Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Malnutrition is a leading cause of morbidity and mortality for children under-5 globally. Low- and middle-income countries, such as Kenya, bear the greatest burden of malnutrition. The Kenyan ...

Worldwide Flight Services (WFS) has improved its machine learning tool to better forecast air cargo volumes and support better strategy development for services. The Performance Management Platform - ...

Ant International currently deploys the Falcon TST AI Model to forecast cashflow and FX exposure with more than 90% accuracy Ant International, a leading global digital payment, digitisation, and ...

For the first time since 2019, the World Series is going to Game 7. After the Blue Jays won Games 4 and 5 of the series at Dodger Stadium, the Dodgers came back and won Game 6 in Toronto to even the ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

Time Series Forecasting Engine is a comprehensive, production-ready Python framework for advanced time series forecasting. It combines statistical models (ARIMA), machine learning approaches (Prophet) ...

(*, **) Although the paper reports this low R 2 value, it is likely a typographical error. Thus, unlike prior studies, often constrained by modest sample sizes and a ...