[ESWA] NeuroXAI: Adaptive, Robust, Explainable Surrogate Framework for Determination of Channel Importance in EEG Application

An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.

Signal Filtering and Generation of Synthetic Time-Series.

Source code for Surrogate Modeling of Melt Pool Temperature Field using Deep Learning

This project builds a machine-learning surrogate model using data generated from a quasi-6-DoF physics simulator replacing numerical integration with a neural network that can predict full 3-D trajectories including altitude, downrange motion, and lateral deflection hundreds of times faster while maintaining meter-level accuracy.

Surrogate model for predicting free fall motion. The project uses machine learning to replicate the parabolic trajectory of free fall based on initial velocity and launch angle. Includes MSE-based performance evaluation and trajectory comparison plots.

Data-driven surrogate model of the Huxley muscle model based on Gated Recurrent Unit (GRU), Temporal Convolutional Network (TCN), Nested Long Short-Term Unit (Nested LSTM)..

Deep Residual Transformer Neural Network (DRTNN)

Supplementary materials for Siggraph 2020 technical paper Fabrication-in-the-Loop Co-Optimization of Surfaces and Styli for Drawing Haptics

A recurrent neural network surrogate model with few-shot learning strategy for CO2 storage in deep subsurface saline aquifer

Landslide-Tsurrogate v1.0

Physics-aware neural surrogate for black hole accretion flow (GRMHD-like) using Fourier Neural Operators.