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Проектирование и разработка модуля для расчёта начального рейтинга транспортного перевозчика с использованием алгоритмов машинного обучения
С. 94–102.
Bulychev A., Сомов О. Д.
In the process of developing an information system for logistics transportation, there is a need to determine the initial rating of the new carrier within the parent company. The presence of the rating helps to more accurately carry out the formation of orders and build forecasts of its interaction with the parent company in the future
Keywords: логистикарейтингмашинное обучениеmanagementуправлениеавтоматизацияпринятие решенийсистемный анализклассификацияметод главных компонентlogisticsсложные системыratingautomationsystem analysismachine learningclassificationcomplex systemsdecision makingclassification treesрешающие деревьяслучайный лесprincipal component methodGradient boostingградиентный бустингrandom forest
In book
Ростов н/Д: Ростовский государственный экономический университет "РИНХ", 2018.
Fomina Y., Guseva M. N., Izz Eldin A. M., Scientific and Technical Information Processing 2026 Vol. 53 No. 2 P. 155–161
This study examines the potential of artificial intelligence (AI) to improve the effectiveness of the World Food Program (WFP). Focusing on complex humanitarian situations, it explores the ability of AI to address operational inefficiencies by streamlining logistics, reducing costs, and improving decision-making in crises. It begins by developing a conceptual framework based on case studies ...
Added: October 10, 2026
Konstantinov A., Elizarova Anastasiya P., Utkin L., Computing, Telecommunications and Control 2026 Vol. 19 No. 1 P. 16–25
Decision trees and their ensemble extensions, such as random forests, are widely used as classification models due to their simplicity and interpretability. However, in many real-world tasks where class labels overlap in the feature space, standard decision trees rely on hard splits that create fragile decision boundaries. In these regions, small perturbations in the input ...
Added: October 2, 2026
International Joint Conferences on Artificial Intelligence, 2026.
Added: October 1, 2026
Knyazeva H., МЕТОД: Московский ежегодник трудов из обществоведческих дисциплин 2025 Т. 5 № 4 С. 176–182
This article analyzes the creative personality and thinking style of Vladimir Ivanovich Arshinov, as well as his distinctive contribution to the philosophy of science – the concept of complexity as an observer embedded in the complexity of the world. Arshinov conceptualized complexity as a key characteristic of self-organizing systems within the context of post-non-classical science ...
Added: October 1, 2026
Portnoy S., Efremov A., Кузьмин В. В., В кн.: Распределенные компьютерные и телекоммуникационные сети: управление, вычисление, связь (DCCN-2026): материалы XXIX Международной научной конференции. Россия, Москва, 21–27 сентября 2026 г.: М.: РУДН, 2026..
В работе рассматривается возможность улучшения помехоустойчивости каскадного кода, состоящего из внутреннего кода Хэмминга (4,3) и внешнего кода Рида — Соломона (7,5) над полем GF(8), за счёт дополнительной кор рекции ошибок на основе машинного обучения. Внешний код декодируется списочным алгоритмом с перебором стираний; рассматриваются списки дли ной 5 и 10 комбинаций. Для компенсации потерь помехоустойчивости при ...
Added: September 26, 2026
Torres-Pérez I., Rosete A., Sosa Gómez G. et al., IFAC-PapersOnLine 2022 Vol. 55 No. 10 P. 2228–2233
Added: September 18, 2026
González-Flores L., Rubiano-Moreno J., Sosa Gómez G., Frontiers in Artificial Intelligence 2025 Vol. 8 Article 1554325
Added: September 18, 2026
Rezunik L., Alexandrov D., Mikhail Prozorskiy, , in: Intelligent Decision Technologies. Proceedings of the 17th KES-IDT 2025 ConferenceVol. 450.: Cham: Springer, 2026. P. 81–91.
Multi-Agent Systems (MAS) can benefit from Large Language Models (LLMs), but hallucinations pose risks to decision-making. This paper introduces an approach for creating MAS based on LLMs and proposes a generalized architecture for such systems. We ensure that reasoning is conducted through predicate logic to minimize errors, and LLMs are exclusively utilized to translate natural ...
Added: September 14, 2026
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
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
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
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
Vyacheslav D. Neverov, Lukyanov A., Andrey V. Krasavin et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 No. 2 Article 024515
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
Soldatova A., Банковские услуги 2025 № 5 С. 41–44
This article covers the results of a roundtable discussion at the Higher School of Economics (HSE) on the Russian bond market. Key issues and trends in the bond market over the past year were discussed, including macroeconomic risks and new threats to private investors related to the increasing frequency of coupon defaults by issuers. The ...
Added: September 3, 2026
Kazun A., Devyatnikov V., Белов М. Д., Вопросы теоретической экономики 2026 Т. 3 № 32 С. 115–135
Как понять, хорош адвокат или нет? В данной статье мы описываем методологию, позволяющую измерять качество юридической помощи через разницу между тем, что предсказывает модель машинного обучения по объективным характеристикам дела, и тем, чем дело закончилось в реальности. Мы исходим из предпосылки, что если у адвоката дела стабильно заканчиваются лучше ожидаемого, то он делает свою работу хорошо. ...
Added: August 28, 2026