Breweries typically monitor fermentation by analyzing broth composition. Alcohols, esters, acids and residual sugars are ...

Abstract: To address the challenges of traditional marine meteorological prediction methods, which struggle to effectively capture intervariable correlations in multivariate time series data and ...

Managing irregular multivariate time series (IMTS) data is a significant challenge due to inherent irregularities and missing values. Recent advancements have utilized graph neural networks (GNNs) to ...

Abstract: This survey comprehensively examines the challenges and methodologies for missing data recovery in Multivariate Time Series (MTS) within the context of Internet of Things (IoT) environments.

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...

ABSTRACT: This study was aimed at the impact of AI technology on milk production and livelihoods of the farmers in Saesie-tsaedaemba District Eastern Zone, Tigray, Ethiopia. In the study area, AI is a ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Naphthenic acids (NAs) naturally occur in crude oil and its associated produced water, ...

A new method for neuroimaging analysis is shown to work with small groups of participants, opening the door for many studies that don't have access to massive sets of brain images. A group of ...

Brain images developed by Anders Dale representing the average over thousands of brains from the Adolescent Brain Cognitive Development (ABCD) study database. A group ...

Large-scale microbiome studies are progressively utilizing multiomics designs, which include the collection of microbiome samples together with host genomics and metabolomics data. Despite the ...