IVJul 1, 2022
Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray ImagesZeba Ghaffar, Pir Masoom Shah, Hikmat Khan et al.
The ongoing COVID-19 pandemic has already taken millions of lives and damaged economies across the globe. Most COVID-19 deaths and economic losses are reported from densely crowded cities. It is comprehensible that the effective control and prevention of epidemic/pandemic infectious diseases is vital. According to WHO, testing and diagnosis is the best strategy to control pandemics. Scientists worldwide are attempting to develop various innovative and cost-efficient methods to speed up the testing process. This paper comprehensively evaluates the applicability of the recent top ten state-of-the-art Deep Convolutional Neural Networks (CNNs) for automatically detecting COVID-19 infection using chest X-ray images. Moreover, it provides a comparative analysis of these models in terms of accuracy. This study identifies the effective methodologies to control and prevent infectious respiratory diseases. Our trained models have demonstrated outstanding results in classifying the COVID-19 infected chest x-rays. In particular, our trained models MobileNet, EfficentNet, and InceptionV3 achieved a classification average accuracy of 95\%, 95\%, and 94\% test set for COVID-19 class classification, respectively. Thus, it can be beneficial for clinical practitioners and radiologists to speed up the testing, detection, and follow-up of COVID-19 cases.
HCJun 27, 2012
An Evolutionary Study of Rich Mobile ApplicationsSaeid Abolfazli, Zohre Sanaei, Muhammad Shiraz et al.
Delivering Rich User eXperience (RUX) with the current explosion of smartphone as real ubiquitous computing device requires adaptive application architecture. Rich Mobile Application (RMA) is likely the candidate architecture for future mobile applications to deliver rich, immersive experience to the smartphone users. Research and development in domain of RMA has started and results are appearing in literature which advocates its future trend and encourages review of RMAs. This article aims to present overview of RMA and states clear distinction between Rich Internet Applications (RIAs) - that are desktop-like Web applications - and RMAs to facilitate and accelerate development of smartphone-centric application development tools and technologies. RMAs are defined, their comprehensive overview is presented, and current trends are described. Our study shows that despite of literal similarity of RMA and RIA, they have dissimilar inward architectures. Implicitly, understanding the distinctions between richness delivery in PCs and smartphones as well as knowledge of inward similarity and difference between RIAs and RMAs contribute toward development of enhanced smartphone's applications to deliver RUX to mobile clients.
DCJun 27, 2012
MOMCC: Market-Oriented Architecture for Mobile Cloud Computing Based on Service Oriented ArchitectureSaeid Abolfazli, Zohreh Sanaei, Abdullah Gani et al.
The vision of augmenting computing capabilities of mobile devices, especially smartphones with least cost is likely transforming to reality leveraging cloud computing. Cloud exploitation by mobile devices breeds a new research domain called Mobile Cloud Computing (MCC). However, issues like portability and interoperability should be addressed for mobile augmentation which is a non-trivial task using component-based approaches. Service Oriented Architecture (SOA) is a promising design philosophy embraced by mobile computing and cloud computing communities to stimulate portable, complex application using prefabricated building blocks called Services. Utilizing distant cloud resources to host and run Services is hampered by long WAN latency. Exploiting mobile devices in vicinity alleviates long WAN latency, while creates new set of issues like Service publishing and discovery as well as client-server security, reliability, and Service availability. In this paper, we propose a market-oriented architecture based on SOA to stimulate publishing, discovering, and hosting Services on nearby mobiles, which reduces long WAN latency and creates a business opportunity that encourages mobile owners to embrace Service hosting. Group of mobile phones simulate a nearby cloud computing platform. We create new role of \textit{Service host} by enabling unskilled mobile owners/users to host Services developed by skilled developers. Evidently, Service availability, reliability, and Service-oriented mobile application portability will increase towards green ubiquitous computing in our mobile cloud infrastructure.