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A multi-step fast charging-based battery capacity estimation framework of real-world electric vehicles
A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going
Prediction & optimization of alkali-activated concrete based on the random forest machine learning algorithm
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
Cross-category prediction of corrosion inhibitor performance based on molecular graph structures via a three-level message passing neural network model
Data driven design for online industrial auctions
Longitudinal tear detection method of conveyor belt based on audio-visual fusion
Corrnet: Fine-grained emotion recognition for video watching using wearable physiological sensors
Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning
The I in Team: Mining Personal Social Interaction Routine with Topic Models from Long-Term Team Data
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