Search Results for author:
Found 2 papers, 0 papers with code
Hybrid data driven/thermal simulation model for comfort assessment
A benchmarking study is realized to compare different machine learning methods.
Rail Crack Propagation Forecasting Using Multi-horizons RNNs
Traditional methods rely on physical models and empirical equations such as Paris law, which often have limitations in capturing the complex nature of crack growth.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
