Short-term prediction through ordinal patterns [PDF]
Royal Society Open Science, 2021 Prediction in natural environments is a challenging task, and there is a lack of clarity around how a myopic organism can make short-term predictions given limited data availability and cognitive resources.
Yair Neuman, Yochai Cohen, Boaz Tamir
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Short Term Prediction of Preeclampsia
Maternal-Fetal Medicine, 2021 . Preeclampsia (PE), a multisystem disorder in pregnancy, is a main cause of perinatal mortality and is associated with long-term maternal complications.
Dorota Sroka, Stefan Verlohren, Yang Pan
doaj +3 more sources
ECMWF short-term prediction accuracy improvement by deep learning. [PDF]
Sci Rep, 2022 This paper aims to describe and evaluate the proposed calibration model based on a neural network for post-processing of two essential meteorological parameters, namely near-surface air temperature (2 m) and 24 h accumulated precipitation.
Frnda J +5 more
europepmc +2 more sources
Novel robust time series analysis for long-term and short-term prediction. [PDF]
Sci Rep, 2021 Nonlinear phenomena are universal in ecology. However, their inference and prediction are generally difficult because of autocorrelation and outliers.
Okamura H +3 more
europepmc +2 more sources
COVID-19: Short term prediction model using daily incidence data. [PDF]
PLoS ONE, 2021 BackgroundPrediction of the dynamics of new SARS-CoV-2 infections during the current COVID-19 pandemic is critical for public health planning of efficient health care allocation and monitoring the effects of policy interventions.
Hongwei Zhao +7 more
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A new hybrid method to improve the ultra-short-term prediction of LOD. [PDF]
J Geod, 2020 Accurate, short-term predictions of Earth orientation parameters (EOP) are needed for many real-time applications including precise tracking and navigation of interplanetary spacecraft, climate forecasting, and disaster prevention.
Modiri S +5 more
europepmc +2 more sources
Short-term prediction for wind power based on temporal convolutional network
Energy Reports, 2020 The fluctuation and intermittence of wind power bring great challenges to the operation and control of the distribution network. Accurate short-term prediction for wind power is helpful to avoid the risk caused by the uncertainties of wind powers.
Wenlong Liao
exaly +2 more sources
Polar Motion Ultra-Short-Term Prediction of Least-Squares+Multivariate Autoregressive Hybrid Method by Using the Kalman Filter [PDF]
SensorsThe polar motion (PM, including two parameters PMx and PMy) ultra-short-term prediction (1–10 days) is demanded in the real-time navigation of satellites and spacecrafts.
Zhirong Tan, Fei Ye, Liangchun Hua
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ANALYSIS AND COMPARISON OF LONG SHORT-TERM MEMORY NETWORKS SHORT-TERM TRAFFIC PREDICTION PERFORMANCE [PDF]
Scientific Journal of Silesian University of Technology. Series Transport, 2020 Long short-term memory networks (LSTM) produces promising results in the prediction of traffic flows. However, LSTM needs large numbers of data to produce satisfactory results.
Erdem DOGAN
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Short term prediction of wind speed based on long-short term memory networks [PDF]
FME Transactions, 2021 Power utilities, developers, and investors are pushing towards larger penetrations of wind and solar energy-based power generation in their existing energy mix. This study, specifically, looks towards wind power deployment in Saudi Arabia. For profitable
Salman Umar T. +3 more
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