Fast 2.5D finite element simulations of borehole resistivity measurements
Authors: Carlos Torres-Verdín,Ángel Rodríguez-Rozas,David Pardo,David Pardo,David Pardo
We develop a rapid 2.5-dimensional (2.5D) finite element method for simulation of borehole resistivity measurements in transversely isotropic (TI) media. The method combines arbitrary high-order $H^1$ - and $H$ (curl)-conforming spatial discretizations. It solves problems where material properties…
Springer Science and Business Media LLC
QUANTUM COMPUTING: SIX KEY FACTORS TO UNDERSTAND THE FUTURE OF COMPUTATION
Authors: Javier Del Ser Lorente,Esther Villar Rodriguez,Eneko Osaba Icedo
The future of computing has been seen since its inception with the focus on the two objectives: more data and less energy. Continued advances in computer technology have allowed, since the 1960s, a steady and dizzying reduction in the size of transistors, which has translated into a faster process…
UK Zhende Publishing Limited Company
Haze and cloud structure of Saturn's North Pole and Hexagon Wave from Cassini/ISS imaging
Authors: J.F. Sanz-Requena,S. Pérez-Hoyos,A. Sánchez-Lavega,A. Antuñano,Patrick G.J. Irwin
Abstract In this paper we present a study of the vertical haze and cloud structure in the upper two bars of Saturn's Northern Polar atmosphere using the Imaging Science Subsystem (ISS) instrument onboard the Cassini spacecraft. We focus on the characterization of latitudes from 53° to 90° N. The…
Elsevier BV
On the imputation of missing data for road traffic forecasting: New insights and novel techniques
Authors: Ignacio Olabarrieta,Javier Del Ser,Javier Del Ser,Manuel Velez,Ibai Laña
Abstract Vehicle flow forecasting is of crucial importance for the management of road traffic in complex urban networks, as well as a useful input for route planning algorithms. In general traffic predictive models rely on data gathered by different types of sensors placed on roads, which…
Elsevier BV
Finite element simulations of logging-while-drilling and extra-deep azimuthal resistivity measurements using non-fitting grids
Authors: Théophile Chaumont-Frelet,David Pardo,David Pardo,David Pardo,Ángel Rodríguez-Rozas
We propose a discretization technique using non-fitting grids to simulate magnetic field-based resistivity logging measurements. Non-fitting grids are convenient because they are simpler to generate and handle than fitting grids when the geometry is complex. On the other side, fitting grids have…
Springer Science and Business Media LLC
Revealing the Mechanism of Sodium Diffusion in NaxFePO4 Using an Improved Force Field
Authors: Ariel Lozano,Bruno Escribano,Mauricio R. Bonilla,Javier Carrasco,Elena Akhmatskaya,Elena Akhmatskaya
MTM2013-46553-C3-1-P ENE2016-81020-R SGI/IZO-SGIker UPV/EHU i2BASQUE academic network Barcelona Supercomputer Center American Chemical Society (ACS)
Cytotoxicity and cellular mechanisms of toxicity of CuO NPs in mussel cells in vitro and comparative sensitivity with human cells
Authors: Katsumiti, A,Thorley, AJ,Arostegui, I,Reip, P,Valsami-Jones, E,Tetley, TD,Cajaraville, MP
There is a need to assess human and ecosystem health effects of copper oxide nanoparticles (CuO NPs), extensively used in many industrial products. Here, we aimed to determine the cytotoxicity and cellular mechanisms involved in the toxicity of CuO NPs in mussel cells (hemocytes and gill cells) in…
Elsevier BV
Evaluation of chest compression artefact removal based on rhythm assessments made by clinicians
Authors: Alonso, Erik,Aramendi, Elisabete,Irusta, Unai,Daya, Mohamud,Corcuera, Carlos,Lu, Yuanzheng,Idris, Ahamed H.
