M
Mohammad Reza Khosravi
Researcher at Persian Gulf University
Publications - 144
Citations - 2503
Mohammad Reza Khosravi is an academic researcher from Persian Gulf University. The author has contributed to research in topics: Computer science & Network packet. The author has an hindex of 15, co-authored 115 publications receiving 929 citations. Previous affiliations of Mohammad Reza Khosravi include Shiraz University of Technology & Shiraz University.
Papers
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A Systematic Training Procedure for Viola-Jones Face Detector in Heterogeneous Computing Architecture
TL;DR: A trainset selection method based on histograms generated from AdaBoost and in addition, simple ways to select few features in beginning cascades are proposed.
Evaluation of Statistical and Nonlinear Adaptive Filters Performance for Noise Reduction of SAR Images
TL;DR: Conference Proceedings, International Congress of Electrical Engineering, Computer Science and Information Technology (IT2015), No. 3, pp. 352-362, SBU, Tehran, Iran.
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Spatial Interpolators for Intra-Frame Resampling of SAR Videos: A Comparative Study Using Real-Time HD, Medical and Radar Data
TL;DR: Comparisons show that there is a decidable trade-off among video codecs in terms of more similarity to a reference, preserving high frequency edge information and having low computational complexity.
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Alzheimer Disease Diagnosis from fMRI Images Based on Latent Low Rank Features and Support Vector Machine (SVM)
TL;DR: This work computed the time series of some anatomical regions and then applied the Latent Low Rank Representation method to extract suitable features and applied a Support Vector Machine (SVM) classifier to determine whether the patient belongs to healthy category, mild stage of the disease or Alzheimer stage.
Journal ArticleDOI
Cloud–edge cooperation for meteorological radar big data: a review of data quality control
Zhichen Hu,Zhichen Hu,Xiaolong Xu,Yulan Zhang,Hongsheng Tang,Yong Cheng,Cheng Qian,Mohammad Reza Khosravi,Mohammad Reza Khosravi +8 more
TL;DR: In this paper, a cloud-edge cooperation approach is proposed to combine the advantages of edge computing and cloud computing by taking full advantage of the computing resources distributed at the edge to provide service environment for users to satisfy the real-time demand.