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Mahdi Hasanipanah et al.
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Marcel Luthi et al.
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V. F. Navarro Torres et al.
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Alireza Zendehboudi et al.
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Yude Yang et al.
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Jian Huang et al.
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Absalom E. Ezugwu et al.
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Hangxing Ding et al.
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Gang Ma et al.
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Ebrahim Ebrahimi et al.
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Mahdi Hasanipanah et al.
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Nhat-Duc Hoang et al.
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Jian Zhou et al.
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P. K. Singh et al.
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Application of fuzzy inference system for prediction of rock fragmentation induced by blasting
Samira Shams et al.
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Nabiollah Adibi et al.
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Abdolhossein Hemmati-Sarapardeh et al.
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Iman Enayatollahi et al.
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F. Faramarzi et al.
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Soohwan Kim et al.
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Iztok Fister et al.
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A. Sayadi et al.
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Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines
Zhou Jian et al.
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A. Bahrami et al.
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Jiri Nossent et al.
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Qingfu Zhang et al.
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M. Monjezi et al.
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Prediction of rock fragmentation due to blastingin Gol-E-Gohar iron mine using fuzzy logic
M. Monjezi et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)
Energy components in rock blasting
Jose A. Sanchidrian et al.
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Monte Carlo simulation as a tool to predict blasting fragmentation based on the Kuz-Ram model
MA Morin et al.
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Influence of explosive energy on the strength of the rock fragments and SAG mill throughput
S Michaux et al.
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Neighborhood based Levenberg-Marquardt algorithm for neural network training
G Lera et al.
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Stochastic gradient boosting
JH Friedman
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