The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

Abstract: Electronic noses (e-noses) have proven effective in detecting lung cancer (LC) by analyzing volatile organic compounds (VOCs) in breath samples, with multivariate time series classification ...

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 ...