Journal of Computer Science & Systems Biology

Department of Information Science, University of Durham, Durham, UK

Publications

• Mini Review   
  Sensor Based Sorting in Mineral Exploration and the Advantages of Data Fusion
  Author(s): Lisa Andrew*
  
  Sensor-based sorting techniques have the potential to improve ore grades while reducing waste material processing. Previous research has shown that by discarding waste prior to further processing, sensor-based sorting can reduce energy, water, and reagent consumption, as well as fine waste production. Recent studies of sensor-based sorting and the fundamental mechanisms of the main sorting techniques are evaluated in this literature review to inform optimal sensor selection. Furthermore, the fusion of data from multiple sensing techniques is being investigated in order to improve characterization of the sensed material and thus sorting capability. The key to effective sensor-based sorting implementation was discovered to be the selection of a sensing technique capable of sensing a characteristic capable of separating ore from waste with a sampling distribution .. Read More»
  DOI: 10.37421/0974-7230.2022.15.425

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