Browsing Comunicaciones y ponencias de congresos - Biltzarrak eta Argitalpenak by Issue Date
Now showing items 1-20 of 482
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Learning channel-wise ordered aggregations in deep neural networks
Domínguez Catena, Iris
; Paternain Dallo, Daniel ; Galar Idoate, Mikel (Springer, 2021)
Contribución a congreso / Biltzarrerako ekarpena
One of the most common techniques for approaching image classification problems are Deep Neural Networks. These systems are capable of classifying images with different levels of detail at different levels of detail, with ... -
La economía circular en el derecho ambiental
Alenza García, José Francisco (Centro Internacional de Estudios de Derecho Ambiental (CIEDA), 2020)
Contribución a congreso / Biltzarrerako ekarpena 
El trabajo parte de la consagración de la idea de 'economía circular' en el Plan de Acción de la UE de 2015 para mostrar su rápida y amplia incorporación a la normativa ambiental, especialmente, en materia de residuos. En ... -
A gap waveguide fed circular polarization antennas in the millimeter wave range
Pérez, Dayan ; Torres García, Alicia E. ; Ederra Urzainqui, Íñigo ; Beruete Díaz, Miguel (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
In this work, a novel circular polarization (CP) antennas in ridge gap waveguide (RGW) working in the V-band of the millimeter-wave spectrum is presented. CP is generated in a simple and effective way by means of two ... -
Enhancing the efficiency of the interval-valued fuzzy rule-based classifier with tuning and rule selection
Sanz Delgado, José Antonio ; Asmus, Tiago ; Osa Hernández, Borja de la ; Bustince Sola, Humberto (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
Interval-Valued fuzzy rule-based classifier with TUning and Rule Selection, IVTURS, is a state-of-the-art fuzzy classifier. One of the key point of this method is the usage of interval-valued restricted equivalence functions ... -
Quizlet and podcasts: effects on vocabulary acquisition
Bueno-Alastuey, María Camino ; Nemeth, Katalin (Routledge, 2020)
Artículo / Artikulua
To date, several studies have investigated the potential benefits of using Quizlet and podcasts for vocabulary development. However, they have mainly focused on the use of available material, and its effects on receptive ... -
Gaze estimation problem tackled through synthetic images
Garde Lecumberri, Gonzalo; Larumbe Bergera, Andoni ; Bossavit, Benoît ; Cabeza Laguna, Rafael ; Porta Cuéllar, Sonia ; Villanueva Larre, Arantxa (Association for Computing Machinery (ACM), 2020)
Contribución a congreso / Biltzarrerako ekarpena
In this paper, we evaluate a synthetic framework to be used in the field of gaze estimation employing deep learning techniques. The lack of sufficient annotated data could be overcome by the utilization of a synthetic ... -
Synthetic wind speed generation for the simulation of realistic diurnal cycles
D’Ambrosio, D.; Schoukens, Johan; Troyer, T. De; Zivanovic, Miroslav ; Runacres, Mark (IOP Publishing, 2020)
Contribución a congreso / Biltzarrerako ekarpena
Synthetic wind-speed generators can provide a detailed characterisation of the wind variability at different time scales. A keen interest in the availability of synthetic wind speeds has recently risen in wind power modelling ... -
Optimal strain gauge configurations for the estimation of mechanical loads in the main shaft of HAWT
(IOP Publishing, 2020) Contribución a congreso / Biltzarrerako ekarpena
In Structural Health Monitoring of wind turbines, measuring the mechanical loads is a key issue. The customary techniques for this task use a full-bridge strain gauge configuration to measure each of the six load components ... -
General grouping functions
Santos, Helida; Pereira Dimuro, Graçaliz ; Asmus, Tiago ; Sanz Delgado, José Antonio ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a ... -
Dissimilarity based choquet integrals
Bustince Sola, Humberto ; Mesiar, Radko; Fernández Fernández, Francisco Javier ; Galar Idoate, Mikel ; Paternain Dallo, Daniel (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
In this paper, in order to generalize the Choquet integral, we replace the difference between inputs in its definition by a restricted dissimilarity function and refer to the obtained function as d-Choquet integral. For ... -
Sources of linear and non-linear synchrony between brain and muscles: linear and non-linear CMC sources
Vidaurre, Carmen ; Gómez Fernández, Marisol ; Nolte, Guido; Villringer, Arno; Carlowitz Ghori, Katherina von; Nikulin, Vadim V. (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
