Computational Modeling and Data Analysis in COVID-19 Research

This book discusses the use of advanced technologies such as AI and ML to handle the COVID-19 outbreak,including data analysis techniques to predict the disease and develop effective medications and treatments. It also includes case studies on successful applications of AI,ML,IoT,and drone technologies in controlling the spread of COVID-19 infections.

Format: Hardback
Length: 256 pages
Publication date: 10 May 2021
Publisher: Taylor & Francis Ltd

This book delves into the latest research on the COVID-19 pandemic, encompassing a comprehensive analysis, implementation, usage, and proposed ideas and models for effectively managing the outbreak. By leveraging advanced technologies like artificial intelligence (AI) and machine learning (ML), this resource offers valuable techniques for data analysis, aiming to mitigate exposure and prioritize public health. Recognizing the importance of prevention, the book employs various ML techniques to predict the disease in its early stages, enabling the development of more effective medications and treatments. Computational technologies, including AI, ML, IoT, and drone technologies, serve as the foundation for a wide range of applications that can be developed and utilized to combat the pandemic. Given the complexity of pandemic diseases, it is crucial to employ a multifaceted approach, incorporating multiple tools and tactics. Numerous successful applications of AI, ML, IoT, and drone technologies have already emerged, showcasing their potential in analyzing past data and providing valuable insights for controlling the spread of COVID-19 infections with minimal resources. The AI and ML approach plays a pivotal role in designing different models that offer predictive solutions for mitigating infection and preventing larger outbreaks. By exploring these technologies in depth, this book provides valuable insights for researchers, healthcare professionals, and policymakers alike, as they work together to navigate the challenges posed by the COVID-19 pandemic.

Weight: 548g
Dimension: 159 x 241 x 22 (mm)
ISBN-13: 9780367680367