CNN coal and rock recognition method based on hyperspectral data
J Yang, B Chang, Y Zhang, W Luo, S Ge… - International Journal of …, 2022 - Springer
Aiming at the problem of coal gangue identification in the current fully mechanized mining
face and coal washing, this article proposed a convolution neural network (CNN) coal and …
face and coal washing, this article proposed a convolution neural network (CNN) coal and …
Quantitative analysis of molecular structure characterization of different liptinite-rich coals using FTIR spectroscopy
J Li, X Guo, B Panchal, J Wang, W Guo, B Liu… - Infrared Physics & …, 2024 - Elsevier
As one of the important components in low-rank coals, liptinite plays an indispensable role
in the formation and utilization of coal, thus, understanding the occurrence and structures of …
in the formation and utilization of coal, thus, understanding the occurrence and structures of …
Study on Prediction of Coal‐Gas Compound Dynamic Disaster Based on GRA‐PCA‐BP Model
K Wang, K Li, F Du - Geofluids, 2021 - Wiley Online Library
The intensity and depth of China's coal mining are increasing, and the risk of coal‐gas
compound dynamic disaster is prominent, which seriously restricts the green, safe, and …
compound dynamic disaster is prominent, which seriously restricts the green, safe, and …
化学渗透脱挥发分模型在碳基固体原料热化学转化领域应用进展.
郭伟， 杨盼曦， 俞尊义， 高琨， 王晶… - Clean Coal …, 2023 - search.ebscohost.com
化学渗透脱挥发分模型(ChemicalPercolationDevolatilization, CPD) 用于快速升温条件下煤炭
脱挥发分的模拟, 可以预测不同煤种热解过程中焦油, 半焦和轻质气体的实时产率 …
脱挥发分的模拟, 可以预测不同煤种热解过程中焦油, 半焦和轻质气体的实时产率 …
[HTML][HTML] Prediction of Floor Failure Depth in Coal Mines: A Case Study of Xutuan Mine, China
Y Feng, Y Bi, D Li - Water, 2024 - mdpi.com
Accurately predicting the failure depth of coal seam floors is crucial for preventing water
damage, ensuring the safe and efficient mining of coal seams, and protecting the ecological …
damage, ensuring the safe and efficient mining of coal seams, and protecting the ecological …