[HTML][HTML] Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy?
H Onias, A Viol, F Palhano-Fontes, KC Andrade… - Epilepsy & Behavior, 2014 - Elsevier
Functional magnetic resonance imaging (fMRI) has just completed 20 years of existence. It
currently serves as a research tool in a broad range of human brain studies in normal and …
currently serves as a research tool in a broad range of human brain studies in normal and …
Bayesian extreme value analysis of kinematic-based surrogate measure of safety to detect crash-prone conditions in connected vehicles environment: A driving …
AK Bakhshi, MM Ahmed - Transportation research part C: emerging …, 2022 - Elsevier
Abstract Connected Vehicles (CVs) technology has provided large-scale driving database
embedded in Basic Safety Messages (BSMs). This valuable data source can shed more light …
embedded in Basic Safety Messages (BSMs). This valuable data source can shed more light …
Distributions of the Kullback–Leibler divergence with applications
DI Belov, RD Armstrong - British Journal of Mathematical and …, 2011 - Wiley Online Library
The Kullback–Leibler divergence (KLD) is a widely used method for measuring the fit of two
distributions. In general, the distribution of the KLD is unknown. Under reasonable …
distributions. In general, the distribution of the KLD is unknown. Under reasonable …
Multiscale entropy-based methods for heart rate variability complexity analysis
Physiologic complexity is an important concept to characterize time series from biological
systems, which associated to multiscale analysis can contribute to comprehension of many …
systems, which associated to multiscale analysis can contribute to comprehension of many …
Evaluating the performance of traffic conflict measures in real-time crash risk prediction using pre-crash vehicle trajectories
The primary objective of this study was to evaluate the performance of traffic conflict
measures for real-time crash risk prediction. Drone recordings were collected from a freeway …
measures for real-time crash risk prediction. Drone recordings were collected from a freeway …
Area-Level Model-Based Small Area Estimation of Divergence Indexes in the Spanish Labour Force Survey
This article develops model-based predictors for area-level proportions of employed men
and women by occupation sectors and for entropies and divergence indexes (DIs) within …
and women by occupation sectors and for entropies and divergence indexes (DIs) within …
Novel regularization method for diffuse optical tomography inverse problem
Diffuse optical tomography (DOT) is an optical imaging technique using near-infrared
spectroscopy (NIRS). Because the NIR light is highly scattered in biological tissue, the …
spectroscopy (NIRS). Because the NIR light is highly scattered in biological tissue, the …
Generalized relative entropy in functional magnetic resonance imaging
The generalized Kullback–Leibler distance Dq (q is the Tsallis parameter) is shown to be an
useful measure for analysis of functional magnetic resonance imaging (fMRI) data series …
useful measure for analysis of functional magnetic resonance imaging (fMRI) data series …
Sensitivity of complex networks measurements
Complex networks obtained from real-world networks are often characterized by
incompleteness and noise, consequences of imperfect sampling as well as artifacts in the …
incompleteness and noise, consequences of imperfect sampling as well as artifacts in the …
Non-extensive entropy and the extraction of BOLD spatial information in event-related functional MRI
MJ Sturzbecher, W Tedeschi… - Physics in Medicine …, 2008 - iopscience.iop.org
Functional magnetic resonance imaging (fMRI) data analysis has been carried out recently
in the framework of information theory, by means of the Shannon entropy. As a natural …
in the framework of information theory, by means of the Shannon entropy. As a natural …