Machine Learning Deep Human by Biswas Suparna (10 results)

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  • Language: English

    Published by Springer Nature Switzerland AG, Cham, 2026

    303209240X / 9783032092403

    • Hardcover

    Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    Hardcover. Condition: new. Hardcover. This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current HAR and FD technologies have application in disease monitoring, prediction and identification, as well real-time facilitating early diagnosis of symptom-based disease identification, prediction, and detection. The author discusses existing infrastructure that supports this ecosystem, comprising smartphones, WiFi, 3G/4G Internet connectivity, and low-cost wearable sensors for sustainable health monitoring and care. The book presents smart technologies such as machine learning, deep learning, and Internet of Things that are applied for sensor data analysis and knowledge extraction towards accurate identification of activities and fall events with pre-fall postures in real time. The author also shows how smart and seamless health monitoring and care ecosystem fits with traditional healthcare system for sustainable solutions.Presents smart technologies for sustainable health monitoring and care targeted for the elderly;Discusses techniques for privacy surrounding Human Activity Recognition (HAR) and Fall Detection (FD);Includes case studies, scenario-based studies, sponsored projects, prototypes and successful applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current HAR and FD technologies have application in disease monitoring, prediction and identification, as well real-time facilitating early diagnosis of symptom-based disease identification, prediction, and detection. The author discusses existing infrastructure that supports this ecosystem, comprising smartphones, WiFi, 3G/4G Internet connectivity, and low-cost wearable sensors for sustainable health monitoring and care. The book presents smart technologies such as machine learning, deep learning, and Internet of Things that are applied for sensor data analysis and knowledge extraction towards accurate identification of activities and fall events with pre-fall postures in real time. The author also shows how smart and seamless health monitoring and care ecosystem fits with traditional healthcare system for sustainable solutions.Presents smart technologies for sustainable health monitoring and care targeted for the elderly;Discusses techniques for privacy surrounding Human Activity Recognition (HAR) and Fall Detection (FD);Includes case studies, scenario-based studies, sponsored projects, prototypes and successful applications.…

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  • Language: English

    Published by Springer Nature, 2026

    303209240X / 9783032092403

    • Hardcover

    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Hardcover. Condition: Brand New. 150 pages. 9.25x6.10x9.49 inches. In Stock.

  • Language: English

    Published by Springer, 2026

    303209240X / 9783032092403

    • Hardcover
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    Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand

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  • Language: English

    Published by Springer-Verlag Gmbh Jan 2026, 2026

    303209240X / 9783032092403

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current HAR and FD technologies have application in disease monitoring, prediction and identification, as well real-time facilitating early diagnosis of symptom-based disease identification, prediction, and detection. The author discusses existing infrastructure that supports this ecosystem, comprising smartphones, WiFi, 3G/4G Internet connectivity, and low-cost wearable sensors for sustainable health monitoring and care. The book presents smart technologies such as machine learning, deep learning, and Internet of Things that are applied for sensor data analysis and knowledge extraction towards accurate identification of activities and fall events with pre-fall postures in real time. The author also shows how smart and seamless health monitoring and care ecosystem fits with traditional healthcare system for sustainable solutions.Presents smart technologies for sustainable health monitoring and care targeted for the elderly;Discusses techniques for privacy surrounding Human Activity Recognition (HAR) and Fall Detection (FD);Includes case studies, scenario-based studies, sponsored projects, prototypes and successful applications. 146 pp. Englisch.…

  • Language: English

    Published by Springer Verlag GmbH, 2026

    303209240X / 9783032092403

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    Seller: moluna, Greven, Germanymoluna

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

  • Language: English

    Published by Springer, Springer International Publishing Jan 2026, 2026

    303209240X / 9783032092403

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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Introduction.- Introduction to Human Activity Recognition, Fall Monitoring and Detection, Health monitoring.- Fundamental concepts.- Machine Learning in Human Activity Recognition using Smartphone Sensors.- Deep Learning in Human Activity Recognition using Smartphone Sensors.- Machine Learning in Fall Detection System.- Sensor Fusion based HAR for Disease Monitoring and Prediction.- Design, Development, Deployment Strategies.- Conclusion.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 168 pp. Englisch.…

  • Language: English

    Published by Springer, 2026

    303209240X / 9783032092403

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by Springer, 2026

    303209240X / 9783032092403

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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