Ng Khai Mun (24 results)

- Softcover
Seller: Speedyhen, Hertfordshire, United KingdomSpeedyhen
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£ 177.23
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Condition: NEW.

- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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£ 232.51
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Paperback. Condition: New.

- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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£ 214.73
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Paperback. Condition: New.

- Softcover
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Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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£ 183.07
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Softcover
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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£ 194.92
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Softcover
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Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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£ 187.04
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Softcover
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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£ 199.21
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Hardcover
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Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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£ 214.84
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HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Hardcover
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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£ 229.07
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Hardcover
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Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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£ 218.81
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HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Softcover
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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£ 231.67
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Paperback. Condition: new. Paperback. In the era of data-driven healthcare, the ability to gather insights from diverse data sources is critical for advancing precision medicine and improving patient outcomes. However, concerns around data privacy and security compliance often hinder the analysis of sensitive health information.… Federated Learning offers a great solution by enabling collaborative health intelligence across institutions without requiring data to leave local environments. By training machine learning models on decentralized data while preserving confidentiality, federated learning empowers healthcare stakeholders to build robust and generalizable models. Enabling Collaborative Health Intelligence With Federated Learning explores the confluence of federated learning and artificial intelligence as a blueprint for the future of medical care. This book bridges the gap between cutting-edge technological developments in federated learning and the pressing needs of AI-driven medical care. Covering topics such as health intelligence, data analysis, and data security, this book is an excellent resource for academics, healthcare practitioners, policy makers, industry leaders, and graduate students. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Hardcover
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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£ 233.38
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Softcover
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Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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£ 191.49
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Paperback. Condition: new. Paperback. The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategies enhance diagnostics, treatment planning, and patient…monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not only improves patient outcomes but also supports more efficient use of healthcare resources. As AI becomes more embedded in clinical practice, it plays a critical role in transforming healthcare into a more data-driven, adaptive, and patient-centered system. Applied AI and Computational Intelligence in Diagnostics and Decision-Making explores the fusion of reinforcement learning, particularly DQNs, with computational intelligence to enhance decision-making in healthcare. It delves into AI-driven diagnostics, personalized treatment plans, and real-time monitoring, leveraging deep learning and IoT integration. Covering topics such as artificial intelligence, neural networks, and remote patient monitoring, this book is an excellent resource for AI researchers, data scientists, machine learning engineers, computational intelligence specialists, medical professionals, radiologists, clinicians, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 195.99
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Paperback. Condition: new. Paperback. In the era of data-driven healthcare, the ability to gather insights from diverse data sources is critical for advancing precision medicine and improving patient outcomes. However, concerns around data privacy and security compliance often hinder the analysis of sensitive health information.… Federated Learning offers a great solution by enabling collaborative health intelligence across institutions without requiring data to leave local environments. By training machine learning models on decentralized data while preserving confidentiality, federated learning empowers healthcare stakeholders to build robust and generalizable models. Enabling Collaborative Health Intelligence With Federated Learning explores the confluence of federated learning and artificial intelligence as a blueprint for the future of medical care. This book bridges the gap between cutting-edge technological developments in federated learning and the pressing needs of AI-driven medical care. Covering topics such as health intelligence, data analysis, and data security, this book is an excellent resource for academics, healthcare practitioners, policy makers, industry leaders, and graduate students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 224.49
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategies enhance diagnostics, treatment planning, and patient…monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not only improves patient outcomes but also supports more efficient use of healthcare resources. As AI becomes more embedded in clinical practice, it plays a critical role in transforming healthcare into a more data-driven, adaptive, and patient-centered system. Applied AI and Computational Intelligence in Diagnostics and Decision-Making explores the fusion of reinforcement learning, particularly DQNs, with computational intelligence to enhance decision-making in healthcare. It delves into AI-driven diagnostics, personalized treatment plans, and real-time monitoring, leveraging deep learning and IoT integration. Covering topics such as artificial intelligence, neural networks, and remote patient monitoring, this book is an excellent resource for AI researchers, data scientists, machine learning engineers, computational intelligence specialists, medical professionals, radiologists, clinicians, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

- Hardcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
£ 271.19
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Hardcover. Condition: new. Hardcover. In the era of data-driven healthcare, the ability to gather insights from diverse data sources is critical for advancing precision medicine and improving patient outcomes. However, concerns around data privacy and security compliance often hinder the analysis of sensitive health information.… Federated Learning offers a great solution by enabling collaborative health intelligence across institutions without requiring data to leave local environments. By training machine learning models on decentralized data while preserving confidentiality, federated learning empowers healthcare stakeholders to build robust and generalizable models. Enabling Collaborative Health Intelligence With Federated Learning explores the confluence of federated learning and artificial intelligence as a blueprint for the future of medical care. This book bridges the gap between cutting-edge technological developments in federated learning and the pressing needs of AI-driven medical care. Covering topics such as health intelligence, data analysis, and data security, this book is an excellent resource for academics, healthcare practitioners, policy makers, industry leaders, and graduate students. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 228.49
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. In the era of data-driven healthcare, the ability to gather insights from diverse data sources is critical for advancing precision medicine and improving patient outcomes. However, concerns around data privacy and security compliance often hinder the analysis of sensitive health information.… Federated Learning offers a great solution by enabling collaborative health intelligence across institutions without requiring data to leave local environments. By training machine learning models on decentralized data while preserving confidentiality, federated learning empowers healthcare stakeholders to build robust and generalizable models. Enabling Collaborative Health Intelligence With Federated Learning explores the confluence of federated learning and artificial intelligence as a blueprint for the future of medical care. This book bridges the gap between cutting-edge technological developments in federated learning and the pressing needs of AI-driven medical care. Covering topics such as health intelligence, data analysis, and data security, this book is an excellent resource for academics, healthcare practitioners, policy makers, industry leaders, and graduate students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

- Softcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 266.25
£ 27.51 shippingShips from Australia to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. In the era of data-driven healthcare, the ability to gather insights from diverse data sources is critical for advancing precision medicine and improving patient outcomes. However, concerns around data privacy and security compliance often hinder the analysis of sensitive health information.… Federated Learning offers a great solution by enabling collaborative health intelligence across institutions without requiring data to leave local environments. By training machine learning models on decentralized data while preserving confidentiality, federated learning empowers healthcare stakeholders to build robust and generalizable models. Enabling Collaborative Health Intelligence With Federated Learning explores the confluence of federated learning and artificial intelligence as a blueprint for the future of medical care. This book bridges the gap between cutting-edge technological developments in federated learning and the pressing needs of AI-driven medical care. Covering topics such as health intelligence, data analysis, and data security, this book is an excellent resource for academics, healthcare practitioners, policy makers, industry leaders, and graduate students. 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.

- Softcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
£ 250.50
£ 60.39 shippingShips from Germany to U.S.A.Quantity: 5 available
Taschenbuch. Condition: Neu. Applied AI and Computational Intelligence in Diagnostics and Decision-Making | Danish Ather (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337333120 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Dem…and.

- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 258.05
£ 55.90 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategie…s enhance diagnostics, treatment planning, and patient monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not only improves patient outcomes but also supports more efficient use of healthcare resources. As AI becomes more embedded in clinical practice, it plays a critical role in transforming healthcare into a more data-driven, adaptive, and patient-centered system. Applied AI and Computational Intelligence in Diagnostics and Decision-Making explores the fusion of reinforcement learning, particularly DQNs, with computational intelligence to enhance decision-making in healthcare. It delves into AI-driven diagnostics, personalized treatment plans, and real-time monitoring, leveraging deep learning and IoT integration. Covering topics such as artificial intelligence, neural networks, and remote patient monitoring, this book is an excellent resource for AI researchers, data scientists, machine learning engineers, computational intelligence specialists, medical professionals, radiologists, clinicians, and more.

- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 263.52
£ 56.06 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

- Hardcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 308.79
£ 27.51 shippingShips from Australia to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. In the era of data-driven healthcare, the ability to gather insights from diverse data sources is critical for advancing precision medicine and improving patient outcomes. However, concerns around data privacy and security compliance often hinder the analysis of sensitive health information.… Federated Learning offers a great solution by enabling collaborative health intelligence across institutions without requiring data to leave local environments. By training machine learning models on decentralized data while preserving confidentiality, federated learning empowers healthcare stakeholders to build robust and generalizable models. Enabling Collaborative Health Intelligence With Federated Learning explores the confluence of federated learning and artificial intelligence as a blueprint for the future of medical care. This book bridges the gap between cutting-edge technological developments in federated learning and the pressing needs of AI-driven medical care. Covering topics such as health intelligence, data analysis, and data security, this book is an excellent resource for academics, healthcare practitioners, policy makers, industry leaders, and graduate students. 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.

- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 307.18
£ 56.90 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the era of data-driven healthcare, the ability to gather insights from diverse data sources is critical for advancing precision medicine and improving patient outcomes. However, concerns around data privacy and security compliance often hind…er the analysis of sensitive health information. Federated Learning offers a great solution by enabling collaborative health intelligence across institutions without requiring data to leave local environments. By training machine learning models on decentralized data while preserving confidentiality, federated learning empowers healthcare stakeholders to build robust and generalizable models. Enabling Collaborative Health Intelligence With Federated Learning explores the confluence of federated learning and artificial intelligence as a blueprint for the future of medical care. This book bridges the gap between cutting-edge technological developments in federated learning and the pressing needs of AI-driven medical care. Covering topics such as health intelligence, data analysis, and data security, this book is an excellent resource for academics, healthcare practitioners, policy makers, industry leaders, and graduate students.

- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 350.11
£ 56.75 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategies enhan…ce diagnostics, treatment planning, and patient monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not only improves patient outcomes but also supports more efficient use of healthcare resources. As AI becomes more embedded in clinical practice, it plays a critical role in transforming healthcare into a more data-driven, adaptive, and patient-centered system. Applied AI and Computational Intelligence in Diagnostics and Decision-Making explores the fusion of reinforcement learning, particularly DQNs, with computational intelligence to enhance decision-making in healthcare. It delves into AI-driven diagnostics, personalized treatment plans, and real-time monitoring, leveraging deep learning and IoT integration. Covering topics such as artificial intelligence, neural networks, and remote patient monitoring, this book is an excellent resource for AI researchers, data scientists, machine learning engineers, computational intelligence specialists, medical professionals, radiologists, clinicians, and more.