May 2, 2022 � This paper presents a machine learning approach to estimate the residual life of a component by incorporating the effect of human error in maintenance.

This paper presents a machine learning approach to estimate the residual life of a component by incorporating the effect of human error in maintenance.

This paper presents a machine learning approach to estimate the residual life of a component by incorporating the effect of human error in maintenance. Based on�...

A novel Robust Multi-Branch Deep Learning model that overcomes the limitations of existing methods but also leads to superior performance in predictive�...

May 2, 2022 � This paper presents a machine learning approach to estimate the residual life of a component by incorporating the effect of human error in�...

XGBoost based residual life prediction in the presence of human error in maintenance. https://doi.org/10.1007/s00521-022-07216-2 �. Journal: Neural Computing�...

A prediction-based cycle life test optimization method for cross ... XGBoost based residual life prediction in the presence of human error in maintenance.

A prediction-based cycle life test optimization method for cross ... XGBoost based residual life prediction in the presence of human error in maintenance.

Aug 21, 2024 � This paper investigates time series features and shows that some machine learning algorithms can outperform deep learning models.

Apr 4, 2024 � XGBoost based residual life prediction in the presence of human error in maintenance. Neural Computing and Applications, 2023, 35(4): 3025�...