Results 81 to 90 of about 794,789 (182)

Exponential Smoothing for Multivariate Time Series

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1966
Summary A method is presented for estimating the optimum weight matrix for the exponential smoothing and prediction of multivariate time series. A recursive version of the estimation equations is given. A variation allows the estimation to forget the remote past in order to follow a process in which the structure varies slowly with time.
openaire   +2 more sources

Meta Variational Memory Transformer for Anomaly Detection of Multivariate Time Series. [PDF]

Sensors (Basel)
Qin K, Li Y, Chen W, Hu X, Chen B, Liu H.   +5 more
europepmc   +1 more source

TSA-Net: Multivariate Time Series Anomaly Detection Based on Two-Stage Temporal Attention. [PDF]

Sensors (Basel)
Wu H, Le W, Jia ZH, Zhao H, Zhang S, Zhang ZS.   +5 more
europepmc   +1 more source

Dynamic Thermography-Based Early Breast Cancer Detection Using Multivariate Time Series. [PDF]

Sensors (Basel)
Espejel-Rivera MA, Toxqui-Quitl C, Padilla-Vivanco A, Castro-Ortega R.   +3 more
europepmc   +1 more source

An Outlier Suppression and Adversarial Learning Model for Anomaly Detection in Multivariate Time Series. [PDF]

Entropy (Basel)
Zhang W, Li T, He P, Yang Y, Wang S.
europepmc   +1 more source

Guidance for Interactive Visual Analysis in Multivariate Time Series Preprocessing. [PDF]

Sensors (Basel)
Valdivia FLP, Baca HAH.
europepmc   +1 more source

Improving Multivariate Time-Series Anomaly Detection in Industrial Sensor Networks Using Entropy-Based Feature Aggregation. [PDF]

Entropy (Basel)
Wang B.
europepmc   +1 more source

A multivariate time series prediction model based on the KAN network. [PDF]

Sci Rep
Long Y, Qin X.
europepmc   +1 more source

VCformer: Variable-Centric Multi-Scale Transformer for Multivariate Time Series Forecasting. [PDF]

Sensors (Basel)
Zhu J, Zuo E, Bi X, Chen C, Chen C, Yan Z, Lv X.   +6 more
europepmc   +1 more source

MMTransformer: a multivariate time-series resource forecasting model for multi-component applications. [PDF]

Sci Rep
Cui G, Hu T, Zhang W, Bao H.
europepmc   +1 more source