Computational Modeling and Data Analysis in COVID-19 Research

Chhabi Rani Panigrahi, Bibudhendu Pati, Mamata Rath, Rajkumar Buyya

Informasi Dasar

22.21.197
616.23
Buku - Elektronik (E-Book)
11b

This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks.

Subjek

DISEASES OF TRACHEA AND BRONCHI
COMPUTATIONAL BIOLOGY AND BIOFORMATICS,

Katalog

Computational Modeling and Data Analysis in COVID-19 Research
978-1-003-13748-1
271p.: pdf file.; 23 MB
English

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Pengarang

Chhabi Rani Panigrahi, Bibudhendu Pati, Mamata Rath, Rajkumar Buyya
Perorangan
 
 

Penerbit

CRC Press
New York
2021

Koleksi

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