Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...

The ads appear in the August 2025 issue of American Vogue. The newest issue of Vogue is sending shockwaves across social media -- not just because Anne Hathaway is on the cover amid filming for the ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

This paper presents a comparative study of ARIMA and Neural Network AutoRegressive (NNAR) models for time series forecasting. The study focuses on simulated data generated using ARIMA(1, 1, 0) and ...

Abstract: ARIMA model is a statistical method for shortterm prediction of stationary time series, and in the specific modeling process, AIC and BIC criteria are generally used to select the number of ...

Abstract: The ARIMA model is a popular way to forecast financial time series. However, many time series such as financial or biological time series often have nonlinear properties which cause in model ...

The controller handles incoming requests and puts any data the client needs into a component called a model. When the controller's work is done, the model is passed to a view component for rendering.

Introduction: Rescuing individuals at sea is a pressing global public health issue, garnering substantial attention from emergency medicine researchers with a focus on improving prevention and control ...