袩褍斜谢懈泻邪褑懈懈 邪胁褌芯褉邪
Kenzhaliyev, B.
袙褋械谐芯 锌褍斜谢懈泻邪褑懈泄
7
袥械褌 邪泻褌懈胁薪芯褋褌懈
4
孝懈锌芯胁 锌褍斜谢懈泻邪褑懈泄
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