Arabic Alphabet Deaf Sign Gestures Recognition Based on Deep Machine Learning Methods

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dc.contributor.advisorعبد الله كمال
dc.contributor.authorعهود عادل سلامة الدرابيعar
dc.contributor.authorOhood Adel Salameh Darabeeen
dc.contributor.examinerبديع سرطاوي
dc.contributor.examinerاحمد حساسنة
dc.date.accessioned2020-06-14T09:22:07Z
dc.date.available2020-06-14T09:22:07Z
dc.date.issued2019-07-13
dc.identifier.citationDarabee، Ohood Adel. (2019). Arabic Alphabet Deaf Sign Gestures Recognition Based on Deep Machine Learning Methods [A published thesis, Al-Quds University, Palestine].Al-Quds University digital repository https://arab-scholars.com/f19cb2en
dc.identifier.other21311351
dc.identifier.urihttps://dspace.alquds.edu/handle/20.500.12213/5442
dc.language.isoen_US
dc.publisherAL-Quds Universityen
dc.publisherجامعة القدسar
dc.subjectعلم الحاسوبar
dc.subjectدراسات علياar
dc.subjectرسالة ماجستيرar
dc.subjectComputer Scienceen
dc.subjectHigher Studiesen
dc.subjectMaster Thesisen
dc.titleArabic Alphabet Deaf Sign Gestures Recognition Based on Deep Machine Learning Methodsar
dc.title تحليل وتمييز إشارات الصم والبكم باستخدام خوارزمية التعلم الآلي العميقen
dc.typeThesis
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