Use of AI, Robotics and Modelling tools to fight Covid-19
Editat de Arpit Jain, Abhinav Sharma, Jianwu Wang, Mangey Ramen Limba Engleză Hardback – 31 mar 2021
AI technology is useful for fast drug development and treatment. In the starting phase of COVID-19 pandemic, the medical fraternity in China diagnosed the virus using computed tomography (CT) and X-ray images due to the limitation of testing kits. Deep learning neural network model have also been used for COVID-19 diagnosis. AI assisted intelligent humanoid robots can be used to reduce the human contact and spread of COVID-19. In Italy robots have been used for measuring blood pressure, oxygen saturation and temperature of patients. Robots have also found applications in disinfecting and sterilizing of public places, COVID-19 testing, food and medicine delivery as well as entertaining patients in hospitals and quarantine centers, thereby reducing the workload of doctors and nurses.
Prediction of the spread of virus and providing the guidelines or prevention measures is another AI application in COVID-19. Kaggle and GitHub are the two websites where the real-time data of COVID-19 is aggregated. This includes confirmed cases, active cases, cured cases and deaths in each country. This data set can be used for predicting the active cases across different regions of the world so that appropriate amount of health infrastructure can be made available to these places.
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Specificații
ISBN-13: 9788770224437
ISBN-10: 8770224439
Pagini: 246
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.48 kg
Ediția:1
Editura: River Publishers
Colecția River Publishers
ISBN-10: 8770224439
Pagini: 246
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.48 kg
Ediția:1
Editura: River Publishers
Colecția River Publishers
Cuprins
Use of AI, Robotics and Modelling tools to fight Covid-19
Notă biografică
Arpit Jain, Abhinav Sharma, Jianwu Wang, Mangey Ram
Descriere
This includes confirmed cases, active cases, cured cases and deaths in each country. This data set can be used for predicting the active cases across different regions of the world so that appropriate amount of health infrastructure can be made available to these places.