Importantly, the absence of a clear trend or systematic pattern in the distribution of errors supports the assumption that the model does not suffer from heteroscedasticity or structural bias.
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Compressive strength modelling of cenosphere and copper slag-based geopolymer concrete using deep learning model.
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