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Simulation of Residential Real Estate Markets in the Largest Russian Cities
Economy of Regions. 2022. Vol. 18. No. 2. P. 609–622.
Alekseev A.
The existing mass appraisal models and mathematical tools for predicting the market value of residential property have a number of disadvantages, as they are developed for individual regions. Without considering the constantly changing economic environment, these models quickly become outdated and require constant updating. Thus, they are not suitable for construction business optimisation. The study aims to create a universally applicable real estate appraisal system for Russian cities, regardless of the constantly changing economic situation. This goal was achieved through the creation of a neural network, whose input parameters include construction and operational data, geographical factors, time effect, as well as a number of indicators characterising the economic situation in specific regions, Russia and the world. In order to examine the dynamics of real estate markets in the Russian Federation, statistical data for neural network training were collected over a long period from 2006 to 2020. Virtual computer experiments were performed for testing the developed system. They showed that minimum size one-room apartments of 16 square meters have the highest unit cost per square meter in Moscow. Two-room apartments with an area of 90 square meters have the maximum price, as well as 100 sq. m. three-room, 110 sq. m. four-room and 120 sq. m. five-room apartments. In Ekaterinburg, two-room apartments with a total area of 30 square meters have the highest cost per square meter; the same applies for 110 sq. m. three-room, 130 sq. m. four-room and 150 sq. m. five-room apartment. Thus, the proposed system can be used to optimise the construction business. It can be also be useful for government institutions concerned with urban real estate market management, property taxation, and housing market improvement.
Language:
English
Barinova M., Tirskaya Karina, Владикавказский математический журнал 2026 Vol. 28 No. 3 P. 25–43
In this paper, the problem of the existence of an energy function for discrete dynamical systems defined by structurally stable diffeomorphisms is studied. For the considered class of dynamical systems, such a function is defined as a continuous function that decreases along the orbits of the system outside the non-wandering set and remains constant on ...
Added: November 11, 2026
Illarionov A., Математический сборник 2026 Т. 217 № 11 С. 56–87
Let $b(\alpha;T)$ be the number of best simultaneous Diophantine approximations with common denominator $\le T$ to the point $\alpha \in {\Bbb R}^n$. We derive asymptotic formulas for the mean value of this quantity (averaging is performed over all rational points of the form $\alpha = (k_1/N,\ldots, k_n/N)$, $N\le R$), as well as for its mathematical ...
Added: November 10, 2026
Stoianova A. D., Trofimets V. Y., Matrokhina K. V., International Journal of Engineering, Transactions A: Basics 2025 Vol. 38 No. 4 P. 701–709
The article considers the issue of managerial decision-making in an oil and gas company, which is related to the class of multi-criteria choice problems. To improve the validity of decisions in the context of companies’ sustainable development it is proposed to implement a Decision Support System (DSS). A brief review of the existing methods of ...
Added: November 10, 2026
Vereshchagin N., Математический сборник 2026 Т. 217 № 10 С. 3–46
Теорема Гудмана-Штрауса утверждает, что для “почти всякой” подстановки семейство подстановочных замощений софично, т.е. может быть задано локальными правилами для некоторой раскраски плиток. Условия на подстановку, гарантирующие софичность, довольно сложные.
В настоящей работе мы предлагаем версию теоремы Гудмана-Штрауса с более простыми условиями на подстановку. Хотя эти условия достаточно ограничительны, мы показываем, что в сочетании с двумя простыми приемами (взятием достаточно ...
Added: November 10, 2026
Sergei Koltcov, Ryumin D., Alexandr Axyonov et al., PeerJ Computer Science 2026 Article 12:e4141
Educational institutions face increasing pressure to adapt their curricula to the rapidly evolving demands of the job market, and recommender systems can be important tools to guide students in selecting courses that align with their career goals. We present EdFitter, a hybrid course recommendation system that combines pretrained text embeddings for retrieval with large language ...
