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Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN.
Kandhro, Irfan Ali; Uddin, Mueen; Hussain, Saddam; Chaudhery, Touseef Javed; Shorfuzzaman, Mohammad; Meshref, Hossam; Albalhaq, Maha; Alsaqour, Raed; Khalaf, Osamah Ibrahim.
Afiliación
  • Kandhro IA; Department of Computer Science, Sindh Madressatul Islam University, Karachi, Pakistan.
  • Uddin M; College of Computing and IT, University of Doha for Science and Technology, Doha, Qatar.
  • Hussain S; Department of Information Technology, Hazara University, Mansehra 21120, KP, Pakistan.
  • Chaudhery TJ; National University of Modern Languages, Islamabad, Pakistan.
  • Shorfuzzaman M; Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia.
  • Meshref H; Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia.
  • Albalhaq M; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Alsaqour R; Department of Information Technology, College of Computing and Informatics, Saudi Electronic University, 93499, Riyadh, Saudi Arabia.
  • Khalaf OI; Al-Nahrain University, Al-Nahrain Nanorenewable Energy Research Center Baghdad, Baghdad, Iraq.
Comput Intell Neurosci ; 2022: 3098604, 2022.
Article en En | MEDLINE | ID: mdl-35755731
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Expresión Facial / Reconocimiento Facial Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Expresión Facial / Reconocimiento Facial Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Estados Unidos