Zemouri Ryad (16 results)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 97.51
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- Hardcover
Seller: INDOO, Avenel, NJ, U.S.A.INDOO
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£ 99.54
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- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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£ 103.67
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 113.22
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Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 103.66
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Condition: New.
- Hardcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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£ 122.80
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Hardcover. Condition: new. Hardcover. Key insights and practical guidance on transitioning to clean energy while meeting increasing energy demands, covering AI developments and more Prognostics and Health Management in Energy and Power Systems explores two highly topical subjects, energy transition and the latest advances in Art…ificial Intelligence, and provides insights and practical guidance for a smooth transition to clean, low-carbon energy while simultaneously continuing to meet the ever-increasing demand for energy. The first part of this book is completely devoted to the challenges, trends, and Asset Management requirements for the energy transition and explains why the energy system of the future must be resilient, autonomous, anticipatory, and situation-aware. The second part of the book presents key developments in recent years and shows the gradual shift from a collection of monolithic architectures for narrow, singular tasks to a set of modular, reconfigurable architectures capable of handling different types of tasks. An industrial case study is illustrated in the third part of the book, showing that Large-Scale Foundation models represent a promising technique to support the Prognostics and Health Management of the energy system. This book includes information on: Key differences between reliability and resilience, covering Low-Impact, High-Probability events and High-Impact, Low-Frequency events Important factors in the operation of current and future power plants and substations, including software, complexity, human error, data, and maintenance Modularity, reliability, and explainability of Large-Scale Foundation models Transformer-based Deep Neural Networks, covering Attention Mechanisms, Positional Encoding, and input-output data embedding Graph-based approaches to prognostics of complex machinery with sparse Run-to-Failure data, covering diagnostics feature extraction and graph dataset generation Prognostics and Health Management in Energy and Power Systems is an essential forward-thinking reference for engineers and researchers working in the energy sector with an interest in AI techniques and Machine Learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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£ 132.86
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Hardback. Condition: New. Key insights and practical guidance on transitioning to clean energy while meeting increasing energy demands, covering AI developments and more Prognostics and Health Management in Energy and Power Systems explores two highly topical subjects, energy transition and the latest advances in Artificial Inte…lligence, and provides insights and practical guidance for a smooth transition to clean, low-carbon energy while simultaneously continuing to meet the ever-increasing demand for energy. The first part of this book is completely devoted to the challenges, trends, and Asset Management requirements for the energy transition and explains why the energy system of the future must be resilient, autonomous, anticipatory, and situation-aware. The second part of the book presents key developments in recent years and shows the gradual shift from a collection of monolithic architectures for narrow, singular tasks to a set of modular, reconfigurable architectures capable of handling different types of tasks. An industrial case study is illustrated in the third part of the book, showing that Large-Scale Foundation models represent a promising technique to support the Prognostics and Health Management of the energy system. This book includes information on: Key differences between reliability and resilience, covering Low-Impact, High-Probability events and High-Impact, Low-Frequency events Important factors in the operation of current and future power plants and substations, including software, complexity, human error, data, and maintenance Modularity, reliability, and explainability of Large-Scale Foundation models Transformer-based Deep Neural Networks, covering Attention Mechanisms, Positional Encoding, and input-output data embedding Graph-based approaches to prognostics of complex machinery with sparse Run-to-Failure data, covering diagnostics feature extraction and graph dataset generation Prognostics and Health Management in Energy and Power Systems is an essential forward-thinking reference for engineers and researchers working in the energy sector with an interest in AI techniques and Machine Learning.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 116.52
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
Contact seller5-star sellerCondition: New
£ 122.36
£ 17.44 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
- Hardcover
- First Edition
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
Contact seller5-star sellerCondition: New
£ 135.55
£ 8.13 shippingShips from Ireland to U.S.A.Quantity: 15 available
Condition: New. 2026. 1st Edition. hardcover. . . . . .
- Hardcover
Seller: Ubiquity Trade, Miami, FL, U.S.A.Ubiquity Trade
Contact seller4-star sellerCondition: New
£ 144.51
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Condition: New. Brand new! Please provide a physical shipping address.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
£ 156.51
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Condition: New. pp. 272 1st edition NO-PA16APR2015-KAP.
