Моделирование, проектирование и оптимизация процессов промышленной 3D-печати

Данилин А. О.; Ибатулин М. Ю.; Мутина Е. И.; А. Ф. Каперко

Publications

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Моделирование, проектирование и оптимизация процессов промышленной 3D-печати

Системы управления и информационные технологии (Российская Федерация). 2023. № 4(94). С. 56–62.

Данилин А. О., Ибатулин М. Ю., Мутина Е. И., Kaperko A.

Research target: Computer Science Mechanics and Mechanical Engineering

Language: Russian

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Keywords: производство компьютерное зрение 3D-печать оптимизация процессов

МОДЕЛИРОВАНИЕ ПОСТРОЕНИЯ ТРАЕКТОРИИ ПОДВИЖНОГО ОБЪЕКТА НА ОСНОВЕ МЕТОДОВ МНОГОКРИТЕРИАЛЬНОЙ ОПТИМИЗАЦИИ

Lebedev O. B., Лебедев Б. К., Бесхмельнов М. И., Вестник Тверского государственного технического университета 2025 № 3(27) С. 103–119

The article presents a detailed analysis of a hybrid path-planning algorithm designed for navigation in a two-dimensional space, accounting for partial uncertainty regarding terrain information. The algorithm operates in stages and is divided into two levels. At the first level, the object's local visibility zone is established, and the corresponding region on the map is ...

Added: September 12, 2026

ГИБРИДНЫЙ МЕТОД ПЛАНИРОВАНИЯ КОНФИГУРАЦИИ МАРШРУТА НА КАРТЕ МЕСТНОСТИ В УСЛОВИЯХ ЧАСТИЧНОЙ НЕОПРЕДЕЛЕННОСТИ

Lebedev O. B., Лебедев Б. К., Бесхмельнов М. И., Известия ЮФУ. Технические науки 2025 Т. 2(244) С. 68–82

This paper describes a hybrid situational trajectory planning algorithm for 2D space operating under conditions of partial uncertainty. Based on the integration of wave-propagation and ant colony optimization algorithms, it enables the real-time generation of minimum-length trajectories while simultaneously optimizing other path quality criteria. The processes of generating a trajectory segment and moving the object ...

Added: September 12, 2026

OPTIMIZATION BY THE SWARM OF TRANSFORMING CHROMOSOMES METHOD

Lebedev O. B., Beskhielnov M. I., OPTIMIZATION BY THE SWARM OF TRANSFORMING CHROMOSOMES METHOD 2024 Vol. 34 No. 3 P. 652–658

A new strategy for finding effective solutions based on modification and hybridization of the canonical representations of the particle swarm algorithm is proposed. A paradigm of a swarm of transforming chromosomes is described, making it possible to represent solutions in the affine space of chromosomes with integer parameter values. The mechanisms of chromosome transformation in ...

Added: September 12, 2026

Использование методов машинного обучения для повышения эффективности систем противодействия многоэтапных кибератак

Lebedev O. B., Левченко Д. Д., Черкасов Р. И., Инженерный вестник Дона 2026 № 2(134) Статья 7

This article analyzes the impact of artificial intelligence (AI) and machine learning technologies on the development and transformation of cyberthreats and the creation of highly effective cyberdefense systems. Key trends in AI evolution are discussed, including data-, model-, application-, and human-centric approaches, and their role in shaping both defensive and offensive capabilities. It is shown ...

Added: September 12, 2026

Метод кодирования голосового источника турбулентного типа на основе гибридной модели линейного предсказания

Савченко В. В., Savchenko L., Измерительная техника 2026 Т. 75 № 3 С. 105–113

Within the framework of a current area of research in the field of speech acoustics – non-invasive analysis of speech production processes – the acute problem of insufficient accuracy of parametric methods for coding a turbulent (noise) type voice source is considered. In order to overcome this problem, a method for coding a sound source with increased ...

Added: September 11, 2026

Применение технологий компьютерного зрения в системах обработки визуальной информации

Lebedev O. B., Черкасов Р. И., Известия ЮФУ. Технические науки 2025 № 5(247) С. 254–276

This paper considers the application of artificial intelligence technologies, in particular computer vision, in visual information processing systems. A comprehensive analysis of neural network approaches to solving computer vision problems is carried out, including systematization of key types of problems: image classification, object detection and semantic segmentation. The architectural principles of convolutional neural networks are ...

