Hand, Foot, and Mouth Disease Risk Prediction in Southern China: Time Series Study Integrating Web-Based Search and Epidemiological Surveillance Data. [PDF]
Chen Y +15 more
europepmc +1 more source
Applications of large‐scale artificial intelligence models in bioinformatics
Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li +5 more
wiley +1 more source
Multi-scale effects of runoff time series and its improved prediction methods. [PDF]
He Z +7 more
europepmc +1 more source
ABSTRACT This study explores how governance quality moderates the impact of education on carbon emissions in 119 developing countries from 2003 to 2021. Using a two‐step System GMM approach, it examines the roles of primary, secondary, and tertiary education alongside six governance indicators.
Charles Shaaba Saba +2 more
wiley +1 more source
Adaptive demand forecasting framework with weighted ensemble of regression and machine learning models along life cycle variability. [PDF]
Hammam IM, El-Kharbotly AK, Sadek YM.
europepmc +1 more source
Surrogate modeling with functional nonlinear autoregressive models (F-NARX)
ISSN:1879 ...
Schär, Styfen; id_orcid0000-0001-6715-220X +2 more
openaire +1 more source
ABSTRACT Temperature is an important factor affecting daily life, and accurate multi‐step temperature prediction can provide essential support for weather prediction, energy management, agricultural planning, and disaster mitigation. However, as the prediction horizon extends, the nonlinear nature of temperature data becomes more prominent, making it ...
Baohe Liu +4 more
wiley +1 more source
Rupiah exchange rate prediction against the US Dollar using a deep neural network with a multi-output sliding window approach. [PDF]
Amri IF +3 more
europepmc +1 more source
Generalized Additive Model With Dynamic Coefficients for Spatiotemporal Ozone Predictions
ABSTRACT Accurate prediction of surface‐level ozone concentrations is critical for air quality management and public health protection. This study develops a flexible spatiotemporal statistical modeling framework to predict daily mean O3 concentrations across Italy by integrating satellite‐derived ozone estimates with ground‐based observations and high‐
Abdollah Jalilian +3 more
wiley +1 more source
Modeling Saudi stock index returns and volatility: a dual approach using GARCH and neural networks. [PDF]
Al-Besher S, Al-Najjar D.
europepmc +1 more source

