Idioma: Inglés
Publicado por Engineering Science Reference, 2019
ISBN 10: 1799814645 ISBN 13: 9781799814641
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 250,34
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Engineering Science Reference, 2019
ISBN 10: 1799814645 ISBN 13: 9781799814641
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 250,33
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Engineering Science Reference, 2019
ISBN 10: 1799814645 ISBN 13: 9781799814641
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 269,20
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Engineering Science Reference, 2019
ISBN 10: 1799814645 ISBN 13: 9781799814641
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 280,40
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Engineering Science Reference, 2019
ISBN 10: 1799814645 ISBN 13: 9781799814641
Librería: Buchpark, Trebbin, Alemania
EUR 177,70
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology continues to advance, manufacturers are looking for better methods in predicting the condition and residual lifetime of electronic devices in order to save repair costs and their reputation. Intelligent systems are a solution for predicting the reliability of these components; however, there is a lack of research on the advancements of this smart technology within the manufacturing industry. AI Techniques for Reliability Prediction for Electronic Components provides emerging research exploring the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field. Featuring coverage on a broad range of topics such as data collection, fault tolerance, and health prognostics, this book is ideally designed for reliability engineers, electronic engineers, researchers, scientists, students, and faculty members seeking current research on the advancement of reliability analysis using AI.
Idioma: Inglés
Publicado por Engineering Science Reference, 2019
ISBN 10: 1799814645 ISBN 13: 9781799814641
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 277,99
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Engineering Science Reference, 2019
ISBN 10: 1799814645 ISBN 13: 9781799814641
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 443,25
Cantidad disponible: 1 disponibles
Añadir al carritohardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 254,92
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Engineering Science Reference, 2019
ISBN 10: 1799814645 ISBN 13: 9781799814641
Librería: moluna, Greven, Alemania
EUR 263,65
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides emerging research exploring the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field. The book features coverage on a broad range of topics, including data collection,.
Idioma: Inglés
Publicado por Engineering Science Reference, 2019
ISBN 10: 1799814645 ISBN 13: 9781799814641
Librería: preigu, Osnabrück, Alemania
EUR 273,25
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. AI Techniques for Reliability Prediction for Electronic Components | Cherry Bhargava | Buch | Gebunden | Englisch | 2019 | Engineering Science Reference | EAN 9781799814641 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Engineering Science Reference, 2019
ISBN 10: 1799814645 ISBN 13: 9781799814641
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 328,55
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology continues to advance, manufacturers are looking for better methods in predicting the condition and residual lifetime of electronic devices in order to save repair costs and their reputation. Intelligent systems are a solution for predicting the reliability of these components; however, there is a lack of research on the advancements of this smart technology within the manufacturing industry. AI Techniques for Reliability Prediction for Electronic Components provides emerging research exploring the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field. Featuring coverage on a broad range of topics such as data collection, fault tolerance, and health prognostics, this book is ideally designed for reliability engineers, electronic engineers, researchers, scientists, students, and faculty members seeking current research on the advancement of reliability analysis using AI.