Abstract: Cracks identification on pavement surfaces is an important and prominent function in public infrastructure management and sustainability. Differing crack widths, complex geometries, and ...

Abstract: Traditional crack detection methods often struggle with low efficiency and accuracy due to manual feature extraction and computational resource limitations. To overcome these challenges, we ...

Abstract: With the urbanization process and aging of buildings, wall crack detection plays a crucial role in the maintenance and safety of building structures. Due to the inherent characteristics of ...

Abstract: Crack detection is essential for maintaining the structural integrity and safety of infrastructures such as roads and buildings. However, traditional manual inspection methods are ...

Abstract: Unmanned Aerial Vehicle (UAV)-assisted road crack detection is a key technology in modern road maintenance, which can effectively reduce the labor costs and improve the recognition ...

This repository contains the web interface developed in React to test a multilayer perceptron (MLP) artificial neural network (ANN) designed to recognize Greek letters drawn by users.

Lumen – Asistente IA Empático y Multimodal (rostro y voz) en tiempo real. Potenciado por Llama 3.1 (Groq), Deepgram y Edge-TTS. A high-performance attendance system using Next.js with and ML-server ...

Abstract: As urbanization progresses, building surfaces increasingly suffer from degradation and structural damage due to prolonged environmental stress, raising significant safety concerns.

Abstract: Cracks on road surfaces pose serious risks to both pedestrians and drivers. Traditional manual crack detection methods are not only slow but also pose safety risks. Automating this process ...

OpenCV is a set of libs written in C++ and the compiled into platform-native lib format: *.dll - for Windows, or *.dylib - for Linux / Mac OS. They can be accessed from Java via Java wrapper included ...