Results 91 to 100 of about 377 (163)

Research on Coal Gangue Recognition Based on Multi-source Time-Frequency Domain Feature Fusion. [PDF]

ACS Omega, 2023
Zhang Y, Yang Y, Zeng Q.
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

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

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

Task allocation method for anchoring robot with multiple drilling units and multiple tasks in coal mine roadways. [PDF]

Sci Rep
Ma K, Ma H, Wang C, Sun S, Guo Y, Wang P, Nie Z, Zhang Y, Su H, Wu X.   +9 more
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

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

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

Multi-Scale Fusion Lightweight Target Detection Method for Coal and Gangue Based on EMBS-YOLOv8s. [PDF]

Sensors (Basel)
Gao L, Yu P, Dong H, Wang W.
europepmc   +1 more source