M
Mohammad Reza Mosavi
Researcher at Iran University of Science and Technology
Publications - 245
Citations - 3747
Mohammad Reza Mosavi is an academic researcher from Iran University of Science and Technology. The author has contributed to research in topics: Global Positioning System & Artificial neural network. The author has an hindex of 22, co-authored 230 publications receiving 2388 citations. Previous affiliations of Mohammad Reza Mosavi include University of Science and Technology.
Papers
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Chimp optimization algorithm
TL;DR: A novel metaheuristic algorithm inspired by the individual intelligence and sexual motivation of chimps in their group hunting, which is different from the other social predators, is proposed, which indicates that the ChOA outperforms the other benchmark optimization algorithms.
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A simple, sensitive and secure image encryption algorithm based on hyper-chaotic system with only one round diffusion process
TL;DR: Based on hyper-chaotic system, a novel image encryption algorithm is introduced in this article, which can be realized easily in one round diffusion process and is computationally very simple while attaining high security level, high key sensitivity, high plaintext sensitivity and other properties simultaneously.
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A novel image encryption based on hash function with only two-round diffusion process
TL;DR: It is demonstrated that the 2D correlation coefficients (CC), peak signal-to-noise ratio (PSNR), encryption quality (EQ), entropy, mean absolute error (MAE) and decryption quality can satisfy security and performance requirements.
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A novel color image encryption algorithm based on spatial permutation and quantum chaotic map
TL;DR: The results of several experimental analyses about randomness, sensitivity and correlation of the cipher-images show that the proposed algorithm has high security level, high sensitivity and high speed which can be adopted for network security and secure communications.
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A review of fuzzy cognitive maps in medicine
TL;DR: This review study is conducted to identify different FCM structures used in MDSS designs and determine their contribution to the improvements made in the fields of medical diagnosis and treatment.