Artificial Intelligence for COVID-19
Title | Artificial Intelligence for COVID-19 PDF eBook |
Author | Diego Oliva |
Publisher | Springer Nature |
Pages | 594 |
Release | 2021-07-19 |
Genre | Technology & Engineering |
ISBN | 3030697444 |
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
Title | Artificial Intelligence and Machine Learning for COVID-19 PDF eBook |
Author | Fadi Al-Turjman |
Publisher | Springer |
Pages | 267 |
Release | 2021-02-17 |
Genre | Technology & Engineering |
ISBN | 9783030601874 |
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 and Machine Learning for COVID-19
Title | Artificial Intelligence and Machine Learning for COVID-19 PDF eBook |
Author | Fadi Al-Turjman |
Publisher | Springer Nature |
Pages | 266 |
Release | 2021-02-19 |
Genre | Technology & Engineering |
ISBN | 3030601889 |
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
Title | Artificial Intelligence in Covid-19 PDF eBook |
Author | Niklas Lidströmer |
Publisher | Springer Nature |
Pages | 346 |
Release | 2022-11-09 |
Genre | Medical |
ISBN | 303108506X |
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.
Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19
Title | Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19 PDF eBook |
Author | Allam Hamdan |
Publisher | Springer Nature |
Pages | 701 |
Release | 2022-02-17 |
Genre | Computers |
ISBN | 3030939219 |
This book aims to assess the experience of education during COVID-19 pandemic and explore the future of application of technologies and artificial intelligence in education. Education delivery requires the support of new technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data, and machine learning to fight and aspire to new diseases. The academic community and those interested in education agree that education after the corona pandemic will not be the same as before. The book also questions the role of accreditation bodies (e.g., AACSB, etc.) to ensure the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis.
Impact of AI and Data Science in Response to Coronavirus Pandemic
Title | Impact of AI and Data Science in Response to Coronavirus Pandemic PDF eBook |
Author | Sushruta Mishra |
Publisher | Springer Nature |
Pages | 324 |
Release | 2021-07-22 |
Genre | Technology & Engineering |
ISBN | 981162786X |
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
Title | Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach PDF eBook |
Author | Aboul-Ella Hassanien |
Publisher | Springer |
Pages | 307 |
Release | 2020-10-13 |
Genre | Computers |
ISBN | 9783030552572 |
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.