Bat Algorithm for Kernel Computation in Fractal Image Reconstruction
Authors: Gálvez, Akemi,Osaba, Eneko,Del Ser, Javier,Iglesias, Andrés
Computer reconstruction of digital images is an important problem in many areas such as image processing, computer vision, medical imaging, sensor systems, robotics, and many others. A very popular approach in that regard is the use of different kernels for various morphological image processing…
Springer International Publishing
LIHLITH: Learning to Interact with Humans by Lifelong Interaction with Humans
Authors: Agirre Bengoa, Eneko,Otegi, Arantxa,Pradel, Camille,Rosset, Sophie,Peñas Padilla, Anselmo,Cieliebak, Mark
The LIHLITH project will research, innovate and validate a new lifelong learning framework for the interaction of humans and machines on specific domains with the aim of improving the quality of existing dialogue systems and lowering the cost of deployment in new domains. LILITH will develop…
Sociedad Española para el Procesamiento del Lenguaje Natural
Dynamic Partitioning of Evolving Graph Streams Using Nature-Inspired Heuristics
Authors: Akemi Gálvez,Akemi Gálvez,Javier Del Ser,Andrés Iglesias,Andrés Iglesias,Eneko Osaba,Iztok Fister,Miren Nekane Bilbao
Detecting communities of interconnected nodes is a frequently addressed problem in situation that be modeled as a graph. A common practical example is this arising from Social Networks. Anyway, detecting an optimal partition in a network is an extremely complex and highly time-consuming task. This…
Springer International Publishing
Cuckoo Search Algorithm for Border Reconstruction of Medical Images with Rational Curves
Authors: Gálvez, Akemi,Fister, Iztok,Fister, Iztok,Osaba, Eneko,Ser, Javier Del,Iglesias, Andrés
Border reconstruction is a key technology in medical image processing, where it is applied to identify and separate different tissues, organs, and tumors in diagnostic procedures. The classical approaches for this problem are based on either linear or polynomial functions to describe the border of…
Springer International Publishing
A Hidden Markov Model Approach for Ventricular Fibrillation Detection
Authors: Unai Irusta,Borja Altamira,Elisabete Aramendi,Mohamud Daya,Erik Alonso
Early detection and defibrillation of ventricular fibrillation (VF) has been associated with improved survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AEDs). This study proposes a method for VF detection using ECGs obtained from OHCA…
Computing in Cardiology
Finger Photoplethysmography to Monitor Chest Compression Rate During Out-of-Hospital Cardiac Arrest
Authors: Jon Urteaga,Elisabete Aramendi,Ahamed H. Idris,Unai Irusta,Mohamud Daya,Andoni Elola,Pamela Owens,Erik Alonso
Cardiac arrest survival rate is strongly associated with high quality cardiopulmonary resuscitation (CPR), which includes chest compression (CC) rates above 100 min−1. Currently, defibrillator monitors use external hardware such as CPR assist pads to monitor CC rate and give feedback to the rescuer…
Computing in Cardiology
An Accurate Shock/No-Shock Decision Algorithm for Use During Piston-Driven Chest Compressions
Authors: Iraia Isasi,Jo Kramer-Johansen,Elisabete Aramendi,Unai Ayala,Erik Alonso,Trygve Eftestøl,Unai Irusta
Mechanically delivered chest compressions induce artifacts in the ECG that can lead to an incorrect diagnosis of the shock advice algorithms implemented in the defibrillators. This forces the rescuer to stop cardiopulmonary resuscitation (CPR) compromising circulation and thus reducing the…
Computing in Cardiology
Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm
Authors: Silvia Jiménez-Fernández,Carlos Camacho-Gómez,Ricardo Mallol-Poyato,Juan Fernández,Javier Del Ser,Antonio Portilla-Figueras,Sancho Salcedo-Sanz
In this work, a problem of optimal placement of renewable generation and topology design for a Microgrid (MG) is tackled. The problem consists of determining the MG nodes where renewable energy generators must be optimally located and also the optimization of the MG topology design, i.e., deciding…
MDPI AG
Atomistic Insight into Ion Transport and Conductivity in Ga/Al-Substituted Li7La3Zr2O12 Solid Electrolytes
Authors: Anna Llordes,Fabián A. García Daza,Javier Carrasco,Mauricio R. Bonilla,Elena Akhmatskaya,Elena Akhmatskaya
Garnet-structured Li7La3Zr2O12 is a promising solid electrolyte for next-generation solid-state Li batteries. However, sufficiently fast Li-ion mobility required for battery applications only emerges at high temperatures, upon a phase transition to cubic structure. A well-known strategy to…
American Chemical Society (ACS)
Seasonal Deposition and Lifting of Dust on Mars as Observed by the Curiosity Rover
Authors: Vicente-Retortillo, Álvaro,Martinez, German,Rennó, Nilton O.,Newman, C. E.,Ordonez-Etxeberria, I.,Lemmon, M. T.,Richardson, M. I.,Hueso, R.,Sánchez-Lavega, A.
