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A quasi-Newton proximal bundle method using gradient sampling technique for minimizing nonsmooth convex functions
A new method based on the proximal bundle idea and gradient sampling technique for minimizing nonsmooth convex functions
Comparison of Infinite Fracture Model (IFM) and Discrete Fracture Network (DFN) for Estimating the Volume of In-Situ Blocks in Dimension Stone Mines with a Focus on UAV Photogrammetry
Safety analysis of Sormeh underground mine to improve sublevel stoping stability
Prediction of tunnel squeezing in soft sedimentary rocks by geoelectrical data
Obtaining the strength parameters of concrete using drilling data
An analytical model for estimating rock strength parameters from small scale drilling data
Estimating rock strength parameters using drilling data
Mining interpretable rules with MCRM: A novel rule mining algorithm with inherent feature selection and discretization
Enhancing Hysteretic Behavior in Rubberized Reinforced Concrete Beams Through a Pre-Mixing Technique
Enhancing Hysteretic Behavior in Rubberized Reinforced Concrete Beams Through a Pre-Mixing Technique
Enhancing Hysteretic Behavior in Rubberized Reinforced Concrete Beams Through a Pre-Mixing Technique
Enhanced Fault Detection and Classification in AC Microgrids Through a Combination of Data Processing Techniques and Deep Neural Networks
Saliva NIR spectroscopy and Aquaphotomics: a novel diagnostic approach to Paratuberculosis in dairy cattle
Estimation of genetic and non-genetic effects on productive life of Iranian Holstein dairy cows