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Mostrando publicaciones 1-8 de 8
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A-Survey: identification and classification of fingerprints via the extreme learning machine algorithm
Zabala-Blanco, David; Martínez-Pereira, Diego; Flores-Calero, Marco; Datta, Jayanta; Dehghan Firoozabadi, Ali (2023)The fingerprint comes to be the most popular and utilized biometric for identifying persons owing to its bio-invariant characteristic, precision, as well as easy acquisition. A sub-system of an identification system is the ...
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Automatic recognition system for traffic signs in Ecuador based on faster R-CNN with ZFNet
Zabala-Blanco, David; Aldás, Milton; Román, Wilson; Gallegos, Joselyn; Flores-Calero, Marco (2022)This research presents an application of the Deep Learning technology in the development of an automatic system detection of traffic signs of Ecuador. The development of this work has been divided into two parts, i) in ...
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Extreme learning machines for detecting the water quality for human consumption
Barría Valdebenito, Pedro; Zabala-Blanco, David; Ahumada-García, Roberto; Soto, Ismael; Dehghan Firoozabadi, Ali; Flores-Calero, Marco (2023)Determining the potability of water for consumption is crucial for human health. To assess the water quality, levels of minerals and ions are measured, such as pH, hardness, sodium, chloramines, sulfate, conductivity, ...
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Fingerprint classification with the extreme learning machine algorithm for multilayer perceptron
Zabala-Blanco, David; Quinteros, Axel; Mora, Marco ; Hernández-García, Ruber; Flores-Calero, Marco (2022)Fingerprint classification comes to be a relevant guarantee for efficient as well as accurate fingerprint identification, in particular in the case of dealing with one-to-many fingerprint identification. Nevertheless, owing ...
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Multiclasificación de arritmias cardíacas usando unared neuronal y la tarjeta MyRio-1900
Flores-Calero, Marco; Leppe, Bruno; Pilla, Melisa; Gualsaquí, Marco; Zabala-Blanco, David; Albuja, Alberto (2021)Las enfermedades cardiovasculares (ECV) y en particular las arritmias cardíacas, se han convertidoen una de las principales causas de muerte en el mundo, sin importar el nivel de desarrollo de los países. Ladetección de ...
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Review of extreme learning machines for the identification and classification of fingerprint databases
Martínez, Diego; Zabala-Blanco, David; Ahumada García, Roberto; Azurdia-Meza, Cesar A.; Flores-Calero, Marco; Palacios-Jativa, Pablo (2022)The fingerprint is one of the most popular and used biometric traits for the identification of people, due to its bio-invariant characteristic, precision, and easy acquisition. One of the stages in the identification of ...
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Traffic sign detection and recognition using YOLO object detection algorithm: A systematic review
Flores-Calero, Marco; Astudillo, César A.; Guevara, Diego; Maza, Jessica; Lita, Bryan S.; Defaz, Bryan; Ante, Juan S.; Zabala-Blanco, David; Armingol, José María (2024)Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with real-time object detection capabilities. This state-of-the-art technology is widely available, mainly due to its speed and precision. ...
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Web-based personal access control system using facial recognition with deep learning techniques
Coronel, Franklin; Barreno, Norma; Muñoz, Paúl; Zabala-Blanco, David; Onofa, Noemí; Flores-Calero, Marco (2022)This paper presents a web application to control personnel access to a work area without contact; this makes it ideal to help combat the Covid-19 health emergency. For its implementation, deep learning and computer vision ...