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Azam Beg
Researcher at College of Information Technology
Publications - 92
Citations - 524
Azam Beg is an academic researcher from College of Information Technology. The author has contributed to research in topics: CMOS & Logic gate. The author has an hindex of 11, co-authored 92 publications receiving 457 citations. Previous affiliations of Azam Beg include United Arab Emirates University & Intel.
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Deep learning neural networks for medical image segmentation of brain tumours for diagnosis: a recent review and taxonomy
TL;DR: A taxonomy consisting of ‘Data, Image segmentation processing, and View’ (DIV) which are the major components required to develop a high-end system for brain tumour diagnosis based on deep learning neural networks is introduced.
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Upregulation and inhibition of the nuclear translocation of Oct4 during multistep gastric carcinogenesis
Fathyia Y Al-Marzoqee,Ghalia Khoder,Haifa Al-Awadhi,Rony John,Azam Beg,Áron Vincze,Frank Branicki,Sherif M. Karam +7 more
TL;DR: An alteration in the expression pattern and nuclear translocation of Oct4 during multistep gastric carcinogenesis is demonstrated and may be helpful in designing new modalities for the early detection and/or therapy of gastric cancer.
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GREDA: A Fast and More Accurate Gate Reliability EDA Tool
TL;DR: This paper introduces a gate reliability EDA tool (GREDA) that is able to estimate more accurately the reliability of CMOS gates by considering: 1) the gate's topology; 2) the variable probability of failure of the individual devices (PFDEV); 3) the applied input vector; 4)The reliability of the input signals; and 5) the input voltage variations.
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Using simulators for teaching computer organization and architecture
TL;DR: It is demonstrated that the use of simulators helped students understand better how a computer was constructed and how it functioned internally.
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Designing a Comprehensive Security Framework for Smartphones and Mobile Devices
TL;DR: This work investigates issues and challenges of cyber security, specifically malware targeting mobile devices, and analyzes and discusses related malware and presents a comprehensive security solution that addresses the security from malware threats.