Articoli correlati a Prediction of COVID-19 using Convolution Neural Network:...
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Prediction of COVID-19 using Convolution Neural Network:...
Immagini fornite dal venditore
Prediction of COVID-19 using Convolution Neural Network
Editore:
LAP LAMBERT Academic Publishing Jan 2023, 2023
ISBN 10: 620563953X
ISBN 13: 9786205639535
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 52 pp. Englisch. Codice articolo 9786205639535
Compra nuovo
EUR 43,90
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Prediction of COVID-19 using Convolution Neural Network
Editore:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620563953X
ISBN 13: 9786205639535
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 817443401
Compra nuovo
EUR 35,62
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Prediction of COVID-19 using Convolution Neural Network : COVID-19 prediction
Editore:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620563953X
ISBN 13: 9786205639535
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9786205639535
Compra nuovo
EUR 49,63
Spedizione EUR 35,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Prediction of COVID-19 using Convolution Neural Network
Editore:
LAP LAMBERT Academic Publishing Jan 2023, 2023
ISBN 10: 620563953X
ISBN 13: 9786205639535
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Codice articolo 9786205639535
Compra nuovo
EUR 43,90
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili