Randall J. Gallimore

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Many organizations collect vast quantities of threedimensional (3-D) scientific data in volumetric form for a range of purposes, including resource exploration, market forecasting, and process modeling. Traditionally, these data have been interpreted by human experts with only minimal software assistance. However, such manual interpretation is a(More)
Many organisations collect vast quantities of 3D scientific data in volumetric form for a range of purposes including resource exploration, market forecasting and process modelling. Traditionally, this data has been interpreted by human experts with only minimal software assistance. However such manual interpretation is a painstakingly slow and tedious(More)
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