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	Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13 作者: Tian, Hu; Zhang, Xingwei; Zheng, Xiaolong; Zeng, Daniel Dajun 收藏 \| 浏览/下载：5/0 \| 提交时间：2023/11/17 Gated recurrent unit graph representation learning learning dynamic dependencies stock prediction system
	A computational method for the load spectra of large-scale structures with a data-driven learning algorithm 期刊论文 SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2022, 页码: 14 作者: Chen, XianJia; Yuan, Zheng; Li, Qiang; Sun, ShouGuang; Wei, YuJie 收藏 \| 浏览/下载：15/0 \| 提交时间：2023/02/09 load spectrum computational mechanics deep learning data-driven modeling gated recurrent unit neural network
	ADTIDO: Detecting the Tired Deck Officer with Fusion Feature Methods 期刊论文 SENSORS, 2022, 卷号: 22, 期号: 17, 页码: 16 作者: Li, Chenghao; Fu, Yuhui; Ouyang, Ruihong; Liu, Yu; Hou, Xinwen 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/11/14 EEG deck officer fatigue detection ECD-EEG fusion features Bi-GRU neural network classifier
	SE-GRU: Structure Embedded Gated Recurrent Unit Neural Networks for Temporal Link Prediction 期刊论文 IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 卷号: 9, 期号: 4, 页码: 2495-2509 作者: Yin, Yanting; Wu, Yajing; Yang, Xuebing; Zhang, Wensheng; Yuan, Xiaojie 收藏 \| 浏览/下载：41/0 \| 提交时间：2022/07/25 Time-frequency analysis Feature extraction Predictive models Optimization Topology Measurement Logic gates Temporal link prediction dynamic graphs graph embedding neural networks
	Prediction of Significant Wave Height in Offshore China Based on the Machine Learning Method 期刊论文 JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 卷号: 10, 期号: 6, 页码: 20 作者: Feng, Zhijie; Hu, Po; Li, Shuiqing; Mo, Dongxue 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/08/17 wave height recurrent neural network long short-term memory network GRU EMD
	A Novel Deep Learning Bi-GRU-I Model for Real-Time Human Activity Recognition Using Inertial Sensors 期刊论文 IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6164-6174 作者: Tong, Lina; Ma, Hanghang; Lin, Qianzhi; He, Jiaji; Peng, Liang 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/06/10 Sensors Feature extraction Deep learning Inertial sensors Data mining Convolutional neural networks Accelerometers Human activity recognition (HAR) inertial sensor deep learning Bi-GRU inception architecture
	MBNN: A Multi-Branch Neural Network Capable of Utilizing Industrial Sample Unbalance for Fast Inference 期刊论文 IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 2, 页码: 1809-1819 作者: Wang QZ(王其朝); Wang K(王锴); Li Q(李庆); Yang ZY(杨祖业); Jin GS(金光淑) 收藏 \| 浏览/下载：5/0 \| 提交时间：2021/01/17 Fault diagnosis Neural networks Complexity theory Computational modeling Sensors Optimization Real-time systems Neural network architecture fault diagnosis fast inference unbalance sample
	A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations 期刊论文 JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13 作者: Zhang, Qiang; Wu, Shun; Wang, Xiangwen; Sun, Binzhen; Liu, Haimeng 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/03/16 PM(2.5)prediction Multi-task deep learning Artificial intelligence Intensive monitoring stations Lanzhou city
	A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model 期刊论文 MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 卷号: 2020 作者: Wu, Lizhen; Kong, Chun; Hao, Xiaohong; Chen, Wei 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/06/16 Clustering algorithms Complex networks Convolutional neural networks Electric power plant loads Forecasting Mean square error
	Sound Active Attention Framework for Remote Sensing Image Captioning 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 3, 页码: 1985-2000 作者: Lu, Xiaoqiang; Wang, Binqiang; Zheng, Xiangtao 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/03/23 Active attention remote sensing image captioning semantic understanding

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