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2018 proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018),Bruges (Belgium), 25-27 April 2018
ESANN, 2018.
2018 proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018),Bruges (Belgium), 25-27 April 2018 discusses the problems of deep learning and image processing, regression and recommendation systems, Extreme Minimal Learning Machine, Neural networks, Facial emotion recognition.
Chapters
Khanzhina N., Putin E., Filchenkov A. et al., , in: 2018 proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018),Bruges (Belgium), 25-27 April 2018.: ESANN, 2018. P. 409–414.
This paper addresses two problems: the automated pollen
species recognition and counting them on an image obtained with a lighting
microscope. Automation of pollen recognition is required in several
domains, including allergy and asthma prevention in medicine and honey
quality control in the nutrition industry. We propose a deep learning solution
based on a convolutional neural network for classification, feature
extraction ...
Added: January 21, 2019
Aleksei Samarin, Aleksei Toropov, Dzestelova A. et al., , in: Proceedings of the 35th Conference of Open Innovations Association FRUCT, Tampere, Finland, 24-26 April 2024Vol. 35.: FRUCT Oy, 2024. P. 659–664.
This research endeavor is dedicated to the integration of specialized attentional mechanisms within the intricate web of deep neural network architectures aimed at discerning indications of lung carcinoma from monochromatic snapshots derived from computerized axial tomography. Within this exploration, we propose a myriad of adaptations to the traditional non-local blocks, infusing them with bespoke attentional ...
Added: September 19, 2026
Starodubov K., Елистратов А. А., Громов Ю. Ю. et al., ИД Академии Жуковского, 2026.
The textbook is intended for preparing and completing practical assignments on biometric identification and the protection of biometric data. The theoretical part briefly presents the information required for the practical work: basic concepts and quality metrics, voice and facial modalities, regulatory framework and the Unified Biometric System, the mathematical foundations of template protection, and the ...
Added: September 19, 2026
Wind Turbines Surface Damage Automatic Detection Using YOLOv8 with Specialized Backbone Modification
Aleksei Samarin, Mamaeva A., Aleksei Toropov et al., , in: Proceedings of the 36th Conference of Open Innovations Association FRUCT, Helsinki, Finland, 30 October - 1 November 2024Vol. 36.: FRUCT Oy, 2024. P. 702–710.
This work is devoted to incorporating specialized self-attention blocks into deep neural network-based models for detecting and quantifying damage across various components of wind turbines using images captured by unmanned aerial vehicle cameras. In our study, we introduce YOLOv8 backbone modification using a specialized self-attention mechanism, tailored to the specific characteristics of the input data. ...
Added: September 19, 2026
Кузнецов М. Е., Полякова М., Лукьянович В. et al., ФАНУ "Востокгосплан", 2026.
Обзор международных практик развития робототехники и искусственного интеллекта и оценка возможностей их применения в условиях России, в первую очередь для Дальнего Востока и Арктической зоны РФ ...
Added: September 16, 2026
Starodubov K., Кривоногов А. А., Плоткин А. С. et al., Нано-био-технологии. Тепло- и электроэнергетика. Математическое моделирование: сборник статей III международной научно-практической конференции (Липецкий государственный технический университет, Липецк, Россия) 2025 С. 300–309
The paper considers the problem of assessing the criticality of defects in smart contracts, defines the constituent parameters of criticality of defects and substantiates their representation in the form of LR-type fuzzy numbers. An approach based on the use of LR-type fuzzy numbers and nonlinear optimization methods is proposed to assess the criticality of defects ...
Added: September 7, 2026
Starodubov K., Гвасалия Г. В., Карасев П. И., Нано-био-технологии. Тепло- и электроэнергетика. Математическое моделирование: сборник статей III международной научно-практической конференции (Липецкий государственный технический университет, Липецк, Россия) 2025 С. 219–223
This paper discusses the concept of neural networks, convolutional neural networks, their architecture and their operation principle. The main attention is paid to testing the reliability of storing images of people as embeddings, which are considered to be unrecoverable in the original image. In the course of the research an experiment is carried out: the ...
