Publications
Talk · 55th U.S. Rock Mechanics/Geomechanics Symposium · June 18, 2021
The Identification Models of the Copper Recovery Using Supervised Machine Learning Algorithms for the Geochemical Data
Timur Merembayev, Kazbek Bekkarnayev, Yerlan Amanbek
Geochemistry and Geologic MappingMachine Learning in Materials ScienceData Mining and Machine Learning Applicationscopper recoverymineral explorationgeochemical data
More by Timur Merembayev
- Reliable Learning-Enabled Multi-Robot Coverage with Masked Entity-Attention MAPPO: A Controlled Multi-Seed StudyAI · 2026
- COMPARATIVE EVALUATION OF SEMANTIC SEGMENTATION MODELS FOR CRACK DETECTIONScientific Journal of Astana IT University · 2026
- Mathematical Modeling to Optimize Sensor Performance for Enhanced Sensitivity and Measurement Accuracy in a Biogas PlantPreprints.org · 2026
- Deep Learning Approaches for Autoregressive Fracture Network Path Prediction: A Comprehensive Study on the Teapot Dome DatasetIEEE Access · 2026