Search alternatives:
significant non » significant gap (Expand Search), significant amount (Expand Search)
shape increases » showed increases (Expand Search), sharp increase (Expand Search), disease increases (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
non decrease » nn decrease (Expand Search), point decrease (Expand Search), note decreased (Expand Search)
significant non » significant gap (Expand Search), significant amount (Expand Search)
shape increases » showed increases (Expand Search), sharp increase (Expand Search), disease increases (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
non decrease » nn decrease (Expand Search), point decrease (Expand Search), note decreased (Expand Search)
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Relative increases in 1987, observed (O) and predicted (E) cases and 90% CI.
Published 2025Subjects: -
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Generated spline library.
Published 2025“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
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Correlation coefficient matrix.
Published 2025“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
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RMSE versus learning rate.
Published 2025“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
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RMSE versus training parameters.
Published 2025“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
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Assembly process of machine recognition form.
Published 2025“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”