袗胁褌芯褉写褘遥 卸邪褉懈褟谢邪薪褘屑写邪褉褘
Kenzhaliyev, B.
袘邪褉谢褘覜 卸邪褉懈褟谢邪薪褘屑写邪褉
7
袘械谢褋械薪写褨谢褨泻 卸褘谢写邪褉褘
4
袞邪褉懈褟谢邪薪褘屑 褌爷褉谢械褉褨
2
2025 (4)
- Intelligent System for Reducing Waste and Enhancing Efficiency in Copper Production Using Machine Learning
- An overview of biological cyanide elimination from tailing wastewater as a promising tool for sustainable utilization
- Development of Software for Hydrometallurgical Calculation of Metal Extraction
- Predicting Industrial Copper Hydrometallurgy Output with Deep Learning Approach Using Data Augmentation