I developed a geospatial machine-learning workflow to identify oil and gas wells that may be orphaned, using well records collected across the United States. The purpose was to help researchers ...

Predictive maintenance using Python and machine learning to analyse machine sensor data and predict failures. - Vahid-8185/predictive-maintenance-analysis ...

This release provides the BREST-AI 16-bit, four-view model developed at the University of Warwick with NHS and academic collaborators. It estimates an examination-level three-year risk score from a ...

Have you been running out of AI usage limits lately?ChatGPT, Claude, and AI agents.It's great that they've become so ...

The copy-paste hell of earnings reports and the 'shortcomings' of Rakuten SecuritiesAs I enter my 7th year of investing, here ...

These Australian climate classification maps and data are based on vegetation types, rainfall, and temperature and humidity. Select years, to see changes since 1951. Temperature and humidity maps are ...