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Real-time prediction of disc cutter wear in low-abrasive rocks: integrating physico-mechanical properties and signal processing features through machine learning methods
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
mohsen bagheri
Applying Data Mining In Medical Data with Focus on Mortality Related to Accident in Children
Performance evaluation of thermal power plants considering CO2 emission: A multistage PCA, clustering, game theory and data envelopment analysis
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2014-Roozbahani.M.
Courses
Philosophical logic
Sayed pooya Hashemi
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Integration of Sentinel-1/2 and topographic attributes to predict the spatial distribution of soil texture fractions in some agricultural soils of western Iran
Integration of Sentinel-1/2 and topographic attributes to predict the spatial distribution of soil texture fractions in some agricultural soils of western Iran
Itema Group Weaving Machines