中国科学院机构知识库网格系统: 检索

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	Recovering Bathymetry From Satellite Altimetry-Derived Gravity by Fully Connected Deep Neural Network 期刊论文 OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 卷号: 20, 页码: 5 作者: Yang, Lei; Liu, Min; Liu, Na; Guo, Jinyun; Lin, Lina \| 收藏 \|
	Simulating and predicting the performance of a horizontal subsurface flow constructed wetland using a fully connected neural network 期刊论文 OAI收割 JOURNAL OF CLEANER PRODUCTION, 2022, 卷号: 380, 页码: 134959-1-11 作者: Li, Pengyu; Zheng, Tianlong; Li, Lin; Lv, Xiuyuan; Wu, WenJun \| 收藏 \|
	Classifying the tracing difficulty of 3D neuron image blocks based on deep learning 期刊论文 OAI收割 Brain Informatics, 2021, 卷号: 8, 期号: 1 作者: Yang,Bin; Huang,Jiajin; Wu,Gaowei; Yang,Jian \| 收藏 \|
	Misalignment Calculation on Off-Axis Telescope System via Fully Connected Neural Network 期刊论文 OAI收割 IEEE Photonics Journal, 2020, 卷号: 12, 期号: 4, 页码: 0600112-1-12 作者: Liu, Zhu; Peng, Oi; Xu, Yangjie; Ren, Ge; Ma, Haotong \| 收藏 \|
	Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5655-5666 作者: Liu, Jing; Wang, Yuhang; Li, Yong; Fu, Jun; Li, Jiangyun \| 收藏 \|
	A Deep Learning Approach to Real-Time Recovery for Compressive Hyper Spectral Imaging 会议论文 OAI收割 Chongqing, PEOPLES R CHINA, 2017-10-03 作者: Li, Ruimin; Zeng, Yang; Wen, Desheng; Song, Zongxi; Li, RM (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China. \| 收藏 \|