Blast Pattern Detection
Blast Pattern Detection is a computational method in machine vision for mining that identifies and analyzes the spatial arrangement of drilled holes and explosive charges in rock faces to assess blasting efficiency and structural integrity.
29
Publications
1.5K
Citations
104
Authors
57
Institutions
Publications per year
2017–2026
15
Parents
29
Xueyi Shang, Xibing Li, Antonio Morales‐Esteban et al. · Soil Dynamics and Earthquake Engineering · 2017 · 115 citations
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Central South University
Changsha, China
4 h-index
13 publications
1.4K citations
Vellore Institute of Technology University
Vellore, India
2 h-index
3 publications
266 citations
Délégation Paris 7
Bagnolet, France
1 h-index
1 publications
29 citations
Inserm
Paris, France
1 h-index
1 publications
29 citations
AGH University of Krakow
Krakow, Poland
1 h-index
4 publications
112 citations
China University of Mining and Technology
Xuzhou, China
1 h-index
3 publications
45 citations

Jiangxi University of Science and Technology
Ganzhou, China
1 h-index
1 publications
99 citations
University of Michigan–Dearborn
Dearborn, United States
1 h-index
1 publications
28 citations
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IJLH · 2 publications · 48 citations
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2 publications · 66 citations
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2 publications · 130 citations
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2 publications · 45 citations
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1 publications · 68 citations
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