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Emerging Technologies For Battling Covid 19
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Book Synopsis Emerging Technologies for Battling Covid-19 by : Fadi Al-Turjman
Download or read book Emerging Technologies for Battling Covid-19 written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2021-03-19 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents recent trends and solutions to help healthcare sectors and medical staff protect themselves and others and limit the spread of the COVID-19. The book also presents the problems and challenges researchers and academics face in tackling this monumental task. Topics include: Unmanned Aerial Vehicle (UAV) or drones that can be used to detect infected people in different areas; robots used in fighting the COVID-19 by protecting workers and staff dealing with infected people; blockchain technology that secures sensitive transactions in strict confidentiality. With contributions from experts from around the world, this book aims to help those creating and honing technology to help with this global threat.
Book Synopsis Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches by : Aboul Ella Hassanien
Download or read book Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2021-03-10 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is one of the first books that deal with the COVID-19 pandemic. COVID-19 pandemic has affected countries all over the world and has made a significant impact on daily life and healthcare facilities and treatment systems. The book covers the main recent emerging technologies that are related to the COVID-19 crisis. The technologies that are included in this book play a significant role in tackling COVID-19 in the future. The scope of this book is to cover all advanced emerging technologies and artificial intelligence techniques to fight against COVID-19 pandemic.
Book Synopsis Emerging Technologies During the Era of COVID-19 Pandemic by : Ibrahim Arpaci
Download or read book Emerging Technologies During the Era of COVID-19 Pandemic written by Ibrahim Arpaci and published by Springer Nature. This book was released on 2021-03-20 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It mainly focuses on using emerging technologies and their impact on health care, education, and society. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.
Book Synopsis Emerging Technologies for Combatting Pandemics by : M. Rubaiyat Hossain Mondal
Download or read book Emerging Technologies for Combatting Pandemics written by M. Rubaiyat Hossain Mondal and published by CRC Press. This book was released on 2022-11-25 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic has significantly affected the healthcare sector across the globe. Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) play important roles when dealing with emerging challenges. These technologies are being applied to problems involving the early detection of infections, fast contact tracing, decision-making models, risk profiling of cohorts, and remote treatment. Applying these technologies runs against challenges including interoperability, lack of unified structure for eHealth, and data privacy and security. Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics examines multiple models and solutions for various settings including individual, home, work, and society. The world’s healthcare systems are battling the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to surmount these challenges. This book focuses on the design and implementation of AI-based approaches in the proposed COVID-19 solutions that are enabled and supported by IoMT, sensor networks, cloud and edge computing, robotics, and analytics. It covers technologies under the umbrella of AI that include data science, big data, machine learning (ML), semantic technologies, analytics, and cyber security. Highlights of the book include: Epidemic forecasting models Surveillance and tracking systems IoMT and Internet of Healthcare Things-based integrated systems for COVID-19 Social network analysis systems Radiological image- based diagnosis systems Computational intelligence methods This reference work is beneficial for interdisciplinary students, researchers, and healthcare and technology professionals who need to know how computational intelligence could be used for surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease.
Book Synopsis Enabling Healthcare 4.0 for Pandemics by : Abhinav Juneja
Download or read book Enabling Healthcare 4.0 for Pandemics written by Abhinav Juneja and published by John Wiley & Sons. This book was released on 2021-09-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: ENABLING HEALTHCARE 4.0 for PANDEMICS The book explores the role and scope of AI, machine learning and other current technologies to handle pandemics. In this timely book, the editors explore the current state of practice in Healthcare 4.0 and provide a roadmap for harnessing artificial intelligence, machine learning, and Internet of Things, as well as other modern cognitive technologies, to aid in dealing with the various aspects of an emergency pandemic outbreak. There is a need to improvise healthcare systems with the intervention of modern computing and data management platforms to increase the reliability of human processes and life expectancy. There is an urgent need to come up with smart IoT-based systems which can aid in the detection, prevention and cure of these pandemics with more precision. There are a lot of challenges to overcome but this book proposes a new approach to organize the technological warfare for tackling future pandemics. In this book, the reader will find: State-of-the-art technological advancements in pandemic management; AI and ML-based identification and forecasting of pandemic spread; Smart IoT-based ecosystem for pandemic scenario. Audience The book will be used by researchers and practitioners in computer science, artificial intelligence, bioinformatics, data scientists, biomedical statisticians, as well as industry professionals in disaster and pandemic management.
