COVID 19 – Monitoring with IoT Devices

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Author :
Publisher : Bentham Science Publishers
ISBN 13 : 9815179462
Total Pages : 229 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis COVID 19 – Monitoring with IoT Devices by : Ambika Nagaraj

Download or read book COVID 19 – Monitoring with IoT Devices written by Ambika Nagaraj and published by Bentham Science Publishers. This book was released on 2023-11-23 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

COVID 19 - Monitoring with IoT Devices

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Author :
Publisher : Bentham Science Publishers
ISBN 13 : 9789815179477
Total Pages : 0 pages
Book Rating : 4.1/5 (794 download)

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Book Synopsis COVID 19 - Monitoring with IoT Devices by : Ambika Nagaraj

Download or read book COVID 19 - Monitoring with IoT Devices written by Ambika Nagaraj and published by Bentham Science Publishers. This book was released on 2023-11-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Internet of Things and Sensor Network for COVID-19

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Author :
Publisher : Springer Nature
ISBN 13 : 9811576548
Total Pages : 101 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Internet of Things and Sensor Network for COVID-19 by : Siba Kumar Udgata

Download or read book Internet of Things and Sensor Network for COVID-19 written by Siba Kumar Udgata and published by Springer Nature. This book was released on 2020-07-22 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines various models/solutions in areas, such as individuals, home, work and society, where IoT and AI are being utilized to mitigate the Covid-19 pandemic. The world is battling with the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to help people to face the challenges. During this crisis, numerous innovative ideas and solutions have been proposed for using the Internet of things (IoT), sensor networks, and artificial intelligence (AI) to monitor the wellbeing of individuals. Nations are using all available assets to help develop cutting-edge innovations to relieve the impacts of Covid-19 and profile individuals in danger. The advances in IoT frameworks and sensor technologies together with AI are invaluable in the context of this pandemic, and nations and various entities around the globe are discovering innovative solutions to maintain businesses and help people live alongside Covid-19. This book presents the advances in sensor technologies, IoT frameworks, and explores how these technologies are being used to deal with the issues arising from Covid-19, including work in progress and potential applications.

Smart Health Technologies for the COVID-19 Pandemic

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Author :
Publisher : IET
ISBN 13 : 1839535180
Total Pages : 477 pages
Book Rating : 4.8/5 (395 download)

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Book Synopsis Smart Health Technologies for the COVID-19 Pandemic by : Chinmay Chakraborty

Download or read book Smart Health Technologies for the COVID-19 Pandemic written by Chinmay Chakraborty and published by IET. This book was released on 2022-06-27 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book looks at the role technology has played to monitor, map and fight the COVID-19 global pandemic. The vital role that intelligent advanced healthcare informatics has played during this crucial time are explored, as well as e-healthcare, telemedicine, and life support systems.

Internet of Medical Things in Smart Healthcare

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Author :
Publisher : CRC Press
ISBN 13 : 1000839508
Total Pages : 256 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Internet of Medical Things in Smart Healthcare by : Saravanan Krishnan

Download or read book Internet of Medical Things in Smart Healthcare written by Saravanan Krishnan and published by CRC Press. This book was released on 2023-12-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 epidemic has helped to expand the function of the Internet of Medical Things in healthcare at an exponential rate. This book offers a comprehensive exploration of IoMT in the post-COVID-19 era, providing an overview of modern technologies used for the improvement of healthcare, such as IoT, artificial intelligence, robotics, big data, and wearable devices used in healthcare applications, with a focus on the detection and treatment of COVID-19 and related viruses. The volume presents the principles, state-of-the-art developments, architecture, real-world applications, actual case studies, results of IoMT experiments and sensor-based systems, and more. The chapters look at various aspects of artificial intelligence in IoMT-based telemedicine, health monitoring, early COVID detection, automatic intravenous fluids feeds, chest x-ray images, data collection for decision-making, security of health information, and more. This volume provides an understanding of the real applications, development of healthcare systems, architectural frameworks, and modern design elements of healthcare systems.

IoT Applications for Healthcare Systems

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Author :
Publisher : Springer Nature
ISBN 13 : 3030910962
Total Pages : 161 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis IoT Applications for Healthcare Systems by : Rahul K. Kher

Download or read book IoT Applications for Healthcare Systems written by Rahul K. Kher and published by Springer Nature. This book was released on 2022-04-19 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses communications technologies used in the field of healthcare, including IoT, soft computing, machine learning, big data, augmented reality, and wearable sensors. The book presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of this technology. The book also helps researchers and practitioners to understand and analyze the e-healthcare architecture through IoT and the state-of-the-art in IoT countermeasures with real-time challenges. Topics of interest include healthcare systems based on advanced development boards, mobile health parameters recording and monitoring systems, remote health / patient monitoring, hospital operations management, abnormality / disease detection by IoT devices, and efficient drug management. The book is relevant to a range of researchers, academics, and practitioners working on the intersection of IoT and healthcare.

