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Name : Yaser Salah

Academic Rank: Assistant Professor

Administrative Position : Faculty Academic Member

Office 7308       Ext No 7308

Email : yaser.saleh@uop.edu.jo

Specialization: Computer Science

Graduate Of: Loughborough University

Qualification

    Qualification

    University

    Country

    Year

    Bachelor
    University Of Petra
    Jordan
    2011
    Master's
    Princess Sumaya University for Technology
    Jordan
    2014
    Ph.D
    Loughborough University
    United Kingdom
    2017



  • Journal Paper





      Yaser Saleh, Nesreen Otoum, " Road-Type Classification through Deep Learning Networks Fine-Tuning " , "Journal of Information & Knowledge Management",Vol.19,No., World Scientific Publishing Company, Amman, Jordan, 03/11/2020


  • Conference paper





      Yaser Saleh, Eran Edirisinghe, " Novel approach to enhance face recognition using depth maps " , "Systems, Signals and Image Processing (IWSSIP), 2016 International Conference on",Vol.,No., IEEE, , 07/04/2016 Abstract:
      Face recognition, although being a popular area of research and study, still has many challenges, and with the appearance of the Microsoft Kinect device, new possibilities of research were uncovered, one of which is face recognition using the Kinect. With the goal of enhancing face recognition, this




      Yaser Saleh, Eran Edirisinghe, " 3D face reconstruction and recognition using the overfeat network " , "Information and Communication Systems (ICICS), 2017 8th International Conference on",Vol.,No., IEEE, , 05/11/2017 Abstract:
      Although face recognition is considered a popular area of research and study, it still has few unresolved challenges, and with the appearance of devices such as the Microsoft Kinect, new possibilities for researchers were uncovered. With the goal of enhancing face recognition techniques, this paper




      Yaser Saleh, " DEPTH FACE RECOGNITION THROUGH DEEP LEARNING NETWORKS FINE-TUNING " , "Proceedings of Academicsera 18th International Conference",Vol.7,No., WorldResearchLibrary, Sydney, Australia, 05/06/2018 Abstract:
      Face recognition still has many challenges, and with the appearance of the Microsoft Kinect device, new potentials of research were discovered, trying to use the Kinect depth maps as a data source to recognize human faces was considered an interesting research area, mainly because the Kinect could p Download
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