IEEE

Application of Multivariate Curve Resolution analysis and Multilayer Perceptron for Classification of Raman Spectra of the Skin

Abstract: This study examines the possibility of using a multilayer perceptron, as well as the expediency of reducing the data dimension using multivariate curve resolution analysis to classify the ...
GitHub

CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

In this repository, we present the code of "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting". conda create -n cmamba ...
AlphaGalileo

Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
IEEE

Multivariate Time Series Classification via Heterogeneous Graph Representation

Abstract: Multivariate time series (MTS) classification is essential in industries, such as healthcare and manufacturing, where it helps extract key features from complex data for decision-making and ...
SciELO

A Comparative Study of Recurrent Architectures for Imbalanced Dry Bean Classification

The classification of dry bean varieties is vital for agricultural productivity and food quality control. However, the inherent class imbalance in datasets poses challenges for machine learning (ML) ...