COVID-19 PANDEMIC: Monitoring Technologies, Healthcare and Panic buying behaviour

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Author :
Publisher : White Falcon Publishing
ISBN 13 : 9389932378
Total Pages : 35 pages
Book Rating : 4.3/5 (899 download)

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Book Synopsis COVID-19 PANDEMIC: Monitoring Technologies, Healthcare and Panic buying behaviour by : Dr. Safaa Najah Saud Al-Humairi

Download or read book COVID-19 PANDEMIC: Monitoring Technologies, Healthcare and Panic buying behaviour written by Dr. Safaa Najah Saud Al-Humairi and published by White Falcon Publishing. This book was released on 2020-06-30 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVID-19 is an infectious disease that has become the biggest threat in the year 2020 so far. It has dramatically changed the human life and the world economy. The world has traumatized by the terrifying effect of this virus. Not only the underdeveloped countries but also the most developed countries across the world, USA, Italy, Spain, Germany, to name of few, have witnessed the devastating effect of this lethal virus. Therefore, understanding the risk and management of this group of people is important for effective intervention and reducing the number of cases and fatality. In spite of this, COVID-19 imposes a heavy burden and costs on the health sector, and consequently, providing continuous monitoring by modern technologies will lead to a reduction of health costs and improve control of people's health practices, management, and prevention of this pandemic. Employing the mobile and advanced health systems to offer a remote medical diagnosis and monitoring system will significantly reduce the cost of health care and appropriate management of performance, especially in managing and spreading COVID-19. This book explores the effect of COVID-19 on human health in three essential cores: medically, technologically, and economically. The Internet of Things (IoT) and Artificial Intelligence (AI) includes three principal methods: monitoring, diagnosis, and treatment were discussed. IoT could achieve long-term connectivity between hospitals, patients, and healthcare equipment by integrating sensors, information technology, artificial intelligence, and innovative networking devices, which could significantly enhance current medical conditions. This book also provides a theoretical comparison between normal buying behaviour and panic buying behaviour. Subsequently, it explains the reasons for this behaviour. Not only reasons, but the book also classified products based on this consumer buying pattern during this pandemic. The book ends with a case study on the implementation of the AI algorithms in Malaysia and the achieved results were presented accordingly with a remarkable conclusion.

Advances on P2P, Parallel, Grid, Cloud and Internet Computing

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Publisher : Springer Nature
ISBN 13 : 3030898997
Total Pages : 342 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances on P2P, Parallel, Grid, Cloud and Internet Computing by : Leonard Barolli

Download or read book Advances on P2P, Parallel, Grid, Cloud and Internet Computing written by Leonard Barolli and published by Springer Nature. This book was released on 2021-10-19 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to P2P, grid, cloud and Internet computing as well as to reveal synergies among such large-scale computing paradigms. P2P, grid, cloud and Internet computing technologies have been very fast established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale. Grid computing originated as a paradigm for high performance computing, as an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P computing emerged as a new paradigm after client-server and web-based computing and has shown useful to the development of social networking, Business to Business (B2B), Business to Consumer (B2C), Business to Government (B2G), Business to Employee (B2E) and so on. Cloud computing has been defined as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits.” Cloud computing has fast become the computing paradigm with applicability and adoption in all application domains and providing utility computing at large scale. Finally, Internet computing is the basis of any large-scale distributed computing paradigms; it has very fast developed into a vast area of flourishing field with enormous impact on today’s information societies serving thus as a universal platform comprising a large variety of computing forms such as grid, P2P, cloud and mobile computing.

The Role of AI, IoT and Blockchain in Mitigating the Impact of COVID-19

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Author :
Publisher : Bentham Science Publishers
ISBN 13 : 9815080660
Total Pages : 217 pages
Book Rating : 4.8/5 (15 download)

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Book Synopsis The Role of AI, IoT and Blockchain in Mitigating the Impact of COVID-19 by : S. Vijayalakshmi

Download or read book The Role of AI, IoT and Blockchain in Mitigating the Impact of COVID-19 written by S. Vijayalakshmi and published by Bentham Science Publishers. This book was released on 2023-11-07 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the wake of the global COVID-19 pandemic, humanity faced unprecedented challenges that necessitated innovative technological solutions. The Role of AI, IoT, and Blockchain in Mitigating the Impact of COVID-19 explores the transformative influence of Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain technologies in combating the pandemic's effects. Key themes: Technological Pandemic Response: This book delves into how technology played a pivotal role in enabling social distancing, remote monitoring, contact minimization, telecommuting, online education, virus analysis, and predictive modeling, effectively aiding the fight against the coronavirus. Data Precision: Accurate and reliable data are essential for tracking virus spread. The book demonstrates how AI, IoT, and Blockchain can establish digital databases that ensure data accuracy, accessibility, and real-time monitoring, addressing the challenges faced by public healthcare systems. Innovative Applications: Chapters in this book cover a wide array of applications, from AI-driven models for COVID-19 analysis and prediction to the use of 3D printing technologies, IoT tools for virus control, and the impact of AI and IoT in healthcare. It also explores the role of social media in promoting social distancing. Advanced AI Techniques: Readers gain insights into cutting-edge AI techniques applied to COVID-19 in areas such as treatment, diagnosis, prognosis, chest X-ray and CT analysis, pandemic prediction, and pharmaceutical research. Industry 4.0: The book discusses Industry 4.0 technologies and their contribution to sustainable manufacturing, efficient management strategies, and their response to the challenges posed by the pandemic. Contributed by a distinguished panel of national and international researchers, with multidisciplinary backgrounds specializing in Artificial Intelligence, biomedical engineering, machine learning, and healthcare technology, public health and industrial automation. Each contribution includes derailed references to encourage scholarly research. This book serves as a valuable resource for academic and professional readers seeking to understand how modern computing technology has been harnessed to address the unique challenges posed by the COVID-19 pandemic. It offers insights into technological innovations and their potential for the betterment of society, especially in times of crisis. Readers will be introduced to computing techniques and methods to measure and monitor the impacts of medical emergencies similar to viral outbreaks and implement the necessary infection control protocols.

