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Found 4 papers, 0 papers with code
Efficient Characterization of Dynamic Response Variation Using Multi-Fidelity Data Fusion through Composite Neural Network
Uncertainties in a structure is inevitable, which generally lead to variation in dynamic response predictions.
Leveraging Gaussian Process and Voting-Empowered Many-Objective Evaluation for Fault Identification
Alternatively, the identification problem may be cast into an optimization framework in which fault parameters are identified through repeated forward finite element analysis which however is oftentimes computationally prohibitive.
Pre-Processing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning
On the other hand, while the deep neural networks based approaches feature adaptive feature extractions and inherent classifications, they usually require a substantial set of training data and thus hinder their usage for engineering applications with limited training data such as gearbox fault diagnosis.
A Focal Any-Angle Path-finding Algorithm Based on A* on Visibility Graphs
In this research, we investigate the subject of path-finding.
