Author: Ambika Nagaraj

COVID 19 – Monitoring with IoT Devices

eBook: US $49 Special Offer (PDF + Printed Copy): US $95
Printed Copy: US $70
Library License: US $196
ISBN: 978-981-5179-46-0 (Print)
ISBN: 978-981-5179-45-3 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151794531230101

Introduction

In the battle against the COVID-19 pandemic, the integration of Internet of Things (IoT) technologies has played a pivotal role in reshaping public health and healthcare delivery. Interconnected devices have demonstrated their capacity to collect, transmit, and analyze data, significantly impacting various aspects of pandemic management.

COVID-19 – Monitoring with IoT Devices is a comprehensive guide to measuring the impact of COVID-19 infection and monitoring outbreak metrics. Beginning with an introduction to SARS-CoV-2 and its symptoms, the book presents chapters on machine learning (supervised and unsupervised algorithms) and techniques to predict COVID-19 outcomes. The book concludes with the role of IoT technology in detecting COVID-19 infections within a community, showcasing different computing models applicable to specific use-cases.

Key Features:

  • - Explores the pivotal role of IoT technology in the fight against the COVID-19 pandemic.
  • - Covers a data-driven approach to COVID-19 monitoring by explaining methods for data collection, prediction, and analysis.
  • - Includes specific recommendations for machine learning algorithms designed for COVID-19 monitoring.
  • - Easy-to-read structured chapters suitable for novices in computer science and biomedical engineering.

COVID-19 – Monitoring with IoT Devices provides a valuable resource for understanding the role of IoT technology in managing and mitigating the impact of COVID-19, and developing adequate infection control policies. It also showcases the potential of IoT for future research and applications in the healthcare sector. This book is intended for a diverse readership, including academicians, industry professionals, researchers, and healthcare practitioners.

Readership:

Academicians; Industrialists; researchers, healthcare professionals.

Foreword I

- Pp. i
Manoj Devare
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Foreword II

- Pp. ii
Jyotir Moy Chatterjee
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Preface

- Pp. iii
Ambika Nagaraj*
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COVID -19

- Pp. 1-22 (22)
Ambika Nagaraj*

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Supervised Learning Algorithms

- Pp. 23-75 (53)
Ambika Nagaraj*

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Semi-Supervised Algorithms

- Pp. 76-108 (33)
Ambika Nagaraj*

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Unsupervised Algorithms

- Pp. 109-128 (20)
Ambika Nagaraj*

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Role of Internet-of-Things During Covid-19

- Pp. 129-213 (85)
Ambika Nagaraj*

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Subject Index

- Pp. 214-218 (5)
Ambika Nagaraj*
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