : preigu, Osnabrück, Allemagne
EUR 59,40
Quantité disponible : 5 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Machine Learning Support for Fault Diagnosis of System-on-Chip | Patrick Girard (u. a.) | Taschenbuch | xi | Englisch | 2024 | Springer | EAN 9783031196416 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
EUR 119,84
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : New.
Langue: anglais
Edité par Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10 : 3031196384 ISBN 13 : 9783031196386
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 90,94
Quantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 143,48
Quantité disponible : 2 disponible(s)
Ajouter au panierHardcover. Etat : Brand New. 327 pages. 9.25x6.10x9.21 inches. In Stock.
EUR 151,26
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : New.
Vendeur : Buchpark, Trebbin, Allemagne
EUR 67,15
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : Hervorragend. Zustand: Hervorragend | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 58,47
Quantité disponible : Plus de 20 disponibles
Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 55,98
Quantité disponible : Plus de 20 disponibles
Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 54,23
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : new. Questo è un articolo print on demand.
Vendeur : Basi6 International, Irving, TX, Etats-Unis
EUR 65,21
Quantité disponible : 10 disponible(s)
Ajouter au panierEtat : Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Vendeur : Basi6 International, Irving, TX, Etats-Unis
EUR 78,76
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 74,24
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10 : 3031196414 ISBN 13 : 9783031196416
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 64,19
Quantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques. 316 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 95,88
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand.
Langue: anglais
Edité par Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10 : 3031196414 ISBN 13 : 9783031196416
Vendeur : moluna, Greven, Allemagne
EUR 55,78
Quantité disponible : Plus de 20 disponibles
Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after m.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 96,17
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND.
Langue: anglais
Edité par Springer International Publishing, Springer International Publishing Mär 2023, 2023
ISBN 10 : 3031196384 ISBN 13 : 9783031196386
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 90,94
Quantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques. 328 pp. Englisch.
Langue: anglais
Edité par Springer, Springer Mär 2024, 2024
ISBN 10 : 3031196414 ISBN 13 : 9783031196416
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 64,19
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 328 pp. Englisch.
Langue: anglais
Edité par Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10 : 3031196384 ISBN 13 : 9783031196386
Vendeur : moluna, Greven, Allemagne
EUR 79,72
Quantité disponible : Plus de 20 disponibles
Ajouter au panierGebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after m.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 128,69
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 129,32
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND.
Langue: anglais
Edité par Springer, Springer Mär 2023, 2023
ISBN 10 : 3031196384 ISBN 13 : 9783031196386
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 90,94
Quantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 328 pp. Englisch.