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Mostrando ítems 293-312 de 417

    • closedAccess   Parallel Computation of 3-D Soil-Structure Interaction in Time Domain with a Coupled FEM/SBFEM Approach 

      Schauer, Marco; Román, José E.; Quintana-Orti, Enrique S.; Langer, Sabine Springer US (2012)
      This paper introduces a parallel algorithm for the scaled boundary finite element method (SBFEM). The application code is designed to run on clusters of computers, and it enables the analysis of large-scale soil-structur ...

    • openAccess   Parallelizing dense and banded linear algebra libraries using SMPSs 

      Badía Sala, Rosa María; Herrero, Josep R.; Labarta Mancho, Jesús; Pérez, Josep M.; Quintana-Orti, Enrique S.; Quintana-Ortí, Gregorio John Wiley (2009-12-25)
      The promise of future many-core processors, with hundreds of threads running concurrently, has led the developers of linear algebra libraries to rethink their design in order to extract more parallelism, further exploit ...

    • openAccess   Particle-filter-based Pose Estimation from Controlled Motion with Application to Visual Servoing 

      Hafez, Abdul; Cervera, Enric InTech (2014)
      In this paper, we present a Bayesian algorithm based on particle filters to estimate the camera pose for vision-based control. The state model is represented as a relative camera pose between the current and initial ...

    • closedAccess   Paving the way towards high-level parallel pattern interfaces for data stream processing 

      del Río Astorga, David; Dolz, Manuel F.; Fernández Muñoz, Javier; García, J. Daniel Elsevier (2018-10)
      The emergence of the Internet of Things (IoT) data stream applications has posed a number of new challenges to existing infrastructures, processing engines, and programming models. In this sense, high-level interfaces, ...

    • openAccess   Performance Model of MapReduce Iterative Applications for Hybrid Cloud Bursting 

      Clemente-Castelló, Francisco J.; Bogdan, Nicolae; Mayo, Rafael; Fernández Fernández, Juan Carlos IEEE (2018-02)
      Hybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to boost the overall capacity during peak utilization) can be a cost-effective way to deal with the increasing complexity of big data analytics, ...

    • closedAccess   Performance modeling of the sparse matrix–vector product via convolutional neural networks 

      Barreda Vayá, Maria; Dolz, Manuel F.; Castaño Álvarez, María Asunción; Alonso-Jordá, Pedro; Quintana-Orti, Enrique S. Springer (2020-02-04)
      Modeling the execution time of the sparse matrix–vector multiplication (SpMV) on a current CPU architecture is especially complex due to (i) irregular memory accesses; (ii) indirect memory referencing; and (iii) low ...

    • openAccess   Performance versus energy consumption of hyperspectral unmixing algorithms on multi-core platforms 

      Remón Gómez, Alfredo; Sánchez, Sergio; Bernabé, Sergio; Quintana-Orti, Enrique S.; Plaza, Antonio SpringerOpen (2013)
      Hyperspectral imaging is a growing area in remote sensing in which an imaging spectrometer collects hundreds of images (at different wavelength channels) for the same area on the surface of the Earth. Hyperspectral images ...

    • openAccess   Performance–energy trade‑ofs of deep learning convolution algorithms on ARM processors 

      Dolz, Manuel F.; Barrachina Mir, Sergio; Martínez, Héctor; Castelló, Adrián; Maciá, Antonio; Fabregat Llueca, German; Tomás, Andrés E. Springer (2023)
      In this work, we assess the performance and energy efciency of high-performance codes for the convolution operator, based on the direct, explicit/implicit lowering and Winograd algorithms used for deep learning (DL) ...

    • openAccess   Pose Estimation Through Cue Integration: A Neuroscience-Inspired Approach 

      Chinellato, Eris; Grzyb, Beata J.; del Pobil, Angel P. IEEE (2012)
      Primates possess a superior ability in dealing with objects in their environment. One of the keys for achieving such ability is the continuous concurrent use of multiple cues, especially of visual nature. This work is aimed ...

    • openAccess   Practical considerations for acoustic source localization in the IoT era: Platforms, energy efficiency, and performance 

      BELLOCH, JOSE A.; Badía, José; Igual, Francisco; Cobos, Maximo IEEE (2019-06)
      The rapid development of the Internet of Things (IoT) has posed important changes in the way emerging acoustic signal processing applications are conceived. While traditional acoustic processing applications have been ...

    • openAccess   Predicting grasp success in the real world - A study of quality metrics and human assessment 

      Rubert, Carlos; Kappler, Daniel; Bohg, Jeannette; Morales, Antonio Elsevier (2019)
      Grasp quality metrics aim at quantifying different aspects of a grasp configuration between a specific robot hand and object. They produce a numerical value that allows to rank grasp configurations and optimize based on ...

