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Multi-Stage Temporal Convolution Network for COVID-19 Variant Classification.
Ullah, Waseem; Ullah, Amin; Malik, Khalid Mahmood; Saudagar, Abdul Khader Jilani; Khan, Muhammad Badruddin; Hasanat, Mozaherul Hoque Abul; AlTameem, Abdullah; AlKhathami, Mohammed.
Afiliação
  • Ullah W; Department of Software, Sejong University, Seoul 05006, Korea.
  • Ullah A; CORIS Institute, Oregon State University, Corvallis, OR 97331, USA.
  • Malik KM; Department of Computer Science and Engineering, Oakland University, Rochester, MI 48309, USA.
  • Saudagar AKJ; Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia.
  • Khan MB; Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia.
  • Hasanat MHA; Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia.
  • AlTameem A; Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia.
  • AlKhathami M; Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia.
Diagnostics (Basel) ; 12(11)2022 Nov 09.
Article em En | MEDLINE | ID: mdl-36359579

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article