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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.
Avdoshin S. M., Pesotskaya E. Y., Информационные технологии 2026 Т. 32 № 4 С. 185–194
With the rapid advancement of artificial intelligence, and deep learning in particular, models have emerged that are capable of delivering highly accurate predictions. However, the internal logic of such models remains difficult to interpret—an issue of critical importance, especially in domains where the correctness of an algorithm directly affects high-stakes decision-making. One promising avenue for ...
Added: May 8, 2026
Дегтерева Е. А., Biryukova O. V., Сабанцев А. И., Вестник МГИМО Университета 2026 Т. 19 № 2 С. 149–171
Abstract: This article examines the role of the International North–South Transport Corridor (INSTC) in the reorientation of Russia’s foreign trade flows toward the countries of the Global South. In the context of sanctions pressure, geopolitical fragmentation, and the restructuring of traditional logistics chains, the INSTC has acquired strategic importance as an alternative transport artery linking ...
Added: May 8, 2026
Красноярск: Издательство Красноярского государственного аграрного университета, 2025.
The articles of the conference participants on current issues of logistics and supply
chain management are presented. The theoretical and methodological aspects of the development of logistics systems at enterprises and in the agro-industrial complex are described, the issues of the application of virtual technologies, management of territorial
logistics systems, cross-cultural and innovative management are covered. The ...
Added: April 29, 2026
Glushko A., Neznanov A., Овчинников С. et al., В кн.: Интеллектуальный анализ данных в нефтегазовой отрасли.: М.: ООО «Геомодель Развитие», 2024. С. 140–143.
With the development of monitoring systems, now we have the opportunity to collect key performance indicators of devices in the process of artificial lift. Every day a huge amount of telemetry is generated by our devices, which can be used to forecast the working mode and health state of the equipment after the process of ...
Added: April 29, 2026
Sergeyev V., Dybskaya V., Логистика 2025 № 4 С. 11–16
The content of the blockchain concept (technology) in relation to supply chain management and logistics is disclosed. The evolution of blockchain technology is shown: advanced blockchain, complex and advanced solutions using blockchain. The main areas of application and characteristics of the problems of the blockchain application in the USP are considered. The key risks and ...
Added: April 29, 2026
Dybskaya V., Sergeyev V., РИСК: Ресурсы, информация, снабжение, конкуренция 2025 № 2 С. 11–17
The origins and importance of supply chain management (SCM) in the modern economy are analyzed. It is shown that the USP is a continuation and development of the concept of integrated business logistics. The evolution of logistics from the 1960s to the 2000s is presented. The main functionality of the ADC for business organizations is ...
Added: April 28, 2026
Krasnov L., Malikov D., Kiseleva M. et al., Journal of Medicinal Chemistry 2026 Vol. 69 No. 8 P. 8838–8851
In this work, we developed a straightforward data-driven approach to predict the cytotoxicity of metal complexes based entirely on their (metal + ligands) composition. To this end, we have manually curated MetalCytoToxDB─a comprehensive experimental database comprising 26,500 IC50 values for 7050 metal complexes against 754 cell lines from 1921 articles. Based on these, machine learning ...
Added: April 23, 2026
Ершов И. А., Системная инженерия и инфокоммуникации 2025 № 4 С. 11–14
The heat consumption of residential buildings is a stochastic series. It is necessary for the design of thermal energy regulators the creation of a neural network model. In the paper, the model is carried out based on Long Short-Term Memory (LSTM). The high accuracy of reproducing the series was achieved by training the model on ...
Added: April 22, 2026
Ramenskaya A., Чудинова О. С., Первицкая Л. А., Индустриальная экономика 2026 № 1 С. 65–78
This article is devoted to the development of an algorithm for analyzing news information using machine learning methods implemented in Python libraries. The choice of tools used at each stage of the algorithm is justified by calculating metrics for the quality of the solution to the corresponding machine learning problems. The algorithm’s results are presented ...
Added: April 20, 2026
Makarov D. M., Kalikin N., Gurikov P. et al., Journal of Supercritical Fluids 2026 Vol. 235 Article 106979
Supercritical CO2 (scCO2 ) is an environmentally friendly solvent, but its low polarity limits the solubility of polar compounds. Cosolvents are commonly used to enhance solvation capability, yet comprehensive datadriven studies are scarce. We compiled the largest dataset to date — 4401 experimental solubility records with 22 cosolvents for 93 nonionic solutes, plus 4855 records ...
Added: April 19, 2026
Lysenok N., Фундаментальная и прикладная математика 2026 Т. 26 № 3 С. 33–42
This study examines the impact of realized volatility forecasts on the performance of active trading strategies in the Russian equity market. Using a sample of 17 liquid stocks over the period 2014–2026, a hybrid forecasting model is developed that combines HAR-J with gradient boosting; its superiority over the baseline HAR-J specification is confirmed by the ...
Added: April 17, 2026
Plesovskikh A., Journal of Applied Economic Research 2023 Т. 22 № 2 С. 323–354
Modern studies widely discuss the role of special economic zones in stimulating the economic growth and development of Russia, generating the necessary investment flows and increasing the country's innovative potential by expanding production in high-tech sectors of the economy with high added value. The purpose of the study is to model the process of generating ...
Added: April 13, 2026
Опыт генерации оценок эмоциональной валентности и возбуждения слов на основе символьно-уровневой CNN
Lyusin D., Валуева Е. А., Sysoeva T., В кн.: Психология познания: Материалы Всероссийской научной конференции, ЯрГУ, Институт психологии РАН, 5–6 декабря 2025 г.: Институт психологии РАН, 2026. С. 310–314.
Эмоциональная окраска слов широко используются в различных академических и прикладных исследованиях, от анализа текстов до понимания когнитивных процессов. Актуальной задачей является создание объёмных датасетов с оценками слов по ряду эмоциональных параметров. Современные методы машинного обучения, основанные на семантической близости слов, извлекаемой из текстовых корпусов, демонстрируют высокие корреляции с человеческими оценками, однако иногда наблюдаются существенные расхождения. ...
Added: April 10, 2026
Fedorov A., Вакку Г. В., Лебедева С. Э., Галактика медиа: журнал медиа исследований 2026 Т. 8 № 2 С. 163–182
With the increasing volume of data, university faculty may spend years processing and organizing information. Personalized assistance, content recommendations, data collection for literature reviews, and bibliographic citation formatting reinforce the role of artificial intelligence and neural network tools for scholarly communication. This paper discusses practical examples of using tools such as Elicit, SciSpace, Consensus, Undermind, ...
Added: April 7, 2026
Efremov A., Portnoy S., Волошин А. Д., Первая миля 2025 № 8 С. 20–28
Выполнен комплексный обзор методов машинного обучения (ML), применяемых для повышения устойчивости сигнала к помехам в каналах связи. Бурное развитие поколений беспроводной связи, активная разработка концепции 6G предъявляют высокие требования к задержке, скорости и надежности передачи данных. Традиционные подходы к защите от помех, основанные на строгих аналитических моделях, зачастую не справляются с хаотичной природой плотных гетерогенных ...
Added: April 4, 2026
Pakshin P., Legal Issues in the Digital Age 2026 Vol. 7 No. 1 P. 32–48
Artificial intelligence plays a significant role in automation, minimizing human intervention in fields such as medicine, art, and law. Despite the historically close relationship between art and technology, generative AI has expanded the potential for creative activity. A significant catalyst for this process has been the proliferation of pre-trained AI systems, which have accelerated the ...
Added: March 31, 2026