| 書(shū)目名稱 | Understanding COVID-19: The Role of Computational Intelligence | | 編輯 | Janmenjoy Nayak,Bighnaraj Naik,Ajith Abraham | | 視頻video | http://file.papertrans.cn/942/941327/941327.mp4 | | 概述 | Presents advanced computational intelligence approaches spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, self-organizing systems, fuzzy syste | | 叢書(shū)名稱 | Studies in Computational Intelligence | | 圖書(shū)封面 |  | | 描述 | This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as? disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.? | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | COVID-19; Computational Intelligence; Artificial Intelligence; Data Analysis; Neural Networks | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-74761-9 | | isbn_softcover | 978-3-030-74763-3 | | isbn_ebook | 978-3-030-74761-9Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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