BIRD, BCAM's Institutional Repository Data: Envíos recientes
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Convergence over fractals for the Schrödinger equation
(202101)We consider a fractal refinement of the Carleson problem for the Schrödinger equation, that is to identify the minimal regularity needed by the solutions to converge pointwise to their initial data almost everywhere with ... 
Mathematical models for glioma growth and migration inside the brain
(202101)Gliomas are the most prevalent, aggressive, and invasive subtype of primary brain tumors, characterized by rapid cell proliferation and great infiltration capacity. De spite the advances of clinical research, these tumors ... 
Rational approximation of Pwave kinematics — Part 2: Orhorhombic media
(Geophysics, 202009)Orthorhombic anisotropy is a modern standard for 3D seismic studies in complex geologic settings. Several seismic data processing methods and wave propagation modeling algorithms in orthorhombic media rely on phasevelocity, ... 
A new acoustic assumption for orthorhombic media
(Geophysical journal international, 202011)In exploration seismology, the acquisition, processing and inversion of Pwave data is a routine. However, in orthorhombic anisotropic media, the governing equations that describe the Pwave propagation are coupled with ... 
Migration in MultiPopulation Differential Evolution for Many Objective Optimization
(2020 IEEE Congress on Evolutionary Computation (CEC), 2020)The paper proposes a novel extension of many objective optimization using differential evolution (MaODE). MaODE solves a many objective optimization (MaOO) problem by parallel optimization of individual objectives. MaODE ... 
QLearning Induced Artificial Bee Colony for Noisy Optimization
(2020 IEEE Congress on Evolutionary Computation (CEC), 2020)The paper proposes a novel approach to adaptive selection of sample size for a trial solution of an evolutionary algorithm when noise of unknown distribution contaminates the objective surface. The sample size of a solution ... 
A Machine Learning Approach to Predict Healthcare Cost of Breast Cancer Patients
(Scientific Reports, Springer Nature, 2021)This paper presents a novel machine learning approach to per form an early prediction of the healthcare cost of breast cancer patients. The learning phase of our prediction method considers the following two steps: i) in ... 
Equivalence between the DPG method and the Exponential Integrators for linear parabolic problems
(Journal of Computational Physics, 202011)The Discontinuous PetrovGalerkin (DPG) method and the exponential integrators are two well established numerical methods for solving Partial Di fferential Equations (PDEs) and sti ff systems of Ordinary Di fferential ... 
A DPGbased timemarching scheme for linear hyperbolic problems
(Computer Methods in Applied Mechanics and Engineering, 202011)The Discontinuous PetrovGalerkin (DPG) method is a widely employed discretization method for Partial Di fferential Equations (PDEs). In a recent work, we applied the DPG method with optimal test functions for the time ... 
Rational approximation of Pwave kinematics — Part 1: Transversely isotropic media
(Geophysics, 202009)In seismic data processing and several wave propagation modeling algorithms, the phase velocity, group velocity, and traveltime equations are essential. To have these equations in explicit form, or to reduce algebraic ... 
Journey to the center of the linear ordering problem
(GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 202006)A number of local search based algorithms have been designed to escape from the local optima, such as, iterated local search or variable neighborhood search. The neighborhood chosen for the local search as well as the ... 
Molecular Dynamics Test of the StressThermal Rule in Polyethylene and Polystyrene Entangled Melts
(Macromolecules, 20200203)Anisotropic thermal transport induced by deformation and the linear relation between the thermal conductivity and stress tensors, also known as the stressthermal rule (STR), are tested via molecular dynamics simulations ... 
Numerical investigation of the rheological behavior of a dense particle suspension in a biviscous matrix using a lubrication dynamics method
(Journal of NonNewtonian Fluid Mechanics, 20200519)This paper presents a numerical approach to predict the rheology of dense noncolloidal suspensions with a biviscous matrix. A biviscous matrix is characterized as a fluid with two shear rate dependent viscosities i.e. one ... 
Inflection, Canards and Folded Singularities in Excitable Systems: Application to a 3D FitzHugh–Nagumo Model
(Journal of Nonlinear Science, 20200907)Specific kinds of physical and biological systems exhibit complex MixedMode Oscillations mediated by foldedsingularity canards in the context of slowfast models. The present manuscript revisits these systems, specifically ... 
Why we should use topological data analysis in ageing: Towards defining the “topological shape of ageing”
(Mechanisms of Ageing and Development, 20201027)Living systems are subject to the arrow of time; from birth, they undergo complex transformations (selforganization) in a constant battle for survival, but inevitably ageing and disease trap them to death. Can ageing be ... 
Targeting Infectious Agents as a Therapeutic Strategy in Alzheimer’s Disease
(CNS Drugs, 20200526)Alzheimer’s disease (AD) is the most prevalent dementia in the world. Its cause(s) are presently largely unknown. The most common explanation for AD, now, is the amyloid cascade hypothesis, which states that the cause of ... 
Wireless Network Optimization for Massive V2I Data Collection using Multiobjective Harmony Search Heuristics
(Advances in Intelligent Systems and Computing, 2017)This paper proposes to improve the efficiency of the deploy ment of wireless network infrastructure for massive data collection from vehicles over regional areas. The increase in the devices that are carried by vehicles ... 
Costefficient Selective Network Caching in LargeArea Vehicular Networks using Multiobjective Heuristics
(Advances in Intelligent Systems and Computing, 2017)In the last decade the interest around network caching tech niques has augmented notably for alleviating the evergrowing demand of resources by end users in mobile networks. This gained momentum stems from the fact that ... 
On the Creation of Diverse Ensembles for Nonstationary Environments using Bioinspired Heuristics
(Advances in Intelligent Systems and Computing, 2017)Recently the relevance of adaptive models for dynamic data environments has turned into a hot topic due to the vast number of sce narios generating nonstationary data streams. When a change (concept drift) in data ... 
An Analysis of CoalitionCompetition Pricing Strategies for MultiOperator Mobile Traffic Offloading using Biobjective Heuristics
(Advances in Intelligent Systems and Computing, 2017)In a competitive market relationships between telecommuni cations operators serving simultaneously over a certain geographical area are diverse and motivated by very different business strategies and goals. Such relationships ...