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Анализ влияния факторов на прогноз динамических явлений в углепородном массиве при ведении горных работ
Интерэкспо Гео-Сибирь. 2016. Т. 2. № 3. С. 102–107.
Журавлев Е. И., Vartanov S.
Sustainable safety of coal mining requires continuous monitoring of stress-strain state of rock mass for the advance warning of mine personnel on hazardous fast-running dynamic phe-nomena. Introduction of forecasting systems for dynamic phenomena in coal mines enables a mine operator to have graphical and prompt information on safety of different areas within a mine field.
Language:
Russian
Springer, 2026.
Two volumes of the SPECOM 2026 proceedings contain a collection of submitted papers presented at SPECOM 2026, which were thoroughly reviewed by members of the Program Committee and additional reviewers consisting of almost 80 experts in the conference topic areas. In total, 65 regular full papers out of 99 submissions made via the EasyChair electronic ...
Added: September 20, 2026
Medvedev V., Annals of Global Analysis and Geometry 2026 Vol. 70 No. 2 P. 8–23
This paper studies three-dimensional compact static manifolds with boundary and positive scalar curvature. We prove that, under a suitable bound on the Ricci curvature, the orientable quotient of the Nariai static manifold with boundary is the only such manifold with connected boundary, provided that the zero-level set of the potential is connected and does not intersect ...
Added: September 19, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 323–334
In this paper, an improved approach for automatic wildlife detection in natural environments based on the integration of a neural network architecture with a two-stream attention mechanism and a novel preclassification step based on infrared data has been presented. The proposed method addresses one of the key challenges in environmental monitoring: the need for scalable ...
Added: September 19, 2026
Aleksei Samarin, Nazarenko A., Kotenko E. et al., Proceedings of the ACM on Management of Data, USA 2026 Vol. 4 No. 1 P. 1–28
Modern knowledge and large volumes of data are increasingly encoded within neural networks, making the task of simplifying their structures and reducing the number of parameters especially relevant, both to improve efficiency and to facilitate deployment in resource-constrained environments. This paper presents a novel approach to neural network compression that addresses redundancy at both the ...
Added: September 19, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2025 Vol. 35 No. 2 P. 148–158
This paper describes our research on creating classifiers for microbial images (micrococci microscopy images) obtained from pictures of unfixed microscopic scenes. In our work, we propose an AutoML approach based on the automatic generation and analysis of the feature space for constructing the most optimal descriptors of microorganism images for subsequent classification. This makes it ...
Added: September 19, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 302–312
The lack of annotated microscopic datasets remains a major obstacle to training robust deep learning models for microbial classification. In this paper, a novel data augmentation pipeline that uses visual–linguistic large-scale models to generate synthetic microscopic images of six different bacterial and nonbacterial classes has been proposed. Synthetic samples have gradually been added to the ...
Added: September 19, 2026
Springer, Cham, 2026.
computer vision ...
Added: September 19, 2026
Karachurina L. B., Mkrtchyan N. V., Региональные исследования 2026 Т. 91 № 1 С. 34–47
Migration for higher education is one of the largest and most intense migration flows in most developed countries, and Russia is no exception. The direction of educational migration flows is determined by many factors. Among these, traditionally significant determinants of the basic gravity model include the population size of the centers participating in migration exchange ...
Added: September 19, 2026
Springer, Cham, 2026.
Added: September 19, 2026
FRUCT Oy, 2024.
Added: September 19, 2026
FRUCT Oy, 2024.
Added: September 19, 2026
FRUCT Oy, 2025.
Added: September 19, 2026
FRUCT Oy, 2026.
Added: September 19, 2026
Астафьева Е.В., Турунцева М. Ю., Вестник Евразийской науки 2025 Т. 17 № 6
В работе исследуются возможности использования простых процедур корректировки и объединения прогнозов. Мы оцениваем влияние применения этих процедур (методов простой корректировки, простых и регрессионных методов комбинирования) на качество прогнозов показателей российского экспорта во все страны и импорта из всех стран. В общей сложности мы использовали четыре метода корректировки, 9 методов простого комбинирования и семь регрессионных методов. ...
Added: August 21, 2026
Vagin S., Управление 2025 Т. 12 № 3 С. 74–82
The purpose of the article is to evaluate theoretical approaches to the study of various scientific and practical approaches of sustainable economic development. The author of the work has the following tasks: to conduct a comparative assessment of various scientists and economists studying theoretical approaches of sustainable strategic development of innovative potential of industrial enterprises; ...
