Institution
University of Engineering and Technology, Peshawar
Education•Peshawar, Pakistan•
About: University of Engineering and Technology, Peshawar is a education organization based out in Peshawar, Pakistan. It is known for research contribution in the topics: Nonlinear system & Antenna (radio). The organization has 1208 authors who have published 1770 publications receiving 18571 citations.
Papers published on a yearly basis
Papers
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TL;DR: The aim of this paper is to propose a robust technique for automatic detection of COVID-19 pneumonia from digital chest X-ray images applying pre-trained deep-learning algorithms while maximizing the detection accuracy.
Abstract: Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 infection with high accuracy can be crucially helpful to the healthcare professionals. The main clinical tool currently in use for the diagnosis of COVID-19 is the Reverse transcription polymerase chain reaction (RT-PCR), which is expensive, less-sensitive and requires specialized medical personnel. X-ray imaging is an easily accessible tool that can be an excellent alternative in the COVID-19 diagnosis. This research was taken to investigate the utility of artificial intelligence (AI) in the rapid and accurate detection of COVID-19 from chest X-ray images. The aim of this paper is to propose a robust technique for automatic detection of COVID-19 pneumonia from digital chest X-ray images applying pre-trained deep-learning algorithms while maximizing the detection accuracy. A public database was created by the authors combining several public databases and also by collecting images from recently published articles. The database contains a mixture of 423 COVID-19, 1485 viral pneumonia, and 1579 normal chest X-ray images. Transfer learning technique was used with the help of image augmentation to train and validate several pre-trained deep Convolutional Neural Networks (CNNs). The networks were trained to classify two different schemes: i) normal and COVID-19 pneumonia; ii) normal, viral and COVID-19 pneumonia with and without image augmentation. The classification accuracy, precision, sensitivity, and specificity for both the schemes were 99.7%, 99.7%, 99.7% and 99.55% and 97.9%, 97.95%, 97.9%, and 98.8%, respectively. The high accuracy of this computer-aided diagnostic tool can significantly improve the speed and accuracy of COVID-19 diagnosis. This would be extremely useful in this pandemic where disease burden and need for preventive measures are at odds with available resources.
1,117 citations
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TL;DR: In this paper, temperature dependent thermal conductivity in stagnation point flow toward a nonlinear stretched surface with variable thickness is considered, and convergence series solution for flow of Jeffrey fluid and heat and mass transfer are developed.
649 citations
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TL;DR: A brief overview of latest research involving the use of lateral flow assay for qualitative and quantitative analysis in different areas is provided in this article, where the excellent features and versatility of detection formats make these strips an ideal choice for point of care applications.
559 citations
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TL;DR: This study comprehensively surveys and classifies the various attributes of Big data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security, and proposes a data life cycle that uses the technologies and terminologies of Big Data.
Abstract: Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2 billion people worldwide are connected to the Internet, and over 5 billion individuals own mobile phones. By 2020, 50 billion devices are expected to be connected to the Internet. At this point, predicted data production will be 44 times greater than that in 2009. As information is transferred and shared at light speed on optic fiber and wireless networks, the volume of data and the speed of market growth increase. However, the fast growth rate of such large data generates numerous challenges, such as the rapid growth of data, transfer speed, diverse data, and security. Nonetheless, Big Data is still in its infancy stage, and the domain has not been reviewed in general. Hence, this study comprehensively surveys and classifies the various attributes of Big Data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security. This study also proposes a data life cycle that uses the technologies and terminologies of Big Data. Future research directions in this field are determined based on opportunities and several open issues in Big Data domination. These research directions facilitate the exploration of the domain and the development of optimal techniques to address Big Data.
419 citations
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TL;DR: In this article, the authors address magnetohydrodynamics (MHD) flow of micropolar liquid towards nonlinear stretched surface with viscous dissipation, Joule heating and convective boundary condition.
415 citations
Authors
Showing all 1224 results
Name | H-index | Papers | Citations |
---|---|---|---|
Tasawar Hayat | 116 | 2364 | 84041 |
M. A. Shah | 92 | 583 | 37099 |
Zahoor Ali Khan | 75 | 482 | 48253 |
Muhammad Riaz | 58 | 934 | 15927 |
Md. Mizanur Rahman | 44 | 350 | 7123 |
Irfan Ullah | 42 | 296 | 18531 |
Haseeb A. Khan | 32 | 300 | 4054 |
Farhad Zamani | 28 | 194 | 2723 |
Mohd Razman Salim | 28 | 115 | 3549 |
Aftab Aslam Parwaz Khan | 27 | 215 | 3208 |
Naeem Khan | 27 | 146 | 2709 |
Muhammad Imran Khan | 27 | 46 | 2444 |
T. Aaron Gulliver | 27 | 526 | 3966 |
Robert Sablatnig | 27 | 194 | 2654 |
Siraj-ul-Islam | 26 | 72 | 1796 |