Por motivos de mantenimiento se ha deshabilitado el inicio de sesión temporalmente. Rogamos disculpen las molestias.
Perfil del autor: Luna Perejón, Francisco
Datos institucionales
Nombre | Luna Perejón, Francisco |
Departamento | Arquitectura y Tecnología de Computadores |
Área de conocimiento | Arquitectura y Tecnología de Computadores |
Categoría profesional | Profesor Ayudante Doctor |
Correo electrónico | Solicitar |
Estadísticas
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Nº publicaciones
48
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Nº visitas
6993
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Nº descargas
9272
Publicaciones |
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Capítulo de Libro
A comprehensive Bird ecosystem monitorization and analysis tool from sound recognition using Machine Learning
(Springer, 2024)
This project aims to develop a system for bird identification based on their songs, targeting ecosystem researchers, ... |
Capítulo de Libro
Design, Implementation and Testing of Wearable System and Application for Sleep Study
(Springer, 2024)
Sleep-related problems are currently an important field of study. Regular sleep drastically reduces mental illness. In ... |
Capítulo de Libro
Detection of gait-related activities from accelerometer signals obtained from the ankle
(Springer, 2024)
Accurate activity monitoring systems are essential to differentiate between everyday activities and events that could ... |
Artículo
Diagnosis Aid System for Colorectal Cancer Using Low Computational Cost Deep Learning Architectures
(MDPI, 2024)
Colorectal cancer is the second leading cause of cancer-related deaths worldwide. To prevent deaths, regular screenings ... |
Artículo
Classification of skin blemishes with cell phone images using deep learning techniques
(Elsevier, 2024)
Skin blemishes can be caused by multiple events or diseases and, in some cases, it is difficult to distinguish where they ... |
Artículo
A lightweight xAI approach to cervical cancer classification
(Springer, 2024)
Cervical cancer is caused in the vast majority of cases by the human papilloma virus (HPV) through sexual contact and ... |
Artículo
A Robust Ensemble of Convolutional Neural Networks for the Detection of Monkeypox Disease from Skin Images
(MDPI, 2023)
Monkeypox is a smallpox-like disease that was declared a global health emergency in July 2022. Because of this resemblance, ... |
Trabajo Fin de Grado
Dispositivo empotrado para traducción de lenguaje de signos usando técnicas ML/DL
(2023)
En este trabajo de fin de grado se va a explicar el desarrollo de un sistema de reconocimiento del lenguaje de signos ... |
Artículo
Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies
(MDPI, 2023)
The use of wearable devices has increased substantially in recent years. This, together with the rise of telemedicine, has ... |
Artículo
Smart Shoe Insole Based on Polydimethylsiloxane Composite Capacitive Sensors
(MDPI, 2023)
Nowadays, the study of the gait by analyzing the distribution of plantar pressure is a well-established technique. The use ... |
Capítulo de Libro
Perspective Chapter: Internet of Things in Healthcare: New Trends, Challenges and Hurdles
(IntechOpen, 2022)
Applied to health field, Internet of Things (IoT) systems provides continuous and ubiquitous monitoring and assistance, ... |
Capítulo de Libro
Herramienta de visualización, análisis y conversión de datasets analógicos a imágenes para su posterior procesado por Deep Learning
(3ciencias, 2022)
Las herramientas de aprendizaje automático se desarrollaron inicialmente para clasificar información visual y detectar ... |
Capítulo de Libro
Sistema integral de ayuda a la conducción mediante procesamiento con redes neuronales convolucionales
(3ciencias, 2022)
Los sistemas de ayuda a la conducción han experimentado un gran auge en los últimos años, convirtiéndose en un punto ... |
Capítulo de Libro
Diseño y desarrollo de sistema IoT para el control y monitorización de personas
(3ciencias, 2022)
Las TIC han avanzado sirviendo de apoyo a diferentes servicios, sin ser la salud una excepción. La telemedicina soluciona ... |
Capítulo de Libro
Clasificación de posturas mediante uso de redes neuronales y dispositivo IOT
(3ciencias, 2022)
El tiempo que la población pasa sentada ha aumentado en las últimas décadas debido al incremento del uso del ordenador ... |
Artículo
On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems
(Elsevier, 2022)
Falls are current events that can lead to severe injuries and even accidental deaths among the population, especially the ... |
Artículo
IoT garment for remote elderly care network
(Elsevier, 2021)
The elderly is a continuous growth sector thanks to the life expectancy increase in Western society. This sector is ... |
Artículo
AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks
(MDPI, 2021)
Falls are one of the leading causes of permanent injury and/or disability among the elderly. When these people live alone, ... |
Artículo
A study on the use of Edge TPUs for eye fundus image segmentation
(Elsevier, 2021)
Medical image segmentation can be implemented using Deep Learning methods with fast and efficient segmentation networks. ... |
Artículo
Does Two-Class Training Extract Real Features? A COVID-19 Case Study
(MDPI, 2021)
Diagnosis aid systems that use image analysis are currently very useful due to the large workload of health professionals ... |
Capítulo de Libro
ResNet
(Springer, 2021)
In this chapter, all groups have used Residual Network (ResNet) (He et al. 2016) as part of different architectures with ... |
Artículo
IoT Device for Sitting Posture Classification Using Artificial Neural Networks
(MDPI, 2021)
Nowadays, the percentage of time that the population spends sitting has increased substantially due to the use of computers ... |
Tesis Doctoral
Estudio e integración en sistemas empotrados de algoritmos de Aprendizaje Supervisado basados en Redes Neuronales Artificiales para el análisis de perturbaciones y eventos asociados a la marcha
(2020)
