Sarwar hassan (35 risultati)

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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Scotland's Lascar Heritage
Isobel McDonald; Malini Chakrabarty; Emily Malcolm; David Featherstone; Emily Munro; Hasaam Latif; Derek Law; Kulsum Shabbir; Sarwar Hassan; Tareq Abdullah; Aqsa Arif; Aaron Jaffer
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 9,92
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 72 pages. 9.80x8.31x0.39 inches. In Stock.

Scotland's Lascar Heritage
Isobel McDonald; Malini Chakrabarty; Emily Malcolm; David Featherstone; Emily Munro; Hasaam Latif; Derek Law; Kulsum Shabbir; Sarwar Hassan; Tareq Abdullah; Aqsa Arif; Aaron Jaffer
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 22,46
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Condizione: New.

Scotland's Lascar Heritage
Isobel McDonald; Malini Chakrabarty; Emily Malcolm; David Featherstone; Emily Munro; Hasaam Latif; Derek Law; Kulsum Shabbir; Sarwar Hassan; Tareq Abdullah; Aqsa Arif; Aaron Jaffer
- Brossura
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 15,46
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 10,28
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Bioactive-loaded Nanomedicine for the Management of Health and Disease
Rahman, Mahfoozur (EDT); Beg, Sarwar (EDT); Alharbi, Khalid S. (EDT); Almalki, Waleed Hassan (EDT); Alruwaili, Nabil K. (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Bioactive-loaded Nanomedicine for the Management of Health and Disease
Rahman, Mahfoozur (EDT); Beg, Sarwar (EDT); Alharbi, Khalid S. (EDT); Almalki, Waleed Hassan (EDT); Alruwaili, Nabil K. (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Bioactive-loaded Nanomedicine for the Management of Health and Disease
Rahman, Mahfoozur (EDT); Beg, Sarwar (EDT); Alharbi, Khalid S. (EDT); Almalki, Waleed Hassan (EDT); Alruwaili, Nabil K. (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st edition NO-PA16APR2015-KAP.

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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Bioactive-loaded Nanomedicine for the Management of Health and Disease
Rahman, Mahfoozur (EDT); Beg, Sarwar (EDT); Alharbi, Khalid S. (EDT); Almalki, Waleed Hassan (EDT); Alruwaili, Nabil K. (EDT)
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 189,33
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Condizione: New.

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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Da: California Books, Miami, FL, U.S.A.California Books
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 245,34
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Paperback. Condizione: New.

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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 213,99
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Sustainable AI Techniques for Real-Time Risk Monitoring offers a comprehensive examination of energy-efficient artificial intelligence approaches for hazard detection in smart environments. The book begins by identifying the limitations of traditional AI… models particularly their high computational and energy demands and introduces the concept of Green AI as a sustainable alternative. It systematically presents key methodologies, including lightweight deep learning architectures, model optimization techniques, and the integration of edge and fog computing. In addition, it explores advanced paradigms such as federated learning and bio-inspired computing to enable scalable and resource-efficient real-time monitoring systems.The book further elaborates on practical applications across diverse domains, including fire hazard detection, industrial safety, environmental monitoring, and smart healthcare systems. It also examines how secure and decentralized technologies such as blockchain enhance the reliability of IoT-based hazard detection frameworks. The concluding section outlines future research directions, emphasizing renewable-powered IoT infrastructures and the ethical, legal, and societal implications of Green AI.Overall, this book serves as a valuable resource for academics, researchers, and practitioners striving to develop sustainable, reliable, and energy-conscious intelligent safety systems.
Altre immagini- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 231,62
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Paperback. Condizione: New.

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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Condizione: Brand New. In Stock.

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- Print on Demand
Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.

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- Print on Demand
Da: moluna, Greven, Germaniamoluna
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EUR 156,11
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mahfoozur Rahman, PhD, is Assistant Professor at the Department of Pharmaceutical Sciences at Sam Higginbottom University of Agriculture, Technology & Sciences, India. His research focuses on development and chara…cterization of nanos.

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- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 197,01
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Condizione: New. PRINT ON DEMAND.

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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 213,99
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sustainable AI Techniques for Real-Time Risk Monitoring offers a comprehensive examination of energy-efficient artificial intelligence approaches for hazard detection in smart environments. The book begins by identifying the limitations o…f traditional AI models particularly their high computational and energy demands and introduces the concept of Green AI as a sustainable alternative. It systematically presents key methodologies, including lightweight deep learning architectures, model optimization techniques, and the integration of edge and fog computing. In addition, it explores advanced paradigms such as federated learning and bio-inspired computing to enable scalable and resource-efficient real-time monitoring systems.The book further elaborates on practical applications across diverse domains, including fire hazard detection, industrial safety, environmental monitoring, and smart healthcare systems. It also examines how secure and decentralized technologies such as blockchain enhance the reliability of IoT-based hazard detection frameworks. The concluding section outlines future research directions, emphasizing renewable-powered IoT infrastructures and the ethical, legal, and societal implications of Green AI.Overall, this book serves as a valuable resource for academics, researchers, and practitioners striving to develop sustainable, reliable, and energy-conscious intelligent safety systems. 341 pp. Englisch.

