Listar LCC - Artículos por título
Mostrando ítems 183-202 de 238
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QoE Evaluation: The TRIANGLE Testbed Approach.
Díaz-Zayas, Almudena
; Panizo-Jaime, Laura; Baños, Janie; Cardenas, Carlos; Dieudonne, Michael (Willey - Hindawi, 2018-12-18)
This paper presents the TRIANGLE testbed approach to score the Quality of Experience (QoE) of mobile applications, based on measurements extracted from tests performed on an end-to-end network testbed. The TRIANGLE project ... -
Randomness and control in design processes: an empirical study with architecture students.
Belmonte-Martínez, María Victoria; Millán-Valldeperas, Eva; Ruiz-Montiel, Manuela; Badillo, Reyes; Boned-Purkiss, Francisco Javier; Mandow-Andaluz, Lorenzo; Pérez-de-la-Cruz-Molina, José Luis[et al.] (2014-02-12)
The aim of this study is to explore designers' preferences between randomness and control in the generation of architectural forms. To this end, a generative computer tool was implemented that allows both random and ... -
Realistic deployment of hybrid wireless sensor networks based on ZigBee and LoRa for search and rescue applications
Bravo-Arrabal, Juan; Zambrana-López, Pablo; Fernández-Lozano, Juan Jesús; Gómez-Ruiz, José Antonio; Serón-Barba, Javier; García-Cerezo, Alfonso José[et al.] (IEEE Access, 2022)
Search and Rescue operations in emergency response to natural or human catastrophes have the main objective of locating and rescuing potential victims as fast as possible, thus quick response and accurate actions are ... -
Recognition and normalization of multilingual symptom entities using in-domain-adapted BERT models and classification layers
Gallego Donoso, Fernando; Veredas-Navarro, Francisco Javier (2024-08-28)
Due to the scarcity of available annotations in the biomedical domain, clinical natural language processing poses a substantial challenge, espe- cially when applied to low-resource languages. This paper presents our ... -
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit.
Maza-Quiroga, Rosa; Thurnhofer-Hemsi, Karl; López-Rodríguez, Domingo; López-Rubio, Ezequiel (MDPI, 2023-12-13)
This paper investigates the distribution characteristics of Fourier, discrete cosine, and discrete sine transform coefficients in T1 MRI images. The study reveals their adherence to Benford’s law, characterized by a ... -
Reliable simulation-optimization of traffic lights in a real-world city.
In smart cities, when the real-time control of traffic lights is not possible, the global optimization of traffic-light programs (TLPs) requires the simulation of a traffic scenario (traffic flows across the whole city) ... -
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks
García-González, Jorge; Molina-Cabello, Miguel Ángel; Luque-Baena, Rafael Marcos; Ortiz-de-Lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel (ELSEVIER, 2021-12)
Air quality and reduction of emissions in the transport sector are determinant factors in achieving a sustainable global climate. The monitoring of emissions in traffic routes can help to improve route planning and to ... -
Robust fitting of ellipsoids with adaptive step size control
López-Rubio, Ezequiel; Thurnhofer-Hemsi, Karl; De-Cózar-Macías, Óscar; Blázquez-Parra, Elidia Beatriz; Muñoz-Pérez, José; Ladrón-de-Guevara-López, Isidro[et al.] (Springer, 2017-06)
Fitting geometric or algebraic surfaces to 3D data is a pervasive problem in many fields of science and engineering. In particular, ellipsoids are some of the most employed features in computer graphics and sensor ... -
Robust Off- and Online Separation of Intracellularly Recorded Up and Down Cortical States
Seamari, Yamina; Narváez-Bueno, José Ángel; Vico-Vela, Francisco José; Lobo Fernández, Daniel; Sánchez Vives, María Victoria (2007)
Background. The neuronal cortical network generates slow (<1 Hz) spontaneous rhythmic activity that emerges from the recurrent connectivity. This activity occurs during slow wave sleep or anesthesia and also in cortical ... -
Run-time deployment and management of CoAP resources for the Internet of Things