- Hardcover
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 130.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. Key insights and practical guidance on transitioning to clean energy while meeting increasing energy demands, covering AI developments and more Prognostics and Health Management in Energy and Power Systems explores two highly topical subjects, energy transition and the latest advances in Art…ificial Intelligence, and provides insights and practical guidance for a smooth transition to clean, low-carbon energy while simultaneously continuing to meet the ever-increasing demand for energy. The first part of this book is completely devoted to the challenges, trends, and Asset Management requirements for the energy transition and explains why the energy system of the future must be resilient, autonomous, anticipatory, and situation-aware. The second part of the book presents key developments in recent years and shows the gradual shift from a collection of monolithic architectures for narrow, singular tasks to a set of modular, reconfigurable architectures capable of handling different types of tasks. An industrial case study is illustrated in the third part of the book, showing that Large-Scale Foundation models represent a promising technique to support the Prognostics and Health Management of the energy system. This book includes information on: Key differences between reliability and resilience, covering Low-Impact, High-Probability events and High-Impact, Low-Frequency events Important factors in the operation of current and future power plants and substations, including software, complexity, human error, data, and maintenance Modularity, reliability, and explainability of Large-Scale Foundation models Transformer-based Deep Neural Networks, covering Attention Mechanisms, Positional Encoding, and input-output data embedding Graph-based approaches to prognostics of complex machinery with sparse Run-to-Failure data, covering diagnostics feature extraction and graph dataset generation Prognostics and Health Management in Energy and Power Systems is an essential forward-thinking reference for engineers and researchers working in the energy sector with an interest in AI techniques and Machine Learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contact seller5-star sellerCondition: New
£ 167.77
£ 7.80 shippingShips within U.S.A.Quantity: 15 available
Condition: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 122.57
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardback. Condition: New. Key insights and practical guidance on transitioning to clean energy while meeting increasing energy demands, covering AI developments and more Prognostics and Health Management in Energy and Power Systems explores two highly topical subjects, energy transition and the latest advances in Artificial Inte…lligence, and provides insights and practical guidance for a smooth transition to clean, low-carbon energy while simultaneously continuing to meet the ever-increasing demand for energy. The first part of this book is completely devoted to the challenges, trends, and Asset Management requirements for the energy transition and explains why the energy system of the future must be resilient, autonomous, anticipatory, and situation-aware. The second part of the book presents key developments in recent years and shows the gradual shift from a collection of monolithic architectures for narrow, singular tasks to a set of modular, reconfigurable architectures capable of handling different types of tasks. An industrial case study is illustrated in the third part of the book, showing that Large-Scale Foundation models represent a promising technique to support the Prognostics and Health Management of the energy system. This book includes information on: Key differences between reliability and resilience, covering Low-Impact, High-Probability events and High-Impact, Low-Frequency events Important factors in the operation of current and future power plants and substations, including software, complexity, human error, data, and maintenance Modularity, reliability, and explainability of Large-Scale Foundation models Transformer-based Deep Neural Networks, covering Attention Mechanisms, Positional Encoding, and input-output data embedding Graph-based approaches to prognostics of complex machinery with sparse Run-to-Failure data, covering diagnostics feature extraction and graph dataset generation Prognostics and Health Management in Energy and Power Systems is an essential forward-thinking reference for engineers and researchers working in the energy sector with an interest in AI techniques and Machine Learning.
- Hardcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 193.58
£ 27.49 shippingShips from Australia to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. Key insights and practical guidance on transitioning to clean energy while meeting increasing energy demands, covering AI developments and more Prognostics and Health Management in Energy and Power Systems explores two highly topical subjects, energy transition and the latest advances in Art…ificial Intelligence, and provides insights and practical guidance for a smooth transition to clean, low-carbon energy while simultaneously continuing to meet the ever-increasing demand for energy. The first part of this book is completely devoted to the challenges, trends, and Asset Management requirements for the energy transition and explains why the energy system of the future must be resilient, autonomous, anticipatory, and situation-aware. The second part of the book presents key developments in recent years and shows the gradual shift from a collection of monolithic architectures for narrow, singular tasks to a set of modular, reconfigurable architectures capable of handling different types of tasks. An industrial case study is illustrated in the third part of the book, showing that Large-Scale Foundation models represent a promising technique to support the Prognostics and Health Management of the energy system. This book includes information on: Key differences between reliability and resilience, covering Low-Impact, High-Probability events and High-Impact, Low-Frequency events Important factors in the operation of current and future power plants and substations, including software, complexity, human error, data, and maintenance Modularity, reliability, and explainability of Large-Scale Foundation models Transformer-based Deep Neural Networks, covering Attention Mechanisms, Positional Encoding, and input-output data embedding Graph-based approaches to prognostics of complex machinery with sparse Run-to-Failure data, covering diagnostics feature extraction and graph dataset generation Prognostics and Health Management in Energy and Power Systems is an essential forward-thinking reference for engineers and researchers working in the energy sector with an interest in AI techniques and Machine Learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
