Listar Arquitectura de Computadores - (AC) por título
Mostrando ítems 120-139 de 205
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Memoria Transaccional Software en Procesadores CPU+GPU Heterogéneos
González-Navarro, María Ángeles
; Asenjo-Plaza, Rafael; Plata-González, Óscar Guillermo; Villegas Fernández, Alejandro (2018-09-19)
En los procesadores multi-núcleo, la memoria transaccional (TM) ha aparecido como una alternativa prometedora a las técnicas basadas en cerrojos para garantizar exclusión mutua y está siendo incluida como parte de procesadores ... -
MgO-containing porous carbon spheres derived from magnesium lignosulfonate as sustainable basic catalysts
García-Rollán, Miguel; García-Mateos, Francisco José; Ruiz-Rosas, Ramiro Rafael; Rosas-Martínez, Juana María; Rodríguez-Mirasol, José; Cordero-Alcántara, Tomás[et al.] (Elsevier, 2022-11-26)
The presence of alkalis in lignosulfonate allows an easy preparation of sustainable MgO-containing carbon catalysts with surface basicity by carbonization of magnesium lignosulfonate and/or further partial gasification of ... -
miRNA as biomarker in lung cancer
Salcedo Lobera, Esperanza; Arroyo Varela, Macarena; Larrosa-Jiménez, Rafael; Bautista-Moreno, Rocío (Springer Nature, 2023-08-29)
Lung cancer has a high prevalence and mortality due to its late diagnosis and limited treatment, so it is essential to find biomarkers that allow a faster diagnosis and improve the survival of these patients. In this sense, ... -
Modelling vessel fleet composition for maintenance operations at offshore wind farms
Gutiérrez-Alcoba, Alejandro; García-Fernández, Inmaculada; Ortega López, Gloria; Hendrix, Eligius María Theodorus (2018-12-20)
Chartering a vessel fleet to support maintenance operations at offshore wind farms (OWF's) constitutes one of the major costs of maintaining this type of installations. Literature describes deterministic optimization models ... -
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison
Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; Pérez de la Blanca, Nicolás (Springer London, 2020)
This paper focuses on identifying people based on their gait using a non-invasive approach. Traditional methods rely on gait signatures derived from binary energy maps, which introduce noise. Instead, the authors explore ... -
Multimodal features fusion for gait, gender and shoes recognition
Castro Payán, Francisco Manuel; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás (Springer, 2016)
This paper evaluates how fusing multimodal features (audio, RGB, and depth) can enhance the task of gait recognition, as well as gender and shoe recognition. While most previous research has focused on visual descriptors ... -
Multimodal Human Pose Feature Fusion for Gait Recognition.
Cubero, Nicolás; Castro Payán, Francisco Manuel; Ramos-Cózar, Julián; Guil-Mata, Nicolás; Marín Jiménez, Manuel Jesús (2023)
Gait recognition allows identifying people at a distance based on the way they walk (i.e. gait) in a non-invasive approach. Most of the approaches published in the last decades are dominated by the use of silhouettes or ... -
Multiset Signatures for Transactional Memory
Quislant-del-Barrio, Ricardo; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo; López-Zapata, Emilio (ACM, 2011)
Transactional Memory (TM) systems must record the memory locations read and written (read and write sets) by concurrent transactions in order to detect conflicts. Some TM implementations use signatures for this purpose, ... -
NATSA: A Near-Data Processing Accelerator for Time Series Analysis.
