Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...
Adapting to the stream: An instance-attention GNN method for irregular multivariate time series data
Framework of DynIMTS. The model is a recurrent structure based on a spatial-temporal encoder and consists of three main components: embedding learning, spatial-temporal learning, and graph learning.
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, ...
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 ...
Haider is a writer and editor with years of experience and has been a fan of GameRant for years due to its great content. As an anime features writer for the site, he theorizes about the latest anime ...
ABSTRACT: Purpose: To provide empirical evidence to explore the impact of knowledge management (KM) on the innovation performance of listed manufacturing firms in Ghana. Manufacturing firms are ...
Abstract: Correlations among process variables and inconsistencies in alarm decision making are quite common in multivariate alarm analysis, resulting in a large number of false alarms and missed ...
Abstract: The focus of this study is to analyse and compare the predictive capabilities of univariate and multivariate methods of forecasting the global horizontal irradiance (GHI) for an hour ahead.
Recently developed methods for video analysis, especially models for pose estimation and behavior classification, are transforming behavioral quantification to be more precise, scalable, and ...
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