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Hybrid GAN-LSTM framework for diabetic foot ulcer image synthesis and automated diagnosis [PDF]

open access: yesFrontiers in Medicine
IntroductionThe application of artificial intelligence (AI) in the analysis of medical images faces significant challenges, chiefly due to the scarcity of well-labeled datasets that are crucial for training sophisticated diagnostic models.
Abinaya Vina   +7 more
doaj   +2 more sources

Deep atrous context convolution generative adversarial network with corner key point extracted feature for nuts classification [PDF]

open access: yesScientific Reports
Deep learning-based nut classification has emerged as a viable way to automate the detection and categorization of different nut varieties in the food processing and agriculture sectors.
M. Shyamala Devi   +3 more
doaj   +2 more sources

Discriminants of toric varieties [PDF]

open access: yesCommunications in Algebra, 2021
We study the subvariety of singular sections, the discriminant, of a base point free linear system $|L|$ on a smooth toric variety $X$. On one hand we describe pairs $(X,L)$ for which the discriminant is of low dimension. Precisely, we collect some bounds on this dimension and classify those pairs whose dimension differs the bound less than or equal to
Muñoz, Roberto, Nolla, Álvaro
openaire   +2 more sources

Variety Discrimination Power: An Appraisal Index for Loci Combination Screening Applied to Plant Variety Discrimination [PDF]

open access: yesFrontiers in Plant Science, 2021
Molecular marker technology is used widely in plant variety discrimination, molecular breeding, and other fields. To lower the cost of testing and improve the efficiency of data analysis, molecular marker screening is very important. Screening usually involves two phases: the first to control loci quality and the second to reduce loci quantity.
Yang Yang   +9 more
openaire   +3 more sources

Millimeter Wave SAR Imaging Denoising and Classification by Combining Image-to-Image Translation With ResNet

open access: yesIEEE Access, 2023
Synthetic aperture radar (SAR) imaging has recently attracted considerable attention due to its variety of applications in both military and civilian aspects.
Pham The Hien, Ic-Pyo Hong
doaj   +1 more source

Varieties with small discriminant variety [PDF]

open access: yesTransactions of the American Mathematical Society, 2006
Let \(L\) be an ample and spanned line bundle \(L\) on a smooth complex \(n\)-dimensional projective variety \(X\), \(V\subset H^0(X,L)\) defining a morphism \(\phi_V: X\rightarrow \mathbb{P}^N\), let \(\mathcal{D}(X,V)\) be its discriminant locus (parameterizing the singular elements of \(| V| \)) and \(\phi_V(X)^\vee\) the dual variety of \(\phi_V(X)\
A. LANTERI, R. MUNOZ
openaire   +3 more sources

GAN‐based deep neural networks for graph representation learning

open access: yesEngineering Reports, 2022
Graph representation learning has attracted increasing attention in a variety of applications that involve learning on non‐Euclidean data. Recently, generative adversarial networks(GAN) have been increasingly applied to the field of graph representation ...
Ming Zhao, Yinglong Zhang
doaj   +1 more source

‎Gautama and Almost Gautama Algebras and their associated logics [PDF]

open access: yesTransactions on Fuzzy Sets and Systems, 2023
‎Recently‎, ‎Gautama algebras were defined and investigated as a common generalization of the variety $\mathbb{RDBLS}\rm t$ of regular double Stone algebras and the variety $\mathbb{RKLS}\rm t$ of regular Kleene Stone algebras‎, ‎both of which are‎, ‎in ...
Juan M. Cornejo   +1 more
doaj   +1 more source

Decidable discriminator varieties from unary varieties [PDF]

open access: yesJournal of Symbolic Logic, 1991
AbstractWe determine precisely those locally finite varieties of unary algebras of finite type which, when augmented by a ternary discriminator, generate a variety with a decidable theory.
Burris, Stanley   +2 more
openaire   +1 more source

Auto-Encoding Generative Adversarial Networks towards Mode Collapse Reduction and Feature Representation Enhancement

open access: yesEntropy, 2023
Generative Adversarial Nets (GANs) are a kind of transformative deep learning framework that has been frequently applied to a large variety of applications related to the processing of images, video, speech, and text.
Yang Zou, Yuxuan Wang, Xiaoxiang Lu
doaj   +1 more source

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