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: Cracks are critical defects in concrete structures, traditionally identified through human inspection. However, computer vision techniques, especially convolutional neural networks (CNNs), ...
Abstract: Crack detection is essential for maintaining the safety and durability of infrastructure like bridges and buildings. Traditional methods, relying on manual inspections and basic photographic ...
Abstract: In this study, a convolutional neural network (CNN)-based automatic detection algorithm for bridge crack images was proposed, aiming to improve the accuracy and efficiency of bridge ...
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Abstract: Trains, in the modern world, have an increasing number of passengers besides having heavier axle loads because of increased speeds. All these combinations have put a great deal of strain on ...
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 ...
A high-performance attendance system using Next.js with and ML-server using Flask, RetinaFace for face detection and ArcFace for recognition, achieving 95%+ accuracy. Deployed on Azure with Prometheus ...
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.
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