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科研机构

自动化研究所 [7]

计算技术研究所 [5]

地理科学与资源研究所 [3]

兰州理工大学 [2]

数学与系统科学研究院 [1]

上海药物研究所 [1]

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期刊论文 [20]

会议论文 [2]

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2020 [22]

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发表日期：2020

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	Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke 期刊论文 ENVIRONMENT INTERNATIONAL, 2020, 卷号: 145, 页码: 16 作者: Li, Lianfa; Girguis, Mariam; Lurmann, Frederick; Pavlovic, Nathan; McClure, Crystal 收藏 \| 浏览/下载：124/0 \| 提交时间：2021/03/16 PM2.5 Machine learning Air pollution exposure Wildfires Remote sensing California High spatiotemporal resolution
	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
	Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3614-3626 作者: Li, Guangli; Ma, Xiu; Wang, Xueying; Liu, Lei; Xue, Jingling 收藏 \| 浏览/下载：31/0 \| 提交时间：2021/12/01 Deep learning system edge intelligence model compression and acceleration neural networks
	Ladder Pyramid Networks for Single Image Super-Resoluion 会议论文 Abudhabi, October 25th-October28th 作者: Mo, Zitao; He, Xiangyu; Li, Gang; Cheng, Jian 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/08/07 Ladder Pyramid Network, Lightweight Convolution, Super-Resolution
	Fault Diagnosis Method for Rolling Bearing under Variable Working Conditions Using Improved Residual Neural Network 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2020, 卷号: 54, 期号: 9, 页码: 23-31 作者: Zhao, Xiaoqiang; Liang, Haopeng 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/11/14 Convolution Failure analysis Fault detection Microphones Neural networks Time domain analysis End-to-end connections Fault diagnosis method Feature information Generalization ability Learning efficiency Neural network method Time-varying characteristics Working environment
	Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220 作者: Guyue, Hu; Bo, Cui; Shan, Yu 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/09/28 Skeleton-based Action Recognition Frequency Attention Synchronous Local and Non-local Learning Soft-margin Focal Loss Pesudo Multi-task Learning
	ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning 期刊论文 SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23 作者: Jia, Hongwei; Luo, Haiyong; Wang, Hao; Zhao, Fang; Ke, Qixue 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/12/10 forecasting passenger flow spatiotemporal networks multi-task learning attention mechanism spatiotemporal dependency
	Femoral head segmentation based on improved fully convolutional neural network for ultrasound images 期刊论文 SIGNAL IMAGE AND VIDEO PROCESSING, 2020, 卷号: 14, 期号: 5, 页码: 1043-1051 作者: Chen, Lei; Cui, Yutao; Song, Hong; Huang, Bingxuan; Yang, Jian 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/12/10 Developmental dysplasia of the hip Femoral head segmentation Fully convolutional neural networks Feature visualization
	Pyramid attention recurrent networks for real-time guidewire segmentation and tracking in intraoperative X-ray fluoroscopy 期刊论文 COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2020, 卷号: 83, 页码: 9 作者: Zhou, Yan-Jie; Xie, Xiao-Liang; Zhou, Xiao-Hu; Liu, Shi-Qi; Bian, Gui-Bin 收藏 \| 浏览/下载：38/0 \| 提交时间：2020/08/24 Guidewire Catheter Segmentation Deep learning X-ray fluoroscopy
	Uplink Low-Power Scheduling for Delay-Bounded Industrial Wireless Networks Based on Imperfect Power-Domain NOMA 期刊论文 IEEE SYSTEMS JOURNAL, 2020, 卷号: 14, 期号: 2, 页码: 2443-2454 作者: Xu, Chaonong; Wu, Mianze; Xu, Yongjun; Fang, Yuguang 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/12/10 Delay guarantee low power power control successive interference cancellation (SIC) uplink scheduling

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