Internet of Medical Things for Smart Healthcare

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Author :
Publisher : Springer Nature
ISBN 13 : 9811580979
Total Pages : 312 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Internet of Medical Things for Smart Healthcare by : Chinmay Chakraborty

Download or read book Internet of Medical Things for Smart Healthcare written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2020-11-09 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among other topics. The book covers comprehensive studies from bioelectronics and biomedical engineering, artificial intelligence, and big data with a prime focus on COVID-19 pandemic.

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

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Publisher : Springer Nature
ISBN 13 : 9811585342
Total Pages : 436 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis by : Khalid Raza

Download or read book Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis written by Khalid Raza and published by Springer Nature. This book was released on 2020-10-16 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

The Global Environmental Effects During and Beyond COVID-19

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Author :
Publisher : Springer Nature
ISBN 13 : 3030729338
Total Pages : 178 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis The Global Environmental Effects During and Beyond COVID-19 by : Aboul Ella Hassanien

Download or read book The Global Environmental Effects During and Beyond COVID-19 written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2021-05-16 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims through 11 chapters discussing the problems and challenges and some future research points from the recent technologies point of view such as artificial intelligence and the Internet of things (IoT) that can help the environment and healthcare sectors reducing COVID-19.

Computational Intelligence for COVID-19 and Future Pandemics

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Publisher : Springer Nature
ISBN 13 : 9811637830
Total Pages : 435 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Intelligence for COVID-19 and Future Pandemics by : Utku Kose

Download or read book Computational Intelligence for COVID-19 and Future Pandemics written by Utku Kose and published by Springer Nature. This book was released on 2022-01-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.

Machine Learning for Critical Internet of Medical Things

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Publisher : Springer Nature
ISBN 13 : 3030809285
Total Pages : 267 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning for Critical Internet of Medical Things by : Fadi Al-Turjman

Download or read book Machine Learning for Critical Internet of Medical Things written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2022-02-03 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

Big data analytics for smart healthcare applications

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832515754
Total Pages : 1365 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Big data analytics for smart healthcare applications by : Celestine Iwendi

Download or read book Big data analytics for smart healthcare applications written by Celestine Iwendi and published by Frontiers Media SA. This book was released on 2023-04-17 with total page 1365 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pandemic Detection and Analysis Through Smart Computing Technologies

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Author :
Publisher : CRC Press
ISBN 13 : 1000571920
Total Pages : 317 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Pandemic Detection and Analysis Through Smart Computing Technologies by : Ram Shringar Raw

Download or read book Pandemic Detection and Analysis Through Smart Computing Technologies written by Ram Shringar Raw and published by CRC Press. This book was released on 2022-07-07 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This powerful new volume explores the diverse and sometimes unexpected roles that IoT and AI technologies played during the recent COVID-19 global pandemic. The book discusses the how existing and new state-of-the art technology has been and can be applied for global health crises in a multitude of ways. The chapters in Pandemic Detection and Analysis through Smart Computing Technologies look at exciting technological solutions for virus detection, prediction, classification, prevention, and communication outreach. The book considers the various modes of transmission of the virus as well as how technology has been implemented for personalized healthcare systems and how it can be used for future pandemics. The huge importance of social and mobile communication and networks during the pandemic is addressed such as in business, education, and healthcare; in research and development; for health information and outreach; in social life; and more. A chapter also addresses using smart computing for forecasting the damage caused by COVID-19 using time series analyses. This up-to-the-minute volume illuminates on the many ways AI, IoT, machine learning, and other technologies have important roles in the diverse challenges faced during COVID-19 and how they can be enhanced for future pandemic situations. The volume will be of high interest to those in different fields of computer science and other domains as well as to data scientists, government agencies and policymakers, doctors and healthcare professionals, engineers, economists, and many other professionals. This book will also be very helpful to faculty, students, and research scholars in understanding the pre- and post-effect of this pandemic.

Articles in ITJEMAST @ 12(13)2021

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Author :
Publisher : International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
ISBN 13 :
Total Pages : 309 pages
Book Rating : 4./5 ( download)

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Book Synopsis Articles in ITJEMAST @ 12(13)2021 by :

Download or read book Articles in ITJEMAST @ 12(13)2021 written by and published by International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies. This book was released on 2021-11-05 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published Papers from tuengr.com