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 ...

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 ...

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 ...

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...

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 ...

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...

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 ...

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 ...