Examinando por Autor "Montoya O.L.Q."
Mostrando 1 - 4 de 4
Resultados por página
Opciones de ordenación
Ítem The continuous wavelet transform in the extraction of information from wavefields(Sociedade Brasileira de Geofisica, 2019-08-19) Montoya O.L.Q.; Paniagua, Juan Guillermo; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoArtifacts in reverse time migration (RTM) are low spatial frequency noise that appears due to the undesired correlation of head wavesÍtem Estimation of fundamental diagrams in large-scale traffic networks with scarce sensor measurements(Institute of Electrical and Electronics Engineers Inc., 2018-01-01) Montoya O.L.Q.; Canudas-De-Wit C.; Montoya O.L.Q.; Canudas-De-Wit C.; Universidad EAFIT. Departamento de Ciencias; Modelado MatemáticoThe macroscopic fundamental diagram (MFD) relates space-mean flow density and the speed of an entire network. We present a method for the estimation of a 'normalized' MFD with the goal to compute specific Fundamental Diagram in places where loop sensors data is no available. The methodology allows using some data from different points in the city and possibly combining several kinds of information. To this aim, we tackle at least three major concerns: the data dispersion, the sparsity of the data, and the role of the link (with data) within the network. To preserve the information we decided to treat it as two-dimensional signals (images), so we based our estimation algorithm on image analysis, preserving data veracity until the last steps (instead of first matching curves that induce a first approximation). Then we use image classification and filtering tools for merging of main features and scaling. Finally, just the Floating Car Data (FCD) is used to map back the general form to the specific road where sensors are missing. We obtained a representation of the street by means of its likelihood with other links within the same network. © 2018 IEEE.Ítem From Artificial Intelligence to Deep Learning in Bio-medical Applications(Springer International Publishing, 2020-02-01) Montoya O.L.Q.Ítem Parameter estimation for subsoil modelling via seismic refraction1(Sociedade Brasileira de Geofisica, 2019-08-19) Boada, Bibiana Esperanza; Montoya O.L.Q.; Paniagua, Juan Guilleromo; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoFor mining exploration in geologically complex zones, there are several techniques, among them the seismic refraction, which studies the propagation of seismic waves produced artificially