- Prediction & optimization of alkali-activated concrete based on the random forest machine learning algorithm
- Data-driven clay-fouled ballast permeability assessment using analytical-numerical and machine learning approaches
- Dominant factors determining the hydraulic conductivity of sedimentary aquitards: A random forest approach
- A high-resolution record of surface melt on Antarctic ice shelves using multi-source remote sensing data and deep learning
- Towards machine learning for moral choice analysis in health economics: A literature review and research agenda
- Automated Classification of Well Test Responses in Naturally Fractured Reservoirs Using Unsupervised Machine Learning
- Utilization of response surface methodology and machine learning for predicting and optimizing mixing and compaction temperatures of bio-modified asphalt