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_a10.1007/978-981-16-2786-6 _2doi |
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_aRA644.C67 _b2021 EB |
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_aImpact of AI and Data Science in Response to Coronavirus Pandemic _cedited by Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy, Gyoo-Soo Chae, Bhabani Shankar Prasad Mishra. |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aSingapore _bSpringer International Pulishing _c2021 |
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| 300 |
_a1 recurso en línea (XII, 324 páginas) _b186 ilustraciones, 167 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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_2rdacarrier _arecurso electrónico _bcr |
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_aarchivo de texto _bPDF |
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_aAlgorithms for Intelligent Systems _x2524-7573 |
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| 490 | 0 | _aIntelligent Technologies and Robotics (SpringerNature-42732) | |
| 490 | 0 | _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728) | |
| 505 | 0 | _aFight Against Covid-19 Pandemic using Chat-Bots -- IoT for COVID-19: A Descriptive Viewpoint -- A Deep learning application for Prediction of COVID-19 -- Impact of Artificial Intelligence & Internet of Things in Effective Handling of Corona virus Crisis -- Application of Machine Learning Algorithms for effective determination of COVID 19 clusters -- Futuristic Intelligence based treatment methods to handle COVID-19 patients -- Machine Learning Approach for Analyzing Symptoms Associated with COVID-19 Risk Factors -- Detection of COVID-19 using Textual Clinical Data: A Machine Learning Approach -- Application Of Big Data In Analysis And Management Of Coronavirus (COVID-19) -- Computer Vision in COVID-19: A Study -- Role of Artificial Intelligence in Forecast Analysis of COVID-19 Outbreak -- Smart Technology Application for COVID-19 Detection, Control, Prediction and Analysis -- Sentiment Analysis Of Twitter Data Related To COVID-19 -- Application of Artificial Intelligence (AI) for effective screening of COVID-19 -- An Overview of Significant Role of Data Science and its associated methodologies in COVID-19 Handling. | |
| 520 | 3 | _aThe book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic. | |
| 988 | _aSpringer_Robotics_2021 | ||
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_2embne _9166090 _aAprendizaje automático |
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_aMishra, Sushruta _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682168 |
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_aMallick, Pradeep Kumar, _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681099 _d1984- |
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| 700 |
_aTripathy, Hrudaya Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682058 |
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| 700 |
_aChae, Gyoo-Soo _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682169 |
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| 700 |
_aMishra, Bhabani Shankar Prasad. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _998234 |
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_iPrinted edition: _z9789811627859 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811627873 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811627880 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-2786-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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