HIGHLIGHTS
- who: Pan Liu and collaborators from the School of Automation, Central South University, Changsha, China have published the article: High-Precision Real-Time Detection of Blast Furnace Stockline Based on High-Dimensional Spatial Characteristics, in the Journal: Sensors 2022, 6245 of /2022/
- what: In this paper, a maximum_likelihood radial basis function model (MLRBFM) was proposed to mine the intrinsic correlation of blast furnace stockline radar data and extract the high-dimensional spatial features of stockline changes.
- how: Figure 1 shows the based on high-dimensional spatial features is proposed. Using the discrete time . . .
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