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Generic image application using gans (generative adversarial networks): A review
The generative adversarial network (GAN), which has received considerable notice for its
outstanding data generating abilities, is one of the most intriguing fields of artificial …
outstanding data generating abilities, is one of the most intriguing fields of artificial …
[HTML][HTML] Accuracy of using generative adversarial networks for glaucoma detection: systematic review and bibliometric analysis
Background Glaucoma leads to irreversible blindness. Globally, it is the second most
common retinal disease that leads to blindness, slightly less common than cataracts …
common retinal disease that leads to blindness, slightly less common than cataracts …
Application of a generative adversarial network for multi-featured fermentation data synthesis and artificial neural network (ANN) modeling of bitter gourd–grape …
Artificial neural networks (ANNs) have in recent times found increasing application in
predictive modelling of various food processing operations including fermentation, as they …
predictive modelling of various food processing operations including fermentation, as they …
Generative Adversarial Networks for SAR Automatic Target Recognition and Classification Models Enhanced Explainability: Perspectives and Challenges.
H Remusati, JM Le Caillec, JY Schneider… - Remote …, 2024 - search.ebscohost.com
Generative adversarial networks (or GANs) are a specific deep learning architecture often
used for different usages, such as data generation or image-to-image translation. In recent …
used for different usages, such as data generation or image-to-image translation. In recent …
Deep unfolding contrast source inversion for strong scatterers via generative adversarial mechanism
To alleviate the extremely intrinsical ill-posedness and nonlinearity of electromagnetic
inverse scattering under high contrast and low signal to noise ratio (SNR), we propose a …
inverse scattering under high contrast and low signal to noise ratio (SNR), we propose a …
[HTML][HTML] Attribute Feature Perturbation-Based Augmentation of SAR Target Data
R **, J Cheng, W Wang, H Zhang, J Zhang - Sensors, 2024 - mdpi.com
Large-scale, diverse, and high-quality data are the basis and key to achieving a good
generalization of target detection and recognition algorithms based on deep learning …
generalization of target detection and recognition algorithms based on deep learning …
[PDF][PDF] Generative artificial intelligence: risks and benefits for educational institutions
Alan Turing's 1950 paper," Computing Machinery and Intelligence," introduces the concept
of the Turing Test, also known as the'imitation game.'This test posits that if an interrogator is …
of the Turing Test, also known as the'imitation game.'This test posits that if an interrogator is …
[HTML][HTML] A Target Domain-Specific Classifier Weight Partial Transfer Adversarial Network for Bearing Fault Diagnosis
In actual industry applications, the failure categories of practical equipment are usually a
subset of laboratory conditions failure categories. Due to the strict constraints, partial transfer …
subset of laboratory conditions failure categories. Due to the strict constraints, partial transfer …
[PDF][PDF] Sefater Gbashi 1Ε, Tintswalo Lindi Maselesele 2, Patrick Berka Njobeh, Tumisi Beiri Jeremiah Molelekoa, Samson Adeoye Oyeyinka 3, Rhulani Makhuvele 4 &
Artificial neural networks (ANNs) have in recent times found increasing application in
predictive modelling of various food processing operations including fermentation, as they …
predictive modelling of various food processing operations including fermentation, as they …