Results 101 to 110 of about 10,267 (252)
Modelling Critical Impeding Factors of Gamification Adoption: An ISM‐MICMAC Analysis
ABSTRACT Gamification is a transformative technology that attracts consumers and motivates them toward desired actions through fun and engagement. Despite its growing popularity and influence on user behavior, gamification faces significant challenges in acceptance and implementation due to behavioral, technological, economic, and regulatory factors ...
Wamika Sharma +4 more
wiley +1 more source
Based on TransRes-Pix2Pix network to generate the OBL image during SMILE surgery
AimGenerative adversarial networks (GANs) were employed to predict the morphology of OBL before femtosecond laser scanning during SMILE.MethodsA retrospective cross-sectional analysis was conducted on 4,442 eyes from 2,265 patients who underwent SMILE ...
Zeyu Zhu +10 more
doaj +1 more source
Wavelength and Full‐Polarization Encrypted Orbital Angular Momentum Meta‐Holography
By multiplexing three independent degrees of freedom of light, a single‐layer geometric‐phase metasurface encrypts 24 distinct holographic images across 3 wavelengths, 12 pairs of orthogonal polarizations, and 4 OAM channels, taking advantage of axial chromatic dispersion to reconstruct the color images at the same plane. ABSTRACT Multiplexing multiple
Yue Han +5 more
wiley +1 more source
Индекс SSIM не является метрикой и плохо оценивает сходство изображений [PDF]
В статье исследованы некоторые свойства очень популярного показателя структурного сходства изображений, называемого индексом SSIM. Согласно сайту https://scholar.google.com на статью [3], где он был впервые описан, за 14 лет сделано более 20000 ссылок ...
Старовойтов, В. В.
core
Interleaved Diffractive Networks for Information Transfer Through Random Diffusers
This work presents a cascaded diffractive optical network that enables information transfer through random, unknown diffusers using passive, interleaved structured layers that mitigate scattering without digital computation. A hybrid optical‐digital version further improves robustness and reconstruction fidelity under distortions, with both simulations
Yuhang Li +4 more
wiley +1 more source
PSNR and SSIM values for various noise densities for different algorithms.
(a) and (b): the PSNR and SSIM for Lena image; (c) and (d): the PSNR and SSIM for Pepper image; (e) and (f): the PSNR and SSIM for MRI image.
Luyao Shi (565376) +7 more
core +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
SSIM-Based Autoencoder Modeling to Defeat Adversarial Patch Attacks
Object detection systems are used in various fields such as autonomous vehicles and facial recognition. In particular, object detection using deep learning networks enables real-time processing in low-performance edge devices and can maintain high ...
Seungyeol Lee +3 more
doaj +1 more source
A foreign object, commonly called as a ghost artifact, is integrated in the HDR output image when there is a moving object in the photography scene. The problem is persisting even after numerous models proposed by researchers.
Shahid Khan, Husnain Mansoor Ali
doaj +1 more source
Comparison parameters PSNR, SSIM and UQI using dataset [37].
Comparison parameters PSNR, SSIM and UQI using dataset [37].
Tariq Bashir (127259) +4 more
core +1 more source

