ABSTRACT: Cereal production in Somalia is characterized by extreme volatility driven by climate shocks. This study addresses the limitations of traditional agricultural planning by evaluating optimal ...

ABSTRACT: Despite its significant impacts on climate, environment, and public health, air pollution monitoring in Africa is still sparse. This study developed a machine learning framework of four ...

This repository contains a Python-based project for real-time healthcare monitoring, focusing on forecasting patient heart rates using the ARIMA (AutoRegressive Integrated Moving Average) model. The ...

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 COVID-19 pandemic had a significant effect on worldwide financial markets, resulting in unparalleled instability and unpredictability. This study demonstrates the use of the ...

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