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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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An edge computing framework based on OFDM radar for low grazing angle target tracking

TL;DR: This paper uses the optimized OFDM waveform and proposes a novel target tracking procedure for low grazing angle target tracking scenarios and shows that using an OFDM radar waveform provides a more uniform detection coverage in the presence of multipath propagation.
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A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles

TL;DR: The results of experimentations using synthetic data have shown that the proposed Bag-of-Power-States model is computationally feasible and provides useful results for optimizing the scheduling of power supply to charging stations that may be located across a wide range of distances, over the same period of time.
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Design of a reservoir for cloud-enabled echo state network with high clustering coefficient

TL;DR: It is demonstrated that new clustered reservoirs have some specifications of biologic neural systems and complex networks like average short path length, high clustering coefficient, and power-law distribution and can approximate nonlinear dynamical systems and predict the chaotic time series.
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A Survey on Underwater Acoustic Sensor Networks: Perspectives on Protocol Design for Signaling, MAC and Routing

TL;DR: In this article, the authors discuss the characteristics of the acoustic channel and the corresponding challenges of it and discuss about the different layers e.g. MAC protocols, routing protocols, and signal processing for the application layer of UASNs.
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MRF-Based Multispectral Image Fusion Using an Adaptive Approach Based on Edge-Guided Interpolation

TL;DR: The discussed approach, i.e. image fusion, is the use of natural colors of an optical image for adding color to a grayscale satellite image which gives the ability for better observation of the HR image of OLI sensor of Landsat-8.