Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 138,96
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 147,55
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In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 162,36
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In den WarenkorbHardcover. Zustand: Brand New. 302 pages. 9.49x5.98x0.94 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 182,66
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In den WarenkorbHardcover. Zustand: Brand New. 256 pages. 9.19x6.13x0.70 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 219,67
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In den WarenkorbHardcover. Zustand: Brand New. 302 pages. 9.49x5.98x0.94 inches. In Stock.
Anbieter: moluna, Greven, Deutschland
EUR 235,41
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In den WarenkorbGebunden. Zustand: New. Kavita Sharma, PhD is an associate professor in the Department of CSE at Galgotias College of Engineering and Technology, Greater Noida, India. She has 4 patents (2 Granted and 2 published), published 6 books and 50 research articles in international journa.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 237,76
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In den WarenkorbBuch. Zustand: Neu. Neuware - INTERNET OF HEALTHCARE THINGSThe book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making.The main objective of this book is to motivate healthcare providers to use telemedicine facilities for monitoring patients in urban and rural areas and gather clinical data for further research. To this end, it provides an overview of the Internet of Healthcare Things (IoHT) and discusses one of the major threats posed by it, which is the data security and data privacy of health records. Another major threat is the combination of numerous devices and protocols, precision time, data overloading, etc. In the IoHT, multiple devices are connected and communicate through certain protocols. Therefore, the application of emerging technologies to mitigate these threats and provide secure data communication over the network is discussed. This book also discusses the integration of machine learning with the IoHT for analyzing huge amounts of data for predicting diseases more accurately. Case studies are also given to verify the concepts presented in the book.AudienceResearchers and industry engineers in computer science, artificial intelligence, healthcare sector, IT professionals, network administrators, cybersecurity experts.