Added: September 6, 2026
Starodubov K., Шейкин В. В., Карасев П. И., XXI век: итоги прошлого и проблемы настоящего плюс 2026 Т. 15 № 2 (74) С. 20–25
The paper addresses the problem of formalized description of intruder behavior in government information systems. An approach based on hidden Markov models is proposed for modeling the actions of an intruder, where the stages of malicious activity are interpreted as hidden states and the events registered by the system are treated as observable symbols of ...
Added: September 6, 2026
Starodubov K., Максимова Е. А., Утешева Г. Ш. et al., Научно-аналитический журнал "Вестник Санкт-Петербургского университета Государственной противопожарной службы МЧС России" 2026 № 2 С. 92–103
When data are incomplete, standard fuzzy data mining methods face an unacceptable trade-off: deleting objects with missing values loses up to a third of the sample and introduces systematic bias under the MAR mechanism, while mean imputation destroys the covariance structure and produces rules with artificially inflated support. This paper proposes a different solution - ...
Added: September 6, 2026
Bubnova M., Chetverikov V., Pozhidaev E., Информационные технологии 2026 Т. 32 № 8 С. 404–413
A specialized methodology was developed, computer modeling was conducted, and a comparative analysis was performed for autonomous control methods for small spacecraft, differing in how the nonlinearity of the initial stabilization problem is taken into account:
— control constructed using a system of linear differential equations (SLDE);
— control constructed using SLDE applied to a more general ...
Added: September 2, 2026
Шейкин В. В., Starodubov K., Безопасность. Управление. Искусственный интеллект 2026 Т. 3 № S3 С. 47–57
The article proposes a formal apparatus for risk analysis in information systems based on the apparatus of fuzzy logic, graph theory and matrices. A system of definitions is introduced that includes a universe of entities, sets of violators and destructive influences, as well as membership functions describing the fuzzy relationships between them. A risk calculation ...
Added: August 29, 2026
Воронеж: Издательский дом ВГУ, 2026.
В сборник вошли материалы XXXII Международной научно-технической конференции «Радиолокация, навигация, связь» (RLNC*2026), прошедшие ре цензирование членами программного комитета конференции. Основной целью конференции является организация взаимодействия научных и научно технических коллективов для обмена опытом и новыми творческими успехами. Достижение этой цели также способствует внедрению перспективных разрабо ток, имеющих практическое значение для дальнейшего развития промышленно сти, экономики ...
Added: August 29, 2026
Romanov A., Физулин А. В., Stepanyants V., Московский транспорт. Наука и проектирование 2026 № 2 С. 77–90
The behaviour of connected automated vehicles in implementing cooperative safety functions
depends on the timely exchange of V2X messages. At the same time, the end-to-end impact of 5G NR-V2X
Mode 2 message delivery failures on vehicle behaviour requires evaluation not only by aggregated network
metrics but also by the timeliness of V2X message arrival within the time window ...
Added: August 25, 2026
Белгородский государственный технологический университет им. В.Г. Шухова, 2026.
В сборнике опубликованы доклады студентов, аспирантов и молодых ученых, представленные по результатам проведения Международной научно-технической конференции молодых ученых БГТУ им. В.Г. Шухова. Материалы статей могут быть использованы студентами, магистрантами, аспирантами и молодыми учеными, занимающимися вопросами энергоснабжения и управления в производстве строительных материалов, архитектурных конструкций, электротехники, экономики и менеджмента, гуманитарных и социальных исследований, а также в ...
Added: August 19, 2026
Междуреченск: Кузбасский государственный технический университет им. Т.Ф. Горбачева, 2026.
В сборнике представлены материалы докладов по направлениям Международной научно-практической конференции «Современные тенденции и инновации в науке и производстве»: 1. Технологии и инновации в горной промышленности; 2. Экономика, управление, финансы; 3. Информационные системы и технологии; 4. Юный исследователь. Целью этой конференции является обмен передовым опытом, повышения квалификации их участников и, вместе с тем, это способ установления и укрепления научного сотрудничества среди ...
Added: August 11, 2026
Scientific publishing house Infinity, 2026.
