جامعة البترا | التفاصيل

الرئيسية

التفاصيل

الإسم : محمد فاشه

الرتبة العلمية: أستاذ مساعد

المسمى الوظيفي: عضو هيئة تدريسية

المكتب 9110 الرقم الفرعي

بريد الكتروني: mohammed.fasha@uop.edu.jo

التخصص: علم الحاسوب

جامعة التخرج: الجامعة الاردنية

تحميل السيرة الذاتية

المؤهل العلمي

المؤهل العلمي	الجامعة	البلد	سنة الحصول على المؤهل
البكالوريوس	جامعة مؤتة	الاردن	1996
الماجستير	جامعة ألستر	المملكه المتحدة	2002
الدكتوراه	الجامعة الاردنية	الاردن	2018

Journal Paper

Fasha, M., Obeid, N. & Hammo, B., Widian J., " A Hybrid Deep Learning Model for Arabic Text Recognition " , "International Journal of Advanced Computer Science and Applications",Vol.Vol. 11,No., The Science and Information (SAI) Organization, Saga University, Japan, 08/01/2020

:الملخص

Arabic text recognition is a challenging task because of the cursive nature of Arabic writing system, its joint writing scheme, the large number of ligatures and many other challenges. Deep Learning (DL) models achieved significant progress in numerous domains including computer vision and sequence Download

Fasha, M., Obeid, N. & Hammo, B.., " A PROPOSED MODEL FOR EXTRACTING INFORMATION FROM ARABIC-BASED CONTROLLED TEXT DOMAINS, DISCUSSING THE INITIAL MODEL STEPS " , "International Journal of Applied and Natural Sciences",Vol.7,No., IASET, NA, 03/01/2018

:الملخص

Information extraction from Arabic as well as other languages text is commonly implemented over restricted text domains. Approaching open text domains is challenging, because of the syntactic, semantic and pragmatics ambiguities and variations in text. For the purpose of approaching more relaxed v

Fasha, M, " A Proposed Adaptive Scheme for Arabic Part-of Speech Tagging " , "International Journal of Advanced Computer Science and Applications",Vol.8,No., IASET, Japan, 07/01/2017

:الملخص

This paper presents an Arabic-compliant part-of-speech (POS) tagging scheme based on using atomic tag markers that are grouped together using brackets. This scheme promotes the speedy production of annotations while preserving the richness of resultant annotations. The proposed scheme is comprised o Download

Conference paper

Fasha, M., Obeid, N. & Hammo, B.., " A Proposed Model for Extracting Information from Arabic-Based Controlled Text Domains " , "Proceedings of the New Trends in Information Technology (NTIT-2017). ,",Vol.1,No., The University of Jordan, Amman, 04/27/2017

Download