Added: November 10, 2026
Guskov T., Gerke K., Kondratyuk N. et al., Molecular Simulation 2026 Vol. 52 No. 7 P. 546 – 555
Equilibration is often assumed rather than tested in molecular dynamics studies of confined liquid–liquid interfaces, even though different physical properties may relax on different time scales. In this work, equilibration is examined using an automated truncation method based on the marginal standard error rule. Interfacial geometry, wetting behaviour, and density-related properties are analysed for liquid–liquid ...
Added: November 10, 2026
Lukyanchuk V., Norman G., Kondratyuk N. et al., Scientific Reports 2026 Vol. 16 No. 1 Article 16435
Previously, it has been effectively shown that nuclear quantum effects (NQE) considerably influence the prediction of the warm dense hydrogen phase diagram. Here, we study the influence of NQE on the parameters of the conducting state formation in warm dense hydrogen using path integral molecular dynamics (PIMD) within the framework of the finite temperature density ...
Added: November 10, 2026
Springer, 2027.
This volume is Part VIII of the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2026, held in Naples, Italy, September 7–11, 2026. It contains 40 papers from the Research Track and the Applied Data Science Track and is published as volume 16948 of Lecture Notes in ...
Added: November 9, 2026
Avdoshin S.M., Pesotskaya E.Y., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 6, part 2 P. 133–146
Artificial intelligence has significantly reshaped contemporary software engineering practice,
changing how software systems are designed, implemented, tested, and maintained. Recent advances in large
language models and AI-assisted development tools have expanded the role of AI from supporting isolated
tasks to participating in multiple stages of the software lifecycle. In many development settings, software is
now created from high-level specifications ...
Added: November 8, 2026
Aleksei Samarin, Belous F., Торопов А. Г. et al., Technologies 2026 Vol. 14 No. 11 P. 1–21
Abstract
Automated interpretation of magnetic flux leakage (MFL) data is central to condition assessment of long-distance oil and gas pipelines. Yet, full-resolution panoramas are difficult to process without either suppressing small anomalies through resizing or fragmenting elongated objects at sliding-window boundaries. We propose MFL-ScrollNet, a recurrent sliding-window detector that formulates panoramic analysis as an ordered sequence ...
Added: November 8, 2026
IEEE Computer Society (Conference Publishing Services, CPS), 2026.
Added: November 7, 2026
Sergey Avdoshin, Elena Pesotskaya, Saleh H. et al., Procedia Computer Science 2026 Vol. 292 P. 1332–1341
The rapid development of generative large language models (LLMs) has intensified the need for reliable methods capable of distinguishing AI-generated text from human writing, especially in academic and professional settings. This paper presents the results of a systematic benchmarking study evaluating the performance and limitations of contemporary LLM-text detectors
applied to Russian-language academic content. We introduce ...
Added: November 7, 2026
Zhang Z., Ilvovsky D., Neurocomputing 2027 Vol. 710
Efficient management of the Key-Value (KV) cache is essential for deploying large language models (LLMs) in long-context scenarios, where memory requirements often exceed the capacity of resource-constrained hardware. Many existing training-free compression algorithms typically rely on attention-driven heuristics, but exhibit two key limitations. First, they require explicit attention score computation, which is difficult to reconcile ...
Added: November 5, 2026
Retinsky V., Функциональный анализ и его приложения 2026 Т. 60 № 4 С. 83–100
Приведено обобщение матричной теоремы о деревьях на случай перечисления пар остовных деревьев. Это обобщение включает в качестве частных случаев и унифицирует сразу несколько известных ранее результатов, в частности классическую теорему Кирхгофа, теорему Масбаума–Вайнтроба о перечислении 3-деревьев, а также аналог матричной теоремы о деревьях для перечисления 4-элементов Кирхгофа. ...
Added: November 5, 2026
Levashev V., Математические заметки 2026 Т. 120 № 5 С. 843–846
Пусть 𝐴 – коммутативное ассоциативное кольцо с единицей и 𝐴((𝑡)) = 𝐴[[𝑡]][𝑡−1] – кольцо рядов Лорана над 𝐴. Алгебра 𝐴((𝑡)) имеет естественную топологию, где 𝐴 – подмодули вида 𝑡𝑚𝐴[[𝑡]] образуют базу окрестностей нуля. Пусть также Ω1𝐴((𝑡))/𝐴 – модуль кэлеровых 1-дифференциалов 𝐴((𝑡)) над 𝐴. ...
