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Farooque Azam

Researcher at University of the Sciences

Publications -  182
Citations -  1536

Farooque Azam is an academic researcher from University of the Sciences. The author has contributed to research in topics: Unified Modeling Language & Software development. The author has an hindex of 13, co-authored 163 publications receiving 1047 citations. Previous affiliations of Farooque Azam include National University of Sciences and Technology & Beihang University.

Papers
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Journal ArticleDOI

Detection and classification of retinal lesions for grading of diabetic retinopathy

TL;DR: An extension of the m-Mediods based modeling approach is presented, and combines it with a Gaussian Mixture Model in an ensemble to form a hybrid classifier to improve the accuracy of the classification.
Posted ContentDOI

Hybrid PV-Wind Micro-Grid Development Using Quasi-Z-Source Inverter Modeling and Control –Experimental Investigation

TL;DR: A modified power ratio variable step (MPRVS) based perturb & observe (P&O) method has been proposed in the PV MPPT action which forces the operating point close to maximum power point (MPP).
Journal ArticleDOI

A Systematic Review on Code Clone Detection

TL;DR: There is a need to develop novel approaches with complete tool support in order to detect all four types of clones collectively and it is also required to introduce more approaches to simplify the development of a program dependency graph (PDG) while dealing with the detection of the type4 clones.
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Database Security and Encryption: A Survey Study

TL;DR: This survey was conducted to identify the issues and threats in database security, requirements ofdatabase security, and how encryption is used at different levels to provide the security.
Proceedings ArticleDOI

An iterative approach for global requirements elicitation: A case study analysis

TL;DR: An iterative framework for elicitation (IRE) in Requirements engineering is proposed and results show that IRE approach is more effective in satisfying the customer requirements than existing elicitation approaches.