Search alternatives:
significant advances » significant advantages (Expand Search), significantly advanced (Expand Search), significant advancements (Expand Search)
advances decrease » advanced disease (Expand Search), advanced defense (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), showed decreased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
significant advances » significant advantages (Expand Search), significantly advanced (Expand Search), significant advancements (Expand Search)
advances decrease » advanced disease (Expand Search), advanced defense (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), showed decreased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
-
1
-
2
Significance analysis data.
Published 2025“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”
-
3
-
4
-
5
Adjustment step size.
Published 2025“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”
-
6
-
7
-
8
-
9
-
10
-
11
-
12
-
13
-
14
-
15
-
16
-
17
-
18
Actual measurement of shape errors.
Published 2025“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
-
19
-
20