[HTML][HTML] 基於深度遷移學習之滾珠螺桿差別運轉條件預壓監測研究
YZ Guo - 2022 - ir.lib.ncu.edu.tw
… three classification models were used to compare the performance of the data augmentation
… However, the accuracy of the model is improved to 99.5% after the dataset be augmented …
… However, the accuracy of the model is improved to 99.5% after the dataset be augmented …
[PDF][PDF] ISTANBUL TECHNICAL UNIVERSITY 击GRADUATE SCHOOL
B BAYRAM - 2022 - polen.itu.edu.tr
… The augmentation of the raw audio signals and the spectrograms of the signals was …
sounds to improve performance of the classification of animal sounds [51]. A few audio data are …
sounds to improve performance of the classification of animal sounds [51]. A few audio data are …
[HTML][HTML] 数据受限条件下的多模态处理技术综述
王佩瑾， 闫志远， 容雪娥， 李俊希， 路晓男， 胡会扬… - 2022 - cjig.cn
… -derived multimodal learning methods, the multimodal data … , active learning, data denoising
and data augmentation. The … Enhanced breast lesion classification via knowledge guided …
and data augmentation. The … Enhanced breast lesion classification via knowledge guided …
基于深度学习的MRI 重建方法综述.
邓戈文， 魏国辉， 马志庆 - Journal of Computer Engineering …, 2023 - search.ebscohost.com
… results and efficiency are better than traditional compressed … 基于VAE的重建模型 变分自
编码器(variational autoencoder … free-breathing 3D abdominal MRI using stacked convolutional …
编码器(variational autoencoder … free-breathing 3D abdominal MRI using stacked convolutional …