GitHub

ADR-024-contrastive-csi-embedding-model.md

WiFi CSI signals encode a rich manifold of environmental and human information: room geometry via multipath reflections, human body configuration via Fresnel zone perturbations, and temporal dynamics ...
Frontiers

A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
IEEE

Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection

Abstract: Anomaly detection in multivariate time series (MTS) is crucial in domains such as industrial monitoring, cybersecurity, healthcare, and autonomous driving. Deep learning approaches have ...
Scientific Research Publishing

Utilizing the Vector Autoregression Model (VAR) for Short-Term Solar Irradiance Forecasting ()

Forecasting solar irradiance is a critical task in the renewable energy sector, as it provides essential information regarding the potential energy production from solar panels. This study aims to ...
Analytics India Magazine

Hands-On Tutorial on Vector AutoRegression(VAR) For Time Series Modeling

VAR models analyse and predict multivariate time series data, unlike univariate autoregressive models. These models are particularly useful in fields such as economics and weather forecasting. VAR ...