Results 91 to 100 of about 13,877 (197)

Improved forecasting of carbon dioxide emissions using a hybrid SSA ARIMA model based on annual time series data in Bahrain. [PDF]

Sci Rep
Althobaiti ZF.
europepmc   +1 more source

Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model. [PDF]

Comput Intell Neurosci, 2021
Lu S.
europepmc   +1 more source

Enhancing Identifiable Variational Autoencoder in the Presence of Missing Values and Auxiliary Covariates for Spatio‐Temporal Ozone Modeling

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT The formation of ground‐level ozone follows complex nonlinear photochemical processes that depend on multiple environmental factors and have strong spatio‐temporal structures. Environmental data used to study these dynamics usually originate from multiple sources, including in situ monitoring stations and satellite observations.
Mika Sipilä, Sandra De Iaco, Claudia Cappello, Klaus Nordhausen, Monica Palma, Sara Taskinen   +5 more
wiley   +1 more source

Birth and pregnancy numbers decreased during the COVID-19 pandemic in Japan: A time series analysis with the ARIMA model. [PDF]

J Obstet Gynaecol Res
Yamamoto K, Uchiyama K, Abe Y, Takaoka N, Haruyama Y, Kobashi G.   +5 more
europepmc   +1 more source

Application of the ARIMA Model in Forecasting the Incidence of Tuberculosis in Anhui During COVID-19 Pandemic from 2021 to 2022. [PDF]

Infect Drug Resist, 2022
Chen S, Wang X, Zhao J, Zhang Y, Kan X.
europepmc   +1 more source

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, Volume 14, Issue 9, Page 4438-4469, September 2026.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model. [PDF]

Sci Rep
Gong X, Li B, Yang Y, Li M, Li T, Zhang B, Zheng L, Duan H, Liu P, Hu X, Xiang X, Zhou X.   +11 more
europepmc   +1 more source

Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India. [PDF]

J Biomed Inform, 2021
Swaraj A, Verma K, Kaur A, Singh G, Kumar A, Kumar A, Melo de Sales L.   +6 more
europepmc   +1 more source

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

Journal of Forecasting, Volume 45, Issue 6, Page 2785-2806, September 2026.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

Forecasting of diarrhea disease using ARIMA model in Kendari City, Southeast Sulawesi Province, Indonesia. [PDF]

Heliyon
Tosepu R, Ningsi NY.
europepmc   +1 more source