9789819538447 - machine learning integration in power electronics: essential principles, implementation practices, and industry applications di al-kaf, hasan ali gamal; lee, kyo-beum (11 risultati)

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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.

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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condizione: new. Hardcover. This book provides a comprehensive guide for integrating machine learning techniques to enhance power electronic systems, with a focus on real-time applications, fault detection, and advanced control systems. Machine learning applications in power electronics delve into the transformative p…otential of machine learning in the field of power electronics. It is designed for professionals, researchers, and students who seek to leverage machine learning to address complex challenges and optimize performance in power electronics. The book explores the synergies between machine learning and power electronics, highlighting the importance of these technologies in industries such as renewable energy, electric vehicles, and industrial automation. It provides practical insights into implementing machine learning solutions, covering essential concepts, algorithms, workflows, and real-time deployment. Readers can gain valuable knowledge on integration strategies and advanced applications, including control of permanent magnet synchronous motor (PMSM) drives and fault detection in neutral point clamped (NPC) inverters. Additionally, the book offers best practices for selecting appropriate machine learning methods, such as integrating physics-informed models, utilizing lightweight neural networks, ensuring transparency with explainable methods, and employing conformal prediction for reliable outcomes. Beyond practical guidance, this book presents innovative ideas from recent literature, showcasing cutting-edge applications and future research directions. With its practical focus, detailed methodologies, and forward-looking insights, this book is an essential resource for anyone looking to harness the power of machine learning to drive innovation and improve system performance in power electronics. Machine learning applications in power electronics delve into the transformative potential of machine learning in the field of power electronics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive guide for integrating machine learning techniques to enhance power electronic systems, with a focus on real-time applications, fault detection, and advanced control systems. Machine learning applications in power electr…onics delve into the transformative potential of machine learning in the field of power electronics. It is designed for professionals, researchers, and students who seek to leverage machine learning to address complex challenges and optimize performance in power electronics. The book explores the synergies between machine learning and power electronics, highlighting the importance of these technologies in industries such as renewable energy, electric vehicles, and industrial automation. It provides practical insights into implementing machine learning solutions, covering essential concepts, algorithms, workflows, and real-time deployment. Readers can gain valuable knowledge on integration strategies and advanced applications, including control of permanent magnet synchronous motor (PMSM) drives and fault detection in neutral point clamped (NPC) inverters. Additionally, the book offers best practices for selecting appropriate machine learning methods, such as integrating physics-informed models, utilizing lightweight neural networks, ensuring transparency with explainable methods, and employing conformal prediction for reliable outcomes. Beyond practical guidance, this book presents innovative ideas from recent literature, showcasing cutting-edge applications and future research directions. With its practical focus, detailed methodologies, and forward-looking insights, this book is an essential resource for anyone looking to harness the power of machine learning to drive innovation and improve system performance in power electronics.

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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 171 pages. 9.26x6.11x9.49 inches. In Stock.

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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a comprehensive guide for integrating machine learning techniques to enhance power electronic systems, with a focus on real-time applications, fault detection, and advanced control systems. Machine learning applications… in power electronics delve into the transformative potential of machine learning in the field of power electronics. It is designed for professionals, researchers, and students who seek to leverage machine learning to address complex challenges and optimize performance in power electronics. The book explores the synergies between machine learning and power electronics, highlighting the importance of these technologies in industries such as renewable energy, electric vehicles, and industrial automation. It provides practical insights into implementing machine learning solutions, covering essential concepts, algorithms, workflows, and real-time deployment. Readers can gain valuable knowledge on integration strategies and advanced applications, including control of permanent magnet synchronous motor (PMSM) drives and fault detection in neutral point clamped (NPC) inverters. Additionally, the book offers best practices for selecting appropriate machine learning methods, such as integrating physics-informed models, utilizing lightweight neural networks, ensuring transparency with explainable methods, and employing conformal prediction for reliable outcomes. Beyond practical guidance, this book presents innovative ideas from recent literature, showcasing cutting-edge applications and future research directions. With its practical focus, detailed methodologies, and forward-looking insights, this book is an essential resource for anyone looking to harness the power of machine learning to drive innovation and improve system performance in power electronics. 161 pp. Englisch.

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Da: preigu, Osnabrück, Germaniapreigu
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Buch. Condizione: Neu. Machine Learning Integration in Power Electronics | Essential Principles, Implementation Practices, and Industry Applications | Hasan Ali Gamal Al-Kaf (u. a.) | Buch | x | Englisch | 2026 | Springer | EAN 9789819538447 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heid…elberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Lingua: Inglese
Editore: Springer, Springer Nature Singapore Jan 2026, 2026
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Introduction to Machine Learning in Power Electronics.- Fundamentals of Machine Learning.- Integrating Machine Learning with Power Electronics.- Machine Learning Methods for Control of PMSM Drives.- Machine Learning for Fault Detection.- Reco…mmendations and Best Practices.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.

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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 252,15
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Condizione: New. Print on Demand.

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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 256,71
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Condizione: New. PRINT ON DEMAND.