Added: September 10, 2026

Dynamic Formation of Robot Movement Route in Nondeterministic Environment with Bypassing Stationary and Nonstationary Obstacles

Lebedev O. B., Beskhmelnov M. I., PATTERN RECOGNITION AND IMAGE ANALYSIS. ADVANCES IN MATHEMATICAL THEORY AND APPLICATIONS 2024 Vol. 34 No. 3 P. 543–548

The work describes a hybrid algorithm for the dynamic formation of a robot’s movement route in nondeterministic environments with bypassing stationary and nonstationary obstacles for two-dimensional space, based on the integration of wave and ant algorithms, which makes it possible to build trajectories of minimum length in real time with simultaneous optimization of a number ...

Added: September 10, 2026

Методы сбора данных средствами БПЛА при мониторинге труднодоступной местности

Lebedev O. B., Лебедев Б. К., Известия ЮФУ. Технические науки 2026 № 2(250) С. 151–173

This paper proposes a methodology and method for constructing a model of the study area as a finite set of zones (sections) covering it, characterized by the fact that all sections are rectangular. The paper examines methods for forming a minimal set of sections on a large field that completely cover the accessible territory surveyed ...

Added: September 10, 2026

Модель глубокого обучения для автоматизированной интерпретации медицинских электрофизиологических данных

Lebedev O. B., Шмелева А. Г., Гежа Н. С., Информатика и автоматизация (Труды СПИИРАН) 2026 Т. 25 № 3 С. 720–750

This paper describes the development of a neural network model for automated analysis of medical data in electrophysiology based on deep learning methods. The relevance of this work stems from the growing need to improve the objectivity, speed, and accuracy of processing complex spatiotemporal signals, such as ECG or EEG. Convolutional neural networks (CNNs), which ...

Added: September 10, 2026

What Do Text-to-Image Models Know About the Languages of the World?

Фирсанова В. И., Journal of Mathematical Sciences 2024 Vol. 285 No. 1 P. 112–125

Text-to-image models use user-generated prompts to produce images. Such text-to-image models as DALL-E 2, Imagen, Stable Diffusion, and Midjourney can generate photorealistic or similar to human-drawn images. Apart from imitating human art, large text-to-image models have learned to produce combinations of pixels reminiscent of captions in natural languages. For example, a generated image might contain ...

Added: September 9, 2026

Разработка интерфейса виртуального ассистента преподавателя на основе технологий вызова функций и инженерии инструкций для больших языковых моделей

Фирсанова В. И., Человек: образ и сущность. Гуманитарные аспекты 2025 Vol. 2 No. 62 P. 203–214

Abstract. The paper highlights prompt engineering in academic setting to reduce plagiarism and increase students' interest. The research problem is the lack of a unified methodology for using artificial intelligence in education. The paper aims to create a generative artificial intelligence user interface, the Virtual Teaching Assistant. Teachers were interviewed, the first collection of presets ...

Added: September 9, 2026

Анализ согласованности голосования стран ЕАЭС и ОДКБ в ГА ООН с помощью иерархической кластеризации

Вохминцев И. В., Вестник международных организаций: образование, наука, новая экономика 2026 Т. 21 № 2

The EAEU and the CSTO are Russia’s principal regional international organisations. Understanding, assessing, and analysing the foreign-policy positions of the countries that belong to them is a matter of the state’s national interests. This determines the purpose of the study: to identify the level and the form of cohesion in the voting of EAEU and ...

Added: September 7, 2026

Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach

Alshanskaia E., Portnova G., Liaukovich K. et al., Frontiers in Neuroscience 2024 Vol. 18

Added: September 7, 2026

Oil Spill Segmentation in SAR Data Using ViT-UNet: Performance and Practical Insights

Зуенко Д. О., Trofimova E., Хайдарова И., IEEE Access 2026 Vol. 14 P. 121339–121357

Oil spill segmentation in Synthetic Aperture Radar (SAR) images is limited by noisy annotations in publicly available datasets and by architectural choices that interact with label quality in opposing directions. First, we introduce a manually refined version of the Deep-SAR Oil Spill (SOS) dataset, in which 36.25% of masks are corrected for false positives, missed ...

Added: September 7, 2026

Variational representation of weighted divergencies and error exponent function

Kelbert M., Statistics 2026 Vol. 60

We present variational representations for the weighted divergencies and exponential error function, and discuss implications for the statistical inference and entropic optimal transport. ...

Added: September 7, 2026

Scalable machine learning approach to disordered s-wave superconductors

Неверов В. Д., Красавин А. В., Vagov A. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 P. 1–6

We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...

Added: September 5, 2026

On the rate of Gaussian approximation for online linear regression problems

Sheshukova M., Durmus A., Khusainov M. et al., Statistics 2026 P. 1–25

In this paper, we consider the problem of Gaussian approximation for the online linear regression task. We derive the corresponding rates for the setting of a constant stepsize and study the explicit dependence of the convergence rate on the problem dimension d and quantities related to the design matrix. When the number of iterations n is known in advance, ...

