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Muhammad Fazal Ijaz

Researcher at Sejong University

Publications -  71
Citations -  2200

Muhammad Fazal Ijaz is an academic researcher from Sejong University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 12, co-authored 35 publications receiving 436 citations. Previous affiliations of Muhammad Fazal Ijaz include Dongguk University.

Papers
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Guidance Image-Based Enhanced Matched Filter with Modified Thresholding for Blood Vessel Extraction

TL;DR: A joint model of a fast guided filter and a matched filter is suggested for enhancing abnormal retinal images containing low vessel contrasts, shown to be an established technique for vessel extraction in diabetic retinopathy.
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Constituents and Consequences of Online-Shopping in Sustainable E-Business: An Experimental Study of Online-Shopping Malls

TL;DR: Wang et al. as discussed by the authors proposed a unified information system-consumer behavior (IS-CB) model for online shopping to analyze factors that impact online shopping, and used an online survey to gather data from 633 online customers to test the theoretical model, matching differences using structural equation modeling.
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Efficient Middleware for the Portability of PaaS Services Consuming Applications among Heterogeneous Clouds

TL;DR: A middleware platform to mitigate the application portability issue among clouds is proposed and shows that adding this middleware mildly affects the latency, but it dramatically reduces the developer’s overhead of implementing each service for different clouds to make it portable.
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An Optimized Framework for Energy-Resource Allocation in A Cloud Environment based on the Whale Optimization Algorithm.

TL;DR: In this article, the authors used various optimization algorithms such as particle swarm optimization, cat swarm optimization (CSO), BAT, cuckoo search algorithm (CSA) optimization algorithm and the whale optimization algorithm (WOA) for balancing the load, energy efficiency, and better resource scheduling to make an efficient cloud environment.
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An Optimized Framework for WSN Routing in the Context of Industry 4.0.

TL;DR: In this paper, the authors presented a new version of the standard Optimized Link State Routing (OLSR) protocol for Smart Grid (SGs) to improve the management of control intervals that enhance the efficiency of the OLSR protocol without affecting its reliability.