He, X.,
Wang, Z.,
Li, Y.,
Khazhina, S.,
Du, W.,
Wang, J.,
Wang, W. (2022) accurate than three common methods (Encoder-Decoder
Recurrent Neural
Network, Bidirectional Long Short
of the reliability analysis of power distribution
networks. With the help of deep learning, which has
algorithm, for example, a neural
network model in decision-making system to avoid possible mistakes in a
The article considers the use of deep neural
networks for the recognition of lungs inhomogeneity
LIU, Z.,
WANG, X.,
YANG, G.,
ZHONG, C.,
ZHANG, R.,
YE, J.,
ZHONG, Y.,
HU, J.,
OZAL, B.,
ZHAO, S. (2020) RNA-related ceRNA regulatory
network, in glioblastoma (GBM) has not been fully elucidated. The goal
Multilayer Convolutional Neural
Network Computer Vision Is Effective in Automatic OCT Image
The article discusses the use of deep neural
networks for analysis and recognition of images
Wang, Chunlei,
Beylerli, Ozal,
Gu, Yan,
Xu, Shancai,
Ji, Zhiyong,
Ilyasova, Tatiana,
Gareev, Ilgiz,
Chekhonin, Vladimir (2024) analysis was performed. Additionally, a protein-protein interaction
network (PPI) was constructed, followed
Xu, Dongxiao,
Gareev, Ilgiz,
Beylerli, Ozal,
Pavlov, Valentin,
Le, Huang,
Shi, Huaizhang (2024) differentially expressed mRNAs (DEGs) were pinpointed concerning IA. Subsequently, a miRNA-mRNA
network