| 期刊全稱 | Artificial Intelligence for COVID-19 | | 影響因子2023 | Diego Oliva,Said Ali Hassan,Ali Mohamed | | 視頻video | http://file.papertrans.cn/163/162350/162350.mp4 | | 發(fā)行地址 | Presents recent research on Decision Sciences for COVID-19.Provides Decision sciences techniques which use a number of mathematical techniques to solve problems in COVID-19 applications.Written by exp | | 學(xué)科分類 | Studies in Systems, Decision and Control | | 圖書封面 |  | | 影響因子 | 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.? | | Pindex | Book 2021 |
The information of publication is updating
|
|