Intelligent coal mining: An approach to generating optimal Shearer's cutting trajectories.

Liang Y, Zhi B, Hu C, Wang Z, Li B, Wen R, Liu B, Li J, Guo G, Hao X

DOI: 10.1177/00368504261466788
Published: 2026 Jul-Sep
Container: Science progress
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1177/00368504261466788,
  title = {Intelligent coal mining: An approach to generating optimal Shearer's cutting trajectories.},
  author = {Liang Y and Zhi B and Hu C and Wang Z and Li B and Wen R and Liu B and Li J and Guo G and Hao X},
  year = {2026},
  journal = {Science progress},
  doi = {10.1177/00368504261466788},
  url = {https://doi.org/10.1177/00368504261466788}
}

RIS

TY  - JOUR
TI  - Intelligent coal mining: An approach to generating optimal Shearer's cutting trajectories.
AU  - Liang Y
AU  - Zhi B
AU  - Hu C
AU  - Wang Z
AU  - Li B
AU  - Wen R
AU  - Liu B
AU  - Li J
AU  - Guo G
AU  - Hao X
PY  - 2026
JO  - Science progress
DO  - 10.1177/00368504261466788
UR  - https://doi.org/10.1177/00368504261466788
ER  -

APA

Y, L., B, Z., C, H., Z, W., B, L., R, W., B, L., J, L., G, G., & X, H. (2026). Intelligent coal mining: An approach to generating optimal Shearer's cutting trajectories.. Science progress. https://doi.org/10.1177/00368504261466788

Source records

pubmed · retrieved 2026-09-25T23:54:29.099Z