Abstract: Flight delay is a fundamental problem present in the global aviation system. Delay-inducing disruptions are caused by various reasons, including increased global connectivity / dependency, ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Abstract: The increasing utilization of Ni-based superalloys in aerospace and power generation industries presents significant machining challenges due to their unique properties. This study ...

The patent filing covers a machine learning-based demand platform optimisation system designed to improve ad delivery ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

An update to the markets of Jonathan David has led experts to update predictions and odds for the Canada-Morocco Round of 16 match on Saturday, July 4, 2026.

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Stock Market Prediction using Tkinter is a Python-based desktop application that predicts stock prices using a Linear Regression model. The project features a user-friendly Tkinter GUI for entering ...