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在“Elsevier电子期刊”中，命中：14,109条，耗时：0.0149621 秒

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1.Distributed non-fragile filtering for T-S fuzzy systems with event-based communications

作者：Dan Zhang^a ; ^{danzhang@zjut.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; ^{jason_zhang19850626@hotmail.com" class="auth_mail" title="E-mail the corresponding author} ; Peng Shi^b ; ^c ; ^{peng.shi@adelaide.edu.au" class="auth_mail" title="E-mail the corresponding author} ; Qing-Guo Wang^d ; Li Yu^a

关键词：Non-fragile filtering ; Distributed H&infin ; H&infin ; filtering ; T-S fuzzy systems ; Sensor networks ; Event-based communication ; Linear matrix inequality

刊名：Fuzzy Sets and Systems

出版年：2017

2.Robust collaborative filtering based on non-negative matrix factorization and R₁-norm

作者：Fuzhi Zhang^a ; ^b ; ^{xjzfz@ysu.edu.cn} ; Yuanli Lu^a ; ^b ; ^{970785259@qq.com} ; Jianmin Chen^a ; ^b ; ^{597668714@qq.com} ; Shaoshuai Liu^a ; ^b ; ^{807827720@qq.com} ; Zhoujun Ling^a ; ^b ; ^{2289790690@qq.com}

关键词：Shilling attacks ; Robust collaborative filtering ; R1-norm ; Loss function ; Non-negative matrix factorization

刊名：Knowledge-Based Systems

出版年：2017

3.Local condition-based finite-horizon distributed H_∞-consensus filtering for random parameter system with event-triggering protocols

作者：Fei Han^a ; ^bAuthor Vitae ; Yan Song^c ; ^{sonya_usst@163.com}Author Vitae ; Sunjie Zhang^cAuthor Vitae ; Wangyan Li^aAuthor Vitae

关键词：H&infin ; -consensus filtering ; Sensor network ; Vector dissipativity ; Random parameters ; Event-triggering ; Local performance analysis

刊名：Neurocomputing

出版年：2017

4.Event-based recursive filtering for time-delayed stochastic nonlinear systems with missing measurements

作者：Jingyang Mao^a ; Derui Ding^a ; ^{deruiding2010@usst.edu.cn} ; Yan Song^a ; Yurong Liu^b ; ^c ; Fuad E. Alsaadi^c

关键词：Time-delayed stochastic nonlinear systems ; Recursive filtering ; Event-triggering protocols ; Varying thresholds

刊名：Signal Processing

出版年：2017

5.Joint state and multi-innovation parameter estimation for time-delay linear systems and its convergence based on the Kalman filtering

作者：Feng Ding^a ; ^b ; ^{fding@jiangnan.edu.cn}Author Vitae ; Xuehai Wang^b ; ^cAuthor Vitae ; Li Mao^bAuthor Vitae ; Ling Xu^bAuthor Vitae

关键词：Parameter estimation ; Kalman filtering ; Multi-innovation identification ; Time-delay system

刊名：Digital Signal Processing

出版年：2017

6.In situ filtering rate variability in egg and larval surveys off the Pacific coast of Japan: Do plankton nets clog or over-filter in the sea?

作者：Akinori Takasuka^a ; ^{takasuka@affrc.go.jp} ; Kazuaki Tadokoro^b ; Yuji Okazaki^b ; Tadafumi Ichikawa^b ; Hiroya Sugisaki^a ; Hiroshi Kuroda^c ; Yoshioki Oozeki^d

关键词：Egg and larval survey ; Filtering rate ; Flow-meter ; NORPAC ; Plankton net ; Western North Pacific

刊名：Deep Sea Research Part I: Oceanographic Research Papers

出版年：2017

7.Adaptive filtering for the lattice Boltzmann method

作者：Simon Marié ; ^a ; ^c ; ^{simon.marie@lecnam.net} ; Xavier Gloerfelt^b ; ^c

关键词：Lattice Boltzmann method ; Adaptive filtering ; Numerical stability ; Taylor&ndash ; Green vortex

刊名：Journal of Computational Physics

出版年：2017

8.On the difference between single- and double-sided bandpass filtering of spatial frequencies

作者：Xin Yang^a ; ^b ; Wei Jia^c ; ^{jw81@163.com" class="auth_mail" title="E-mail the corresponding author} ; Di Wu^a ; ^b ; Ting-Chung Poon^d

关键词：Spatial filtering ; Analog optical image processing ; Image enhancement

刊名：Optics Communications

出版年：2017

9.Empirical Mode Decomposition-based filtering for fatigue induced hand tremor in laparoscopic manipulation

作者：Sourav Chandra^a ; ^{ed11d004@smail.iitm.ac.in" class="auth_mail" title="E-mail the corresponding author} ; Mitsuhiro Hayashibe^b ; ^{Mitsuhiro.Hayashibe@inria.fr" class="auth_mail" title="E-mail the corresponding author} ; Asokan Thondiyath^a ; ^{asok@iitm.ac.in" class="auth_mail" title="E-mail the corresponding author}

关键词：Muscle fatigue ; Hand tremor filtering ; Robot assisted surgery ; Empirical Mode Decomposition ; Kullback&ndash ; Leibler Divergence

刊名：Biomedical Signal Processing and Control

出版年：2017

10.Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream

作者：A. Murat Yagci^a ; ^{murat.yagci@boun.edu.tr} ; Tevfik Aytekin^b ; Fikret S. Gurgen^a

关键词：Collaborative filtering ; Recommender systems ; Data stream mining ; Real-time intelligent systems ; Nearest neighbor search

刊名：Engineering Applications of Artificial Intelligence

出版年：2017

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