Abstract: Aiming at the problem that the absolute positioning accuracy of the robot end-effector decreases due to geometric errors, such as those from manufacturing and assembly, and nongeometric ...
The utility industry uses a handful of metrics to determine the accuracy of demand forecasts. The most common are MAPE, nMAE, and RMSE. Each has distinct usefulness in calculating predictive error, ...
ABSTRACT: This study compared Inertial Measurement Unit (IMU) and Optical Motion Capture (OMC) systems in measuring peak ankle angles and Range of Motion (ROM) during Countermovement Jumps (CMJ) and ...
Abstract: The Cramer-Rao Bound (CRB) is used to predict the Root Mean Square Error (RMSE) of the Maximum Likelihood Estimator (MLE). This is accurate at high signal ...
Aim: We aimed to investigate the effect of BMI variability on CVD and mortality and to explore the mediation effects of the main cardiovascular risk factors contributing to this association. Method: ...
ABSTRACT: The definition of freight intensity patterns, mainly on the form of freight trip or commodity generation, is essential in urban economics. Those patters are in general defined in a set of ...
未分组Neural: Mean Squared Error (MSE): 0.10455876165072131 Root Mean Squared Error (RMSE): 0.32335547258508135 R-squared (R^2): 0.8949083302041475 Evaluating ...
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