Book Synopsis Artificial Intelligence and Machine Learning for COVID-19 by : Fadi Al-Turjman
Download or read book Artificial Intelligence and Machine Learning for COVID-19 written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2021-02-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.
Book Synopsis Lessons from COVID-19 by : Arturas Kaklauskas
Download or read book Lessons from COVID-19 written by Arturas Kaklauskas and published by Academic Press. This book was released on 2022-06-18 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lessons from COVID-19: Impact on Healthcare Systems and Technology uncovers the impact that COVID-19 has made on healthcare and technology industries. State-of-the-art case studies, empirical research, and new trends in technology-mediated solution are discussed to help inform and guide readers in understanding the effects that the COVID-19 outbreak has had across healthcare and technology industries. The book discusses challenges to identify vaccines, changes in legislation on clinical trials and re-purposing of licensed drugs, effects on primary healthcare, best practices adopted by different countries to control the pandemic, and different effects on patients within diverse age groups and comorbidities. In addition, the book covers technology-mediated solutions and infrastructures applied, digital transformations, modeling techniques, statistical projections, and the benefits and use of cloud computing and artificial intelligence. This is a valuable resource for healthcare professionals, medical doctors, researchers and graduate students from both biomedical and technological fields who are interested in learning more about the use of new technologies to fight a pandemic. Discusses the effects of COVID-19 on healthcare and technology Presents case studies and state-of-the-art research and technologies to help readers effectively understand the effects of COVID-19 Empowers researchers to work on effective hypothesis to test the disruptions and changes that have occurred as a result of COVID-19 Bridges practical and theoretical gaps in terms of lessons learned during COVID-19 in the healthcare and technology sectors
Book Synopsis Global Healthcare Disasters by : Adarsh Garg
Download or read book Global Healthcare Disasters written by Adarsh Garg and published by CRC Press. This book was released on 2022-08-04 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent COVID-19 global pandemic exemplifies the need for efficient, reliable, and real-time tools and technology for forecasting and predicting healthcare disasters as well as for helping to restrict the subsequent spread and fatality of deadly diseases. This new book discusses many of the innovative and state-of-the-art tools and technology that can help meet the challenges of predicting such disasters. The chapters offer a plethora of useful information for designing healthcare disaster management systems that can be dynamically configurable with implementation of today’s modern technology, such as cloud computing, artificial intelligence, IoT, data analytics, and machine learning. These can increase effectiveness in remote sensing technologies, data analytics, data storage, communication networks, geographic information system (GIS), and global positioning System (GPS), to name a few. This book discusses mathematical models using graph-based approaches for analyzing dynamic, heterogeneous, and unstructured data for applications in epidemiology. The authors also address the use of mobile applications for communication efforts and remote monitoring for gauging health and the effectiveness of preventive healthcare measures. The chapters discuss influencing factors that directly or indirectly target public health infrastructure that can lead to or exacerbate global health crises, such as extreme climate changes, refugee health crises, terrorism and cyberterrorism, and technology-related incidents. The book further looks at efficient methods to analyze disasters and how to deliver healthcare in areas of conflict and crisis. This important volume, Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies, provides a bounty of useful information for health professionals, academicians, researchers, governmental agencies, and policymakers across the world to predict, mitigate, and manage global health disaster with emerging technologies.
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.
