Multidimensional time-series analysis of ground deformation from multiple InSAR data sets applied to Virunga Volcanic Province. Geophys. J. Int. 2012, 191, 1095-1108.Samsonov, S., D'Oreye , N., "Multidimensional time-series analysis of ground deformation from multiple InSAR data sets applied ...
Data visualization techniques have been successfully used in a time series context for many years. In this work, a web-based data visualization system was developed to support the evolutionary analysis of atmospheric particulate matter (PM10) behavior, collected in the central region of S?o Carlos...
1.The analysis object in this paper is Cubic Time Series Data(CTSD),which is three-dimensional data composed by cross-sectional data and time series data.本文所研究的是一种由截面数据和时间序列数据共同组成的具有立体结构的三维数组,即时序立体数据,并以定义的点积和常数型均值为基础,试图从理论上推导...
PROBLEM TO BE SOLVED: To provide a multi-dimensional time series data analysis device making it unnecessary to determine a parameter value in advance, training in advance, for a user to create any training data, or for the user to present any correct answer, and making it possible to determi...
1) Multidimensional time series data 立体时序数据2) multi dimensional time series 时序立体数据表 1. According to the feature of the comprehensive evaluation problems in case of multi dimensional time series, by a new method named "vertical and horizontal", scatter degree is proposed to determine...
rtwittersentiment-analysistopic-modelingtime-series-analysismultidimensional-analysispart-of-speech-tagging UpdatedMar 19, 2022 R pjmateus/monte-carlo-annealing Star2 Code Issues Pull requests Monte-Carlo search for the minimum of the multidimensional "cost" function ...
Multidimensional time-series analysis of ground deformation from multiple InSAR data sets applied to Virunga Volcanic Province A novel, multidimensional small baseline subset (MSBAS) methodology is presented for integration of multiple interferometric synthetic aperture radar (InSA... S Samsonov,N D'Or...
aCluster analysis of the RNA-Seq Unweighted Co-expression Network. The 171 seed nodes obtained from CellAge and their first order interactors. The colours represent the breakdown of the network into clusters. The algorithm revealed 52 distinct clusters, of which we color and order the 19 clusters...
Principal component analysis of multidimensional psychiatric states Multidimensional psychiatric time-series data were decomposed into orthogonal principal components. The top four components explained ~60% of the variance (PC1: 24.1%, PC2: 14.3%, PC3: 11.0%, PC4: 10.6%, in total 59.9%), so we ...
A time series analysis was performed to assess the impact of our approach.Results In phase 1, we recorded 2,376 mechanical ventilator (MV)-days, and in phase 2, after implementing the multidimensional approach, we recorded 28,181 MV-days. The rate of VAP was 31.14 per 1,000 MV-days ...