The potential of machine learning for a more responsible sourcing of critical raw materials

HIGHLIGHTS

  • who: Pedram Ghamisi et al. from the (UNIVERSITY) have published the article: The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials, in the Journal: (JOURNAL)
  • what: In this review the authors assess the relevant recent developments of Machine Learning for the processing of imaging sensor data. The authors focus on the description of innovative processing workflows and illustrate the most prominent approaches with examples. 2) Experimental Results: Here, the authors show how denoising techniques can be applied as the final step of the preprocessing chain to boost mineral exploration. The . . .

     

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