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A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network.
Bhuiyan, Md Roman; Abdullah, Junaidi; Hashim, Noramiza; Al Farid, Fahmid; Ahsanul Haque, Mohammad; Uddin, Jia; Mohd Isa, Wan Noorshahida; Husen, Mohd Nizam; Abdullah, Norra.
Afiliação
  • Bhuiyan MR; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selengor, Malaysia.
  • Abdullah J; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selengor, Malaysia.
  • Hashim N; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selengor, Malaysia.
  • Al Farid F; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selengor, Malaysia.
  • Ahsanul Haque M; Data Scientist and Machine Learning Developer, Aalborg University, Aalborg, Aalborg, Denmark.
  • Uddin J; Technology Studies Department, Woosong University, Daejeon, South Korea.
  • Mohd Isa WN; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selengor, Malaysia.
  • Husen MN; Information Technology, Malaysian Institute of Information Technology Universiti Kuala Lumpur, Kuala Lumpur, Malaysia.
  • Abdullah N; Computer Science, WSA Venture Australia (M) Sdn Bhd, Cyberjaya, Malaysia.
PeerJ Comput Sci ; 8: e895, 2022.
Article em En | MEDLINE | ID: mdl-35494812
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article