Book Synopsis Enabling Healthcare 4.0 for Pandemics by : Abhinav Juneja
Download or read book Enabling Healthcare 4.0 for Pandemics written by Abhinav Juneja and published by John Wiley & Sons. This book was released on 2021-09-22 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: ENABLING HEALTHCARE 4.0 for PANDEMICS The book explores the role and scope of AI, machine learning and other current technologies to handle pandemics. In this timely book, the editors explore the current state of practice in Healthcare 4.0 and provide a roadmap for harnessing artificial intelligence, machine learning, and Internet of Things, as well as other modern cognitive technologies, to aid in dealing with the various aspects of an emergency pandemic outbreak. There is a need to improvise healthcare systems with the intervention of modern computing and data management platforms to increase the reliability of human processes and life expectancy. There is an urgent need to come up with smart IoT-based systems which can aid in the detection, prevention and cure of these pandemics with more precision. There are a lot of challenges to overcome but this book proposes a new approach to organize the technological warfare for tackling future pandemics. In this book, the reader will find: State-of-the-art technological advancements in pandemic management; AI and ML-based identification and forecasting of pandemic spread; Smart IoT-based ecosystem for pandemic scenario. Audience The book will be used by researchers and practitioners in computer science, artificial intelligence, bioinformatics, data scientists, biomedical statisticians, as well as industry professionals in disaster and pandemic management.
Book Synopsis Omics Approaches and Technologies in COVID-19 by : Debmalya Barh
Download or read book Omics Approaches and Technologies in COVID-19 written by Debmalya Barh and published by Academic Press. This book was released on 2022-12-01 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic has affected the entire world in an unprecedented way since 2019. However, novel and innovative applications of various omics, computational, and smart technologies have helped manage the pandemic of the 21st century in a very effective manner. Omics approaches and technologies in COVID-19 presents up-to-date knowledge on omics, genetic engineering, mathematical and computational approaches, and advanced technologies in the diagnosis, prevention, monitoring, and management of COVID-19. This book contains 26 chapters written by academic and industry experts from more than 15 countries. Split into three sections (Omics; Artificial Intelligence and Bioinformatics; and Smart and Emerging Technologies), it brings an overview of novel technologies under omics such as, genomic, metagenomic, pangenomic, metabolomics and proteomics in COVID-19. In addition, it discusses hostpathogen interactions and interactomics, management options, application of genetic engineering, mathematical modeling andsimulations, systems biology, and bioinformatics approaches in COVID-19 drug discovery and vaccine development. This is a valuable resource for students, biotechnologists, bioinformaticians, virologists, clinicians, and pharmaceutical, biomedical, and healthcare industry people who want to understand the promising omics and other technologies used in combating COVID-19 from various aspects. Provides novel technologies for rapid diagnostics, drug discovery, vaccine development, monitoring, prediction of future waves, etc. Describes various omics applications including genomics, metagenomics, epigenomics, nutrigenomics, transcriptomics,miRNAomics, proteomics, metabolomics, phenomics, multiomics, etc., in COVID-19 Presents applications of genetic engineering, CRISPR, artificial intelligence, mathematical and in silico modeling, systems biology,and other computational approaches in COVID-19 Discusses emerging, digital, and smart technologies for the monitoring and management of COVID-19
Book Synopsis Machine Intelligence and Emerging Technologies by : Md. Shahriare Satu
Download or read book Machine Intelligence and Emerging Technologies written by Md. Shahriare Satu and published by Springer Nature. This book was released on 2023-06-10 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.
