Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.

Officials expect more heat and dry conditions in Western Canada, which faces a higher risk of wildfires heading into September while the rest of the country cools down. By Vjosa Isai and Judson Jones ...

This study analyzes global land surface temperature changes using K-Means clustering and time series prediction using XGBoost. K-Means clustering was employed to classify global temperature data into ...

Abstract: The increasing demand for accurate energy consumption forecasting has spurred a surge of interest in leveraging advanced machine learning techniques. This project focuses on the application ...

Abstract: Forecasting stock market volatility presents significant challenges and opportunities for both practitioners and researchers in the financial sector. This paper explores the application of ...

ABSTRACT: Time series forecasting is essential for generating predictive insights across various domains, including healthcare, finance, and energy. This study focuses on forecasting patient health ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.