中国科学院重庆绿色智能技术研究院机构知识库

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发表日期：2021

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	Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data 期刊论文 ENVIRONMENTAL MODELLING & SOFTWARE, 2021, 卷号: 145, 页码: 12 作者:  Zhang, Qin;  Zhang, Liping;  She, Dunxian;  Wang, Shuxia;  Wang, Gangsheng;  Zeng, Sidong 收藏  |  浏览/下载：49/0  |  提交时间：2021/11/26 Peak over threshold (POT)  MATLAB  Flood characteristics  Master recession curve  Baseflow separation  Flood hydrograph
	Compressive Beamforming Based on Multiconstraint Bayesian Framework 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 11, 页码: 9209-9223 作者:  Li, Chao;  Zhou, Tian;  Guo, Qijia;  Cui, Hong-Liang 收藏  |  浏览/下载：172/0  |  提交时间：2021/12/28 Bayesian sparse learning (BSL)  deterministic compressive sensing (CS)  multiconstraint  multisnapshot beamforming  multiple signal classification (MUSIC)
	Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 4, 页码: 2142-2155 作者:  Luo, Xin;  Chen, Minzhi;  Wu, Hao;  Liu, Zhigang;  Yuan, Huaqiang;  Zhou, Mengchu 收藏  |  浏览/下载：83/0  |  提交时间：2021/11/26 Tensors  Data models  Quality of service  Computational modeling  Analytical models  Training  Web services  Algorithm  big data  dynamics  high-dimensional and incomplete (HDI) data  machine learning  missing data estimation  multichannel data  nonnegative latent factorization of tensors (NLFT)  temporal pattern  quality of service (QoS)  web service
	Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 3, 页码: 1012-1025 作者:  Peng, Qinglan;  Xia, Yunni;  Zhou, MengChu;  Luo, Xin;  Wang, Shu;  Wang, Yuandou;  Wu, Chunrong;  Pang, Shanchen;  Lin, Mingwei 收藏  |  浏览/下载：175/0  |  提交时间：2021/08/20 Reliability  Mobile handsets  Mobile applications  Device-to-device communication  Cloud computing  Service computing  Quality of service  Intelligent optimization  Krill-Herd algorithm  mobile computing  mobile opportunistic network  mobile service composition  service reliability
	An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 6, 页码: 3522-3532 作者:  Luo, Xin;  Wang, Zidong;  Shang, Mingsheng 收藏  |  浏览/下载：82/0  |  提交时间：2021/08/20 High-dimensional and sparse (HiDS) data  industrial application  instance-frequency  non-negative latent factor analysis (NLFA)  recommender system  regularization
	Pragmatic Implementation With Non-Gaussian Devices of Noise-Limited Weak Value Amplification 期刊论文 IEEE PHOTONICS JOURNAL, 2021, 卷号: 13, 期号: 2, 页码: 11 作者:  Wu, Hao;  Wu, Peng;  Luo, Zheng-Chun;  Xu, Li-Ping;  Xie, Jia-Heng;  Chang, Tian-Ying;  Shi, Hao-Fei;  Du, Chun-Lei;  Cui, Hong-Liang 收藏  |  浏览/下载：291/0  |  提交时间：2021/04/06 Phase measurement  Wave functions  Measurement uncertainty  Couplings  Sensitivity  Light sources  Frequency measurement  Weak measurement  phase estimation  precision optimization
	An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13 作者:  Shang, Mingsheng;  Yuan, Ye;  Luo, Xin;  Zhou, MengChu 收藏  |  浏览/下载：55/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Convergence  Data models  Predictive models  Linear programming  Euclidean distance  -divergence  big data  convergence analysis  high-dimensional and sparse (HiDS) data  momentum  machine learning  missing data estimation  non-negative latent factor analysis (NLFA)  recommender system (RS)
	A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 610-620 作者:  Luo, Xin;  Liu, Zhigang;  Li, Shuai;  Shang, Mingsheng;  Wang, Zidong 收藏  |  浏览/下载：102/0  |  提交时间：2021/03/17 Big data  high-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  missing data estimation  non-negative LF (NLF) model  recommender system