portada Prediction of COVID-19 using Convolution Neural Network (en Inglés)

Prediction of COVID-19 using Convolution Neural Network (en Inglés)

Formato

Libro Físico

Autor

Prathibhavani P. M.

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.3 cm

Peso

0.09 kg.

ISBN13

9786205639535

Categorías

Empresa y gestión

Prediction of COVID-19 using Convolution Neural Network (en Inglés)

Prathibhavani P. M. (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Prediction of COVID-19 using Convolution Neural Network (en Inglés)"

Convolutional Neural Networks (CNN) and Machine Learning (ML) have evolved a long way in the modern technological era. They are used in analysis and prediction of various segments of normal life. They have a greater advantage when it comes to understanding a process, sometimes even better than a human brain. The Virus that is generated as COVID-19 is mainly caused when a person coughs, sneeze or exhales and it is transmitted as a small particle to other bodies and form these viruses. One of the major tricks for stopping the spread of this covid-19 is social distancing and rapid testing. This rapid test will take 2-3 days of time to get the result of covid-19. This may trouble a large amount of people in terms of money and time. Therefore, with the advantage of CNN, devised a method to increase the efficiency of the testing process. X-rays and CT scans show considerable advantage in detecting COVID-19 in a person. COVID-19 affects the lungs primarily which could be caught in X-rays as a white overlay. Constructed a model that could identify whether the submitted X-ray is of a normal person or of a COVID-19 positive person.