| 書目名稱 | Intelligent Data Analysis for COVID-19 Pandemic |
| 編輯 | M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj |
| 視頻video | http://file.papertrans.cn/470/469561/469561.mp4 |
| 概述 | Presents intelligent data analysis in dealing with COVID-19 outbreak.Discusses data analysis methods and tools for analyzing COVID-19 symptoms.Serves as a reference resource for researchers and academ |
| 叢書名稱 | Algorithms for Intelligent Systems |
| 圖書封面 |  |
| 描述 | .This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.. |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | COVID-19; Corona Virus Disease; Intelligent Data Analysis; Machine Learning; Information Through Web App |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-1574-0 |
| isbn_softcover | 978-981-16-1576-4 |
| isbn_ebook | 978-981-16-1574-0Series ISSN 2524-7565 Series E-ISSN 2524-7573 |
| issn_series | 2524-7565 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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