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01/17/2023
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network
Temperature field prediction is of great importance in the thermal desig...
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05/16/2022
Heat Source Layout Optimization Using Automatic Deep Learning Surrogate and Multimodal Neighborhood Search Algorithm
In satellite layout design, heat source layout optimization (HSLO) is an...
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04/04/2022
Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems
In using the Bayesian network (BN) to construct the complex multistate s...
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03/29/2022
Parameterized Consistency Learning-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis in Aerospace Engineering
Polynomial chaos expansion (PCE) is a powerful surrogate model-based rel...
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03/10/2022
Semi-supervision semantic segmentation with uncertainty-guided self cross supervision
As a powerful way of realizing semi-supervised segmentation, the cross s...
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03/08/2022
Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation
Few-shot segmentation enables the model to recognize unseen classes with...
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02/14/2022
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis
Temperature field reconstruction is essential for analyzing satellite he...
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02/14/2022
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction
For the temperature field reconstruction (TFR), a complex image-to-image...
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07/22/2021