Results 101 to 110 of about 721,188 (387)

Longitudinal Relationship Between Pain and Depression in People With Inflammatory Arthritis: A Narrative Review

open access: yesArthritis Care &Research, EarlyView.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox   +3 more
wiley   +1 more source

UN ESQUEMA DE MODULACIÓN DE 4 ESTADOS EN 3 DIMENSIONES BASADO EN WAVELETS (4P-3D).

open access: yesRevista de Investigaciones Universidad del Quindío, 2014
En este artículo se propone un esquema de modulación digital denominado Modulación Particionada de 4 Estados en 3 Dimensiones (4P-3D). Dicho esquema divide el mensaje binario en bloques de 2 bits y representa cada bloque mediante un vector real de 3 ...
Jesús Mauricio Ramírez Viáfara   +1 more
doaj   +1 more source

On the regularity of wavelets [PDF]

open access: yesIEEE Transactions on Information Theory, 1992
The regularity index alpha /sub N/ of the scaling functions /sub N/ phi , N=2, 3, . . . of multiresolution analysis introduced by I. Daubechies (1988) is investigated. It is shown that 0.51 >
openaire   +3 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Iris recognition using the JAVAVis Library [PDF]

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2008
This project has been created to develop a biometric identification system through a man’s iris using a computer to perform the processing of the pictures.
L.Martin García   +2 more
doaj  

How do oil price changes affect inflation in Central and Eastern European countries? A wavelet-based Markov switching approach

open access: yesBaltic Journal of Economics, 2019
This paper investigates how oil price changes affect consumer price inflation in eleven Central and Eastern European countries. We use a wavelet-based Markov switching approach in order to distinguish between the effects at different time horizons.
Dejan Živkov   +2 more
doaj   +1 more source

RhoA and Rac1 as Mechanotransduction Mediators in Colorectal Cancer

open access: yesAdvanced Biology, EarlyView.
Analysing RhoA and Rac1 protein levels in Colorectal cancer (CRC) samples under mechanical strain highlights their potential as diagnostic markers. Monitoring their activity could offer valuable insights into how cancer spreads, paving the way for new approaches to better understand and diagnose colorectal cancer.
Sharda Yadav   +5 more
wiley   +1 more source

Prediction of Glioma Grades Using Deep Learning with Wavelet Radiomic Features

open access: yesApplied Sciences, 2020
Gliomas are the most common primary brain tumors. They are classified into 4 grades (Grade I–II-III–IV) according to the guidelines of the World Health Organization (WHO).
Gökalp Çinarer   +2 more
doaj   +1 more source

Generalised additive multiscale wavelet models constructed using particle swarm optimisation and mutual information for spatio-temporal evolutionary system representation [PDF]

open access: yes, 2007
A new class of generalised additive multiscale wavelet models (GAMWMs) is introduced for high dimensional spatio-temporal evolutionary (STE) system identification.
Billings, S.A., Wei, H.L., Zhao, Y.
core  

Wavelet deconvolution

open access: yesIEEE Transactions on Information Theory, 2002
This paper studies the issue of optimal deconvolution density estimation using wavelets. The approach taken here can be considered as orthogonal series estimation in the more general context of the density estimation. We explore the asymptotic properties of estimators based on thresholding of estimated wavelet coefficients. Minimax rates of convergence
Jianqing Fan, Ja-Yong Koo
openaire   +3 more sources

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