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科研机构

地理科学与资源研究所 [2]

计算技术研究所 [2]

四川大学 [2]

武汉大学 [2]

北京航空航天大学 [1]

新疆理化技术研究所 [1]

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期刊论文 [14]

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2019 [14]

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浏览/检索结果: 共14条，第1-10条

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限定条件	发表日期：2019 内容类型：期刊论文

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	A QoS-QoR Aware CNN Accelerator Design Approach 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, 卷号: 38, 期号: 11, 页码: 1995-2007 作者: Wang, Ying; Li, Huawei; Cheng, Long; Li, Xiaowei 收藏 \| 浏览/下载：12/0 \| 提交时间：2020/12/10 Approximate computing convolutional neural network (CNN) deep learning (DL) quality of service (QoS) real-time
	Parallel Building: A Complex System Approach for Smart Building Energy Management 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2019, 卷号: 6, 期号: 6, 页码: 1452-1461 作者: Almalaq, Abdulaziz; Hao, Jun; Zhang, Jun Jason; Wang, Fei-Yue 收藏 \| 浏览/下载：10/0 \| 提交时间：2020/03/30 ACP theory artificial intelligence data acquisition deep learning (DL) energy consumption machine learning parallel energy prediction prediction algorithms smart grid
	County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model 期刊论文 SENSORS, 2019, 卷号: 19, 期号: 20, 页码: 21 作者: Sun, Jie; Di, Liping; Sun, Ziheng; Shen, Yonglin; Lai, Zulong 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/05/19 soybean yield prediction county-level Google Earth Engine CNN-LSTM
	A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes 期刊论文 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 页码: 22 作者: Ren, Yibin; Chen, Huanfa; Han, Yong; Cheng, Tao; Zhang, Yang 收藏 \| 浏览/下载：76/0 \| 提交时间：2019/11/14 Spatio-temporal flow volume prediction deep learning LSTM ResNet
	An Improved Perceptual Hash Algorithm Based on U-Net for the Authentication of High-Resolution Remote Sensing Image 期刊论文 APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 15, 页码: 20 作者: Ding, Kaimeng; Yang, Zedong; Wang, Yingying; Liu, Yueming 收藏 \| 浏览/下载：94/0 \| 提交时间：2020/03/23 high-resolution remote sensing image deep learning perceptual hash integrity authentication U-net
	EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation. 期刊论文 IEEE Transactions on Neural Networks & Learning Systems, 2019, 卷号: Vol.30 No.9, 页码: 2755-2763 作者: Gao, Zhongke; Wang, Xinmin; Yang, Yuxuan; Mu, Chaoxu; Cai, Qing 收藏 \| 浏览/下载：28/0 \| 提交时间：2019/11/21 Brain modeling Brain–computer interface (BCI) Convolution convolutional neural network (CNN) deep learning (DL) electroencephalogram (EEG) Electroencephalography Fatigue fatigue driving Feature extraction Physiology spatio–temporal data Task analysis
	Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 1, 页码: 38-48 作者: Ma, Chao; An, Wei; Lei, Yinjie; Guo, Yulan 收藏 \| 浏览/下载：27/0 \| 提交时间：2019/04/03 3-D object recognition convolutional neural network (CNN) deep learning (DL) network binarization volumetric representation
	Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2019, 卷号: Vol.68 No.1, 页码: 38-48 作者: Chao Ma; Yulan Guo; Yinjie Lei; Wei An 收藏 \| 浏览/下载：17/0 \| 提交时间：2019/02/25 Object recognition Shape Performance evaluation Solid modeling Task analysis Convolutional neural networks Acceleration 3-D object recognition convolutional neural network (CNN) deep learning (DL) network binarization volumetric representation
	Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2019, 卷号: Vol.68 No.1, 页码: 38-48 作者: Chao Ma; Yulan Guo; Yinjie Lei; Wei An 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/02/25 Object recognition Shape Performance evaluation Solid modeling Task analysis Convolutional neural networks Acceleration 3-D object recognition convolutional neural network (CNN) deep learning (DL) network binarization volumetric representation
	Remote Sensing Semantic Segregation for Water Information Extraction: Optimization of Samples via Training Error Performance 期刊论文 IEEE ACCESS, 2019, 卷号: 7 作者: Wang, Rui; Meng, Yizhuo; Zhang, Wen; Li, Ziyao; Hu, Fengmin 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/05 Training error error analysis deep learning (DL) semantic segmentation remote sensing water information extraction generalization accuracy

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