Table 1 MAE (mean absolute error) and MRE (mean relative error) for predicting the count of clams for each data type: control data containing sand only (C), data containing asari clams and sand (A), data containing a mixture of mussels and sand (M), and data containing a mixture of clams, mussels, and other materials (AM). The count of clams was estimated for each bucket using the prediction model of the count of clams. The MAE in the count of clams was calculated for each data type. MRE was calculated only for A and AM because relative absolute error cannot be calculated when the count of clams is zero.

From: Development of a method for estimating asari clam distribution by combining three-dimensional acoustic coring system and deep neural network