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Extraperitoneal tunneling reduces intraperitoneal drain displacement in rectal cancer surgery: a single-center before-and-after comparative study. [PDF]

Ann Coloproctol
Choi MJ, Jo MH, Kang KM, Ahn HM, Oh HK, Kim DW, Kang SB.   +6 more
europepmc   +1 more source

Drivers of technology diffusion speed in countries. [PDF]

Nat Commun
Greene JH, Gidden MJ, Brutschin E, Nemet GF.   +3 more
europepmc   +1 more source

Adaptive weighted dynamic time warping clustering with a deep codec model for accurate photovoltaic power prediction. [PDF]

Sci Rep
Xin Z, Zheng G, Chi W, Lu J, Hao L.
europepmc   +1 more source

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Visual Analysis of Industrial Multivariate Time Series

Proceedings of the 14th International Symposium on Visual Information Communication and Interaction, 2021
The recent development in the data analytics field provides a boost in production for modern industries. Small-sized factories intend to take full advantage of the data collected by sensors used in their machinery. The ultimate goal is to minimize cost and maximize quality, resulting in an increase in profit.
Maath Musleh, Angelos Chatzimparmpas, Ilir Jusufi   +2 more
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Multivariate time-series analysis and diffusion maps

Signal Processing, 2015
Dimensionality reduction in multivariate time series analysis has broad applications, ranging from financial data analysis to biomedical research. However, high levels of ambient noise and various interferences result in nonstationary signals, which may lead to inefficient performance of conventional methods.
Wenzhao Lian, Ronen Talmon, Hitten Zaveri, Lawrence Carin, Ronald R. Coifman   +4 more
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Detrended fluctuation analysis of multivariate time series

Communications in Nonlinear Science and Numerical Simulation, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hui Xiong 0008, Pengjian Shang
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Decision forest for multivariate time series analysis

Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services, 2011
Nowadays with time series accounting for an increasingly large fraction of world's supply of data, there has been an explosion of interest in mining time series data. This paper proposes a multivariate time series classification model which is both effective in classifier's accuracy and comprehensibility.
Ning He, Leyang Li, Osamu Yoshie
openaire   +2 more sources