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A multi-step fast charging-based battery capacity estimation framework of real-world electric vehicles
Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges
On the use of transfer modeling to design new steels with excellent rotating bending fatigue resistance even in the case of very small calibration datasets
Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure
Geographical spatial analysis and risk prediction based on machine learning for maritime traffic accidents: A case study of Fujian sea area
Choice modelling in the age of machine learning - Discussion paper
Effectiveness of trip planner data in predicting short-term bus ridership
Machine learning for automatic construction of pediatric abdominal phantoms for radiation dose reconstruction
Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel
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