Pandemic Detection And Analysis Through Smart Computing Technologies

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Pandemic Detection and Analysis Through Smart Computing Technologies

Ram Shringar Raw,Vishal Jain,Sanjoy Das,Meenakshi Sharma
Pandemic Detection and Analysis Through Smart Computing Technologies Book PDF

Author : Ram Shringar Raw,Vishal Jain,Sanjoy Das,Meenakshi Sharma
Publisher : CRC Press
Page : 329 pages
File Size : 54,8 Mb
Release : 2022-07-07
Category : Computers
ISBN : 9781000571899

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Pandemic Detection and Analysis Through Smart Computing Technologies by Ram Shringar Raw,Vishal Jain,Sanjoy Das,Meenakshi Sharma Pdf

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.

Advances in Data Science and Intelligent Data Communication Technologies for COVID-19

Aboul-Ella Hassanien,Sally M. Elghamrawy,Ivan Zelinka
Advances in Data Science and Intelligent Data Communication Technologies for COVID 19 Book PDF

Author : Aboul-Ella Hassanien,Sally M. Elghamrawy,Ivan Zelinka
Publisher : Springer Nature
Page : 311 pages
File Size : 41,9 Mb
Release : 2021-07-23
Category : Computers
ISBN : 9783030773021

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Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 by Aboul-Ella Hassanien,Sally M. Elghamrawy,Ivan Zelinka Pdf

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.

Intelligent Computing Applications for COVID-19

Tanzila Saba,Amjad Rehman Khan
Intelligent Computing Applications for COVID 19 Book PDF

Author : Tanzila Saba,Amjad Rehman Khan
Publisher : CRC Press
Page : 338 pages
File Size : 43,8 Mb
Release : 2021-09-08
Category : Technology & Engineering
ISBN : 9781000423631

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Intelligent Computing Applications for COVID-19 by Tanzila Saba,Amjad Rehman Khan Pdf

Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry. This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers, Students, Professionals, Executives, and the general public.

Data Science for COVID-19 Volume 1

Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Data Science for COVID 19 Volume 1 Book PDF

Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Publisher : Academic Press
Page : 754 pages
File Size : 42,9 Mb
Release : 2021-05-20
Category : Science
ISBN : 9780128245378

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Data Science for COVID-19 Volume 1 by Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna Pdf

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions

Artificial Intelligence and Machine Learning for COVID-19

Fadi Al-Turjman
Artificial Intelligence and Machine Learning for COVID 19 Book PDF

Author : Fadi Al-Turjman
Publisher : Springer Nature
Page : 266 pages
File Size : 44,5 Mb
Release : 2021-02-19
Category : Technology & Engineering
ISBN : 9783030601881

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Artificial Intelligence and Machine Learning for COVID-19 by Fadi Al-Turjman Pdf

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.

Intelligent Data Analysis for COVID-19 Pandemic

M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar
Intelligent Data Analysis for COVID 19 Pandemic Book PDF

Author : M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar
Publisher : Springer Nature
Page : 370 pages
File Size : 50,7 Mb
Release : 2021-06-22
Category : Technology & Engineering
ISBN : 9789811615740

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Intelligent Data Analysis for COVID-19 Pandemic by M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar Pdf

This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

Computational Intelligence for Managing Pandemics

Aditya Khamparia,Rubaiyat Hossain Mondal,Prajoy Podder,Bharat Bhushan,Victor Hugo C. de Albuquerque,Sachin Kumar
Computational Intelligence for Managing Pandemics Book PDF

Author : Aditya Khamparia,Rubaiyat Hossain Mondal,Prajoy Podder,Bharat Bhushan,Victor Hugo C. de Albuquerque,Sachin Kumar
Publisher : Walter de Gruyter GmbH & Co KG
Page : 394 pages
File Size : 52,9 Mb
Release : 2021-09-07
Category : Computers
ISBN : 9783110712278

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Computational Intelligence for Managing Pandemics by Aditya Khamparia,Rubaiyat Hossain Mondal,Prajoy Podder,Bharat Bhushan,Victor Hugo C. de Albuquerque,Sachin Kumar Pdf

This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and applications from the current Covid-19 pandemic. The book chapters will focus on the application of CI and its related fields in managing different aspects of Covid-19, including modelling of the disease spread, data-driven prediction, identification of disease hotspots, and medical decision support.

AI-Enabled Social Robotics in Human Care Services

Kautish, Sandeep,Chaubey, Nirbhay Kumar,Goyal, S.B.,Whig, Pawan
AI Enabled Social Robotics in Human Care Services Book PDF

Author : Kautish, Sandeep,Chaubey, Nirbhay Kumar,Goyal, S.B.,Whig, Pawan
Publisher : IGI Global
Page : 340 pages
File Size : 41,7 Mb
Release : 2023-04-24
Category : Technology & Engineering
ISBN : 9781668481738

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AI-Enabled Social Robotics in Human Care Services by Kautish, Sandeep,Chaubey, Nirbhay Kumar,Goyal, S.B.,Whig, Pawan Pdf

As social robots and the artificial intelligence (AI) that powers them become more advanced, they will likely take on more social and work roles. There is a variety of ways social robots can be engaged in human life, and they can leave an impact in terms of ease of use, productivity, and human support. The interactivity and receptivity of social robots can encourage humans to form social relationships with them. But now robots are intended to perform socially intelligent and interactive services like reception, guidance, emotional companionship, and more, which makes social human-robot interaction essential to help improve aspects of quality of life as well as to improve the efficiency of human care services. AI-Enabled Social Robotics in Human Care Services addresses recent advances in the latest technologies, new research results, and developments in the area of social robotics and AI and the latest developments in the field and future directions that can be beneficial to human society and human care services. Covering topics such as agriculture waste management systems, elder care, and facial emotion recognition, this premier reference source is an essential resource for AI professionals, computer scientists, robotics engineers, human care professionals, students and educators of higher education, librarians, researchers, and academicians.

Advanced AI and Internet of Health Things for Combating Pandemics

Mohamed Lahby,Virginia Pilloni,Jyoti Sekhar Banerjee,Mufti Mahmud
Advanced AI and Internet of Health Things for Combating Pandemics Book PDF

Author : Mohamed Lahby,Virginia Pilloni,Jyoti Sekhar Banerjee,Mufti Mahmud
Publisher : Springer Nature
Page : 397 pages
File Size : 45,5 Mb
Release : 2023-07-24
Category : Technology & Engineering
ISBN : 9783031286315

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Advanced AI and Internet of Health Things for Combating Pandemics by Mohamed Lahby,Virginia Pilloni,Jyoti Sekhar Banerjee,Mufti Mahmud Pdf

This book presents the latest research, theoretical methods, and novel applications in the field of Health 5.0. The authors focus on combating COVID-19 or other pandemics through facilitating various technological services. The authors discuss new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 or other pandemic based on machine intelligence models and communication technologies. The aim of the coverage is to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence and Internet of Medical Things (IoMT). This book emphasizes the need to analyze all the information through studies and research carried out in the field of computational intelligence, communication networks, and presents the best solutions to combat COVID and other pandemics.

Internet of Medical Things for Smart Healthcare

Chinmay Chakraborty,Amit Banerjee,Lalit Garg,Joel J. P. C. Rodrigues
Internet of Medical Things for Smart Healthcare Book PDF

Author : Chinmay Chakraborty,Amit Banerjee,Lalit Garg,Joel J. P. C. Rodrigues
Publisher : Springer Nature
Page : 312 pages
File Size : 42,9 Mb
Release : 2020-11-09
Category : Technology & Engineering
ISBN : 9789811580970

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Internet of Medical Things for Smart Healthcare by Chinmay Chakraborty,Amit Banerjee,Lalit Garg,Joel J. P. C. Rodrigues Pdf

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.

Artificial Intelligence Applications in a Pandemic

Salah-ddine Krit,Vrijendra Singh,Mohamed Elhoseny,Yashbir Singh
Artificial Intelligence Applications in a Pandemic Book PDF

Author : Salah-ddine Krit,Vrijendra Singh,Mohamed Elhoseny,Yashbir Singh
Publisher : CRC Press
Page : 150 pages
File Size : 44,7 Mb
Release : 2021-03-18
Category : Computers
ISBN : 9781000460278

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Artificial Intelligence Applications in a Pandemic by Salah-ddine Krit,Vrijendra Singh,Mohamed Elhoseny,Yashbir Singh Pdf

