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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2021     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A Muscle Fatigue Classification Model Based on LSTM and Improved Wavelet Packet Threshold 期刊论文 SENSORS, 2021, 卷号: 21 作者:  Wang, Junhong;  Sun, Shaoming;  Sun, Yining 收藏  |  浏览/下载：26/0  |  提交时间：2021/11/15 surface electromyography  wavelet packet  muscle fatigue  long short-term memory   Multisource Fault Signal Separation of Rotating Machinery Based on Wavelet Packet and Fast Independent Component Analysis 期刊论文 INTERNATIONAL JOURNAL OF ROTATING MACHINERY, 2021, 卷号: 2021 作者:  Miao, Feng;  Zhao, Rongzhen;  Jia, Leilei;  Wang, Xianli 收藏  |  浏览/下载：5/0  |  提交时间：2021/10/14 A3GAN: An Attribute-Aware Attentive Generative Adversarial Network for Face Aging 期刊论文 IEEE Transactions on Information Forensics and Security, 2021, 卷号: 16, 页码: 2776-2790 作者:  Yunfan Liu;  Qi Li;  Zhenan Sun;  Tieniu Tan 收藏  |  浏览/下载：0/0  |  提交时间：2023/06/20 A(3)GAN: An Attribute-Aware Attentive Generative Adversarial Network for Face Aging 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 2776-2790 作者:  Liu, Yunfan;  Li, Qi;  Sun, Zhenan;  Tan, Tieniu 收藏  |  浏览/下载：28/0  |  提交时间：2021/05/31 Aging  Faces  Face recognition  Facial features  Generators  Wavelet packets  Visualization  Generative adversarial networks  face aging  facial attribute  attention mechanism  wavelet packet transform   Research on Rotating Machinery Fault Diagnosis Method Based on Energy Spectrum Matrix and Adaptive Convolutional Neural Network 期刊论文 PROCESSES, 2021, 卷号: 9, 期号: 1, 页码: 1-25 作者:  Liu YY(刘意杨);  Yang YS(杨友胜);  Feng TY(冯铁);  Sun Y(孙懿);  Zhang XJ(张雪健) 收藏  |  浏览/下载：10/0  |  提交时间：2021/02/14 hierarchical fault diagnosis  energy spectrum matrix  dynamic adjustment of the learning rate  convolutional neural network  rotating machinery   Corrosion fault identification model of substation grounding grid based on PSO-LS-SVM 会议论文 Kunming, China, May 22-24, 2021 作者:  Qin J(秦军);  Miao J(缪金);  Wu X(吴曦);  Wang ZB(王资博);  Shao S(邵帅) 收藏  |  浏览/下载：11/0  |  提交时间：2021/08/28