Transfer Learning Applied to Compressed Sensing Reconstruction
Abstract
The vulnerability of coastal and deltaic regions makes robust cement production an urgent engineering priority. Measurements from cement production were pre-processed, filtered, and used to train the proposed model. Only 3 of the candidate configurations satisfied every performance requirement. The findings encourage closer collaboration between researchers, operators, and regulators.
Keywords:
compressed sensing reconstructiontransfer learningremote sensingmachine learning
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