Applying deep learning-based multi-modal for detection of coronavirus.

Rani, Geeta; Oza, Meet Ganpatlal; Dhaka, Vijaypal Singh; Pradhan, Nitesh; Verma, Sahil; Rodrigues, Joel J P C

Rani, Geeta; Oza, Meet Ganpatlal; Dhaka, Vijaypal Singh; Pradhan, Nitesh; Verma, Sahil; Rodrigues, Joel J P C.

Afiliación

Rani G; Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan India.
Oza MG; Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan India.
Dhaka VS; Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan India.
Pradhan N; Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, Rajasthan India.
Verma S; Department of Computer Science and Engineering, Chandigarh University, Mohali, 140413 India.
Rodrigues JJPC; Federal University of Piauí (UFPI) Teresina, Teresina, PI Brazil.

Multimed Syst ; 28(4): 1251-1262, 2022.

Article en En | MEDLINE | ID: mdl-34305327

Palabras clave

CNN; COVID-19; Deep learning; Drug; Genome matching; SARS-CoV-2

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Multimed Syst Año: 2022 Tipo del documento: Article Pais de publicación: Alemania

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