IEEE

Correlation based LSTM for Multivariate Time Series Anomaly Detection

Abstract: With the proliferation of multivariate time series data in various fields, this paper proposes an anomaly detection method based on modelling the correlation of multivariate time series. The ...
GitHub

MMER: Python Package for Multivariate Mixed Effects Regression

MMER is a Python package for multivariate mixed-effects regression featuring a modular fixed-effects component. It supports parametric and non-parametric machine learning regressors (neural networks, ...
IEEE

Multivariate Correlation Self-Distillation Transformer for Time Series Forecasting With Incomplete Data

Abstract: Multivariate time series forecasting estimates future development by capturing variable relationships and constructing temporal regular, which is widely used in many scenarios, including ...
C&EN

Low Molecular Weight Peptide Fraction from Poultry Byproduct Hydrolysate Features Dual ACE-1 and DPP4 Inhibition

Nofima AS─Norwegian Institute of Food, Fisheries and Aquaculture Research, P.O. Box 210, Ås NO-1431, Norway Department of Chemistry, University of Oslo, P.O. Box 1033, Oslo NO-0315, Norway ...
TechCrunch

DG Matrix raises $60M to make data center power smarter

Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology. Traditional transformers are bulky and hot, but a new generation of ...