EffiCANet: Efficient Time Series Forecasting with Convolutional Attention.

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting.

Deep Learning and Laser-Based 3-D Pixel-Level Rail Surface Defect Detection Method.

Action Pick-up in Dynamic Action Space Reinforcement Learning.

Integration of Multiple Sensors for Noncontact Rail Profile Measurement and Inspection.

Improved Fault Diagnosis of Railway Switch System Using Energy-Based Thresholding Wavelets (EBTW) and Neural Networks.

Roller Bearing Degradation Assessment Based on a Deep MLP Convolution Neural Network Considering Outlier Regions.

Estimating Residual Life Distributions of Complex Operational Systems Using a Remaining Maintenance Free Operating Period (RMFOP)-Based Methodology.

Method for automatic railway track surface defect classification and evaluation using a laser-based 3D model.

Attention-Based Recurrent Temporal Restricted Boltzmann Machine for Radar High Resolution Range Profile Sequence Recognition.

Using Spearman's correlation coefficients for exploratory data analysis on big dataset.