Evaluation of interactive digital art healing effects based on multi modal physiological signals and generative adversarial networks (GANs): an empirical study of the neural mechanisms of emotion regulation. [PDF]
Front PsycholXu Z, Xia B.
europepmc +1 more source
Generative Adversarial Networks (GANs) have become a popular research topic in many research fields in the last decade. The fragmented body of knowledge on GANs drives researchers to a trial-and-error procedure while choosing the right GAN for a given ...
Yilmaz, Bilgi, Korn, Ralf
core +1 more source
Systematic review of generative adversarial networks (GANs) in cell microscopy: Trends, practices, and impact on image augmentation. [PDF]
PLoS OneLesmes-Leon DN, Dengel A, Ahmed S.
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Understanding the mathematical background of Generative Adversarial Networks (GANs)
234255Generative Adversarial Networks (GANs) have gained widespread attention since their introduction, leading to numerous extensions and applications of the original GAN idea.
Yilmaz, Bilgi, Korn, Ralf
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Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Security of Generative Adversarial Networks
The overarching goal of this work is to explore the security landscape of Generative Adversarial Networks (GANs). In recent years, their adoption started to gain traction, and they are now used in many critical domains.
Kyrylo Rudavskyy (18157057)
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Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
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Parsing disease heterogeneity in structural and functional MRI-derived measures using normative modeling and Generative Adversarial Networks (GANs). [PDF]
Proc SPIE Int Soc Opt EngChintapalli SS +5 more
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DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Leveraging both global contextual dependencies and local temporal‐spectral patterns can further enhance speech quality and intelligibility, motivating the integration of diverse neural network structures for improved mask estimation. Furthermore, due to the limitations of existing time‐frequency phase‐aware masks, a new constrained phase ...
Matin Pashaian, Sanaz Seyedin
wiley +1 more source