Intelligent Systems And Methods To Combat Covid 19

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Intelligent Systems and Methods to Combat Covid-19

Amit Joshi,Nilanjan Dey,K. C. Santosh
Intelligent Systems and Methods to Combat Covid 19 Book PDF

Author : Amit Joshi,Nilanjan Dey,K. C. Santosh
Publisher : Springer Nature
Page : 91 pages
File Size : 53,5 Mb
Release : 2020-08-26
Category : Technology & Engineering
ISBN : 9789811565724

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Intelligent Systems and Methods to Combat Covid-19 by Amit Joshi,Nilanjan Dey,K. C. Santosh Pdf

This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.

Computational Intelligence Techniques for Combating COVID-19

Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
Computational Intelligence Techniques for Combating COVID 19 Book PDF

Author : Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
Publisher : Springer Nature
Page : 392 pages
File Size : 51,6 Mb
Release : 2021
Category : Biomedical engineering
ISBN : 9783030689360

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Computational Intelligence Techniques for Combating COVID-19 by Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid Pdf

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).

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 : 49,5 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.

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

Khalid Raza
Computational Intelligence Methods in COVID 19 Surveillance Prevention Prediction and Diagnosis Book PDF

Author : Khalid Raza
Publisher : Springer Nature
Page : 436 pages
File Size : 45,6 Mb
Release : 2020-10-16
Category : Technology & Engineering
ISBN : 9789811585340

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

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.

Computational Intelligence for COVID-19 and Future Pandemics

Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo
Computational Intelligence for COVID 19 and Future Pandemics Book PDF

Author : Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo
Publisher : Springer Nature
Page : 435 pages
File Size : 44,7 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9789811637834

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Computational Intelligence for COVID-19 and Future Pandemics by Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo Pdf

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.

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 : 40,7 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.

Impact of AI and Data Science in Response to Coronavirus Pandemic

Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra
Impact of AI and Data Science in Response to Coronavirus Pandemic Book PDF

Author : Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra
Publisher : Springer Nature
Page : 324 pages
File Size : 44,7 Mb
Release : 2021-07-22
Category : Technology & Engineering
ISBN : 9789811627866

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Impact of AI and Data Science in Response to Coronavirus Pandemic by Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra Pdf

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Predictive and Preventive Measures for Covid-19 Pandemic

Praveen Kumar Khosla,Mamta Mittal,Dolly Sharma,Lalit Mohan Goyal
Predictive and Preventive Measures for Covid 19 Pandemic Book PDF

Author : Praveen Kumar Khosla,Mamta Mittal,Dolly Sharma,Lalit Mohan Goyal
Publisher : Springer Nature
Page : 335 pages
File Size : 43,6 Mb
Release : 2021-01-22
Category : Technology & Engineering
ISBN : 9789813342361

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Predictive and Preventive Measures for Covid-19 Pandemic by Praveen Kumar Khosla,Mamta Mittal,Dolly Sharma,Lalit Mohan Goyal Pdf

This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic.

Researches and Applications of Artificial Intelligence to Mitigate Pandemics

Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
Researches and Applications of Artificial Intelligence to Mitigate Pandemics Book PDF

Author : Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
Publisher : Academic Press
Page : 183 pages
File Size : 50,9 Mb
Release : 2021-04-27
Category : Technology & Engineering
ISBN : 9780323899963

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Researches and Applications of Artificial Intelligence to Mitigate Pandemics by Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed Pdf

Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support. Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage. Explains novel and hybrid high quality artificial intelligence methodologies, techniques, algorithms, architectures, tools and methods to cope with pandemics Covers rapid point-of-care diagnostics, presents details on varied mathematical models developed to control epidemiology, and lists existing measures to disseminate the spread of infection using computational methods Highlights the negative effect of social media and other sources by applying preventive measures to combat depression and anxiety

Cyber-Physical Systems

Ramesh Poonia,Basant Agarwal,Sandeep Kumar,Mohammad Khan,Goncalo Marques,Janmenjoy Nayak
Cyber Physical Systems Book PDF

Author : Ramesh Poonia,Basant Agarwal,Sandeep Kumar,Mohammad Khan,Goncalo Marques,Janmenjoy Nayak
Publisher : Academic Press
Page : 278 pages
File Size : 50,7 Mb
Release : 2021-10-30
Category : Computers
ISBN : 9780323853576

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Cyber-Physical Systems by Ramesh Poonia,Basant Agarwal,Sandeep Kumar,Mohammad Khan,Goncalo Marques,Janmenjoy Nayak Pdf

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture. Offers perspectives on the design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of COVID-19 Puts forth insights on how future illnesses can be supported using intelligent corona virus monitoring techniques

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 : 317 pages
File Size : 49,6 Mb
Release : 2022-07-07
Category : Computers
ISBN : 9781000571929

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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.

Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches

Aboul Ella Hassanien,Ashraf Darwish
Digital Transformation and Emerging Technologies for Fighting COVID 19 Pandemic Innovative Approaches Book PDF

Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Springer Nature
Page : 310 pages
File Size : 54,9 Mb
Release : 2021-03-10
Category : Technology & Engineering
ISBN : 9783030633073

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Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches by Aboul Ella Hassanien,Ashraf Darwish Pdf

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.

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 : 54,7 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.

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 : 43,8 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

Artificial Intelligence for COVID-19

Diego Oliva,Said Ali Hassan,Ali Mohamed
Artificial Intelligence for COVID 19 Book PDF

Author : Diego Oliva,Said Ali Hassan,Ali Mohamed
Publisher : Springer Nature
Page : 594 pages
File Size : 55,5 Mb
Release : 2021-07-19
Category : Technology & Engineering
ISBN : 9783030697440

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Artificial Intelligence for COVID-19 by Diego Oliva,Said Ali Hassan,Ali Mohamed Pdf

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.