Ore Sensing
Ore Sensing is a technical method in mining robotics that enables the real-time identification and characterization of mineral deposits through the analysis of geophysical and geochemical signals, distinguishing it from broader exploration techniques by its focus on automated, in situ detection for robotic decision-making.
46
Publications
1.9K
Citations
157
Authors
73
Institutions
Publications per year
2017–2026
18
Parents
46
Ore Image Classification Based on Improved CNN
Wenyan Zhou, Hao Wang, Zhibo Wan · Computers & Electrical Engineering · 2022 · 133 citations
Self-tuning control of an ore crusher
Ulf Borisson, Rolf Syding · Automatica · 1976 · 86 citations
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73
Waseda University
Tokyo, Japan
3 h-index
3 publications
88 citations
National Institute for Materials Science
Tsukuba, Japan
3 h-index
12 publications
352 citations

Wrocław University of Science and Technology
Wroclaw, Poland
2 h-index
5 publications
64 citations
University of Tsukuba
Tsukuba, Japan
2 h-index
2 publications
38 citations

Helmholtz-Zentrum Dresden-Rossendorf
Dresden, Germany
2 h-index
9 publications
574 citations

University of Exeter
Exeter, United Kingdom
2 h-index
5 publications
100 citations
Helmholtz Institute Freiberg for Resource Technology
Freiberg, Germany
2 h-index
9 publications
574 citations
Université Mohammed VI Polytechnique
Marrakesh, Morocco
1 h-index
3 publications
126 citations
1–8 of 73
5 publications · 225 citations
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3 publications · 110 citations
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2 publications · 38 citations
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2 publications · 92 citations
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NRR · 2 publications · 127 citations
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