Journals
Books
Articles by keyword autoencoder
Detecting internet attacks using a neural network

V.A. Zabelina, G.A. Savchenko, I.M. Chernenky, E.Yu. Silantieva

Bauman Moscow State Technical University (Moscow, Russia)

A New Method for Integrating a Deep Learning Module into Special Object Classification Software

P.O. Arkhipov1, S.L. Philippskih2, M.V. Tsukanov3

1–3 Branch Director, Orel Branch of the Federal Research Center “Computer Science and Control” of the RAS
(Orel, Russia)
1 arpaul@mail.ru, 2 philippsl@mail.ru, 3 tsukanov.m.v@yandex.ru

Comparative study of the effectiveness of autoencoders in anomaly detection tasks

V.E. Marley1, A.N. Terekhov2, Yu.A. Gatchin3, V.I. Milushkov4, N.N. Limansky5

1,4,5 Admiral S.O. Makarov State University of Marine and River Fleet (Saint Petersburg, Russia)

2 Saint Petersburg State University (Saint Petersburg, Russia)

3 ITMO National Research University (Saint Petersburg, Russia)

1 vmarley@mail.ru, 2 ant@tercom.ru, 3 gatchin1952@mail.ru, 4 info@sohoware.ru, 5 info@sohoware.ru

Deep learning based agricultural image segmentation

N.V. Gapon1, A.V. Puzerenko2, M.M. Zhdanova3, D.V. Rudoy4, R.R. Ibadov5

1–5 Don State Technical University, (Rostov-on-Don, Russia)

3 Research Laboratory "Modeling and Development of Intelligent Technical Systems of the AIC"  (Rostov-on-Don, Russia)

1 nikolay-rt@mail.ru, 2 mpismenskova@mail.ru

Detection of zero-day cyber attacks and zero-day malware using machine learning methods

O.I. Sheluhin1, S.Yu. Rybakov2, S.S. Zvezhinsky3

1-3 FSBEI HE “Moscow Technical University of Communications and Informatics (MTUCI)” (Moscow, Russia)

1 sheluhin@mail.ru; 2 svolkov97@gmail.com; 3 s.s.zvezhinskii@mtuci.ru