Results 191 to 200 of about 221,929 (334)

A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images

Advanced Intelligent Systems, EarlyView.
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai, Li Li, Shanqing Zhang, Ting Luo, Chin‐Chen Chang   +4 more
wiley   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Mutual information maximizing quantum generative adversarial networks. [PDF]

Sci Rep
Lee M, Shin M, Lee J, Jeong K.
europepmc   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Multiscale attention generative adversarial networks for lesion synthesis in chest X-ray images. [PDF]

Sci Rep
Alam MS, Meijering E, Wang D, Sowmya A.
europepmc   +1 more source

Optimized Generative Adversarial Networks for Adversarial Sample Generation

Computers, Materials & Continua, 2022
Daniyal M. Alghazzawi, Syed Hamid Hasan, Surbhi Bhatia   +2 more
openaire   +1 more source

Appraisal of Gene Expression‐Based Classifiers for Neuropsychiatric Disorders: A Meta‐Regression

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT A substantial body of research examines the potential of gene‐expression‐based biomarkers for diagnosing and selecting treatments for neuropsychiatric disorders, yet no clear consensus has been reached regarding the influence of controllable factors such as study design and model selection on the performance of gene‐expression‐based ...
Ali Razavi, Brittany Arensman, Eric J. Barnett, Leo A. Lee, Stephen V. Faraone, Stephen J. Glatt, Jonathan L. Hess   +6 more
wiley   +1 more source

Towards an optimized paradigm: generative adversarial networks and 3D modeling in landscape design and generation. [PDF]

PLoS One
He M.
europepmc   +1 more source

An Unsupervised Approach to Solving Inverse Problems using Generative\n Adversarial Networks [PDF]

, 2018
Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Peer‐Timo Bremer   +3 more
openalex   +1 more source

SNPE-SRGAN: Lightweight Generative Adversarial Networks for Single-Image Super-Resolution on Mobile Using SNPE Framework

, 2021
Hendrik Tampubolon, A. S. Setyoko, Fanindia Purnamasari   +2 more
openalex   +1 more source