Results 11 to 20 of about 757,673 (309)
Unlocking dynamic capabilities in the Scotch whisky industry, 1945–present [PDF]
, 2022 In this article we examine the development of the Scotch whisky industry since 1945 through the lens of dynamic capabilities. We explain how sui generis acts—novel initiatives outwith the established repertoire of practices of a firm or industry—by ...
Mackenzie, Niall G. +4 more
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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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Exploring Dynamic Structures in Matrix-Valued Time Series via Principal Component Analysis
Axioms, 2023 Time-series data are widespread and have inspired numerous research works in machine learning and data analysis fields for the classification and clustering of temporal data. While there are several clustering methods for univariate time series and a few
Lynne Billard +2 more
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Estimation of missing data in a geophysical series of precipitation
, 2021 The analysis of dynamic systems is a topic of great interest in the basic sciences since it allows direct inference of the behavior of different systems. The study of physical phenomena provides large databases that, if recorded at regular time intervals,
GALLARDO PÉREZ, HENRY DE JESÚS +2 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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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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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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