Results 231 to 240 of about 19,863,493 (281)

From Fiber Architecture to Digital Twins: Characterization, Orientation Modeling, and Artificial Intelligence in Short Fiber-Reinforced Polymer Composites. [PDF]

Polymers (Basel)
Uțu ID, Uțu D.
europepmc   +1 more source

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

Is easy-to-read easy for everyone? An eye-tracking study across the adult lifespan. [PDF]

Front Aging Neurosci
Navas-León S, Duñabeitia JA.
europepmc   +1 more source

First-principles prediction of the thermoelectric properties of Sn(S_0.2Se_0.8) alloys.

Phys Chem Chem Phys
Zhang M, Flitcroft JM, Skelton JM.
europepmc   +1 more source

Lie Classification and Symmetry-Preserving Reduced-Order Modeling of Nonlinear Electrostatic MEMS. [PDF]

Micromachines (Basel)
Versaci M, Morabito FC.
europepmc   +1 more source

Mechanistic ODE modelling of ovarian tumour microenvironment dynamics under hesperidin exposure. [PDF]

R Soc Open Sci
Dzik R.
europepmc   +1 more source

Reduced-Order Subscales for POD Models [PDF]

Computer Methods in Applied Mechanics and Engineering, 2015
In this work the Reduced-Order Subscales for Proper Orthogonal Decomposition models are presented. The basic idea consists in splitting the full-order solution into the part which can be captured by the reduced-order model and the part which cannot, the ...
Joan Baiges, Ramon Codina, Sergio Idelsohn   +2 more
exaly   +2 more sources