Added: July 29, 2026
СПб.: АО "ЦТСС", 2025.
В научном издании представлены труды Двенадцатой всероссийской научно-практической конференции по имитационному моделированию и его применению в науке и промышленности «Имитационное моделирование. Теория и практика» (ИММОД-2025) по следующим направлениям: - теоретические основы и методология имитационного и комплексного моделирования; - методы исследования и оценки качества моделей, валидация и верификации моделей; - методы и системы распределенного моделирования; - ...
Added: April 17, 2026
Троцкая И. А., Львова О. А., Короткова Е. В. et al., В кн.: Медицинское образование, наука, практика : Сборник статей X Международной научно-практической конференции молодых ученых и студентов, 22-23 апреля 2025 г. Т.2.: Екатеринбург: ФГБОУ ВО УГМУ Минздрава России, 2025. С. 673–679.
Pediatric ischemic stroke is considered to be a rare condition. Correct recognition of the acute symptoms
and further monitoring of the dynamics of them may allow predicting the child's development and further adaptation. The aim of the study was to provide clinical and imaging features of the acute period of ischemic stroke with debut at an ...
Added: March 2, 2026
Карелина М. Г., Mkhitarian V., Финансы и бизнес 2025 Т. 21 № 4 С. 49–65
Дизельное топливо играет важную роль в российской экономике, его значимость обусловлена высокой эффективностью, экономичностью, надежностью и широким спектром применения. Россия один из крупнейших вмире экспортеров дизельного топлива, что обеспечивает значительные поступления в бюджет страны и является геополитическим инструментом в рамках глобальных трансформационных процессов. Статистическая оценка развития российского рынка дизельного топлива в представленной работе проводилась в ...
Added: February 20, 2026
Заруцкая Е. В., В кн.: Обучение иностранному языку студентов высших и средних образовательных учреждений на современном этапе: материалы XIII Международной научно-методической видеоконференции 17 января 2025 г. Сборник посвящен 50-летию Амурского государственного университета.: Амурский государственный университет, 2025. С. 89–97.
The paper presents the experience of using the neural network plat form ElevenLabs to develop vocabulary skills in B2-B2+ level students (according to CEFR) through listening tasks as part of independent work with lexical materi al. It discusses the advantages of using ElevenLabs for text-to-speech compared to other speech synthesis tools and provides examples of ...
Added: February 15, 2026
Ustyuzhanin V., Демографическое обозрение 2025 Т. 12 № 4 С. 100–122
Formal demographic analysis, including the construction of life tables, standardization of indicators, decomposition of changes, and modeling of demographic processes, requires complex calculations and data manipulation. Despite the advances in methods, many of them have not yet been implemented as ready-to-use, convenient tools in modern statistical environments. To address this issue, we present the demor ...
Added: December 30, 2025
Kopnova E., Журавлева К. А., Коряков И. В. et al., Журнал Белорусского государственного университета. Экономика 2025 № 1 С. 36–46
he article examines the prospects for economic cooperation between Russia and Belarus within the framework of the EAEU, SCO and BRICS integration associations, with an emphasis on the impact of sanctions and their consequences for the economic growth of the countries. The study includes the use of econometric modeling methods to evaluate the forecast of ...
Added: December 11, 2025
Бояров Е. Н., Абрамова С. В., Купцова О. В. et al., Педагогика. Вопросы теории и практики 2025 Т. 10 № 5 С. 588–599
The aim of this research is to theoretically substantiate the possibility of applying a neural network approach to constructing a modern educational process in higher education. The article examines the main machine learning methods used for analyzing educational data and justifies the necessity of their implementation into the educational process. Particular attention is paid to ...
Added: December 9, 2025
Пермь: Пермский государственный национальный исследовательский университет, 2024.
This collection presents the proceedings of the Ninth All-Russian Scientific and Practical Conference with International Participation, "Artificial Intelligence in Solving Current Social and Economic Problems of the 21st Century," which was held October 17–18, 2024, in Perm. The collection is intended for researchers and educators, lecturers, postgraduate and master's students, undergraduates, and anyone interested in ...
Added: November 19, 2025
Smirnov S. V., Вопросы экономики 2025 № 10 С. 131–154
The paper summarizes machine-learning (ML) methods most relevant to macroeconomics and assesses their performance in forecasting and nowcasting key macro indicators. Despite rapid methodological progress and a surge of publications over the past 25 years, gains in forecast accuracy with traditional statistical (economic, financial, and survey) data remain modest. ML models often outperform naïve and ...
Added: October 12, 2025