The application of evolutionary computation in generative adversarial networks (GANs): a systematic literature survey
Sign Up to like & getrecommendations! Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10818-y
Abstract: As a subfield of deep learning (DL), generative adversarial networks (GANs) have produced impressive generative results by applying deep generative models to create synthetic data and by performing an adversarial training process. Nevertheless, numerous issues… read more here.
Keywords: networks gans; adversarial networks; systematic literature; evolutionary computation ... See more keywords
GANSim: Conditional Facies Simulation Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Geosciences"
DOI: 10.1007/s11004-021-09934-0
Abstract: Conditional facies modeling combines geological spatial patterns with different types of observed data, to build earth models for predictions of subsurface resources. Recently, researchers have used generative adversarial networks (GANs) for conditional facies modeling, where… read more here.
Keywords: generative adversarial; adversarial networks; networks gans; conditional facies ... See more keywords
Generative adversarial networks (GANs): Introduction, Taxonomy, Variants, Limitations, and Applications
Sign Up to like & getrecommendations! Published in 2024 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-024-18767-y
Abstract: The growing demand for applications based on Generative Adversarial Networks (GANs) has prompted substantial study and analysis in a variety of fields. GAN models have applications in NLP, architectural design, text-to-image, image-to-image, 3D object production,… read more here.
Keywords: networks gans; adversarial networks; image; generative adversarial ... See more keywords
Generative adversarial networks (GANs) to produce synthetic 12-lead electrocardiogram signals for specific and rare diseases: a novel, powerful tool towards clinical advancements
Sign Up to like & getrecommendations! Published in 2024 at "European Heart Journal"
DOI: 10.1093/eurheartj/ehae666.3427
Abstract: Remarkable technological advancements in electrocardiogram (ECG) analysis face challenges due to insufficiently diverse and extensive real-world datasets. This limitation hampers both the development of sophisticated deep learning (DL) models for ECG analysis and the exposure… read more here.
Keywords: networks gans; adversarial networks; ecg signals; generative adversarial ... See more keywords
Hyperparameter Optimization in Generative Adversarial Networks (GANs) Using Gaussian AHP
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DOI: 10.1109/access.2024.3518979
Abstract: This study explores optimizing hyperparameters in Generative Adversarial Networks (GANs) using the Gaussian Analytical Hierarchy Process (Gaussian AHP). By integrating machine learning techniques and multi-criteria decision methods, the aim is to enhance the performance and… read more here.
Keywords: networks gans; adversarial networks; gaussian ahp; generative adversarial ... See more keywords
Using New York City’s Geographic Data in an Innovative Application of Generative Adversarial Networks (GANs) to Produce Cooling Comparisons of Urban Design
Sign Up to like & getrecommendations! Published in 2025 at "Land"
DOI: 10.3390/land14071393
Abstract: Urban blue–green space (UBGS) plays a critical role in mitigating the urban heat island (UHI) effect and reducing land surface temperatures (LSTs). However, existing research has not sufficiently explored the optimization of UBGS spatial configurations… read more here.
Keywords: networks gans; new york; adversarial networks; geographic data ... See more keywords