Educational ResearchResearch DesignTimeTrend AnalysisValidityThe promise of time-series designs for educational research and evaluation is reviewed. Ten time-series designs are presented and discussed in the context of threats to internal and external validity. The advantages and disadvantages of various ...
Acycle runs either in the MATLAB environment or as a stand-alone application on Mac and Windows Read More Please cite Mingsong Li, Linda A. Hinnov, Lee R. Kump, 2019. Acycle: Time-series analysis software for paleoclimate research and education. Computers & Geosciences. 127: 12-22. htt...
Time series simulations remain an active area of research—and a computationally demanding one—in many fields, including: Meteorology Finance Epidemiology Quantum chemistry Plasma physics In some of these cases, the fundamental rules of behavior are well understood, but it can still be ...
It is shown that the VAR(1) model outperforms the OU model for the majority of the time series, even though time intervals in the data are unequally spaced. Accounting for measurement error does not change the result. Deleting large abrupt changes on short time intervals (that may be ...
This work systematically reviews and empirically compares different data augmentation methods for time series. 2. They discuss and highlight five future directions to provide useful research guidance. Neural temporal point processes: a review IJCAI 2021 - 1. They focus on important design choices and...
AR-Net: A simple Auto-Regressive Neural Network for time-series Oskar Triebe, et al. Facebook Research Code not yet. Learning Time-series Data of Industrial Design Optimization using Recurrent Neural Networks Sneha Saha, et al. Honda Research Institute Europe GmbH ...
and are typically constrained to push-off. The purpose of this study was to analyze differences between active and passive prostheses and non-amputees in coordination of balance throughout gait on ramps. We used Statistical Parametric Mapping (SPM) to analyze time-series contributions of body segmen...
Therefore, the research objectives are:(1) Recognize requirements for timeseries platforms inprocess industry, generalizing from the continuouscasting process in steelmaking⋆This work has been supported by CAPRI project, which hasreceived funding from the European Union’s Horizon 2020 researchand ...
Integrating the self-attention mechanism into ROP prediction models enhances the understanding of dynamic patterns within time series data. Model architecture design As indicated in Sect. 1, many researchers have utilized RNNs to construct ROP prediction models; however, ROP prediction models based on ...
Time Series Classif i cation (TSC) is an extensively researchedf i eld from which a broad range of real-world problems can be addressedobtaining excellent results. One sort of the approaches performing wellare the so-called dictionary-based techniques. The Temporal DictionaryEnsemble (TDE) is ...