Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. First edition Includes bibliographical references and index.
Da: Majestic Books, Hounslow, Regno Unito
EUR 60,13
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 57,45
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 63,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 63,90
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 500.
Da: Revaluation Books, Exeter, Regno Unito
EUR 85,91
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 328 pages. 9.18x6.12x9.21 inches. In Stock.
Da: preigu, Osnabrück, Germania
EUR 54,80
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. VLSI and Hardware Implementations using Modern Machine Learning Methods | Sandeep Saini (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9781032061726 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Da: Chiron Media, Wallingford, Regno Unito
EUR 122,70
Quantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 147,66
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: H N H International Limited, 2021
ISBN 10: 1032061715 ISBN 13: 9781032061719
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 161,81
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 185.
Lingua: Inglese
Editore: H N H International Limited, 2021
ISBN 10: 1032061715 ISBN 13: 9781032061719
Da: Majestic Books, Hounslow, Regno Unito
EUR 166,98
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 157,31
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: California Books, Miami, FL, U.S.A.
EUR 177,19
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 232,11
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 336 pages. 9.75x6.50x0.75 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032061723 ISBN 13: 9781032061726
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learningbased methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques.Features:Provides the details of state-of-the-art machine learning methods used in VLSI designDiscusses hardware implementation and device modeling pertaining to machine learning algorithmsExplores machine learning for various VLSI architectures and reconfigurable computingIllustrates the latest techniques for device size and feature optimizationHighlights the latest case studies and reviews of the methods used for hardware implementationThis book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems. This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design with focus on digital, analog and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 70,00
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 66,34
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. 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.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 66,79
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 55,80
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learning-based methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques.Features:Provides the details of state-of-the-art machine learning methods used in VLSI designDiscusses hardware implementation and device modeling pertaining to machine learning algorithmsExplores machine learning for various VLSI architectures and reconfigurable computingIllustrates the latest techniques for device size and feature optimizationHighlights the latest case studies and reviews of the methods used for hardware implementationThis book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems. 330 pp. Englisch.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 77,96
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032061723 ISBN 13: 9781032061726
Da: CitiRetail, Stevenage, Regno Unito
EUR 72,13
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learningbased methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques.Features:Provides the details of state-of-the-art machine learning methods used in VLSI designDiscusses hardware implementation and device modeling pertaining to machine learning algorithmsExplores machine learning for various VLSI architectures and reconfigurable computingIllustrates the latest techniques for device size and feature optimizationHighlights the latest case studies and reviews of the methods used for hardware implementationThis book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems. This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design with focus on digital, analog and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032061723 ISBN 13: 9781032061726
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 90,21
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learningbased methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques.Features:Provides the details of state-of-the-art machine learning methods used in VLSI designDiscusses hardware implementation and device modeling pertaining to machine learning algorithmsExplores machine learning for various VLSI architectures and reconfigurable computingIllustrates the latest techniques for device size and feature optimizationHighlights the latest case studies and reviews of the methods used for hardware implementationThis book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems. This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design with focus on digital, analog and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 91,87
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design with focus on digital, analog and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 147,67
Quantità: 5 disponibili
Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.