This manuscript shows that it is possible to find distinct sources of brain activity, at similar frequencies, arising from linear and non-linear interactions of the brain with the muscular system. Those sources were obtained ... -
Comparison of digital terrain models obtained with LiDAR and photogrammetry
Martínez de Aguirre Escobar, Alejandro ; García Morales, Víctor; Álvarez-Mozos, Jesús (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
Airborne LiDAR sensors capture three-dimensional information of the Earth, useful for obtaining high accuracy Digital Terrain Models (DTM). The Spanish National Plan for Aerial Orthophotography (PNOA) is an initiative of ... -
Automatic detection of high-voltage power lines in LiDAR surveys using data mining techniques
Chasco Hernández, Daniel; Sanz Delgado, José Antonio ; García Morales, Víctor; Álvarez-Mozos, Jesús (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
The correct classification of power lines in LiDAR point clouds has attracted the interest of the mapping community in the last years. The objective of this research is the detection and automatic extraction of high-voltage ... -
A biased-randomized learnheuristic for solving the team orienteering problem with dynamic rewards
Reyes-Rubiano, Lorena Silvana; Juan, Ángel Alejandro; Bayliss, C.; Panadero, Javier; Faulín Fajardo, Javier ; Copado, P. (Elsevier, 2020)
Contribución a congreso / Biltzarrerako ekarpena
In this paper we discuss the team orienteering problem (TOP) with dynamic inputs. In the static version of the TOP, a fixed reward is obtained after visiting each node. Hence, given a limited fleet of vehicles and a threshold ... -
Learning super-resolution for Sentinel-2 images with real ground truth data from a reference satellite
Galar Idoate, Mikel ; Sesma Redín, Rubén; Ayala Lauroba, Christian; Albizua, Lourdes; Aranda, C. (Copernicus, 2020)
Contribución a congreso / Biltzarrerako ekarpena
Copernicus program via its Sentinel missions is making earth observation more accessible and affordable for everybody. Sentinel-2 images provide multi-spectral information every 5 days for each location. However, the maximum ... -
A strategic multistage tactical two-stage stochastic optimization model for the airline fleet management problem
Serrano Hernández, Adrián ; Cadarso, Luis; Faulín Fajardo, Javier (Elsevier, 2020)
Contribución a congreso / Biltzarrerako ekarpena
This work proposes stochastic optimization for the airline fleet management problem, considering uncertainty in the demand, operational costs, and fares. In particular, a multistage tree is proposed, compounded of strategic ... -
Overcome the limitations of performance parameters of on-chip antennas based on metasurface and coupled feeding approaches for applications in system-on-chip for THz integrated-circuits
Alibakhshikenari, Mohammad; Virdee, Bal S.; See, Chan H.; Abd-Alhameed, Raed; Falcone Lanas, Francisco Javier ; Limiti, Ernesto (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
This paper proposes a new solution to improve the performance parameters of on-chip antenna designs on standard CMOS silicon (Si.) technology. The proposed method is based on applying the metasurface technique and exciting ... -
Automated reconfigurable antenna impedance for optimum power transfer
Alibakhshikenari, Mohammad; Virdee, Bal S.; See, Chan H.; Abd-Alhameed, Raed; Falcone Lanas, Francisco Javier ; Limiti, Ernesto (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
This paper presents an approach to implement an automatically tuning antenna for optimising power transfer suitable for software defined radio (SDR). Automatic tuning is accomplished using a closed loop impedance tuning ... -
CMOS low-voltage indirect current feedback instrumentation amplifiers with improved performance
Carrillo, Juan M.; Domínguez, Miguel A.; Pérez Aloe, Raquel; Duque Carrillo, J. Francisco; Cruz Blas, Carlos Aristóteles de la (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
Indirect current feedback (ICF) is a very common operation principle used in the design of CMOS instrumentation amplifiers (IA). The input and output transconductors required in an ICF IA usually consist on resistive-degenerated ... -
Low power CMOS chopper preamplifier based on source-degeneration transconductors
Cinco Izquierdo, O. J.; Sanz Pascual, M. T.; Cruz Blas, Carlos Aristóteles de la ; Calvo López, B. (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
This paper describes the design of a low-power, low-noise flicker CMOS chopper preamplifier for sensor signal conditioning. The core amplifier and the Gm-C output low pass filter of the proposed fully differential preamplifier ...