These Conference Proceedings combine materials of the conference –
research papers and thesis reports of scientifi c workers. They examine technical,
juridical and sociological aspects of research issues. Some articles deal
with theoretical and methodological approaches and principles of research
questions of personality professionalization. ...
Added: July 24, 2026
IEEE, 2025.
The 9th International Scientific Conference on Information, Control, and Communication Technologies (ICCT-2025) had been held October 7-11, 2025 in Gomel, Belarus. The main technical areas and applications covered by the proceedings are optoelectronics, acousto-optic, microwave technology, antenna systems, measuring technology, metamaterials, nanostructures, nanofilms, photonic crystals, biology and medicine, biophotonics, bioengineering, neural networks in communication technologies; ...
Added: June 23, 2026
Plotnikov S., Альманах современной метрологии 2024 № 2(38) С. 140–149
The results of the analysis of data collected by the method of expert questioning of Russian scientific metrological institutes’ employees, as well as buyers of measuring instruments, are presented. ...
Added: May 21, 2026
Апрелев А. В., Пивоварова Н. И., Plotnikov S. et al., Альманах современной метрологии 2022 № 2(30) С. 94–101
The results of the analysis of data from the Federal Information Fund for Ensuring the Uniformity of Measurements in terms of oscilloscopes are presented. ...
Added: May 21, 2026
Stepanyants V., Хорошилов Г. С., Долгов И. М. et al., Труды Института системного программирования РАН 2026 Т. 38 № 3 С. 95–110
Highly automated and connected vehicles are gradually entering the market. Currently, solutions are being proposed that allow these technologies to be used for cooperative driving automation, which can significantly improve traffic safety. Such technologies and their software should be tested to ensure safety before being implemented in real systems. Verification and validation of vehicular control ...
Added: May 12, 2026
Alexander Demidovskij, Artyom Tugaryov, Igor Salnikov et al., , in: PRICAI 2025: Trends in Artificial Intelligence: 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17–21, 2025, Proceedings, Part IIIVol. 16453.: Springer, 2026. P. 603–612.
The backpropagation method is the predominant method for pre-training and fine-tuning of Large Language models. At the same time, it is considerably demanding in terms of memory and hardware. Therefore, it makes fine-tuning and pre-training very expensive, harmful for the environment due to the large carbon footprint, and raises the blocks for the development of ...
Added: April 21, 2026
Springer, 2026.
This proceedings contain the papers presented at the 22nd Pacific Rim International Conference on Artificial Intelligence (PRICAI), held on November 17–21, 2025 in Wellington, New Zealand. PRICAI 2025 was co-hosted with the 40th International Conference on Image and Vision Computing New Zealand (IVCNZ 2025) and the annual conference of the New Zealand Artificial Intelligence Researchers ...
Added: April 21, 2026
Bernadotte A, Elfimov N., Menshikov I., Scientific data 2025 Vol. 13 No. 41
Accurate segmentation of brain vessels in magnetic resonance angiography (MRA) is essential for surgical procedures. Neural networks are powerful tools for medical image segmentation, but their development requires well-annotated datasets. However, publicly available MRA datasets with detailed vessel annotations are scarce. We present a dataset of 100 manually annotated brain MRA images from the IXI ...
Added: February 25, 2026
Antipkina I., Иванущенко А. В., Калабина И. А. et al., Мир психологии. Научно-методический журнал 2025 № 4(123) С. 295–316
Low-quality test items pose significant risks of biased and inaccurate assessment in higher education. In this study, multi-disciplinary test banks were examined, first, using classical test theory and then using a Large Language Model (Grok). Our findings reveal a number of problems in university test items due to methodological shortcomings rather than content inaccuracies. Based ...
Added: January 22, 2026
Yasnitsky L., Голдобин М. А., Прикладная информатика 2025 Т. 20 № 3(117) С. 85–100
Currently, artificial intelligence methods are widely used in the practice of serial production enterprises. They are used to detect defects, classify and eliminate them, identify the causes of defects, predict the quality and properties of the resulting product, select optimal parameters of the production process, and identify and study its patterns. However, outside the field ...
Added: July 10, 2025