Abstract: In this paper, we describe a simulation-based framework for detecting potholes using radar in addition to assessing optimal routes over roads of varying surface materials using machine ...

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 aims to detect and classify types of chest cancer using CT-scan images. It uses a combination of traditional machine learning methods and deep learning approaches to achieve high accuracy ...

Abstract: The “Pothole Alert and Detection” system integrates with live Google Maps, offering real-time pothole detection. When a pothole is detected, it sends email reports for prompt maintenance, ...

An intelligent Pothole Detection system using YOLOv4 Tiny, capable of identifying and categorizing potholes in real-time video streams. The severity level of each pothole (Low, Medium, High) is ...

Machine learning (ML) represents a rapidly evolving field that enables computational systems to learn from data and improve their performance without explicit, hand-crafted programming. At its core, ...

Machine learning (ML) is a subset of artificial intelligence that focuses on the development of algorithms that allow computers to learn from and make predictions based on data. Recent advancements in ...

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In a recent review published in the Life Journal, a group of authors reviewed image-processing techniques in machine learning (ML) for skin cancer detection using clinical images, evaluating their ...

The Korea Institute of Civil Engineering and Building Technology (KICT, President Kim Byung-Suk) has developed a 'Road Pothole Filtering Program' to establish an emergency road restoration system for ...