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 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 Methods in COVID 19 and Related Health Diseases

Artificial Intelligence and Machine Learning Methods in COVID 19 and Related Health Diseases
Author: Victor Chang,Harleen Kaur,Simon James Fong
Publsiher: Springer Nature
Total Pages: 255
Release: 2022-06-28
Genre: Technology & Engineering
ISBN: 9783031045974

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This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.

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.

Big Data Analytics and Artificial Intelligence Against COVID 19 Innovation Vision and Approach

Big Data Analytics and Artificial Intelligence Against COVID 19  Innovation Vision and Approach
Author: Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
Publsiher: Springer Nature
Total Pages: 307
Release: 2020-10-12
Genre: Computers
ISBN: 9783030552589

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This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

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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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.