Results 81 to 90 of about 234,460 (307)
Temporal aggregation of univariate and multivariate time series models: A survey [PDF]
We present a unified and up-to-date overview of temporal aggregation techniques for univariate and multivariate time series models explaining in detail how these techniques are employed.
Andrea Silvestrini, David Veredas
core
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
DiffTST: Diff Transformer for Multivariate Time Series Forecast
IEEE AccessDeep learning models employing the Transformer architecture have demonstrated exceptional performance in the field of multivariate time series forecasting research.
Song Yang +5 more
doaj +1 more source
Multivariate analysis in vector time series [PDF]
, 2001 This paper reviews the applications of classical multivariate techniques for discrimination, clustering and dimension reduction for time series data. It is shown that the discrimination problem can be seen as a model selection problem. Some of the results obtained in the time domain are reviewed.
Peña, Daniel, Galeano, Pedro
openaire +2 more sources
Robust online signal extraction from multivariate time series [PDF]
We introduce robust regression-based online filters for multivariate time series and discuss their performance in real time signal extraction settings. We focus on methods that can deal with time series exhibiting patterns such as trends, level changes ...
Gather, Ursula, Lanius, Vivian
core
Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome
Advanced Science, EarlyView.We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu +19 more
wiley +1 more source
Discriminant analysis of multivariate time series using wavelets [PDF]
In analyzing ECG data, the main aim is to differentiate between the signal patterns of those of healthy subjects and those of individuals with specific heart conditions.
M. Andrés Alonso, Ann Elizabeth Maharaj
core
Capturing common components in high-frequency financial time series : a multivariate stochastic multiplicative error model [PDF]
, 2007 We introduce a multivariate multiplicative error model which is driven by componentspecific observation driven dynamics as well as a common latent autoregressive factor.
Hautsch, Nikolaus
core
Sex‐Specific Regulation of Glycemic Homeostasis by Theabrownin from Pu‐erh Tea
Advanced Science, EarlyView.Pu‐erh tea's key component, theabrownin (TB), lowers blood glucose in a sex‐specific manner. In females, estrogen boosts intestinal MUC2 production, which dramatically enhances TB's ability to inhibit the carbohydrate‐digesting enzyme α‐glucosidase.
Yang Li +22 more
wiley +1 more source
Advanced Science, EarlyView.This study identifies palmitoylation as a novel regulatory modification of SMAD4, mediated by ZDHHC22/APT2. It activates fatty acid synthesis, creating a self‐reinforcing SMAD4–FASN–palmitate feedback loop that drives pancreatic cancer growth and enhances radiotherapy sensitivity.
Yang Wang +16 more
wiley +1 more source