- Flood Risk Modeling Aided by Machine Learning Techniques: Using a Treed Gaussian Process for a Case Study in Charleston, South Carolina
- Go With The Flow: Fault-Tolerant Decentralized Training of Large Language Models: Decentralised Training of Large Language Models
- Optimizing Square Plates with Symmetrically Reinforced Circular Cutouts for Shear Buckling: A Bayesian Optimization Approach to Minimum Weight Design
- Application of machine learning in the structural design process of bascule bridges: Using an artificial neural network to generate structural bascule bridge designs in Grasshopper
- Clustering Learning Curves in Machine Learning using K-Means Algorithm: Can patterns be identified amongst learning curves after the application of the K-Means algorithm using point and statistical vectors?
- Learning Curve Extrapolation using Machine Learning: Benefits and Limitations of using LCPFN for Learning Curve Extrapolation
- Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator: Case studies at ISMN stations in western Europe
- A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going
- A multi-step fast charging-based battery capacity estimation framework of real-world electric vehicles
- Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management