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Hardcover. Zustand: new. Hardcover. Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning modelsTechniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of dataOptimization techniques such as Particle Swarm Optimization and Ant Colony OptimizationDetection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behaviorEssential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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Hardback. Zustand: New. 1st. Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with QandA review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning modelsTechniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of dataOptimization techniques such as Particle Swarm Optimization and Ant Colony OptimizationDetection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behaviorEssential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable.…

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Zustand: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Hardback. Zustand: New. 1st. Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with QandA review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning modelsTechniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of dataOptimization techniques such as Particle Swarm Optimization and Ant Colony OptimizationDetection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behaviorEssential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable.…

Buch. Zustand: Neu. Neuware - Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: - Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning models - Techniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of data - Optimization techniques such as Particle Swarm Optimization and Ant Colony Optimization - Detection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behavior - Essential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable.…

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Masood NosheenDr Nosheen Masood have been working on cancer genetics for the past 6 years. She had found many novel m utations in different genes. Prof Azra Yasmin have number of publications which provide a clear picture of her gras.…

Hardcover. Zustand: new. Hardcover. Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning modelsTechniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of dataOptimization techniques such as Particle Swarm Optimization and Ant Colony OptimizationDetection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behaviorEssential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

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Hardcover. Zustand: new. Hardcover. Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning modelsTechniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of dataOptimization techniques such as Particle Swarm Optimization and Ant Colony OptimizationDetection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behaviorEssential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable. 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. …