Results 111 to 120 of about 495 (176)

Research on large coal detection method for mine conveyor belt based on SCCG-YOLO. [PDF]

PLoS One
Zhan X, Yao R, Qi Y.
europepmc   +1 more source

Coal Gangue Ecological Matrix Coupled with Microalgae for Soil Improvement and Plant Growth in Reclaimed Mining Areas. [PDF]

Biology (Basel)
Yu S, Li J, Du D, Li H, Hao J, Teng Z, Ji X.   +6 more
europepmc   +1 more source

A deep learning method based on multi-scale fusion for noise-resistant coal-gangue recognition. [PDF]

Sci Rep
Song Q, Sun S, Song Q, Wang B, Liu Z, Jiang H.   +5 more
europepmc   +1 more source

Dynamic simulation and intelligent control technology for cutting head load of coal mine roadheader. [PDF]

PLoS One
Feng J, Zhang Y, He Y, Tian M.
europepmc   +1 more source

Recognition of Coal Gangue via Stereo Vision and Density: A Feasibility Study

IEEE Access
Jixia Lu, Jiajia Shi, Wenhao Lu, Huandong Li, Zilong Su   +4 more
openaire   +1 more source

A large-scale open image dataset for deep learning-enabled intelligent sorting and analyzing of raw coal. [PDF]

Sci Data
Lv Z, Fan Y, Sha T, Cui Y, Wu Y, Lv H, Sun M, Tu Y, Xu Z, Wang W.   +9 more
europepmc   +1 more source

A lightweight coal-gangue detection model based on parallel deep residual networks. [PDF]

PeerJ Comput Sci
Jiang S, Zhou X.
europepmc   +1 more source

Research on dynamic model construction method based on RecurDyn secondary development. [PDF]

PLoS One
Zhao L, Yang S, Wang Y, Jin X.
europepmc   +1 more source

RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification. [PDF]

Sensors (Basel)
Wang Y, Kou Z, Han C, Qin Y.
europepmc   +1 more source

Coal-gangue sound recognition using hybrid multi-branch CNN based on attention mechanism fusion in noisy environments. [PDF]

Sci Rep
Song Q, Hao W, Song Q, Jiang H, Li K, Sun S.   +5 more
europepmc   +1 more source