Fernández-Vega, Iván; Quislant-del-Barrio, Ricardo; Giannoula, Christina; Alser, Mohammed; Gómez-Luna, Juan; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo; Mutlu, Onur[et al.] (IEEE, 2020)
El análisis de series temporales es una técnica clave para extraer y predecir sucesos en ámbitos tan diversos como la epidemiología, la genómica, la neurociencia, las ciencias medioambientales o la economía, entre otros. ... -
New formats for computing with real-numbers under round-to-nearest
Hormigo-Aguilar, Javier; Villalba-Moreno, Julio (2015-09-17)
In this paper, a new family of formats to deal with real number for applications requiring round to nearest is proposed. They are based on shifting the set of exactly represented numbers which are used in conventional ... -
New Results on Non-normalized Floating-point Formats
González-Navarro, Sonia; Hormigo-Aguilar, Javier (IEEE Computer Society, 2019)
Compulsory normalization of the represented numbers is a key requirement of the floating-point standard. This requirement contributes to fundamental characteristics of the standard, such as taking the most of the precision ... -
Normalizing or not normalizing? An open question for floating-point arithmetic in embedded systems
González-Navarro, Sonia; Hormigo-Aguilar, Javier (IEEE, 2017-07-24)
Emerging embedded applications lack of a specific standard when they require floating-point arithmetic. In this situation they use the IEEE-754 standard or ad hoc variations of it. However, this standard was not designed ... -
Novel parallel approaches to efficiently solve spatial problems on heterogeneous CPU-GPU systems
(UMA Editorial, 2022)In recent years, approaches that seek to extract valuable information from large datasets have become particularly relevant in today's society. In this category, we can highlight those problems that comprise data analysis ... -
On an OptLearn implementation using collaborative filtering.
Fuster López, Alejandro; Guerrero-García, Pablo; Hendrix, Eligius María Theodorus; Martínez-Cruz, Jesús; Nowak, Ivo (2023)
The aim of the iMath project is to develop a recommender system where a student is recommended a next question or literature in a learning platform MathE. This paper describes the systems developed based on collaborative ... -
On computational procedures for Value Iteration in inventory control
Dynamic programming (DP) is often seen in inventory control to lead to optimal ordering policies. When considering stationary demand, Value Iteration (VI) may be used to derive the best policy. In this paper, our focus is ... -
On conceptualisation and an overview of learning path recommender systems in e-learning.
Fuster López, Alejandro; Martínez-Cruz, Jesús; Guerrero-García, Pablo; Hendrix, Eligius María Theodorus; Košir, Andrej; Nowak, Ivo; Oneto, Luca; Sirmakessis, Spiros; Pacheco, Maria Fátima; Fernandes, Florbela Pires; Pereira, Ana Isabel[et al.] (2024-06-10)
The use of e-learning systems has a long tradition, where students can study online helped by a system. In this context, the use of recommender systems is relatively new. In our research project, we investigated various ... -
On Dealing with Minima at the Border of a Simplicial Feasible Area in Simplicial Branch and Bound.
G.-Tóth, Boglárka; Hendrix, Eligius María Theodorus; Casado, Leocadio G.; Messine, Fréderic (Springer Nature, 2024-07-22)
We consider a simplicial branch and bound Global Optimization algorithm, where the search region is a simplex. Apart from using longest edge bisection, a simplicial partition set can be reduced due to monotonicity of the ... -
On decomposition and multiobjective-based column and disjunctive cut generation for MINLP.
Muts, Pavlo; Nowak, Ivo; Hendrix, Eligius María Theodorus (Springer Nature, 2020)
Most industrial optimization problems are sparse and can be formulated as block- separable mixed-integer nonlinear programming (MINLP) problems, defined by linking low-dimensional sub-problems by (linear) coupling constraints. ... -
On how to improve tracklet-based gait recognition systems
Marín-Jiménez, Manuel J.; Castro Payán, Francisco Manuel; Carmona-Poyato, Ángel; Guil-Mata, Nicolás (Elsevier, 2015-12-15)
Abstract Recently, short-term dense trajectories features (DTF) have shown state-of-the-art results in video recognition and retrieval. However, their use has not been extensively studied on the problem of gait recognition. ... -
On Optimizing Ensemble Models using Column Generation.
Aziz, Vanya; Wu, Ouyang; Nowak, Ivo; Hendrix, Eligius María Theodorus; Kronqvist, Jan (Springer Nature, 2024-02-22)
In recent years, an interest appeared in integrating various optimization algorithms in machine learning. We study the potential of ensemble learning in classification tasks and how to efficiently decompose the underlying ...