[ESWA] NeuroXAI: Adaptive, Robust, Explainable Surrogate Framework for Determination of Channel Importance in EEG Application
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Updated
Dec 18, 2024 - Python
[ESWA] NeuroXAI: Adaptive, Robust, Explainable Surrogate Framework for Determination of Channel Importance in EEG Application
A curated list of 100+ AI-ready tools for Computer-Aided Engineering, ranked by an AI-Readiness Score (agent-callability: MCP, Python API, CLI, pip). CFD, FEA, SPH, DEM, differentiable simulation, neural operators, PINNs, MCP servers.
An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
Signal Filtering and Generation of Synthetic Time-Series.
WinDiNet: Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows
A Keysight ADS/RFPro-based workflow for RFIC pixel-layout generation, EM simulation automation, HDF5 dataset creation, and CNN-based surrogate modeling.
A core library for engineering surrogate modeling and operator learning
Source code for Surrogate Modeling of Melt Pool Temperature Field using Deep Learning
Claude Code agent skills bridging Abaqus FEA and ML surrogates: LHS batch dataset generation + ODB to ML-ready grid CSVs.
油藏数值模拟 vs PINN/数据驱动代理
An interactive Python dashboard for planning space missions. It features orbital maneuver calculations, animated 2D flight paths, and an AI model for predicting fuel needs, all wrapped in a clean, user-friendly interface.
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.
Explainable AI for time series: gradient-based counterfactual generation for the non-differentiable Random Shapelet Forest, using PyTorch surrogate models (Feedforward, LSTM, CNN, Transformer) and a Streamlit UI. Research internship, DSV — Stockholm University.
neural network surrogate for CFD simulations
Physics-aware neural surrogate for black hole accretion flow (GRMHD-like) using Fourier Neural Operators.
Physics-informed neural-network surrogate for asset-integrity digital twin. ODE-constrained training with KKT enforcement.
Streamlit app for surrogate-model validation on airfoil self-noise data
Privacy-preserving motion analytics for videos, RGB-D streams, and frame folders.
A recurrent neural network surrogate model with few-shot learning strategy for CO2 storage in deep subsurface saline aquifer
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