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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 246,43
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Paperback. Condizione: new. Paperback. In a world where data never stops moving, the ability to act on information in real time has become a defining advantage. Financial systems must detect fraud the instant it happens, healthcare platforms must monitor patients continuously, and supply chains must adapt to disruptions as they…unfold. Success no longer depends only on collecting data, it depends on transforming it into actionable intelligence in milliseconds. Artificial intelligence (AI) bridges this gap. By embedding AI inference into real-time data pipelines, organizations can move from reacting to events to anticipating them, making decisions that are faster, smarter, and more reliable. Harnessing AI Inference for Intelligent Decision-Making in Real-Time Dataflows examines how AI inference can be seamlessly embedded into real-time dataflows to enable faster, smarter, and more responsible decision-making. This book bridges theoretical advancements, emerging technologies, and real-world use cases, providing a roadmap for designing and managing AI-driven systems that operate at the edge of speed, scale, and responsibility. Covering topics such as smart cities, federated learning, and the internet of things (IoT), this book is an excellent resource for graduate and doctoral students, researchers, engineers, developers, system architects, business leaders, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 212,53
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Paperback. Condizione: new. Paperback. In a world where data never stops moving, the ability to act on information in real time has become a defining advantage. Financial systems must detect fraud the instant it happens, healthcare platforms must monitor patients continuously, and supply chains must adapt to disruptions as they…unfold. Success no longer depends only on collecting data, it depends on transforming it into actionable intelligence in milliseconds. Artificial intelligence (AI) bridges this gap. By embedding AI inference into real-time data pipelines, organizations can move from reacting to events to anticipating them, making decisions that are faster, smarter, and more reliable. Harnessing AI Inference for Intelligent Decision-Making in Real-Time Dataflows examines how AI inference can be seamlessly embedded into real-time dataflows to enable faster, smarter, and more responsible decision-making. This book bridges theoretical advancements, emerging technologies, and real-world use cases, providing a roadmap for designing and managing AI-driven systems that operate at the edge of speed, scale, and responsibility. Covering topics such as smart cities, federated learning, and the internet of things (IoT), this book is an excellent resource for graduate and doctoral students, researchers, engineers, developers, system architects, business leaders, policymakers, 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.

- Rilegato
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 289,43
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Hardcover. Condizione: new. Hardcover. In a world where data never stops moving, the ability to act on information in real time has become a defining advantage. Financial systems must detect fraud the instant it happens, healthcare platforms must monitor patients continuously, and supply chains must adapt to disruptions as they…unfold. Success no longer depends only on collecting data, it depends on transforming it into actionable intelligence in milliseconds. Artificial intelligence (AI) bridges this gap. By embedding AI inference into real-time data pipelines, organizations can move from reacting to events to anticipating them, making decisions that are faster, smarter, and more reliable. Harnessing AI Inference for Intelligent Decision-Making in Real-Time Dataflows examines how AI inference can be seamlessly embedded into real-time dataflows to enable faster, smarter, and more responsible decision-making. This book bridges theoretical advancements, emerging technologies, and real-world use cases, providing a roadmap for designing and managing AI-driven systems that operate at the edge of speed, scale, and responsibility. Covering topics such as smart cities, federated learning, and the internet of things (IoT), this book is an excellent resource for graduate and doctoral students, researchers, engineers, developers, system architects, business leaders, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Rilegato
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 251,89
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Hardcover. Condizione: new. Hardcover. 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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- Print on Demand
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 278,04
EUR 32,34 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. In a world where data never stops moving, the ability to act on information in real time has become a defining advantage. Financial systems must detect fraud the instant it happens, healthcare platforms must monitor patients continuously, and supply chains must adapt to disruptions as they…unfold. Success no longer depends only on collecting data, it depends on transforming it into actionable intelligence in milliseconds. Artificial intelligence (AI) bridges this gap. By embedding AI inference into real-time data pipelines, organizations can move from reacting to events to anticipating them, making decisions that are faster, smarter, and more reliable. Harnessing AI Inference for Intelligent Decision-Making in Real-Time Dataflows examines how AI inference can be seamlessly embedded into real-time dataflows to enable faster, smarter, and more responsible decision-making. This book bridges theoretical advancements, emerging technologies, and real-world use cases, providing a roadmap for designing and managing AI-driven systems that operate at the edge of speed, scale, and responsibility. Covering topics such as smart cities, federated learning, and the internet of things (IoT), this book is an excellent resource for graduate and doctoral students, researchers, engineers, developers, system architects, business leaders, policymakers, and more. 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.