Results 11 to 20 of about 3,221,773 (299)
Dynamic MRI in a COVID-19 patient: a case series [PDF]
Digital Diagnostics, 2023 Extensive spread of the coronavirus disease (COVID-19) prompted an investigation of its diagnostic features. Acute viral pneumonia associated with COVID-19 has been described in detail using CT, radiography, and MRI. There is no data in the literature on
Yuriy A. Vasilev +6 more
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Dynamic Matrix Clustering Method for Time Series Events
Jisuanji kexue yu tansuo, 2021 Time series events clustering is the basis of studying the classification of events and mining analysis. Most of the existing clustering methods directly aim at continuous events with time attribute and complex structure, but the transformation of ...
MA Ruiqiang, SONG Baoyan, DING Linlin, WANG Junlu
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Dynamic Model for LES Without Test Filtering: Quantifying the Accuracy of Taylor Series Approximations [PDF]
, 2001 The dynamic model for large-eddy simulation (LES) of turbulent flows requires test filtering the resolved velocity fields in order to determine model coefficients.
Charlette, Fabrice +2 more
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IEEE Access, 2020 Time series segmentation is an important vehicle of data mining and extensively applied in the areas of machine learning and anomaly detection. In real world tasks, dynamics widely exist in time series but have been little concerned.
Shaowen Lu, Shuyu Huang
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Multivariate dynamic kernels for financial time series forecasting [PDF]
, 2016 The final publication is available at http://link.springer.com/chapter/10.1007/978-3-319-44781-0_40We propose a forecasting procedure based on multivariate dynamic kernels, with the capability of integrating information measured at different frequencies ...
AJ Smola +6 more
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A Novel Time-Sensitive Composite Similarity Model for Multivariate Time-Series Correlation Analysis
Entropy, 2021 Finding the correlation between stocks is an effective method for screening and adjusting investment portfolios for investors. One single temporal feature or static nontemporal features are generally used in most studies to measure the similarity between
Mengxia Liang +2 more
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GNSSseg, a Statistical Method for the Segmentation of Daily GNSS IWV Time Series
Remote Sensing, 2022 Homogenization is an important and crucial step to improve the usage of observational data for climate analysis. This work is motivated by the analysis of long series of GNSS Integrated Water Vapour (IWV) data, which have not yet been used in this ...
Annarosa Quarello +2 more
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Dynamic scaling approach to study time series fluctuations [PDF]
, 2007 We propose a new approach for properly analyzing stochastic time series by mapping the dynamics of time series fluctuations onto a suitable nonequilibrium surface-growth problem. In this framework, the fluctuation sampling time interval plays the role of
A. S. Weigend +9 more
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Learning Manifolds from Dynamic Process Data
Algorithms, 2020 Scientific data, generated by computational models or from experiments, are typically results of nonlinear interactions among several latent processes. Such datasets are typically high-dimensional and exhibit strong temporal correlations.
Frank Schoeneman +4 more
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Dynamic Similar Sub-Series Selection Method for Time Series Forecasting
IEEE Access, 2018 Accumulation of influencing factors during several consecutive time periods makes the variation of target parameters lag behind the variation of their influencing factors.
Peiqiang Li +6 more
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