U
Usman Ullah Sheikh
Researcher at Universiti Teknologi Malaysia
Publications - 141
Citations - 1304
Usman Ullah Sheikh is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 15, co-authored 119 publications receiving 699 citations. Previous affiliations of Usman Ullah Sheikh include Universiti Malaysia Perlis.
Papers
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Journal ArticleDOI
A Survey of Free Space Optics (FSO) Communication Systems, Links, and Networks
Samir A. Al-Gailani,Mohd Fadzli Mohd Salleh,Ali. A. Salem,Redhwan Q. Shaddad,Usman Ullah Sheikh,Nasir A. Al-geelani,Tarik Adnan Almohamad +6 more
TL;DR: In this paper, the authors provided fundamental concepts across all types of free space optical (FSO) system, including system architecture comprising of single beam and multiple beams, and further expanded into the investigation of rain and haze effects toward FSO signal propagation.
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Exploring Deep Learning-Based Architecture, Strategies, Applications and Current Trends in Generic Object Detection: A Comprehensive Review
TL;DR: A comprehensive survey of recent advances in visual object detection with deep learning, focusing on the application of deep learning architectures to five major applications, namely Object Detection in Surveillance, Military, Transportation, Medical, and Daily Life.
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Near infrared face recognition using Zernike moments and Hermite kernels
TL;DR: Experimental results on CASIA NIR and PolyU NIR face databases clearly show that the proposed face recognition method achieves significantly higher face recognition accuracy compared with existing methods.
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Micro-expression recognition: an updated review of current trends, challenges and solutions
TL;DR: A comprehensive state-of-the-art analysis of micro-expression recognition and detection challenges are provided and possible extensions to basic methods, highlight, and predict emerging trends are provided.
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Ensemble Bagged Tree Based Classification for Reducing Non-Technical Losses in Multan Electric Power Company of Pakistan
Muhammad Salman Saeed,Mohd Wazir Mustafa,Usman Ullah Sheikh,Touqeer Ahmed Jumani,Nayyar Hussain Mirjat +4 more
TL;DR: A new approach for NTL detection in PDCs by using the ensemble bagged tree (EBT) algorithm, an ensemble of many decision trees which considerably improves the classification performance of many individual decision trees by combining their predictions to reach a final decision.