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Skip Navigation Links الرئيسية : التفاصيل
             
الإسم : ياسر صالح

الرتبة العلمية: أستاذ مساعد

المسمى الوظيفي: عضو هيئة تدريسية

المكتب 7308       الرقم الفرعي 7308

بريد الكتروني: yaser.saleh@uop.edu.jo

التخصص: علم الحاسوب

جامعة التخرج: جامعة لفبرا

المؤهل العلمي

    المؤهل العلمي

    الجامعة

    البلد

    سنة الحصول على المؤهل

    البكالوريوس
    University Of Petra
    الاردن
    2011
    الماجستير
    Princess Sumaya University for Technology
    الاردن
    2014
    الدكتوراه
    جامعة لفبرا
    المملكه المتحدة
    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




      Yaser Saleh, Ghassa Issa, " Arabic sign language recognition through deep neural networks fine-tuning " , "International Journal of Online and Biomedical Engineering (iJOE)",Vol.16,No., Kassel University Press GmbH, Germany, 05/14/2020 :الملخص
      Sign Language is considered the main communication tool for deaf or hearing impaired people. It is a visual language that uses hands and other parts of the body to provide people who are in need to full access of communication with the world. Accordingly, the automation of sign language recognition


  • 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 :الملخص
      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 :الملخص
      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 :الملخص
      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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