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Vector mosquito image classification using novel RIFS feature selection and machine learning models for disease epidemiology.
Rustam, Furqan; Reshi, Aijaz Ahmad; Aljedaani, Wajdi; Alhossan, Abdulaziz; Ishaq, Abid; Shafi, Shabana; Lee, Ernesto; Alrabiah, Ziyad; Alsuwailem, Hessa; Ahmad, Ajaz; Rupapara, Vaibhav.
Afiliação
  • Rustam F; Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan.
  • Reshi AA; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Al Madinah Al Munawarah, Saudi Arabia.
  • Aljedaani W; Department of Computer Science and Engineering, University of North Texas, Denton, TX, USA.
  • Alhossan A; Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
  • Ishaq A; Corporate of Pharmacy Services, King Saud University Medical City, Riyadh, Saudi Arabia.
  • Shafi S; Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan.
  • Lee E; Department of Computer Science, College of Computer Science and Engineering, Taibah University, Al Madinah Al Munawarah, Saudi Arabia.
  • Alrabiah Z; Department of Computer Science, Broward College, Broward County, FL, USA.
  • Alsuwailem H; Baker College, Department of Business Administration, USA.
  • Ahmad A; Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
  • Rupapara V; Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Saudi J Biol Sci ; 29(1): 583-594, 2022 Jan.
Article em En | MEDLINE | ID: mdl-35002454
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Revista: Saudi J Biol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Paquistão
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Revista: Saudi J Biol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Paquistão