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大连理工大学 [759]

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	Breast Cancer Histopathological Image Classification Based on Convolutional Neural Networks 期刊论文 JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2019, 卷号: 9, 页码: 735-743 作者: Zhang, Jianxin; Wei, Xiangguo; Che, Chao; Zhang, Qiang; Wei, Xiaopeng 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/02 Histopathological Image Classification Convolutional Neural Networks Breast Cancer Image Level Patient Level
	Batch denoising of ESPI fringe patterns based on convolutional neural network 期刊论文 APPLIED OPTICS, 2019, 卷号: 58, 页码: 3338-3346 作者: Hao, Fugui; Tang, Chen; Xu, Min; Lei, Zhenkun 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/02 Convolution Neural networks Speckle, Convolution neural network Convolutional neural network Electronic speckle pattern interferometry Fringe images Fringe pattern Low contrast Training dataset Variable density, Interferometry
	A robust modulation classification method using convolutional neural networks 期刊论文 EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2019, 卷号: 2019 作者: Zhou, Siyang; Yin, Zhendong; Wu, Zhilu; Chen, Yunfei; Zhao, Nan 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/02 Robust automatic modulation classification Convolutional neural networks Deep learning Feature learning
	An Optimization Strategy for High Efficiency and Low Axial Load Design of Hydraulic Model for Nuclear Reactor Coolant Pump [一种核主泵水力模型高效低轴向载荷优化改型策略] 期刊论文 Hedongli Gongcheng/Nuclear Power Engineering, 2019, 卷号: 40, 页码: 42-48 作者: Lu, Y.; Wang, X.; Zhou, F. 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/12/02 Axial loads Coolants Efficiency Hydraulic models Nuclear reactors Pumps Radial basis function networks Structural optimization, High performance Load characteristics Nuclear reactor coolant pumps Optimal structures Optimization strategy Performance characteristics Radial basis function neural networks Reactor coolant pumps, Structural design
	Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks 期刊论文 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 卷号: 176, 页码: 61-68 作者: Lu, Hongbin; Li, Lishuang; He, Xinyu; Liu, Yang; Zhou, Anqiao 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/02 Natural language processing Recurrent neural networks Granular attention mechanism Chemical-protein interactions extraction Swish activation function
	Human skill integrated motion planning of assembly manipulation for 6R industrial robot 期刊论文 INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2019, 卷号: 46, 页码: 171-180 作者: Liu, Yi; Cong, Ming; Dong, Hang; Liu, Dong 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/02 Robotics Convolutional neural networks Assembly manipulation Dual camera control Human skill
	FMnet: Iris Segmentation and Recognition by Using Fully and Multi-Scale CNN for Biometric Security 期刊论文 APPLIED SCIENCES-BASEL, 2019, 卷号: 9 作者: Tobji, Rachida; Di, Wu; Ayoub, Naeem 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/02 iris recognition iris segmentation Fully Convolutional Network (FCN) multi-scale Convolutional Neural Network (MCNN) convolutional neural networks (CNN)
	Bayesian rank penalization 期刊论文 NEURAL NETWORKS, 2019, 卷号: 116, 页码: 246-256 作者: Tang, Kewei; Su, Zhixun; Zhang, Jie; Cui, Lihong; Jiang, Wei 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/02 Bayesian model Generalized double Pareto LRR Low-rank RPCA
	Multi-scale Dense Networks for Deep High Dynamic Range Imaging 会议论文 2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01 作者: Yan, Qingsen; Gong, Dong; Zhang, Pingping; Shi, Qinfeng; Sun, Jinqiu 收藏 \| 浏览/下载：25/0 \| 提交时间：2019/12/02 Computer vision Deep neural networks Neural networks, Convolutional neural network High dynamic range images High dynamic range imaging Low dynamic range Missing information Quantitative experiments State-of-the-art approach State-of-the-art methods, Image reconstruction
	Low voltage AC series arc fault detection method based on parallel deep convolutional neural network 会议论文 2nd International Symposium on Application of Materials Science and Energy Materials, SAMSE 2018, Shanghai, China, 2018-12-17 作者: Yu, Qiongfang; Huang, Gaolu; Yang, Yi 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/12/02 Convolution Electric power systems Fault detection Neural networks Statistical tests, Connection mode Convolutional neural network Detection accuracy Low voltages Normal operations Percentage points Series arc-fault Training data sets, Deep neural networks

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