We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

When Hurricane Melissa spun up unexpectedly in the Atlantic earlier this month, traditional forecasting models were caught off guard by its rapid intensification. Yet weather models using artificial ...

Abstract: The main aim of this research study is to provide a complex machine learning framework for Multi-Objective, Multi-Product, and Multi-Period Supply Chain Optimization (M3 SCO). We used a ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

The 2025 World Series continues today with Game 2, just one day removed from the Blue Jays’ dominant 11-4 Game 1 victory over the Los Angeles Dodgers. The first pitch is slated for Saturday, October ...

Forbes contributors publish independent expert analyses and insights. Mark J. Burns is a freelance reporter covering sports business.

The RSA6000 series deeply integrates five core measurement modes, allowing one-click switching to transform into specialized analysis tools, meeting engineers' needs across various testing phases.

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...

Abstract: Accurate demand forecasting is a serious aspect of supply chain management (SCM), essential for improving inventory levels, reducing operational costs, and ensuring customer fulfilment.

Forbes contributors publish independent expert analyses and insights. I have been chasing race cars since the first Michigan 500 in 1981.