Results 41 to 50 of about 8,095,148 (356)
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
doaj +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
doaj +1 more source
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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Time series data analysis under indeterminacy
Journal of Big Data, 2023 The existing semi-average method under classical statistics is applied to measure the trend in the time series data. The existing semi-average method cannot be applied when the time series data is in intervals or imprecise.
Muhammad Aslam
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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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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 Survey on Change Detection and Time Series Analysis with Applications
Applied Sciences, 2021 With the advent of the digital computer, time series analysis has gained wide attention and is being applied to many fields of science. This paper reviews many traditional and recent techniques for time series analysis and change detection, including ...
Ebrahim Ghaderpour +2 more
semanticscholar +1 more source
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
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
Multifractal Detrended Fluctuation Analysis of Nonstationary Time Series [PDF]
, 2002 We develop a method for the multifractal characterization of nonstationary time series, which is based on a generalization of the detrended fluctuation analysis (DFA).
J. Kantelhardt +8 more
semanticscholar +1 more source