To evaluate the performance of a state-of-the-art cardiopulmonary resuscitation (CPR) artefact suppression method by assessing to what extent the filtered electrocardiogram (ECG) can be correctly diagnosed by emergency medicine doctors.A total of 819 ECG segments were used. Each segment contained…
Elsevier BV
The weighted independent domination problem: Integer linear programming models and metaheuristic approaches
Authors: Christian Blum,Pedro Pinacho Davidson,Pedro Pinacho Davidson,Jose A. Lozano,Jose A. Lozano
This work deals with the so-called weighted independent domination problem, which is an NP-hard combinatorial optimization problem in graphs. In contrast to previous work, this paper considers the problem from a non-theoretical perspective. The first contribution consists in the development of…
Elsevier BV
Combining statistical techniques to predict postsurgical risk of 1-year mortality for patients with colon cancer
Authors: Arostegui, Inmaculada,Gonzalez, Nerea,Fernández-de-Larrea, Nerea,Lázaro-Aramburu, Santiago,Baré, Marisa,Redondo, Maximino,Sarasqueta, Cristina,Garcia-Gutierrez, Susana,Quintana, José M,REDISSEC CARESS-CCR Group
Colorectal cancer is one of the most frequently diagnosed malignancies and a common cause of cancer-related mortality. The aim of this study was to develop and validate a clinical predictive model for 1-year mortality among patients with colon cancer who survive for at least 30 days after surgery.…
Informa UK Limited
A New Dark Vortex on Neptune
Authors: Michael H. Wong,Joshua Tollefson,Andrew I. Hsu,Imke de Pater,Amy A. Simon,Ricardo Hueso,Agustín Sánchez-Lavega,Lawrence Sromovsky,Patrick Fry,Statia Luszcz-Cook,Heidi Hammel,Marc Delcroix,Katherine de Kleer,Glenn S. Orton,Christoph Baranec
Abstract An outburst of cloud activity on Neptune in 2015 led to speculation about whether the clouds were convective in nature, a wave phenomenon, or bright companions to an unseen dark vortex (similar to the Great Dark Spot studied in detail by Voyager 2). The Hubble Space…
American Astronomical Society
A heuristic approach to the multicriteria design of IaaS cloud infrastructures for Big Data applications
Authors: Javier Del Ser,Javier Del Ser,Maria Arostegi,Ana I. Torre-Bastida,Miren Nekane Bilbao
AbstractThe rapid growth of new computing paradigms such as Cloud Computing and Big Data has unleashed great opportunities for companies to shift their business model towards a fully digital strategy. A major obstacle in this matter is the requirement of highly specialized ICT infrastructures that…
Wiley
Memetic Modified Cuckoo Search Algorithm with ASSRS for the SSCF Problem in Self-Similar Fractal Image Reconstruction
Authors: Javier Del Ser,Javier Del Ser,Andrés Iglesias,Andrés Iglesias,Akemi Gálvez,Akemi Gálvez,Eneko Osaba,Iztok Fister
This paper proposes a new memetic approach to address the problem of obtaining the optimal set of individual Self-Similar Contractive Functions (SSCF) for the reconstruction of self-similar binary IFS fractal images, the so-called SSCF problem. This memetic approach is based on the hybridization of…
Springer International Publishing
Finite Element Approximation of Electromagnetic Fields Using Nonfitting Meshes for Geophysics
Authors: David Pardo,David Pardo,Théophile Chaumont-Frelet,Serge Nicaise
We analyze the use of nonfitting meshes for simulating the propagation of electromagnetic waves inside the earth with applications to borehole logging. We avoid the use of parameter homogenization and employ standard edge finite element basis functions. For our geophysical applications, we consider…
Society for Industrial & Applied Mathematics (SIAM)
A Deep Learning Approach to Device-Free People Counting from WiFi Signals
Authors: Inaki Eizmendi,Manuel Velez,Javier Del Ser,Javier Del Ser,Iker Sobron
The last decade has witnessed a progressive interest shown by the community on inferring the presence of people from changes in the signals exchanged by deployed wireless devices. This non-invasive approach finds its rationale in manifold applications where the provision of counting devices to the…
Springer International Publishing
Interplay of Two Bat Algorithm Robotic Swarms in Non-cooperative Target Point Search
Authors: Suárez, Patricia,Gálvez, Akemi,Fister, Iztok,Fister, Iztok,Osaba, Eneko,Del Ser, Javier,Iglesias, Andrés
