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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Journal ArticleDOI
Privacy-Aware Data Fusion and Prediction With Spatial-Temporal Context for Smart City Industrial Environment
Lianyong Qi,Chunhua Hu,Xuyun Zhang,Mohammad Reza Khosravi,Suraj Sharma,Shaoning Pang,Tian Wang +6 more
TL;DR: A novel privacy-aware data fusion and prediction approach for the smart city industrial environment is put forward in this article, which is based on the classic locality-sensitive hashing technique and Experimental results show better prediction performances of the approach compared to other competitive ones.
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A Secure and Efficient Lightweight Symmetric Encryption Scheme for Transfer of Text Files between Embedded IoT Devices
TL;DR: A novel tiny symmetric encryption algorithm (NTSA) is proposed which provides enhanced security for the transfer of text files through the IoT network by introducing additional key confusions dynamically for each round of encryption.
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Edge Server Quantification and Placement for Offloading Social Media Services in Industrial Cognitive IoV
Xiaolong Xu,Bowen Shen,Xiaochun Yin,Mohammad Reza Khosravi,Huaming Wu,Lianyong Qi,Shaohua Wan +6 more
TL;DR: A collaborative method for the quantification and placement of ESs, named CQP, is developed for social media services in industrial CIoV, and is evaluated with a real-world ITS social media data set from China.
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Service Offloading With Deep Q-Network for Digital Twinning-Empowered Internet of Vehicles in Edge Computing
Xiaolong Xu,Bowen Shen,Sheng Ding,Gautam Srivastava,Muhammad Bilal,Mohammad Reza Khosravi,Varun G. Menon,Mian Ahmad Jan,Maoli Wang +8 more
TL;DR: A service offloading (SOL) method with deep reinforcement learning, is proposed for DT-empowered IoV in edge computing, which leverages deep Q-network (DQN), which combines the value function approximation of deep learning and reinforcement learning.
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An efficient parallel genetic algorithm solution for vehicle routing problem in cloud implementation of the intelligent transportation systems
Mahdi Abbasi,Milad Rafiee,Mohammad Reza Khosravi,Mohammad Reza Khosravi,Alireza Jolfaei,Varun G. Menon,Javad Mokhtari Koushyar +6 more
TL;DR: A novel parallelization method of genetic algorithm (GA) solution of the Traveling Salesman Problem (TSP) is presented and the results confirm the efficiency of the proposed method for parallelizing GAs on many-core as well as on multi-core systems.