Multi-mode data augmentationRotating machinery fault diagnosisSpectrum normalizationAs one of the representative unsupervised data augmentation methods, generative adversarial networks (GANs) have the potential to solve the problem of insufficient samples in fault diagnosis of rotating machinery. However, the ...
device->CreateBuffer(&ringCB); for(int i=1;i++){ if(i > length) copyEngine->Wait(fence1, i - length); copyEngine->Map(ringCB, value%length, WRITE, pData); // copy new data copyEngine->Signal(fence2, i); renderEngine->Wait(fence2, i); renderEngine->Draw(); // draw usin...
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition Lei Wang†, § Piotr Koniusz*, §, † †Australian National University, §Data61rCSIRO §firstname.lastname@data61.csiro.au Abstract Many skeletal action recognition models use GC...
GAM-4238F5L-AGGB Gmouse is based on the state of art CYNOSURE III architecture, integrating multi-band and multi-system GNSS RF and baseband.This newly designed architecture makes this single chip achieve sub-meter level position accuracy without correction data from ground-based augmentation ...
A novel data augmentation strategy for aeroengine multitask prognosis based on degradation behavior extrapolation and diversity-usability trade-off For aeroengine multitask prognosis, dataset's quantity and quality significantly affect the prediction performance. Due to the insufficiency and high redun......
Reparameterization reference code by Ding Xiaohan: DiverseBranchBlock Some modules reference from Devil Mask's open-source repository YOLOv7 Albumentations Data Augmentation Library Reparameterization validation code references from Handwritten AI's reparameterization courseClosing...
In this method, matrix dynamic augmentation is applied to extract dynamic information from original data. Then for analyzing multimode non-Gaussian data, Bayesian inference and ICA are combined to establish a probability mixture model. The ICA model parameters are obtained by the iterative optimization...
Lightweight transfer nets and adversarial data augmentation for photovoltaic series arc fault detection with limited fault data. Int. J. Electr. Power Energy Syst. 2021, 130. [CrossRef] 14. Humbert, J.B.; Schweitzer, P.; Weber, S. Serial-arc detection by use of Spectral Dispersion Index ...
The augmentation resulted in a parallel speedup of 720 using 200 eight-core processors. Here, we discuss performance for the PEEMD in decomposing multiscale signals from data sets that represent: (i) idealized tropical waves and (ii) large-scale environmental flows associated with Hurricane Sandy ...
Initial commit 删除附加文件 Mar 25, 2024 PaperImages 1. 新增了对RGBT格式的支持,包括前期融合,中期融合,后期融合,分数融合以及共享权重等 Aug 3, 2024 dataset Initial commit 删除附加文件 Mar 25, 2024 docs Initial commit 删除附加文件 Mar 25, 2024 ...