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.
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Robust Collaborative Filtering Recommendation With User-Item-Trust Records
TL;DR: This work proposes the Hybrid Collaborative Filtering Recommendation approach with User-Item-Trust Records (UIThybrid), a novel approach that incorporates user trust into the existing CF-based methods in a harmonious way to supplement rating information.
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Intelligent Offloading for Collaborative Smart City Services in Edge Computing
TL;DR: An intelligent offloading method (IOM) for smart city, realizing privacy preservation, improving offloading efficiency, and promoting edge utility, is proposed, and the information entropy mechanism is employed to be integrated with edge computing to obtain the balance between privacy preservation and collaborative service performance.
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Bidirectional GRU networks-based next POI category prediction for healthcare
Yuwen Liu,Zuolong Song,Xiaolong Xu,Wajid Rafique,Xuyun Zhang,Jun Shen,Mohammad Reza Khosravi,Mohammad Reza Khosravi,Lianyong Qi +8 more
TL;DR: This work combines the attention mechanism with bidirectional GRU to selectively focus on historical check‐in records, which can improve the interpretability of the model and alleviate the data sparsity, and protect users' location privacy.
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Workload Allocation in IoT-Fog-Cloud Architecture Using a Multi-Objective Genetic Algorithm
TL;DR: By using the proposed algorithm for workload allocation in a fog-cloud scenario, both of energy-consumption and delay can be improved and by allocating 25% of the IoT workloads to fog devices, the energy consumption and delay are both minimized.
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UAV-Assisted Vehicular Edge Computing for the 6G Internet of Vehicles: Architecture, Intelligence, and Challenges
TL;DR: In this paper, an intelligent unmanned aerial vehicle (UAV)-assisted vehicular edge computing (VEC) system is envisioned to satisfy 6G V2X requirements and provide 3D and adaptive service coverage.