- Cloud-based battery failure prediction and early warning using multi-source signals and machine learning
- Data-driven assisted model specification for complex choice experiments data: Association rules learning and random forests for Participatory Value Evaluation experiments
- Predicting the influence of geometric imperfections on the mechanical response of 2D and 3D periodic trusses
- Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges
- Data-driven corrosion inhibition efficiency prediction model incorporating 2D–3D molecular graphs and inhibitor concentration
- Generating quality datasets for real-time security assessment: Balancing historically relevant and rare feasible operating conditions
- Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings