Recent advances in deep learning have significantly transformed mineral classification methodologies, supplanting labour‐intensive manual approaches with automated, high-precision systems. By ...
The MIST team, from left to right, Yueyang Jiang, Kirsten Siebach, Gelu Costin and Eleanor Moreland (Photo credit: Linda Fries/Rice University). Identifying a mineral might sound straightforward: ...
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