Abstract: The past decade has witnessed the success of deep learning-based multivariate time-series forecasting in Internet of Things (IoT) systems. However, dynamic variable correlation remains a ...
A. Cicone, H. Zhou. 'Numerical Analysis for Iterative Filtering with New Efficient Implementations Based on FFT'. Numerische Mathematik, 147 (1), pages 1-28, 2021 ...
Abstract: Extended dispersion entropy-based Lempel–Ziv complexity (EDELZC) can measure the irregularity or chaos of single-channel time series, which is one of the ideal tools for extracting fault ...
Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
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