CLEVELAND — A pilot project in Ohio could change the way transportation officials detect potholes and other roadway hazards by using technology already built into certain vehicles. Automaker Honda ...

An intelligent, AI-powered system for real-time pothole detection using YOLOv4-Tiny, capable of identifying and categorizing road damages based on severity. The system processes live video feeds, ...

This project is an AI-based system designed to detect potholes and road surface defects using a deep learning model and geo-tag their locations using GPS data. A trained YOLOv8 object detection model ...

Abstract: Road safety is a serious issue, and the early detection of road hazards like potholes and speed breakers are crucial in minimizing accidents and reducing vehicle damage. This paper presents ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

For over 5 years, Arthur has been professionally covering video games, writing guides and walkthroughs. His passion for video games began at age 10 in 2010 when he first played Gothic, an immersive ...

Abstract: One major cause of vehicle damage, traffic disruption and accidents are road degradation through potholes. Traditionally, detecting and repairing potholes is very labor intensive and ...

Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...

ABSTRACT: Rainfall-induced landslides threaten mountainous regions globally, yet existing models face challenges in real-time, large-scale prediction due to dependency on post-event data. This study ...