Book Synopsis Healthcare Systems Design of Intelligent Testing Centers by : Tawanda Mushiri
Download or read book Healthcare Systems Design of Intelligent Testing Centers written by Tawanda Mushiri and published by Elsevier. This book was released on 2023-01-23 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare Systems Design of Intelligent Testing Centers: Latest Technologies to Battle Pandemics such as Covid-19 highlights the importance of designing intelligent testing centers requiring no human intervention during sample collection and testing of the Covid-19 virus and all similar viruses. This book introduces the background, medical requirements, and new research on medical robotics applications, including general Covid-19 testing techniques, development considerations for intelligent testing booths, kinematic and dynamic modeling, design specifications and optimization, numerical verifications, actuators, and sensors in medical applications of artificial intelligence and robotics systems. Demonstrates how to design an intelligent healthcare testing center from scratch Presents the basics of AI and robotics technology in healthcare testing Covers technical-economic evaluation of robotic systems, which is crucial for decision-makers in the field
Book Synopsis Pandemic vs Technology by : M.M Rahman
Download or read book Pandemic vs Technology written by M.M Rahman and published by Notion Press. This book was released on 2023-01-21 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the advancement of digital technologies and epidemiological issues. Modern digital technologies, including artificial intelligence (AI), 5G-based Internet of Things (IoT), and others, are crucial for achieving positive health, social, and economic outcomes when battling the coronavirus pandemic. This book covers these modern digital technologies and their effectiveness in healthcare and socio-economic environments. In addition, with its potential effects in many industries, the use of 5G technology is growing, offering more realtime services than anticipated. This book also intends to showcase 5G-based solutions that can address COVID-19 difficulties in various contexts by concentrating on 5G technology and existing healthcare issues. In order to address current epidemic concerns, this book focuses on the expanding roles of 5G-powered technologies, including artificial intelligence, the Internet of things, big data analytics, cloud computing, and other digital platforms. The context of this book examines numerous technological and healthcare difficulties as well as opportunities for creating AI and 5G-powered healthcare solutions. In addition, it provides a thorough evaluation of 5G-powered emerging applications to tackle the coronavirus outbreak. Key Features • Emphasizes the fundamental concepts of Industry 4.0 technologies and their applications in different sectors. • Covers the pandemic and post-pandemic issues, and presents the deadliest pandemics in human history and a chronological history of the COVID-19 pandemic. • Incorporates artificial intelligence (AI) and related technologies, and presents AI approaches in different facets of healthcare during the pandemic. • Provides insights into several aspects of 5G technology and 5G-powered solutions in handling the coronavirus pandemic and lockdown situations. • Includes the concepts of digital divide and global status of using emerging technologies and the Internet, and their impacts on society. • Highlights the challenges and opportunities of deploying AI and 5G-powered technologies, further research directions, and policy recommendations to the states for the future pandemics.
Book Synopsis Leveraging Technology as a Response to the COVID Pandemic by : Harry P. Pappas
Download or read book Leveraging Technology as a Response to the COVID Pandemic written by Harry P. Pappas and published by CRC Press. This book was released on 2022-12-30 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 2019 the world was struck with the Coronavirus (COVID-19) infecting major portions of the world’s population. There were no vaccines or treatments available to help mitigate the disease or offer a cure. The world's health systems were inundated with massive numbers of patients with varying ranges of symptoms, acuity, and levels of criticality. The world's healthcare organizations soon found themselves in an unmanageable situation, directly impacting the ability to manage patients across the entire healthcare environment. Most healthcare institutions had plans for emergency preparedness and procedures to deal with temporary crises, none of which were effective against the impact of COVID-19. COVID-19 was a highly contagious disease, resulting in high volumes of admissions with long lengths of stay. The virus quickly overwhelmed institutions with large patient volumes, resulting in shortages of patient beds, medical equipment, personal protective devices, cleaning agents, and other critical supplies. Hospital operations were further impacted by staff shortages due to exposure, resulting contagion, the shutdown of transit systems, and responsibilities at home due to school and business closures. This timely and important book describes the impact on the hospital ability to provide patient care and how healthcare institutions leveraged diverse technology solutions to combat the impact of COVID-19 on providing patient care. The authors also discuss implementation of these technology solutions and the many lessons learned of how healthcare institutions can enhance their emergency preparedness in the future from the COVID experience. The authors would like to acknowledge, thank, and dedicate this book to the hundreds of thousands of healthcare workers around the world who spent countless hours and put their own lives and families lives at risk to help patients though this pandemic.
Book Synopsis Artificial Intelligence for COVID-19 by : Diego Oliva
Download or read book Artificial Intelligence for COVID-19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
Book Synopsis Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 by : Aboul-Ella Hassanien
Download or read book Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2021-07-23 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.
