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Energy efficiency of medical devices...
~
Mohamed, Amr.
Energy efficiency of medical devices and healthcare applications
Record Type:
Electronic resources : Monograph/item
Title/Author:
Energy efficiency of medical devices and healthcare applicationsedited by Amr Mohamed.
other author:
Mohamed, Amr.
Published:
London :Academic Press,2020.
Description:
1 online resource (xiii, 170 p.) :ill. (some col.)
Subject:
Medical instruments and apparatusEnergy consumption.
Online resource:
https://www.sciencedirect.com/science/book/9780128190456
ISBN:
9780128190463 (electronic bk.)
Energy efficiency of medical devices and healthcare applications
Energy efficiency of medical devices and healthcare applications
[electronic resource] /edited by Amr Mohamed. - London :Academic Press,2020. - 1 online resource (xiii, 170 p.) :ill. (some col.)
Includes bibliographical references and index.
AI-based techniques on edge devices to optimize energy efficiency in m-Health applications -- Applying an efficient evolutionary algorithm for EEG signal feature selection and classification in decision-based systems -- Edge computing for energy-efficient smart health systems : data and application-specific approaches -- Energy-efficient EEG monitoring systems for wireless epileptic seizure detection -- Intelligent energy-aware decision-making at the edge in healthcare using fog infrastructure -- Deep learning-based security schemes for implantable medical devices -- Secure medical treatment with deep learning on embedded board -- Blockchain applications for healthcare.
ISBN: 9780128190463 (electronic bk.)Subjects--Topical Terms:
896386
Medical instruments and apparatus
--Energy consumption.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: R856
Dewey Class. No.: 610.28/4
Energy efficiency of medical devices and healthcare applications
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edited by Amr Mohamed.
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2020.
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1 online resource (xiii, 170 p.) :
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ill. (some col.)
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Includes bibliographical references and index.
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AI-based techniques on edge devices to optimize energy efficiency in m-Health applications -- Applying an efficient evolutionary algorithm for EEG signal feature selection and classification in decision-based systems -- Edge computing for energy-efficient smart health systems : data and application-specific approaches -- Energy-efficient EEG monitoring systems for wireless epileptic seizure detection -- Intelligent energy-aware decision-making at the edge in healthcare using fog infrastructure -- Deep learning-based security schemes for implantable medical devices -- Secure medical treatment with deep learning on embedded board -- Blockchain applications for healthcare.
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Energy consumption.
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Health facilities
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Energy consumption.
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Equipment and Supplies.
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Mohamed, Amr.
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https://www.sciencedirect.com/science/book/9780128190456
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1
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電子館藏
1圖書
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EB R856 2020
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in cat dept.
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1 records • Pages 1 •
1
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https://www.sciencedirect.com/science/book/9780128190456
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