Results 41 to 50 of about 9,248,795 (284)

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High Body Mass Index

Arthritis Care &Research, EarlyView.
Objective High body mass index (BMI ≥ 27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Eulerian Mapping Closure Approach for Probability Density Function of Concentration in Shear Flows

, 2002
The Eulerian mapping closure approach is developed for uncertainty propagation in computational fluid mechanics. The approach is used to study the Probability Density Function (PDF) for the concentration of species advected by a random shear flow ...
Bushnell DM, 何国威
core   +2 more sources

Waveform Estimation with Jitter Noise by Pseudo Symmetrical Probability Density Function [PDF]

, 1993
A new method for solving jitter noise in estimating high frequency waveform is proposed. It reduces the bias of the estimation in those points where all the other methods fail to achieve.
Hao, Wei-Da
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Estimation for filtering attacks on QIM watermarks

Tongxin xuebao, 2007
A scheme for estimating two-band amplitude scale attack within a quantization-based watermarking context was presented.Quantization-based watermarking schemes are not robust against linear time invariant（LTI） filtering attacks,on which a multi-band ...
WANG Jin-shen, DAI Yue-wei, WANG Zhi-quan   +2 more
doaj   +2 more sources

Adaptive minimum symbol-error-rate decision feedback equalization for multilevel pulse-amplitude modulation

, 2004
The design of decision feedback equalizers (DFEs) is typically based on the minimum mean square error (MMSE) principle, as this leads to effective adaptive implementation in the form of the least mean square algorithm.
Mulgrew, B., Hanzo, L., Chen, S.
core   +1 more source

Analysis of Echo Characteristics of Pulsed Laser Short-Range Detection Based on Light Cone Beam Expansion Mechanism

Applied Sciences
This study aims to fill the existing gap in laser detection research, particularly regarding how the waveform of outgoing laser pulses affects detection performance.
Changkun Ke, Lin Gan, He Zhang, Miaomiao Chen   +3 more
doaj   +1 more source

Improved Approach for the Maximum Entropy Deconvolution Problem

Entropy, 2021
The probability density function (pdf) valid for the Gaussian case is often applied for describing the convolutional noise pdf in the blind adaptive deconvolution problem, although it is known that it can be applied only at the latter stages of the ...
Shay Shlisel, Monika Pinchas
doaj   +1 more source

Probability density estimation with tunable kernels using orthogonal forward regression [PDF]

, 2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and ...
Hong, Xia, Chen, Sheng, Harris, Chris J., Chen, S.   +3 more
core   +1 more source