En este trabajo se contribuye al avance en el análisis de aspectos asociados a la marcha para la identificación de anomalías ... |
Artículo
Affective State Assistant for Helping Users with Cognition Disabilities Using Neural Networks
(MDPI, 2020)
Non-verbal communication is essential in the communication process. This means that its lack can cause misinterpretations ... |
Ponencia
Incremental Learning For Fundus Image Segmentation
(IARIA XPS Press, 2020)
Automated Fundus image segmentation is tradition-ally done in the image acquisition instrument and, thus, in thiscase it ... |
Ponencia
EMG-Controlled Robotic Prosthetic Arm With Neural Network Training
(IARIA XPS Press, 2020)
The project consists of the creation of a roboticarm controlled remotely through a brace developed by ThalmicLabs, able ... |
Ponencia
Lower-Limb Falling Detection System Using Gated Recurrent Neural Networks
(IARIA XPS Press, 2020)
Accidental falls are one of the most common causes of premature disability and mortality related to unnatural causes. This ... |
Artículo
Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images
(MDPI, 2020)
The spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic. The most common tests to identify ... |
Artículo
Low-Power Embedded System for Gait Classification Using Neural Networks
(MDPI, 2020)
Abnormal foot postures can be measured during the march by plantar pressures in both dynamic and static conditions. These ... |
Ponencia
Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI
(ScitePress Digital Library, 2019)
Glioma is a type of brain tumor that causes mortality in many cases. Early diagnosis is an important factor. Typically, ... |
Artículo
TPU Cloud-Based Generalized U-Net for Eye Fundus Image Segmentation
(IEEE Computer Society, 2019)
Medical images from different clinics are acquired with different instruments and settings. To perform segmentation on ... |
Ponencia
Polyp Detection in Gastrointestinal Images using Faster Regional Convolutional Neural Network
(ScitePress Digital Library, 2019)
Colorectal cancer is the third most frequently diagnosed malignancy in the world. To prevent this disease, polyps, the ... |
Ponencia
An Automated Fall Detection System Using Recurrent Neural Networks
(Springer, 2019)
Falls are the most common cause of fatal injuries in elderly people, causing even death if there is no immediate assistance. ... |
Ponencia
Localización e identificación automática de pólipos mediante una red neuronal convolucional por regiones
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
Este trabajo expone la metodología llevada a cabo para la aplicación de un modelo Deep Learning con el fin de detectar ... |
Ponencia
Clasificación de tumores en cáncer de mama basado en redes neuronales de convolución
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
El cáncer de mama es una de las causas más frecuentes de mortalidad en las mujeres. Con la llegada de los sistemas ... |
Ponencia
Deep learning glaucoma diagnosis aid
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
El glaucoma es una de las principales causas de ceguera. Cambia la morfología del nervio óptico. La copa es la región ... |
Ponencia
Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices
(ScitePress Digital Library, 2019)
Falls are one of the most frequent causes of injuries in elderly people. Wearable Fall Detection Systems provided a ... |
Artículo
Wearable Fall Detector Using Recurrent Neural Networks
(MDPI, 2019)
Falls have become a relevant public health issue due to their high prevalence and negative effects in elderly people. ... |
Ponencia
Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks
(ScitePress Digital Library, 2019)
Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the ... |
Ponencia
Multi-dataset Training for Medical Image Segmentation as a Service
(ScitePress Digital Library, 2019)
Deep Learning tools are widely used for medical image segmentation. The results produced by these techniques depend to a ... |
Artículo
Smart Footwear Insole for Recognition of Foot Pronation and Supination Using Neural Networks
(MDPI, 2019)
Abnormal foot postures during gait are common sources of pain and pathologies of the lower limbs. Measurements of foot ... |
Artículo
Evaluation of user satisfaction and usability of a mobile app for smoking cessation
(Elsevier, 2019)
Background Mobile apps have a great potential to support patients in healthcare, and to encourage healthy behavioral changes ... |
Artículo
Opening the Black Box: Explaining the Process of Basing a Health Recommender System on the I-Change Behavioral Change Model
(IEEE Computer Society, 2019)
Recommender systems are gaining traction in healthcare because they can tailor recommendations based on users' feedback ... |
Ponencia
Deep learning as a tool for improving efficiency the of glial tumor diagnosis
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
La aplicación de técnicas basadas en Inteligencia Artificial como apoyo a la detección y diagnosis de cáncer mediante ... |
Artículo
Analyzing recommender systems for health promotion using a multidisciplinary taxonomy: A scoping review
(Elsevier, 2018)
Background: Recommender systems are information retrieval systems that provide users with relevant items (e.g., through ... |
Artículo
Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol
(BMC, 2018)
Background: Smoking is one of the most avoidable health risk factors, and yet the quitting success rates are low. The usage ... |
Ponencia
Sistema informático móvil para el apoyo al cese tabáquico mediante mensajes motivacionales personalizados
(3ciencias. Editorial Área de Innovación y Desarrollo,S.L., 2018)
El proyecto SmokeFreeBrain estudia la efectividad de una variedad de intervenciones con el objetivo de dejar de fumar ... |
Ponencia
Estimación de distancias mediante un sistema de estéreo-visión basado en retinas DVS
(3ciencias. Editorial Área de Innovación y Desarrollo,S.L., 2018)
La estimación de distancias es uno de los objetivos más importantes en todo sistema de visión artificial. Para poder ... |