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| 003 | ES-MaUEC | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 211102s2022 si | s |||| 0|eng d | ||
| 020 | _a9789811654114 | ||
| 024 | 7 |
_a10.1007/978-981-16-5411-4 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aRA644 _b2022 EB |
|
| 245 | 0 | 0 |
_aContactless Healthcare Facilitation and Commodity Delivery Management During COVID 19 Pandemic _cedited by Mousmi Ajay Chaurasia, Stefan Mozar |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
|
| 300 |
_a1 recurso en línea (VIII, 162 páginas) _b73 ilustraciones, 61 ilustraciones a color |
||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aAdvanced Technologies and Societal Change _x2191-6861 |
|
| 505 | 0 | _aDetection of Coronavirus from Chest X-ray images using 2D Convolutional Neural Network -- Interpretation Of COVID 19 CT Scans -- Deep Learning-Based Prediction Of nCOVID-19 Disease Using Chest X-Ray Images (Cxris) -- Explainable Deep Learning Through Grad-Cam And Feature Visualization For The Detection Of Covid-19 In Chest X-Ray Images -- Preserving the Privacy Of Covid-19 Infected Patients Data Using A Divergent Scale Supervised Learning For Publishing The Informative Data -- Personal Cloud System for Hospital Data Management for storing Covid-19 Patients Records -- Strategies And Tools For Effective Suspicious Event Detection From Video: A Survey Perspective (COVID 19) -- Smart Water Purifier And Dispenser For Averting Spread Of COVID 19 Infection - machine Learning approach -- Impact Of Covid-19 On Power Sector -- Automated Navigation System With Indoor Assistance For Blind -- Estimation of Quantity and Nutritional Information of Food Using Image Processing. | |
| 520 | _aThis book offers concepts related to communication engineering principles to fight the current Covid situation, by developing contactless need-based solutions. COVID-19, a global pandemic makes us rethink how governments, organizations, and societies around the world can work with minimum or without physical contact. Technologies like artificial intelligence and big data are playing an essential role in responding to the COVID-19 pandemic. This book is a combination of chapters related to imaging and detective technologies used by the experts to fight the COVID-19 pandemic and a combination of interesting content covering the need of hour solutions generated through cutting edge technologies. In the absence of a proper medicine or vaccine, it is quite evident that nutrition plays an important role in the quick recovery of covid patients which must be very carefully planned with proper diagnostics. Data analysis and X-Ray/CT Image analysis by next-generation techniques like deep sensing, machine learning is interesting and useful for research and applied healthcare professionals. Research findings with a focus on diagnostics and reports generated through important data analysis in the book are quite useful and can be referred to by researchers and professionals working in the area of cutting-edge technologies against COVID 19. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _9683668 _aCOVID-19 |
|
| 650 | 7 |
_2embne _9139972 _aDiagnóstico por imagen |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9789811654107 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811654121 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811654138 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5411-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b03/2023 _dz _eu _zSI |
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