    • openAccess   Predicting the internal model of a robotic system from its morphology 

      Durán Bosch, Angel Juan; del Pobil, Angel P. Elsevier (2018)
      The estimation of the internal model of a robotic system results from the interaction of its morphology, sensors and actuators, with a particular environment. Model learning techniques, based on supervised machine learning, ...

    • closedAccess   Preface Special issue CogKnow 

      Museros, Lledó; Pujol, Oriol; Agell, Núria Elsevier (2015)

    • openAccess   Preliminary Work on a Virtual Reality Interface for the Guidance of Underwater Robots 

      de la Cruz Soler, Marcos; Casañ, Gustavo Adolfo; Sanz, Pedro J; Marin, Raul MDPI (2020)
      The need for intervention in underwater environments has increased in recent years but there is still a long way to go before AUVs (Autonomous Underwater Vehicleswill be able to cope with really challenging missions. ...

    • openAccess   Process mining for healthcare: Characteristics and challenges 

      Munoz-Gama, Jorge; Martin, Niels; Fernandez-Llatas, Carlos; Johnson, Owen Ashby; Sepúlveda, Marcos; Helm, Emmanuel; Galvez, Victor; Rojas, Eric; Martinez-Millana, Antonio; ALOINI, DAVIDE; Amantea, Ilaria; Andrews, Robert; Arias, Michael; Beerepoot, Iris; Benevento, Elisabetta; Burattin, Andrea; Capurro, Daniel; Carmona, Josep; Comuzzi, Marco; Dalmas, Benjamin; de la Fuente, Renede; Di Francescomarino, Chiara; Di Ciccio, Claudio; GATTA, Roberto; Ghidini, Chiara; González López, María Fernanda; Ibanez-Sanchez, Gema; Klasky, Hilda; Kurniati, Angelina Prima; Lu, Xixi; Mannhardt, Felix; Mans, Ronny; Marcos, Mar; Medeiros de Carvalho, Renata; Pegoraro, Marco; Poon, Simon K.; Pufahl, Luise; Reijers, Hajo; Remy, Simon; Rinderle-Ma, Stefanie; SACCHI, LUCIA; Seoane Martinez, Fernando; Song, Minseok; Stefanini, Alessandro; Sulis, Emilio; ter Hofstede, Arthur H.M.; Toussaint, Pieter J.; Traver, Vicente; Valero-Ramon, Zoe; van de Weerd, Inge; van der Aalst, Wil; Vanwersch, Rob; Weske, Mathias; Wynn, Moe; Zerbato, Francesca Elsevier (2022-02-09)
      Process mining techniques can be used to analyse business processes using the data logged during their execution. These techniques are leveraged in a wide range of domains, including healthcare, where it focuses mainly on ...

    • openAccess   Process Model Metrics for Quality Assessment of Computer-Interpretable Guidelines in PROform 

      Torres-Sospedra, Joaquín; Martínez-Salvador, Begoña; Campos Sancho, Cristina; Marcos, Mar MDPI (2021-03-25)
      Background: Clinical Practice Guidelines (CPGs) include recommendations to optimize patient care and thus have the potential to improve the quality and outcomes of healthcare. To achieve this, CPG recommendations are usually ...

    • openAccess   Programming matrix algorithms-by-blocks for thread-level parallelism 

      Quintana-Ortí, Gregorio; Quintana-Orti, Enrique S.; Van de Geijn, Robert A.; Van Zee, Field G.; Chan, Ernie Association for Computing Machinery (2009-07)
      With the emergence of thread-level parallelism as the primary means for continued improvement of performance, the programmability issue has reemerged as an obstacle to the use of architectural advances. We argue that ...

    • openAccess   Programming parallel dense matrix factorizations with look-ahead and OpenMP 

      Catalán, Sandra; Castelló, Adrián; Igual, Francisco; Rodríguez Sánchez, Rafael; Quintana-Orti, Enrique S. Springer (2019)
      We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using OpenMP, that departs from the legacy (or conventional) solution, which simply extracts concurrency from a multi-threaded ...

    • openAccess   Prototipo físico-manipulativo: Material Didáctico de Apoyo a la Enseñanza y el Aprendizaje de la Geometría Analítica en el Espacio 

      Arroyo San José, Iván; Mestre Miravet, Jose Ignacio; Ruiz Torres, Raúl; Usó Abella, Nadia Sociedad Canaria de Profesorado de Matemáticas Luis Balbuena Castellano (2023)
      El presente trabajo se centra en la creación de material manipulativo de apoyo a la enseñanza y el aprendizaje de la geometría analítica en el espacio como respuesta a una problemática concreta que es una constante en ...

    • openAccess   PyDTNN: A user-friendly and extensible framework for distributed deep learning 

      Barrachina Mir, Sergio; Castelló, Adrián; Catalán Carbó, Mar; Dolz, Manuel F.; Mestre Miravet, Jose Ignacio Springer (2021-02-22)
      We introduce a framework for training deep neural networks on clusters of computers with the following appealing properties: (1) It is developed in Python, exposing an amiable interface that provides an accessible entry ...