Enhancing All-Optical NV Center Magnetometry With Machine Learning: Model Selection for Efficient and Deployable Quantum Sensors
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification
Experimental application of a semi-parametric model for interpretable and accurate egression analysis of building energy consumption
Real-Time Detection of Rear Car Signals for Advanced Driver Assistance Systems Using Meta-Learning and Geometric Post-Processing
Integrating UAV-LiDAR and Field Experiments to Survey Soil Erosion Drivers in Citrus Orchards Using an Exploratory Machine Learning Approach
