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自动化研究所 [36]

心理研究所 [16]

兰州理工大学 [11]

计算技术研究所 [9]

合肥物质科学研究院 [9]

沈阳自动化研究所 [6]

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期刊论文 [88]

会议论文 [15]

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2020 [105]

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发表日期：2020

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	The role of lipoprotein profile in depression and cognitive performance: a network analysis 期刊论文 SCIENTIFIC REPORTS, 2020, 卷号: 10, 期号: 1, 页码: 7 作者: Jia, Qiu-fang; Yang, Han-xue; Zhuang, Nan-nan; Yin, Xu-yuan; Zhu, Zhen-hua 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/03/01
	Decreased Functional Connectivity Between the Right Precuneus and Middle Frontal Gyrus Is Related to Attentional Decline Following Acute Sleep Deprivation 期刊论文 FRONTIERS IN NEUROSCIENCE, 2020, 卷号: 14, 页码: 9 作者: Li, Bozhi; Zhang, Liwei; Zhang, Ying; Chen, Yang; Peng, Jiaxi 收藏 \| 浏览/下载：39/0 \| 提交时间：2021/03/01 attention functional connectivity middle frontal gyrus precuneus sleep deprivation
	Predicting future locations of moving objects with deep fuzzy-LSTM networks 期刊论文 TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2020, 卷号: 16, 期号: 1, 页码: 119-136 作者: Li, Mingxiao; Lu, Feng; Zhang, Hengcai; Chen, Jie 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/05/19 Location prediction fuzzy space partition mobile phone data trajectory data mining deep learning
	Scene Recognition Based on Recurrent Memorized Attention Network 期刊论文 ELECTRONICS, 2020, 卷号: 9, 期号: 12, 页码: 19 作者: Shao, Xi; Zhang, Xuan; Tang, Guijin; Bao, Bingkun 收藏 \| 浏览/下载：21/0 \| 提交时间：2021/03/08 scene classification attention model object locating
	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
	Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4707-4720 作者: Cai, Yi; Lin, Yujun; Xia, Lixue; Chen, Xiaoming; Han, Song 收藏 \| 浏览/下载：15/0 \| 提交时间：2021/12/01 Gradient sparsification lifetime neural networks training-in-memory wear-leveling
	Vehicle Trajectory Prediction by Knowledge-Driven LSTM Network in Urban Environments 期刊论文 JOURNAL OF ADVANCED TRANSPORTATION, 2020, 卷号: 2020 作者: Wang, Shaobo; Zhao, Pan; Yu, Biao; Huang, Weixin; Liang, Huawei 收藏 \| 浏览/下载：45/0 \| 提交时间：2020/12/28
	Enabling Secure NVM-Based in-Memory Neural Network Computing by Sparse Fast Gradient Encryption 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 11, 页码: 1596-1610 作者: Cai, Yi; Chen, Xiaoming; Tian, Lu; Wang, Yu; Yang, Huazhong 收藏 \| 浏览/下载：32/0 \| 提交时间：2020/12/10 Artificial neural networks Nonvolatile memory Encryption Computational modeling Hardware Non-volatile memory (NVM) compute-in-memory (CIM) neural network security encryption
	A Spatial-Temporal Positioning Algorithm Using Residual Network and LSTM 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 11, 页码: 9251-9261 作者: Wang, Rongrong; Luo, Haiyong; Wang, Qu; Li, Zhaohui; Zhao, Fang 收藏 \| 浏览/下载：43/0 \| 提交时间：2020/12/10 Wireless fidelity Feature extraction Fingerprint recognition Residual neural networks Deep learning Robustness Degradation Convolutional neural network (CNN) indoor positioning long short-term memory (LSTM) residual network spatial-temporal
	CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words 期刊论文 CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133 作者: Yuan, Yong; Chen, Chen; Hu, Xiyuan; Peng, Silong 收藏 \| 浏览/下载：123/0 \| 提交时间：2021/03/08 entropy image classification learning (artificial intelligence) neural nets object detection optimisation quantisation (signal) network structure DNN low-bit quantization time-consuming training compressor-based fast nonuniform quantization method quantization model post-training quantization methods deep neural networks network quantization compressor-based nonuniform quantization CNQ Non-uniform quantization Knowledge distillation Unlabeled samples Network compression

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