- 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
- Cloud-based battery failure prediction and early warning using multi-source signals and machine learning
- Data-driven corrosion inhibition efficiency prediction model incorporating 2D–3D molecular graphs and inhibitor concentration
- Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings
- Prediction & optimization of alkali-activated concrete based on the random forest machine learning algorithm
- Cross-category prediction of corrosion inhibitor performance based on molecular graph structures via a three-level message passing neural network model