In this paper, we analyze the interplay of two robotic swarms applied to solve a target point search in a non-cooperative mode. In particular, we consider the case of two identical robotic swarms deployed within the same environment to perform dynamic exploration seeking for two different unknown…
Springer International Publishing
Road Traffic Forecasting: Recent Advances and New Challenges
Authors: Ibai Lana,Javier Del Ser,Manuel Velez,Eleni I. Vlahogianni
Due to its paramount relevance in transport planning and logistics, road traffic forecasting has been a subject of active research within the engineering community for more than 40 years. In the beginning most approaches relied on autoregressive models and other analysis methods suited for time…
Institute of Electrical and Electronics Engineers (IEEE)
Multi-objective Metaheuristics for a Flexible Ligand-Macromolecule Docking Problem in Computational Biology
Authors: Javier Del Ser,José F. Aldana-Montes,María Jesús García-Godoy,Esteban López Camacho,Antonio J. Nebro
The problem of molecular docking focuses on minimizing the binding energy of a complex composed by a ligand and a receptor. In this paper, we propose a new approach based on the joint optimization of three conflicting objectives: \(E_{inter}\) that relates to the ligand-receptor affinity, the \(E_{…
Springer International Publishing
Multi-objective Design of Time-Constrained Bike Routes Using Bio-inspired Meta-heuristics
Authors: Miren Nekane Bilbao,Pedro Lopez-Garcia,Eneko Osaba,Antonio J. Nebro,Javier Del Ser,Javier Del Ser
This paper focuses on the design and implementation of a bike route optimization approach based on multi-objective bio-inspired heuristic solvers. The objective of this approach is to produce a set of Pareto-optimal bike routes that balance the trade-off between the length of the route and its…
Springer International Publishing
Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures
Authors: Izaskun Oregi,Aritz Pérez,Javier Del Ser,Javier Del Ser,Jose A. Lozano,Jose A. Lozano
Adversarial Machine Learning (AML) refers to the study of the robustness of classification models when processing data samples that have been intelligently manipulated to confuse them. Procedures aimed at furnishing such confusing samples exploit concrete vulnerabilities of the learning algorithm…
Springer International Publishing
Learning to classify software defects from crowds: A novel approach
Authors: Rachel Harrison,Jerónimo Hernández-González,Iñaki Inza,Daniel Rodriguez,Jose A. Lozano,Jose A. Lozano
In software engineering, associating each reported defect with a cate- gory allows, among many other things, for the appropriate allocation of resources. Although this classification task can be automated using stan- dard machine learning techniques, the categorization of defects for model training…
Elsevier BV
Distance-Based Exponential Probability Models for Constrained Combinatorial Problems
Authors: Alexander Mendiburu,Josu Ceberio,Jose A. Lozano,Jose A. Lozano
Estimation of Distribution Algorithms (EDAs) have already demonstrated their utility when solving a broad range of combinatorial problems. However, there is still room for methodological improvement when approaching problems with constraints. The great majority of works in the literature implement…
Springer International Publishing
Decision Making in Industry 4.0 Scenarios Supported by Imbalanced Data Classification
Authors: Aitor Aguirre,Javier Del Ser,Antonio J. Nebro,Jesus Para
In the last years Data Science has emerged as one of the main technological enablers in many business sectors, including the manufacturing industry. Process engineers, who traditionally resorted to engineering tools for troubleshooting, have now embraced the support of data analysis to unveil…
Springer International Publishing
Detectability of possible space weather effects on Mars upper atmosphere and meteor impacts in Jupiter and Saturn with small telescopes
Authors: Ricardo Hueso,Teresa del Río-Gaztelurrutia,Agustín Sánchez-Lavega,Marc Delcroix,Jon Juaristi,Luis Carlos Fernández-González
Amateur astronomers operating small telescopes accumulate a larger amount of observational time of Solar System planets than the ensemble of professional telescopes. Over the last 15 years, advancements in low-cost fast acquisition cameras and image software processing tools have pushed forward the…
EDP Sciences