Time Granularity Setting Principle for Short-Term Passenger Flow Prediction in Urban Rail Transit
G Zhu, Y Gong, J Ding, EQ Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Time granularity is a key parameter necessary for short-time passenger flow prediction of
urban rail transit (URT); however, no universal method is available for its setting. This study …
urban rail transit (URT); however, no universal method is available for its setting. This study …
[HTML][HTML] Application of the Optuna-NeuralProphet model for predicting step-like landslide displacement
M Huang, H Yang, F Yang - AIP Advances, 2024 - pubs.aip.org
Displacement prediction is crucial to landslide engineering monitoring and early warning.
An Optuna-NeuralProphet model is proposed based on the Optuna framework and the …
An Optuna-NeuralProphet model is proposed based on the Optuna framework and the …