Results 201 to 210 of about 92,424 (280)
Residual Neural Network Compensation of Temperature‐Induced Gamma Shift in OLED Display
The figure summarizes the proposed white‐only sensing framework and highlights its key advantages in improving color accuracy and reducing calibration time ABSTRACT Organic light‐emitting diode (OLED) displays exhibit temperature‐induced chromatic shifts and luminance‐dependent nonlinear responses, causing CIEDE2000 color difference (ΔE) and local ...
Ching‐Hsiang Hsu, Mang Ou‐Yang
wiley +1 more source
A Multilayer Perceptron-Based Spherical Visual Compass Using Global Features. [PDF]
Du Y, Mateo C, Tahri O.
europepmc +1 more source
When seeking nanoparticles with elevated drug loading content, the experimental setup, including solvent selection, is crucial. Through machine learning, we pinpointed that the drug's solubility in the organic solvent is the key factor for attaining high drug loading content.
Wei Ge +4 more
wiley +1 more source
ABSTRACT Purpose Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi‐b DW images with simultaneous signal modeling. Methods Prostate diffusion images from 46 individuals acquired at 20 linearly distributed b‐values (bmax=2000s/mm2)$$ {b}_{\mathrm{max}}=2000\kern0.3em \mathrm{s}/{\
Mustafa Abbas +4 more
wiley +1 more source
Mechanism and Multilayer Perceptron prediction model of the removal of <i>α</i>-terpineol, terpinen-4-ol and carvone from pasteurized citrus juices by <i>β</i>-cyclodextrin encapsulation. [PDF]
Mai R +14 more
europepmc +1 more source
ABSTRACT Purpose We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi‐echo gradient echo (ME‐GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scans.
Samiha Prima +3 more
wiley +1 more source
ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1$$ {T}_1 $$, T2$$ {T}_2 $$,
Hye‐Ryeong Choi +2 more
wiley +1 more source
GWO-Based Joint Optimization of Millimeter-Wave System and Multilayer Perceptron for Archaeological Application. [PDF]
Marot J +5 more
europepmc +1 more source
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee +3 more
wiley +1 more source
Multilayer Perceptron-Based Wearable Exercise-Related Heart Rate Variability Predicts Anxiety and Depression in College Students. [PDF]
Li X, Zou L, Li H.
europepmc +1 more source

