Mohammad Rezaei
University of Kurdistan
43 Papers
39 Citations
Mohammad Rezaei is an academic researcher from University of Kurdistan. The author has contributed to research in topics: Longwall mining & Computer science. The author has an hindex of 16, co-authored 35 publications. Previous affiliations of Mohammad Rezaei include University of Texas at Arlington & University College of Engineering.
Chat about Author
Papers
Groundwater spring potential mapping using bivariate statistical model and GIS in the Taleghan Watershed, Iran
D. Davoodi Moghaddam,Mohammad Rezaei,Hamid Reza Pourghasemi,Z. S. Pourtaghie,Biswajeet Pradhan +4 more
TL;DR: In this paper, the authors used a bivariate statistical model (frequency ratio) and geographical information system (GIS) in the Taleghan Watershed, Alborz Province, Iran.
236
Development of a fuzzy model to predict flyrock in surface mining
TL;DR: In this paper, a Mamdani fuzzy model was developed to predict flyrock in the Gol-E-Gohar iron mine of Iran, which is one of the most hazardous side effects of blasting operation in surface mining.
152
An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in longwall coal mining
TL;DR: An intelligent approach based on the Mamdani fuzzy model was utilized to predict UCS of rock surrounding access tunnels in longwall coal mining, and it was concluded that performance of fuzzy model is considerably better than statistical model.
105
Determination of Longwall Mining-Induced Stress Using the Strain Energy Method
TL;DR: In this article, an analytical model based on the strain energy balance in longwall coal mining is developed to determine the mining-induced stress over gates and pillars in Tabas coal mine of Iran.
104
Developing a least squares support vector machine for estimating the blast-induced flyrock
TL;DR: In this paper, the applicability of least squares support vector machines (LS-SVM) for estimating the blast-induced flyrock was presented, and the models performance was compared by several statistical criteria such as R square (R 2 ) and mean square error (MSE).
97