Time series clustering via matrix profile and community detection
Time series clustering has been used in diverse scientific areas to extract valuable
information from complex and massive time series datasets. To improve the quality and …
information from complex and massive time series datasets. To improve the quality and …
Quantitative evaluation of time‐dependent multidimensional projection techniques
EF Vernier, R Garcia, IP Silva… - Computer Graphics …, 2020 - Wiley Online Library
Dimensionality reduction methods are an essential tool for multidimensional data analysis,
and many interesting processes can be studied as time‐dependent multivariate datasets …
and many interesting processes can be studied as time‐dependent multivariate datasets …
A WSFA-based adaptive feature extraction method for multivariate time series prediction
S Yang, W Li, J Qiao - Neural Computing and Applications, 2024 - Springer
In recent years, artificial neural networks (ANNs) have been successfully and widely used in
multivariate time series prediction, but the accuracy of the prediction is significantly affected …
multivariate time series prediction, but the accuracy of the prediction is significantly affected …
Doğrusal genelleştirilmiş ağırlıklı n-den k çıkışlı F sistemin güvenilirlik analizi
The structure formed by connecting a certain number of components in parallel is called a
module. A generalized k-out-of-n F system consists of a sequence of N ordered modules in a …
module. A generalized k-out-of-n F system consists of a sequence of N ordered modules in a …
Applied integration of time series and multi-variable regression algorithms
Time Series (TS) based prediction models generate prediction based data that is supposed
to be similar to the future data at a certain level. In this study, we designed new modeling …
to be similar to the future data at a certain level. In this study, we designed new modeling …