ymlasu/NASA_ULI_InfoFusion

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Created over 6 years ago
Updated about 5 years ago

ymlasu/NASA_ULI_InfoFusion

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Information fusion for real-time national air transportation system prognostics under uncertainty.

para-atm-collection

PARA-ATM Research Collection

Jupyter Notebook

para-atm

Information fusion for real-time national air transportation system prognostics under uncertainty.

Reliability-Based-Topology-Optimization

The code is for two phase demonstration as example 1 shown in the paper - Gao, Yi, and Yongming Liu. "Reliability-based topology optimization with stochastic heterogeneous microstructure properties." Materials & Design 205 (2021): 109713. A unformatted paper draft can be found at https://www.researchgate.net/publication/350763409_Reliability-based_Topology_Optimization_with_Stochastic_Heterogeneous_Microstructure_Properties

PeSBL_PDE_Learning

Multiaxial-high-cycle-fatigue-life-prediction-model

PSI-PDE

A robust method of learning PDEs from dynamical systems.

PPgNN

2D_3D_Microstructure

FEA-Net

A-Bio-marker-using-Topological-Machine-Learning-of-rs-fMRI

Neural-Optimization-Machine-NOM

LPM-C

An implementation of a nonlocal lattice particle method (LPM) using an iterative solution procedure

MFEA-Net

Jupyter Notebook

Energy-based-time-derivative-damage-accumulation-model-under-uniaxial-and-multiaxial-random-loadings

An-energy-based-model-under-multiaxial-biaxial-loading

CAMEL

CAMEL is a dimension reduction and data visualization model for arbitrary high dimensional data. CAMEL supports unsupervised learning, supervised learning, semi-supervised learning, metric learning, and inverse learning.