Results 11 to 20 of about 638,996 (262)
International Migration as a Factor of Social and Economic Development of Russia
Статистика и экономика, 2020 Purpose of research. The article examines the human potential of the Russian Federation in the context of the established second wave of the demographic crisis.
I. I. Glebkova, T. A. Dolbik-Vorobey
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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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Analysis of the development of Oil and Gas Industry in present conditions
Статистика и экономика, 2019 Purpose of the study. This study examines the state of companies of oil sector based on the analysis of dynamics and relationship between basic financial indicators, characterizing the activities of oil companies; it identifies factors affecting the ...
E. I. Larionova +2 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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Computation of Dynamic Equilibria in Series-Parallel Networks [PDF]
Mathematics of Operations Research, 2022 We consider dynamic equilibria for flows over time under the fluid queuing model. In this model, queues on the links of a network take care of flow propagation. Flow enters the network at a single source and leaves at a single sink. In a dynamic equilibrium, every infinitesimally small flow particle reaches the sink as early as possible given the ...
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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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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 clustering of time series data
CoRR, 2020 27 pages, 21 ...
Victhor S. Sartório +1 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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