The following pages link to Francesco Piccialli (Q2026292):
Displaying 12 items.
- Julia language in machine learning: algorithms, applications, and open issues (Q2026295) (← links)
- A physics-informed learning approach to Bernoulli-type free boundary problems (Q2107176) (← links)
- Scientific machine learning through physics-informed neural networks: where we are and what's next (Q2162315) (← links)
- RBF methods in a stochastic volatility framework for Greeks computation (Q2186934) (← links)
- Adaptive RBF interpolation for estimating missing values in geographical data (Q2200329) (← links)
- 3D data denoising via nonlocal means filter by using parallel GPU strategies (Q2262528) (← links)
- Meshless methods for American option pricing through physics-informed neural networks (Q6158655) (← links)
- Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data (Q6323475) (← links)
- Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next (Q6388282) (← links)
- Speckle noise removal via learned variational models (Q6546946) (← links)
- A numerical approach for soil microbiota growth prediction through physics-informed neural network (Q6646501) (← links)
- Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy (Q6659331) (← links)
