Artificial Intelligence for COVID 19

Artificial Intelligence for COVID 19
Author: Diego Oliva,Said Ali Hassan,Ali Mohamed
Publsiher: Springer Nature
Total Pages: 594
Release: 2021-07-19
Genre: Technology & Engineering
ISBN: 9783030697440

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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.

Artificial Intelligence and Machine Learning for COVID 19

Artificial Intelligence and Machine Learning for COVID 19
Author: Fadi Al-Turjman
Publsiher: Springer Nature
Total Pages: 266
Release: 2021-02-19
Genre: Technology & Engineering
ISBN: 9783030601881

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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.

Artificial Intelligence in Covid 19

Artificial Intelligence in Covid 19
Author: Niklas Lidströmer,Yonina C. Eldar
Publsiher: Springer Nature
Total Pages: 346
Release: 2022-11-09
Genre: Medical
ISBN: 9783031085062

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This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.

Applications of Artificial Intelligence in COVID 19

Applications of Artificial Intelligence in COVID 19
Author: Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee
Publsiher: Springer Nature
Total Pages: 593
Release: 2021-09-29
Genre: Medical
ISBN: 9789811573170

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The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

Artificial Intelligence for Coronavirus Outbreak

Artificial Intelligence for Coronavirus Outbreak
Author: Simon James Fong,Nilanjan Dey,Jyotismita Chaki
Publsiher: Springer Nature
Total Pages: 84
Release: 2020-06-22
Genre: Technology & Engineering
ISBN: 9789811559365

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This book examines how the wonders of AI have contributed to the battle against COVID-19. Just as history repeats itself, so do epidemics and pandemics. In the face of the novel coronavirus disease, COVID-19, the book explores whether, in this digital era where artificial intelligence is successfully applied in all areas of industry, we are doing any better than our ancestors did in dealing with pandemics. One of the most contagious diseases ever known, COVID-19 is spreading like wildfire around and has cost thousands of human lives. The book discusses how AI can help fight this deadly virus, from early warnings, prompt emergency responses, and critical decision-making to surveillance drones. Serving as a technical reference resource, data analytic tutorial and a chronicle of the application of AI in epidemics, this book will appeal to academics, students, data scientists, medical practitioners, and anybody who is concerned about this global epidemic.

AI enabled Data Science for COVID 19

AI enabled Data Science for COVID 19
Author: Da Yan,Hong Qin,Hsiang-Yun Wu,Jake Y. Chen
Publsiher: Frontiers Media SA
Total Pages: 115
Release: 2022-01-13
Genre: Science
ISBN: 9782889740505

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Computational Intelligence for COVID 19 and Future Pandemics

Computational Intelligence for COVID 19 and Future Pandemics
Author: Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo
Publsiher: Springer Nature
Total Pages: 435
Release: 2022-01-01
Genre: Technology & Engineering
ISBN: 9789811637834

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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.

Impact of AI and Data Science in Response to Coronavirus Pandemic

Impact of AI and Data Science in Response to Coronavirus Pandemic
Author: Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra
Publsiher: Springer Nature
Total Pages: 324
Release: 2021-07-22
Genre: Technology & Engineering
ISBN: 9789811627866

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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.