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Understanding line integrals through the field X × Y X̂ – Y X̂

Gain a clear understanding of line integrals through the vector field 𝐹 = 𝑋 𝑖 ^ × 𝑌 𝑖 ^ − 𝑌 𝑖 ^ F=X i ^ ×Y i ^ −Y i ^ in this detailed physics and math tutorial. This video breaks down the ...
Nature

Introduction to the Theory of Fourier Integrals

SINCE the publication of Prof. Zygmund's “Trigonometric Series” in 1935, there has been considerable demand for another book dealing with trigonometric integrals. Prof. Titchmarsh's book meets this ...
IEEE

Advancing Multivariate Time Series Similarity Assessment: An Integrated Computational Approach

Abstract: Data mining, particularly multivariate time series data analysis, is crucial in extracting insights from complex systems and supporting informed decision-making across diverse domains.
IEEE

A Survey on Multivariate Time Series Imputation Using Adversarial Learning

Abstract: Multivariate time series (MTS) are captured in a great variety of real-world applications. However, analysing and modeling the data for classification and forecasting purposes can become ...
GitHub

Mamba for Multivariate Time Series Forecasting

A reversible instance normalization layer to normalize individual series. A linear embedding layer that projects individual series into the embedding space. Mamba blocks that capture the correlations ...
GitHub

Multivariate Variational Mode Decomposition (MVMD)

This code provides an implementation of the Multivariate Variational Mode Decomposition (MVMD) algorithm (1). MVMD is used to decompose multivariate or multichannel data sets, enabling the analysis of ...