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Structural damage assessment using linear approximation with maximum entropy and transmissibility data
(Elsevier, 2015)
Supervised learning algorithms have been proposed as a suitable alternative to model
updating methods in structural damage assessment, being Artificial Neural Networks the
most frequently used. Notwithstanding, the slow ...
Inverting ionospheric radio occultation measurements using maximum entropy
(American Geophysical Union, 2007-08-18)
Practical aspects of the inversion of ionospheric radio occultation data using the Abel transform and its inverse are discussed. The linear inverse transform exhibits poor error propagation characteristics, producing ...
A Bayesian Interpretation of First-Order Phase Transitions
(Springer, 2015)
In this work we review the formalism used in describing the thermodynamics
of first-order phase transitions from the point of view of maximum entropy
inference. We present the concepts of transition temperature, latent ...
Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics
(MDPI, 2020)
The Thermodynamic Formalism provides a rigorous mathematical framework for studying quantitative and qualitative aspects of dynamical systems. At its core, there is a variational principle that corresponds, in its simplest ...
A maximum entropy optimization model for origin-destination trip matrix estimation with fuzzy entropic parameters
(2021)
We formulate a bi-objective distribution model for urban trips constrained by origins and destinations while maximizing entropy. We develop a flexible and consistent approach in which the estimations of generated/attracted ...
An Adaptive Beamformer Algorithm-Based BMEVA Method for Enhanced Radar Imaging
(Revista Computación y Sistemas; Vol. 15 No. 2, 2011-12-13)
Abstract. In this paper, an adaptive beamformer algorithm LMS is presented and showed to improve the Bayesian Maximum Entropy–Variational Analysis (BMEVA) performance for high resolution radar imaging and denoising. A ...