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Application of intellectual DSS to medium-term forecasting of the sea ice area in the Northern Hemisphere
Ch. H4. P. 251–256.
Oleg Bukharov, Dmitry Bogolyubov, Fedorov V., Grebennikov P.
The paper is devoted to the description of a new multi-purpose intellectual decision support system. We present the algorithms used and the results achieved in applying the system to analyzing and forecasting the sea ice area in the Northern Hemisphere. The impact of solar radiation on the changes in the sea ice area was confirmed. Application of interval neural nets to medium-term forecasting of sea ice area changes was justified.
In book
Lublin: ToKnowPress, 2015.
Щербинин С. А., Корзникова Е. А., Дмитриев С. В. et al., Physics Letters A 2026 Vol. 591 Article 131884
In this work, a simple genetic algorithm (GA) is used to find and characterize different QBs in a 𝛽-FPUT chain. By considering the space of initial particle displacements as a global optimization landscape, GA maximizes the energy localization function by automatically evolving candidate states toward highly localized long-lived solutions without a priori symmetry assumptions. 200 ...
Added: September 28, 2026
Aleksei Samarin, Aleksei Toropov, Dzestelova A. et al., , in: Proceedings of the 35th Conference of Open Innovations Association FRUCT, 24-26 April 2024, Tampere, FinlandIssue 1.: 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
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
Dvoynikova A., Кагиров И., Карпов А. А., Информационно-управляющие системы 2022 № 5 (120) С. 12–22
Введение: решение автоматическими средствами задачи распознавания и оценивания степени вовлеченности пользователя в процесс человеко-машинного взаимодействия или телекоммуникации является актуальным в области компьютерного распознавания состояний человека. Это необходимо для проектирования приложений дистанционного обучения, бизнеса и развлечений. Цель: провести сравнительный анализ существующего информационного обеспечения и методов в области автоматического распознавания и оценивания вовлеченности пользователя в процесс человеко-машинного ...
Added: April 24, 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
Faizullin R., Imamov N., Tsoy T. et al., , in: Proceedings of the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), Volume 1. Robotics in Agriculture. (SIST, volume 453).: Springer, 2026. P. 25 – 34.
This article considers a dual problem of optimizing field coverage while minimizing a soil compaction and managing energy constraints of agricultural robots. The soil compaction in precision agriculture is a major challenge, as mobile robots are becoming increasingly common in field operations. A proposed optimization combines a soil compaction risk assessment with energy-efficient trajectory planning ...
Added: March 17, 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
Elizaveta Lashkevich, Zelenkov Y., IEEE Access 2026 Vol. 14 P. 20084–20099
While machine learning models have achieved high accuracy in predicting firm financial failure (FFF), they often function as “closed boxes” that fail to provide actionable guidance for decision-makers. Existing counterfactual explanation methods typically operate in the space of financial ratios (FR), neglecting fundamental accounting identities and implementation costs, thereby producing recommendations that are theoretically valid ...
Added: February 20, 2026
Ovsepyan E., Dorokhova E., Ovsepyan Y. et al., Journal of Marine Systems 2025 Vol. 252 Article 104140
Grain-size analyses, end-member modeling, X-ray fluorescence, and radionuclide activity measurements were conducted on sediment minicores collected from the middle-outer shelf of the East Siberian Sea (ESS) and the upper part of the adjacent continental slope to elucidate the sedimentation mechanisms in this poorly studied region. The grain-size data demonstrate that clayey silt and silt strongly ...
Added: February 14, 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
Gorodilov A., Сидоренко Д. О., Вестник Пермского университета. Серия: Математика. Механика. Информатика 2021 № 4(55) С. 43–48
В статье описан подход к решению задачи маршрутизации транспорта на основе подвижного генетического алгоритма. Подвижные генетические алгоритмы отличаются от классических более гибкой схемой кодирования решений, что актуально для задач со сложной структурой решения. В статье приведена математическая постановка задачи. Авторами предложено два варианта кодирования особей, а также алгоритм пересчета вероятностей, формирующих хромосому в подвижном генетическом ...
Added: November 20, 2025
Melman A., Evsyutin O., Knowledge-Based Systems 2025 Vol. 329 No. B Article 114429
Embedding additional information into digital images is an effective method of data privacy protection. A data hiding scheme needs to have a high level of imperceptibility to provide a high level of security. At the same time, it is necessary to maintain good capacity and ability to extract information in its original form. In this ...
Added: September 9, 2025
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
Podchufarov A., Galkina A. N., Ванина С. С. et al., Экономика и управление: проблемы, решения 2025 Т. 5 № 4 С. 61–74
Under modern conditions, the introduction of artificial intelligence technologies is becoming a significant factor in the development of high-tech industries. The article presents the results of a study of the prospects for the use of intelligent analytical systems in nuclear energy. The experience of foreign countries is analyzed and the features of successful projects using ...
Added: June 5, 2025
Melman A., Senyukova O., Evsyutin O., В кн.: Инжиниринг и телекоммуникации - EN&T 2024: сборник тезисов XI международной конференции.: МФТИ, 2024. С. 147–149.
Применение цифровых водяных знаков (ЦВЗ) является перспективным средством защиты авторских прав на цифровой контент. В этом исследовании предлагается новый алгоритм невидимого встраивания ЦВЗ в гибридную пространственно-частотную область изображений с применением метаэвристической оптимизации, который отличается устойчивостью к различным атакам обработки изображений, включая JPEG-сжатие. ...
Added: April 21, 2025
Melman A., Evsyutin O., Senyukova O., Компьютерная оптика 2025 Т. 49 № 2 С. 273–281
The widespread use of digital content makes the task of protecting author’s and owner’s rights increasingly important, in particular with regard to digital images. Digital watermarking technology is an effective tool that solves many problems associated with proving authorship of images, verifying authenticity, and tracking illegal copying. An effective watermarking algorithm requires achieving high levels ...
Added: March 8, 2025
Sadrtdinov I., Kodryan M., Pokonechny E. et al., , in: 38th Conference on Neural Information Processing Systems (NeurIPS 2024).: [б.и.], 2024. P. 58445–58479.
Added: February 19, 2025