AI accelerates elucidation of nuclear forces with explosive neutron star data

A research team is using astrophysical explosions to understand the mysterious forces at work in some of the smallest ...
IEEE

Aligning STEM Education with Engineering Curricula: A Competency Mapping Framework in the Philippines Using Exploratory Factor Analysis

Abstract: Pre-engineering education serves as a critical foundation for cultivating the next generation of engineers. In the Philippines, however, a pronounced gap exists between the technical ...
GitHub

pyforeca: Forecastable Component Analysis (ForeCA) in Python

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...
marktechpost

How to Build an Advanced, Interactive Exploratory Data Analysis Workflow Using PyGWalker and Feature-Engineered Data

In this tutorial, we demonstrate how to move beyond static, code-heavy charts and build a genuinely interactive exploratory data analysis workflow directly using PyGWalker. We start by preparing the ...
IEEE

Rainfall Prediction Using Exploratory Data Analysis and Machine Learning

Abstract: Forecasting rainfall is essential for managing water resources, agriculture, and preventing disasters. In this study, we suggest a machine learning-based rainfall prediction system that ...