AbstractIn situ measurements by the Curiosity rover provide a unique opportunity for studying the effects of dust on assets placed at the surface of Mars. Here we use in situ measurements of solar UV radiation to quantify the seasonal and interannual variability of dust accumulation on the sensor…
Springer Science and Business Media LLC
Device-Free People Counting in IoT Environments: New Insights, Results, and Open Challenges
Authors: Iker Sobron,Javier Del Ser,Inaki Eizmendi,Manuel Velez
In the last years multiple Internet of Things (IoT) solutions have been developed to detect, track, count, and identify human activity from people that do not carry any device nor participate actively in the detection process. When WiFi radio receivers are employed as sensors for device-free human…
Institute of Electrical and Electronics Engineers (IEEE)
Evolving Spiking Neural Networks for online learning over drifting data streams
Authors: Jesus L. Lobo,Ibai Laña,Javier Del Ser,Miren Nekane Bilbao,Nikola Kasabov
Nowadays huge volumes of data are produced in the form of fast streams, which are further affected by non-stationary phenomena. The resulting lack of stationarity in the distribution of the produced data calls for efficient and scalable algorithms for online analysis capable of adapting to such…
Elsevier BV
A beta‐binomial mixed‐effects model approach for analysing longitudinal discrete and bounded outcomes
Authors: Josu Najera-Zuloaga,Dae-Jin Lee,Inmaculada Arostegui,Inmaculada Arostegui
AbstractPatient‐reported outcomes (PROs) are currently being increasingly used as primary outcome measures in observational and experimental studies since they inform clinicians and researchers about the health‐status of patients and generate data to facilitate improved care. PROs usually appear as…
Wiley
Let nature decide its nature: On the design of collaborative hyperheuristics for decentralized ephemeral environments
Authors: Aritz Pérez Martínez,Javier Del Ser,Javier Del Ser,Eneko Osaba,Miren Nekane Bilbao
Abstract The research community has traditionally aimed at the derivation and development of metaheuristic solvers, suited to deal with problems of very diverse characteristics. Unfortunately, it is often the case that new metaheuristic techniques are presented and assessed in a reduced set of…
Elsevier BV
A novel technique to assess the quality of ventilation during pre-hospital cardiopulmonary resuscitation
Authors: Yuanzheng Lu,Elisabete Aramendi,Elisabete Aramendi,Pamela Owens,Mary P. Chang,Andoni Elola,Ahamed H. Idris,Unai Irusta
Devices that measure ventilation in the pre-hospital setting are deficient especially during early cardiopulmonary resuscitation (CPR) before placement of an advanced airway. Consequently, evidence is limited regarding the role of ventilation during early CPR and its effect on outcomes.To develop…
Elsevier BV
Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods
Authors: Elena Akhmatskaya,Elena Akhmatskaya,Mario Fernández-Pendás,Jesús María Sanz-Serna,Tijana Radivojevic
Modified Hamiltonian Monte Carlo (MHMC) methods combine the ideas behind two popular sampling approaches: Hamiltonian Monte Carlo (HMC) and importance sampling. As in the HMC case, the bulk of the computational cost of MHMC algorithms lies in the numerical integration of a Hamiltonian system of…
Elsevier BV
A review on distance based time series classification
Authors: Amaia Abanda,Amaia Abanda,Usue Mori,Jose A. Lozano,Jose A. Lozano
Time series classification is an increasing research topic due to the vast amount of time series data that are being created over a wide variety of fields. The particularity of the data makes it a challenging task and different approaches have been taken, including the distance based approach. 1-NN…
Springer Science and Business Media LLC
NAUTILUS-DTU10 MW Floating Offshore Wind Turbine at Gulf of Maine: Public numerical models of an actively ballasted semisubmersible
Authors: Galvan J.,Sanchez-Lara M. J.,Mendikoa I.,Perez-Moran G.,Nava V.,Rodriguez-Arias R.
This study presents two numerical multiphysics models of the NAUTILUS-10 floating support structure mounting the DTU10 MW Reference Wind Turbine at Gulf of Maine site, and analyses its dynamics. With the site conditions and the FAST model of the onshore turbine as the starting point, the floating…
IOP Publishing
A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem
Authors: Miren Nekane Bilbao,Javier Del Ser,Javier Del Ser,David Camacho,Ali Sadollah,Ali Sadollah,Eneko Osaba
Abstract The water cycle algorithm (WCA) is a nature-inspired meta-heuristic recently contributed to the community in 2012, which finds its motivation in the natural surface runoff phase in water cycle process and on how streams and rivers flow into the sea. This method has been so far…
Elsevier BV
Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness
Authors: Usue Mori,Alexander Mendiburu,Sanjoy Dasgupta,Jose A. Lozano
The problem of early classification of time series appears naturally in contexts where the data, of temporal nature, are collected over time, and early class predictions are interesting or even required. The objective is to classify the incoming sequence as soon as possible, while maintaining…
Institute of Electrical and Electronics Engineers (IEEE)
Asymptotic models for the electric potential across a highly conductive casing
Authors: Victor Péron,Victor Péron,Aralar Erdozain,David Pardo,David Pardo,David Pardo
We analyze a configuration that involves a steel-cased borehole, where the casing that covers the borehole is considered as a highly conductive thin layer. We develop an asymptotic method for deriving reduced problems capable of efficiently dealing with the numerical difficulties caused by the…
Elsevier BV
Spacecraft trajectory optimization: A review of models, objectives, approaches and solutions
Authors: Josu Ceberio,Jose A. Lozano,Jose A. Lozano,Abolfazl Shirazi
This article is a survey paper on solving spacecraft trajectory optimization problems. The solving process is decomposed into four key steps of mathematical modeling of the problem, defining the objective functions, development of an approach and obtaining the solution of the problem. Several…
Elsevier BV
The Rich Dynamics of Jupiter’s Great Red Spot from JunoCam: Juno Images
Authors: Agustín Sánchez-Lavega,Scott Bolton,Ricardo Hueso,G. S. Orton,John H. Rogers,Fachreddin Tabataba-Vakili,Candice Hansen,Tom Momary,Gerald Eichstädt
Abstract We have used high-resolution images obtained with JunoCam onboard the Juno spacecraft during its close flyby of Jupiter on 2017 July 11, to study the dynamics of the Great Red Spot (GRS) at the upper cloud level. We have measured the horizontal velocity and vorticity fields…
American Astronomical Society