A living, unofficial Chinese translation of Wills' Mineral Processing Technology (8th ed.) — faithful, terminology-accurate Markdown built for human study and for vectorising into a mineral-processing AI Agent's knowledge base. Continuing updates welcome.
U-Net segmentation of froth flotation bubbles | MSc Thesis @ University of Tabriz | 92.12% accuracy
👷 Nornickel Hackathon Submission
Time-series forecasting system for silica concentration in mining using XGBoost, LSTM, and Transformer models, with a Streamlit dashboard for real-time analysis and optimization.
面向选矿现场的技术社区与开源知识库：现场人员可检索或提问工况问题，经验证的处置被结构化记录，与教材、论文的知识卡片合并为同一套带出处的开放数据集。代码 AGPL-3.0，数据 CC BY-SA 4.0。
API and Deep Learning application for froth flotation bubble segmentation, covering dataset preparation, model training, inference, and API serving with FastAPI.
A web application for froth flotation bubble segmentation, allowing users to upload images for segmentation or visualize video segmentation by frame.
To associate your repository with the froth-flotation topic, visit your repo's landing page and select "manage topics."