Search
Search Results
-
Improved QT ınterval estimation using conditional generative adversarial networks
QT interval carries essential information about ventricular depolarization and repolarization. Therefore, in many investigations, it is vital to...
-
A framework for personalized recommendation with conditional generative adversarial networks
Recommender systems suffer from interaction data sparsity in reality. Recently, generative adversarial network-based recommender systems have shown...
-
Real-time anomaly detection for ‘Remote’ bus stop surveillance using unsupervised conditional generative adversarial networks
In response to the imbalance between normal and abnormal samples in existing anomaly detection datasets, as well as the complexity in defining...
-
Stable parallel training of Wasserstein conditional generative adversarial neural networks
We propose a stable, parallel approach to train Wasserstein conditional generative adversarial neural networks (W-CGANs) under the constraint of a...
-
Siamese conditional generative adversarial network for multi-focus image fusion
Multi-focus image fusion (MFIF) combines information by utilizing various image sequences of the same scenes at different of focus depths. The...
-
Generating personalized facial emotions using emotional EEG signals and conditional generative adversarial networks
Facial expressions are one of the most effective and straightforward ways of conveying our emotions and intentions. Therefore, it is crucial to...
-
Leveraging Quantum computing for synthetic image generation and recognition with Generative Adversarial Networks and Convolutional Neural Networks
The generation and classification of synthetic images is a challenging and important task in the digital age. Generative Adversarial Networks are...
-
Controllable fundus image generation based on conditional generative adversarial networks with mask guidance
Fundus image generation can serve training data diversity as well as clinical and medical education. To solve the problem of the controllability and...
-
Contrast enhancement of underwater images using conditional generative adversarial network
The scattering effect of light and the presence of water organism deteriorates image quality captured in underwater environment. Researchers have...
-
New conditional generative adversarial capsule network for imbalanced classification of human sperm head images
Male infertility negatively affects the lives of infertile couples. Sperm head morphology is an essential factor in evaluating semen in male...
-
Self-attention generative adversarial networks applied to conditional music generation
The task of audio and music generation in the waveform domain has become possible due to recent advances in deep learning. Generative Adversarial...
-
Fully embedded time series generative adversarial networks
Generative adversarial networks should produce synthetic data that fits the underlying distribution of the data being modeled. For real-valued time...
-
Advancing Medical Imaging Through Generative Adversarial Networks: A Comprehensive Review and Future Prospects
In medical imaging, traditional methods have long been relied upon. However, the integration of Generative Adversarial Networks (GANs) has sparked a...
-
DDM-CGAN: a modified conditional generative adversarial network for SAR target image generation
In recent years, Generative Adversarial Network (GAN) have shown great potential and achieved excellent performance on the task of generating optical...
-
Elevating semantic segmentation: a conditional generative adversarial network (CGAN)-based synthetic scene image generation for enhanced precision
Accurately segmenting the left ventricle in end-diastolic echocardiography images is vital for precise cardiac diagnosis. Existing methods often...
-
Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs
In the study of large-scale complex knowledge graphs, due to the incompleteness of knowledge and the existence of low-frequency knowledge samples,...
-
Generative adversarial networks (GANs): Introduction, Taxonomy, Variants, Limitations, and Applications
The growing demand for applications based on Generative Adversarial Networks (GANs) has prompted substantial study and analysis in a variety of...
-
Modified-generative adversarial networks for imbalance text classification
Textual data faces a significant challenge known as class imbalance. This challenge arises when the distribution of classes within a dataset is...
-
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis
Recent progress in generative models has led to the drastic growth of research in image generation. Existing approaches show visually compelling...
-
Denoising of motion artifacted MRI scans using conditional generative adversarial network
Patient motion causes image distortion during Magnetic Resonance Imaging (MRI) capture. These distorted motion artifact induced MRI scans are...