Martín-Fernández, Cristian; Díaz-Rodríguez, Manuel; Rubio-Muñoz, Bartolomé (Sage Journals, 2017-02)
The continuous growth of the Internet of Things in recent years has meant it is increasingly more present, as Internet of Things scenarios such as smart homes and smart cities become part of our everyday lives. The Internet ... -
SAMGRID: Security Authorization and Monitoring Module Based on SealedGRID Platform
Suciu, George; Farao, Aristeidis; Bernardinetti, Giorgio; Palamà, Ivan; Sachian, Mari-Anais; Vochin, Marius-Constantin; Muresan, Pavel; Bampatsikos, Michail; Muñoz-Gallego, Antonio Román; Xenakis, Christos[et al.] (IOAP-MPDI, 2022-08-30)
IoT devices present an ever-growing domain with multiple applicability. This technology has favored and still favors many areas by creating critical infrastructures that are as profitable as possible. This paper presents ... -
Search based algorithms for test sequence generation in functional testing
Ferrer-Urbano, Francisco Javier; Kruse, Peter M.; Chicano-García, José-Francisco; Alba-Torres, Enrique (2014-10-03)
The generation of dynamic test sequences from a formal specification, complementing traditional testing methods in order to find errors in the source code. Objective In this paper we extend one specific combinatorial ... -
Selfo: A class of self-organizing connection games
Vico-Vela, Francisco José (2007)
Selfo is defined as a class of abstract strategy board games subscribed to the category of connection games. Its name derives from the phenomenon of self-organization (i.e. the increase in a system’s organization without ... -
Semantic modelling of Earth Observation remote sensing
Aldana Martín, José Francisco; García-Nieto, José Manuel; Roldán-García, María del Mar; Aldana-Montes, José Francisco (ELSEVIER, 2022-01)
Earth Observation (EO) based on Remote Sensing (RS) is gaining importance nowadays, since it offers a well-grounded technological framework for the development of advanced applications in multiple domains, such as climate ... -
Sequencing the Southern Iberian Late Neolithic hypogeum cemetery of La Beleña through radiocarbon dating and Bayesian modeling.
Santana-Cabrera, Jonathan; Caro-Herrero, José Luis; Camalich-Massieu, Maria Dolores; Aranda-Jimenez, Gonzalo; Martin-Socas, Dimas (Cambridge University Press, 2024)
This study aims to determine the chronological sequence of the collective burials in the hypogea of the prehistoric cemetery ofLa Bele˜na (Cabra, C´ordoba) through Bayesian analyses of 14C dates obtained from human remains. ... -
SERA: Sistema para la Evaluación y Retroalimentación Automática de Prácticas
Agudo-Ruiz, Isaac; Ríos-del-Pozo, Rubén; Nieto, Ana (2020-06-10)
En este artículo presentamos una sistema modular y altamente configurable que permite no sólo la generación y evaluación automática de prácticas de laboratorio sino también proporcionar una retroalimentación instantánea ... -
Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting
Thurnhofer Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Elizondo Acuña, David Alberto (2021)
Skin lesions are caused due to multiple factors, like allergies, infections, exposition to the sun, etc. These skin diseases have become a challenge in medical diagnosis due to visual similarities, where image classification ... -
Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation.
García Aguilar, Iván; Luque-Baena, Rafael Marcos; Domínguez-Merino, Enrique; López-Rubio, Ezequiel (MDPI, 2023-08-15)
Anomaly detection in sequences is a complex problem in security and surveillance. With the exponential growth of surveillance cameras in urban roads, automating them to analyze the data and automatically identify anomalous ... -
Smart motion detection sensor based on video processing using self-organizing maps
Ortega-Zamorano, Francisco; Molina-Cabello, Miguel Ángel; López-Rubio, Ezequiel; Palomo-Ferrer, Esteban José (Elsevier, 2016)
Most current approaches to computer vision are based on expensive, high performance hardware to meet the heavy computational requirements of the employed algorithms. These system architectures are severely limited in their ...