Added: September 4, 2026

Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), PMLR Volume 337, 17-21 August 2026, KIT, Amsterdam, the Netherlands

Proceedings of Machine Learning Research , 2026.

Added: September 4, 2026

A unified frequency-domain framework for tilted slice localization and ischemic stroke detection

Khodadoust J., Kulikova S., Khodadoust F., Biomedical Signal Processing and Control 2027 Vol. 129 P. 111284–111284

Acute ischemic stroke (AIS) analysis from two-dimensional (2D) clinical imaging is hindered by uncontrolled slice tilt and geometric inconsistencies that violate the assumptions of pose-agnostic deep learning (DL) models. This paper proposes a unified geometry-aware, frequency-domain framework for tilted slice localization and ischemic stroke segmentation that explicitly decouples pose estimation from lesion analysis. The method ...

Added: September 2, 2026

Proceedings of the 2026 Fourth International Conference on Distributed Computing and High Performance Computing (DCHPC)

IEEE, 2026.

On behalf of the Organizing Committee, it is my great pleasure to extend a warm welcome to all participants of the Fourth International IEEE Conference on Distributed Computing and High-Performance Computing (DCHPC 2026), held in Tehran from May 10–11, 2026. This conference is jointly organized by the School of Computer Science at the Institute for Research in Fundamental Sciences (IPM) ...

Added: September 2, 2026

Discrete Markowitz Portfolio Optimization with Open-Source Classical and Quantum-Inspired Solvers: A Cross-Market Walk-Forward Study

S.M. Avdoshin, Patrushev K. A., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4-2 P. 245–256

The cardinality-constrained Markowitz problem is NP-hard and traditionally solved with commercial MIQP solvers. Following the 2022 export restrictions that rendered both commercial MIQP software and cloud quantum platforms (IBM Quantum, D-Wave Leap) inaccessible from the Russian Federation, practitioners require open-source alternatives. This paper systematically compares three solver families for the discrete mean-variance problem: two open-source ...

Added: August 27, 2026

Human Tracking Algorithm Evaluation with Digital Human Models in Gazebo

Gamberov T., Safin R., Chebotareva E. et al., , in: 2025 9th International Conference on Information, Control, and Communication Technologies (ICCT-2025).: IEEE, 2025. P. 1–5.

Digital human models (DHM) for virtual environments allow a cost-effective and reproducible evaluation of computer vision algorithms that are employed in robotics, e.g., human detection, tracking and following. Yet, many popular robotics simulators do not achieve a reasonable level of realism and diversity required to rigorously test such algorithms under varying conditions. This paper introduces ...

Added: June 23, 2026

ГрафиКон 2025 : материалы 35-й Международной конференции по компьютерной графике и машинному зрению (Россия, Йошкар-Ола, 30 сентября – 2 октября 2025 г.)

Йошкар-Ола: Поволжский государственный технологический университет, 2025.

Представлены материалы 35-й Международной конференции «ГрафиКон 2025», проходившей на базе Поволжского государственного технологического университета. В сборник вошли доклады участников конференции, посвященные методам и технологиям компьютерного анализа изображений, визуальной и когнитивной аналитики, 3D-реконструкции, визуальной навигации и человеко-машинного взаимодействия, виртуальной и дополненной реальности, распознавания образов и др. Издание адресовано сотрудникам научно-исследовательских и образовательных организаций, специалистам предприятий ИТ-индустрии, аспирантам, студентам. ...

Added: February 21, 2026

Генерация правдоподобных снимков микроструктур композитного сплава WC/Co при помощи нейронных сетей

Kagramanyan D., В кн.: ТЕЗИСЫ XXVI ВСЕРОССИЙСКОЙ КОНФЕРЕНЦИИ МОЛОДЫХ УЧЁНЫХ ПО МАТЕМАТИЧЕСКОМУ МОДЕЛИРОВАНИЮ И ИНФОРМАЦИОННЫМ ТЕХНОЛОГИЯМ.: [б.и.], 2025.

Исследование статистических свойств микроструктур композитных материалов проводится путем анализа микрофотографий срезов материала. Часто анализ снимков может быть ограничен из-за малого размера выборки снимков. В работе исследуется возможность создания искусственных микроструктур с помощью генеративных нейронных сетей: диффузионная сеть и GAN. Мы хотим ответить на вопрос, можно ли при помощи генеративных сетей усиливать статистические свойства исходных данных. ...

Added: February 8, 2026