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	Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity 期刊论文 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46 作者: Zhang, Lei; Park, Chanwook; Lu, Ye; Li, Hengyang; Mojumder, Satyajit 收藏 \| 浏览/下载：2/0 \| 提交时间：2024/01/08 Convolution isogeometric analysis (C-IGA) Convolution hierarchical deep-learning neural network (C-hiDeNN) Software 2.0 r-h-p-s-a adaptive finite element method (FEM) High-order smoothness and convergence
	Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model 期刊论文 IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 2, 页码: 1391-1403 作者: Zhao, Yuxuan; Cao, Xinyan; Lin, Jinlong; Yu, Dunshan; Cao, Xixin 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/11/17 Physiology Brain modeling Feature extraction Electroencephalography Biological system modeling Convolution Reliability Multimodal affective states recognition convolutional neural network decision fusion model physiological signals
	A CNN-Transformer Hybrid Recognition Approach for sEMG-Based Dynamic Gesture Prediction 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 16 作者: Liu, Yanhong; Li, Xingyu; Yang, Lei; Bian, Guibin; Yu, Hongnian 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/11/17 Feature extraction Gesture recognition Task analysis Transformers Time-frequency analysis Convolution Data mining Convolutional neural network (CNN) feature fusion hand gesture recognition surface electromyography (sEMG) sensor transformer
	Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 11 作者: Lei, Chunli; Xue, Linlin; Jiao, Mengxuan; Zhang, Huqiang; Shi, Jiashuo 收藏 \| 浏览/下载：36/0 \| 提交时间：2022/09/22 Chemical activation Convolution Convolutional neural networks Fault detection Neural network models Roller bearings Activation functions Condition Convolutional neural network E-rectified linear unit activation function Faults diagnosis Linear units Markov transition field Multi dimensions Multi-dimension attention Transition fields
	Attention-Based Multiscale Feature Pyramid Network for Corn Pest Detection under Wild Environment 期刊论文 INSECTS, 2022, 卷号: 13 作者: Kang, Chenrui; Jiao, Lin; Wang, Rujing; Liu, Zhigui; Du, Jianming 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/12/23 corn pest convolution neural network detection attention feature pyramid network
	Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images 期刊论文 SENSORS, 2022, 卷号: 22, 期号: 21, 页码: 22 作者: Zhao, Dongdong; Ge, Weihao; Chen, Peng; Hu, Yingtian; Dang, Yuanjie 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/12/19 forward-looking sonar sonar image segmentation semantic segmentation attention mechanism convolution neural network
	A remaining useful life prediction method based on time–frequency images of the mechanical vibration signals 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 202 作者: Du, Xianjun; Jia, Wenchao; Yu, Ping; Shi, Yaoke; Cheng, Shengyi 收藏 \| 浏览/下载：32/0 \| 提交时间：2022/09/22 Convolution Forecasting Preventive maintenance Rotating machinery Vibrations (mechanical) Wavelet transforms Attention mechanisms Continuous Wavelet Transform Convolutional neural network Degradation trend Feature map Remaining useful life predictions Rolling bearings Spectral feature Time frequency Time–frequency spectral feature map
	Weld penetration identification with deep learning method based on auditory spectrum images of arc sounds 期刊论文 WELDING IN THE WORLD, 2022 作者: Gao, Yanfeng; Wang, Qisheng; Xiao, Jianhua; Xiong, Genliang; Zhang, Hua 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/12/22 Weld penetration Deep learning method Arc sounds Auditory spectrum Convolution neural network
	An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 8 作者: Zhao, Xiaoqiang; Zhang, Yazhou 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/20 Convolutional neural networks Deep learning Failure (mechanical) Failure analysis Fault detection Roller bearings Shrinkage Bearing fault diagnosis Convolutional neural network Intelligent diagnosis methods Multi-scale residual shrinkage convolutional neural network Multi-scales Noise environments Rolling bearings Separable convolution Variable operating condition Vibration signal
	Prediction of the transcription factor binding sites with meta-learning 期刊论文 METHODS, 2022, 卷号: 203, 页码: 207-213 作者: Jing, Fang; Zhang, Shao-Wu; Zhang, Shihua 收藏 \| 浏览/下载：8/0 \| 提交时间：2023/02/07 Convolution neural network Transcription factor binding sites Meta learning Noisy labels data

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