Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

An autonomous system that detects road potholes in real-time using computer vision (YOLO v8) and ultrasonic sensors. When a pothole is detected, an automated filling mechanism is triggered to ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

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 ...

1 Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan 2 School of Information Technology and Systems, University of ...

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 ...

I came across your pothole detection project while browsing Roboflow looks like you're actively exploring bounding boxes, thresholds, and API integration. Solid setup. I know how tedious it gets ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...