Results 31 to 40 of about 37,567,741 (306)
Eddies: Fluid Dynamical Niches or Transporters?–A Case Study in the Western Baltic Sea
Frontiers in Marine Science, 2019 Fluid flows in the ocean have a strong impact on the growth and distribution of planktonic communities. In this case study, we applied a Lagrangian eddy detection and tracking tool and a transfer operator approach to data from a coupled hydrodynamical ...
Rahel Vortmeyer-Kley +5 more
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Nonlinear Analysis of Financial Time Series [PDF]
Ovidius University Annals: Economic Sciences Series, 2022 One of the axioms of the modern science states that, if one can identify an exact mathematical description of a physical system, then a very detailed understanding of the system’s properties is possible.
Sorin Vlad, Mariana Vlad
doaj
Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series
, 2023 The temporal structure of behavior contains a rich source of information about its dynamic organization, origins, and development. Today, advances in sensing and data storage allow researchers to collect multiple dimensions of behavioral data at a fine ...
Ralf Cox +3 more
core +1 more source
On predicting climate under climate change
Environmental Research Letters, 2013 Can today’s global climate model ensembles characterize the 21st century climate in their own ‘model-worlds’? This question is at the heart of how we design and interpret climate model experiments for both science and policy support.
Joseph D Daron, David A Stainforth
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Visibility Graph Based Time Series Analysis. [PDF]
PLoS ONE, 2015 Network based time series analysis has made considerable achievements in the recent years. By mapping mono/multivariate time series into networks, one can investigate both it's microscopic and macroscopic behaviors. However, most proposed approaches lead
Mutua Stephen, Changgui Gu, Huijie Yang
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Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction
Sensors, 2021 A wide range of applications based on sequential data, named time series, have become increasingly popular in recent years, mainly those based on the Internet of Things (IoT).
Ricardo Petri Silva +3 more
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A Machine-Learning Framework for Modeling and Predicting Monthly Streamflow Time Series
Hydrology, 2023 Having a complete hydrological time series is crucial for water-resources management and modeling. However, this can pose a challenge in data-scarce environments where data gaps are widespread.
Hatef Dastour, Quazi K. Hassan
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A Novel Method for IPTV Customer Behavior Analysis Using Time Series
IEEE Access, 2022 Internet Protocol Television (IPTV) has had a significant impact on live TV content consumption in the past decade, as improvements in the broadband speed have allowed more data volume to be delivered.
Tomislav Hlupic +2 more
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Statistical analysis of medical time series
Journal of V. N. Karazin Kharkiv National University: Series Medicine, 2020 Statistical analysis of data sets is a necessary component of any medical research. Modern methods of mathematical statistics and statistical application suites provide extensive capabilities for analysis of random values.
Alexander Martynenko +3 more
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Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
Pediatric Blood &Cancer, EarlyView.ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan +18 more
wiley +1 more source