COVID-19, a novel coronavirus pandemic has disrupted our society in many ways. Digital healthcare innovations are required more than ever before as we come across myriad challenges during this pandemic. Scientists and developers are learning and finding a way to use artificial intelligence applications and natural language processing to comprehend and tackle this disease. AI technologies are playing an important role in the response to the COVID-19 pandemic. Experts are using all possible tools to study the virus, diagnose individuals, and analyze the public health impacts. This book is a collection of some of the leading efforts related to AI and COVID-19 focused on finding how AI can be helpful in monitoring the situation from early warnings, swift emergency responses, and critical decision-making. It discusses the use of machine learning and how it may help to reduce the impacts of this pandemic in conjunction with all other research and strategies going on. The book serves as a technical resource of data analytics and AI applications in tracking infectious diseases. It will serve academics, students, data scientists, medical practitioners, and anybody managing a global pandemic. Features: Directs the attention to the smart digital healthcare system in this COVID-19 pandemic. Simulates novel investigations and how they will be beneficial in understanding the pandemic. Presents the latest ideas developed for data scientists, doctors, engineers, and economists. Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientific skill gaps. Explains some interesting and diverse types of challenges and data-driven healthcare applications.

Computational Modeling and Data Analysis in COVID-19 Research

Chhabi Rani Panigrahi,Bibudhendu Pati,Mamata Rath,Rajkumar Buyya
Computational Modeling and Data Analysis in COVID 19 Research Book PDF

Author : Chhabi Rani Panigrahi,Bibudhendu Pati,Mamata Rath,Rajkumar Buyya
Publisher : CRC Press
Page : 271 pages
File Size : 49,7 Mb
Release : 2021-05-09
Category : Medical
ISBN : 9781000384970

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Computational Modeling and Data Analysis in COVID-19 Research by Chhabi Rani Panigrahi,Bibudhendu Pati,Mamata Rath,Rajkumar Buyya Pdf

This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.

Proceedings of 2nd International Conference on Artificial Intelligence, Robotics, and Communication

Sanjay Yadav,Harish Kumar,Pavan Kumar Kankar,Wanyang Dai,Fenghua Huang
Proceedings of 2nd International Conference on Artificial Intelligence Robotics and Communication Book PDF

Author : Sanjay Yadav,Harish Kumar,Pavan Kumar Kankar,Wanyang Dai,Fenghua Huang
Publisher : Springer Nature
Page : 304 pages
File Size : 45,5 Mb
Release : 2023-11-01
Category : Technology & Engineering
ISBN : 9789819945542

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Proceedings of 2nd International Conference on Artificial Intelligence, Robotics, and Communication by Sanjay Yadav,Harish Kumar,Pavan Kumar Kankar,Wanyang Dai,Fenghua Huang Pdf

This volume comprises the select proceedings of the 2nd International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC 2022). The content focuses on big data and cloud computing and the application of artificial intelligence, robotics and engineering, the Internet of things, and sensor technology. Some of the topics covered include robot control, perception systems, dexterous manipulation, robot sensing, and data fusion, technology architecture of IoT, information analysis and processing of IoT, dynamic resource supply and consumption, IoT chips and sensors, industrial IoT, and Big Data, the architecture of Big Data, security and privacy of Big Data, management and operation of cloud computing, etc. This volume will be of interest to those working in academia and industry in the fields of computation, communication, and engineering.

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

Siddhartha Bhattacharyya
Intelligent Modeling Prediction and Diagnosis from Epidemiological Data Book PDF

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
Page : 290 pages
File Size : 49,9 Mb
Release : 2021-11-23
Category : Computers
ISBN : 9781000474732

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Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data by Siddhartha Bhattacharyya Pdf

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.

Lessons from COVID-19

Arturas Kaklauskas,Ajith Abraham,Kingsley Okoye,Shankru Guggari
Lessons from COVID 19 Book PDF

Author : Arturas Kaklauskas,Ajith Abraham,Kingsley Okoye,Shankru Guggari
Publisher : Academic Press
Page : 468 pages
File Size : 41,6 Mb
Release : 2022-06-18
Category : Medical
ISBN : 9780323999441

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Lessons from COVID-19 by Arturas Kaklauskas,Ajith Abraham,Kingsley Okoye,Shankru Guggari Pdf

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