Журнал - CYBERNETICS AND PHYSICS / 2025 год / Выпуск № 2 — Институт Проблем Машиноведения РАН ( ИПМаш РАН )

Development of a retinal pathology classification model using transfer learning and open datasets

Авторы:

Lyubov Aksenova , Kirill D. Aksenov , Anton V. Prisyazhnyuk , Victoria V. Myasnikova , Andrey V. Krasov

Страницы:

095-102

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-95-102

Optimal boundary control of string vibrations with intermediate values of the deflection function under minimization of the boundary energy integral

Авторы:

Vanya Barseghyan , Svetlana Solodusha , Evgeniia Markova

Страницы:

103–115

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-103-115

Nonlinear analysis of interhemispheric connectivity in the pentylenetetrazol rat model of spike-wave discharges

Авторы:

Anastasia Grishchenko , Anastasia Dzhafarova , Elena Suleymanova , Marina V. Sysoeva , Ilya V. Sysoev

Страницы:

116–126

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-116-126

Unified intelligence in ophthalmology: a comprehensive review of a single framework for predicting multiple eye diseases

Авторы:

Anitha J , Sreenivasa Chakravarthi Sangapu

Страницы:

127–136

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-127-136

Roughness effects on two-dimensional turbulent convection: heat transport, flow reversals, and machine learning analysis

Авторы:

V. Kavitha , Seelam Sunitha Devi , Balla Chandra Sekhar

Страницы:

137–147

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-137-147

Control of direct current motors with guaranteed speed maintenance in given bounds

Авторы:

Ba Huy Nguyen , Данг Тхе Донг , д.т.н. Фуртат И.Б. , Pavel Gushchin , Anh Quan Dao , Tung Duong Mai

Страницы:

148–153

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-148-153

Cubic trigonometric chaotic systems for high-quality pseudo-random number generation

Авторы:

Mokhtar Ouamri

Страницы:

154–161

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-154-161

A simple algorithm for output range analysis for deep neural networks

Авторы:

Helder Rojas , Nilton Rojas , J. B. Espinoza , Luis Huamanchumo

Страницы:

162–173

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-162-173

Limit cycles and period-doubling bifurcations in a van der pol–type triple pendulum with spring coupling

Авторы:

Natarajan Shriethar

Страницы:

174–190

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-174-190

Parameter identification of discrete-time linear stochastic systems based on decentralized square-root information filtering

Авторы:

Andrey Tsyganov , Julia Tsyganova

Страницы:

191–199

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-191-199

Artificial neural network surrogates for impact problem simulations

Авторы:

Yuyi Zhang , Andrey Logachov , Aleksandr Smirnov , д.ф.м.н. Казаринов Никита Андреевич

Страницы:

200–213

ДОИ (doi):

https://doi.org/10.35470/2226-4116-2025-14-2-200-213

МИНОБРНАУКИ РОССИИ
Федеральное государственное бюджетное учреждение науки
Институт проблем машиноведения Российской академии наук

Выпуск № 2

Development of a retinal pathology classification model using transfer learning and open datasets

Optimal boundary control of string vibrations with intermediate values of the deflection function under minimization of the boundary energy integral

Nonlinear analysis of interhemispheric connectivity in the pentylenetetrazol rat model of spike-wave discharges

Unified intelligence in ophthalmology: a comprehensive review of a single framework for predicting multiple eye diseases

Roughness effects on two-dimensional turbulent convection: heat transport, flow reversals, and machine learning analysis

Control of direct current motors with guaranteed speed maintenance in given bounds

Cubic trigonometric chaotic systems for high-quality pseudo-random number generation

A simple algorithm for output range analysis for deep neural networks

Limit cycles and period-doubling bifurcations in a van der pol–type triple pendulum with spring coupling

Parameter identification of discrete-time linear stochastic systems based on decentralized square-root information filtering

Artificial neural network surrogates for impact problem simulations

Контакты