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Energy efficiency security in urban areas: Challenges and implementation
Huang J., Zonghui W., Koroteev D.D., Rynkovskaya M.
Detection System (IDS) fortified by the robust capabilities of deep evolving convolutional Generative
НЕЙРОННАЯ СЕТЬ ДЛЯ ГЕНЕРАЦИИ 3D-КОНТЕНТА ОБРАЗОВАТЕЛЬНЫХ ПЛАТФОРМ
Ольховая А.М., Ромашкова О.Н.
specific algorithms and techniques, such as convolutional neural networks (CNNs) and generative
Generative Adversarial Networks in Medicine: A Scoping Review
Shcherbakov A.
adversarial networks (GAN) have demonstrated a huge potential for data augmentation by generating synthetic
ЭПИТАКСИАЛЬНЫЕ ТЕХНОЛОГИИ ВЫРАЩИВАНИЯ GaN
Захарова Т.И.
. Разобраны этапы получения пленок из GaN, который является ключевым материалом для современной СВЧ
On a class of multiplicative-convolution equations
Salekhova L., Chebotareva E.
multiplicative-convolution equations in space A'+, where A'+ is the space of distributions on ℝ, which
On a class of multiplicative-convolution equations
Salekhova L., Chebotareva E.
multiplicative-convolution equations in space A'+, where A'+ is the space of distributions on ℝ, which
Структура GaN транзисторов
Бондарев, А. А.
транзисторов GaN структуры и его сравнение с технологией.
Young's inequality for convolutions in Morrey-type spaces
Burenkov V.I., Tararykova T.V.
An analogue of the classical Young's inequality for convolutions of functions is proved in the case
Norm convolution inequalities in lebesgue spaces
Nursultanov E., Tikhonov S., Tleukhanova N.
We obtain upper and similar lower estimates of the (Lp,Lq) norm for the convolution operator
Evaluation Metrics and Multi-level GAN Approach for Medical Images
Kovbasa, G.
This article examined methods for using GANs in medicine, their prospects, as well as problems

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