Journal Neurocomputers №2 for 2026 year
SYSTEM ANALYSIS AND INTELLIGENT INFORMATION PROCESSING
Hardware accelerator for vision transformer inference on programmable logic using microscaling integer format

O.V. Zobov1, A.A. Spiridonov2
1,2 JSC «SPC «Kryptonite» (Moscow, Russia)

1 o.zobov@kryptonite.ru, 2 a.spiridonov@kryptonite.ru

5-20
Development of a basic architecture of an automated system for predictive maintenance and assessment of the remaining useful life of industrial equipment

A.Yu. Chesalov1, S.V. Gromov2
1, 2 Atlansis Software LLC (Tver, Russia)

1 achesalov@mail.ru, 2 s.gromov.dev@gmail.com

21-33
Domain-invariant malware classification method based on a multiview transformer

A.A. Abedalhussain1, E.V. Liapuntsova2
1, 2 National University of Science and Technology “MISIS” (Moscow, Russia)

1 m2000009@edu.misis.ru, 2 liapuntsova.ev@misis.ru

34-43
NEUROCOMPUTING SYSTEMS AND THEIR ELEMENTS
Comparison of performance of neural network models of computer vision applied to tensor processors

M.A. Kukushkin1, P.A. Ukhov2
1, 2 Moscow Aviation Institute (National Research University)

1 cnegbyj99@mail.ru, 2 ukhovpa@mai.ru

44-50
INTELLIGENT COMPLEXES AND SPECIAL PURPOSE SYSTEMS
51-69
Concept of adaptive production automation architecture with local and cloud components based on edge artificial intelli-gence and a multi-agent system

I.I. Naumov1, D.Yu. Konshin2, K.A. Moroz3
1–3 Don State Technical University (Rostov-on-Don, Russia)

1 naumov-85@yandex.ru, 2 danill.konshin@yandex.ru, 3 kmoroz@donstu.ru

70-77
Review of artificial intelligence methods for video content generation and their application in building digital twins of situation centers

A.S. Sebyakin1
1 Financial University under the government of Russian Federation (Moscow, Russia)

1 249702@edu.fa.ru

78-84
Instrumental methods of information systems management

L.S. Zvyagin1
1 Financial University under the government of Russian Federation (Moscow, Russia)

1 lszvyagin@fa.ru

85-99
NEUROINFORMATICS AND INFORMATION PROCESSES
Feature analysis and implementation of a neural network using NVIDIA CUDA technology

S.S. Svyatkin1, A.K. Vishnevsky2, I.K. Novikov3, I.V. Svinchuk4
1–4 Russian Technological University MIREA (Moscow, Russia)

1 svyatkin.s.s@edu.mirea.ru, 2 vishnevskij@mirea.ru, 3 novikov_ik@mirea.ru, 4 svinchuk@mirea.ru

100-110