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_a10.1007/978-981-33-4236-1 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC |
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_b2021 EB _aRA644.C67 |
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_aPredictive and Preventive Measures for Covid-19 Pandemic _cedited by Praveen Kumar Khosla, Mamta Mittal, Dolly Sharma, Lalit Mohan Goyal. |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aSingapore _bSpringer International Pulishing _c2021 |
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| 300 |
_a1 recurso en línea (XVII, 326 páginas) _b116 ilustraciones, 101 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF _2 |
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_aAlgorithms for Intelligent Systems _x2524-7565 |
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| 490 | 0 | _aIntelligent Technologies and Robotics (SpringerNature-42732) | |
| 490 | 0 | _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728) | |
| 505 | 0 | _aMitigate the Impact of Covid-19: Telehealth -- Epidemic Models in Prediction of COVID-19 -- Analyzing the Impact on Online Teaching Learning Process on Education System during New Corona Regime using Fuzzy Logic Techniques -- Healthcare 4.0 in Future Capacity Building for Pandemic Control -- Preventive Behavior against COVID 19: Role of Psychological Factors -- Impact of the COVID- 19 on Consumer Behavior Towards Organic Food in India -- Socio-economic Impacts and Opportunities of COVID-19 for Nepal -- Strategic Decision in Long and Short-Run For Cross Country Commodity Market In the Post-COVID 19 Era -- Prediction of Novel Coronavirus (nCoVid19) Propagation Based on SEIR, ARIMA and Prophet Model -- Innovative Strategies to Understand and Control COVID-19 Disease -- An Investigation on COVID 19 Using Big Data Analytics and Artificial Intelligence -- Rise of Online Teaching and Learning Processes During COVID-19 Pandemic -- Robotic Technology for Pandemic Situation -- Machine Learning Tools to Predict the Impact of Quarantine. | |
| 520 | 3 | _aThis book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic. | |
| 988 | _aSpringer_Robotics_2021 | ||
| 650 | 7 |
_2embne _aCOVID-19 _9683668 |
|
| 650 | 7 |
_2embne _9670612 _aEpidemias |
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| 700 | 1 |
_aKhosla, Praveen Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aMittal, Mamta _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aSharma, Dolly _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aGoyal, Lalit Mohan _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9789813342354 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789813342378 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789813342385 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-4236-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b04/2021 _dz _eIG _zSI |
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