An ensemble approach integrating LSTM and ARIMA models for enhanced financial market predictions. [PDF]
Mochurad L, Dereviannyi A.
europepmc +1 more source
Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source
Malaria amidst the COVID-19 pandemic in Gabon: an application of autoregressive integrated moving average (ARIMA) models within an interrupted time series (ITS) framework to hospital-based data. [PDF]
Roeder F +7 more
europepmc +1 more source
Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19. [PDF]
Singh S +3 more
europepmc +1 more source
ABSTRACT Evaluation of service quality in public systems represents a critical challenge in the context of increasing demographic pressure and economic uncertainty. Pension systems, such as the Italian system managed by INPS, can be interpreted as complex service infrastructures whose quality depends on financial sustainability, efficiency, and ...
Gianfranco Piscopo +3 more
wiley +1 more source
Long-term forecasting and evaluation of medicine consumption for the ATC class H with a focus on thyroid hormones in OECD countries using ARIMA models. [PDF]
Bindel LJ, Seifert R.
europepmc +1 more source
Multi‐Scale Transformer Framework for Explainable Medium‐Term Household Energy Forecasting
A leak‐safe Multi‐Scale Transformer (MSTr) fuses daily, weekly, and seasonal patterns via gated pooling to forecast electricity demand over 1–4 weeks. MSTr outperforms LightGBM/LSTM and naive baselines across horizons while offering interpretable scale contributions and feature effects.
Michael Marko Sesay +2 more
wiley +1 more source
Forecasting Daily Radiotherapy Patient Volumes in a Tertiary Hospital Using Autoregressive Integrated Moving Average (ARIMA) Models. [PDF]
Peerawong T +2 more
europepmc +1 more source
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 +5 more
wiley +1 more source