Added: November 5, 2026
Алексеев О. В., Letters in Mathematical Physics 2026 Vol. 116 No. 5 Article 132
We study the mixed Hessian of the dispersionless Toda \(\tau\)-function for the one-harmonic \(s\)-fold symmetric conformal map \(f(w)=r\bigl(w+\zeta w^{1-s}\bigr)\), where \(r>0\) is the exterior conformal radius and \(\zeta>0\) is the dimensionless shape parameter. This Hessian is the susceptibility matrix generated by the inverse conformal map. Our spectral statements are formulated for its weighted symmetry-block realizations ...
Added: November 5, 2026
Marinin N., Getman A., Труды Института системного программирования РАН 2026 Т. 38 № 4 С. 123–142
This paper investigates a method for detecting DNS tunnels in network traffic using a neural network.
To achieve this, an analysis of current detection approaches was conducted, and a dataset for neural network
training was prepared. The proposed model takes as input a sequence of characters extracted from DNS
responses. The trained model demonstrated an F1-score close to ...
Added: September 11, 2026
Soldatova A., Сберегательное дело за рубежом 2025 № 2 С. 58–67
This article examines REITs (Real Estate Investment Trusts) and their Russian counterparts, closed-end real estate mutual funds (ZPIFs). It examines the advantages and risks of investing in such funds, REIT classifications, international practices, and the operating characteristics of Russian ZPIFs. Comparative tables are provided illustrating the differences between foreign REITs and domestic ZPIFs, as well ...
Added: September 3, 2026
Karacharovskiy V., Ларина У. С., Резмерица А. А., Социологические исследования 2026 № 7 С. 60–75
Based on the neural network approach, the decomposition of the index of social mood in Russia for the period 2004-2024 was carried out and their dynamics for this period was modeled. The following issues are discussed: (a) the nature of the social mood' shocks in Russia, based on their connection with the concepts of politics ...
Added: May 14, 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
Мезенцев А. С., Ясницкий В. Л., Миролюбова Т. В. et al., В кн.: Искусственный интеллект в решении актуальных социальных и экономических проблем ХХI века : Сборник статей по материалам Десятой всероссийской научно-практической конференции с международным участием (г. Пермь, ПГНИУ, 9–10 октября 2025 г.).: Пермский государственный национальный исследовательский университет, 2025. С. 148–150.
На примере серийного производства стальных отливок показана возможность применения нейронных сетей в качестве системы поддержки принятия решений по снижению
отрицательных экономических последствий некоторых нештатных ситуаций, связанных
со сбоями поставок сырьевого материала.
Ключевые слова: нештатная ситуация, производственный брак, нейронная сеть, прогнозирование, сырьевой материал, моделирование ...
Added: February 15, 2026
Yasnitsky L., Голдобин М. А., В кн.: Искусственный интеллект в решении актуальных социальных и экономических проблем ХХI века : Сборник статей по материалам Десятой всероссийской научно-практической конференции с международным участием (г. Пермь, ПГНИУ, 9–10 октября 2025 г.).: Пермский государственный национальный исследовательский университет, 2025.
В статье предложен алгоритм нейросетевого метода поиска выбросов статистической информации. Алгоритм основан на анализе поведения накопленной ошибки обучения
множества нейросетей персептронного типа с одним скрытым слоем, полученной суммированием для каждого примера обучающего набора данных. Количество нейронов
скрытого слоя каждой нейросети определяется исходя из следствия теоремы Арнольда –
Холмогорова – Хехт-Нильсена, которое регламентирует количество связей и количество
нейронов скрытого слоя, ...
Added: February 15, 2026
Пермский государственный национальный исследовательский университет, 2025.
Представлены материалы Десятой всероссийской научно-практической конференции с международным участием «Искусственный интеллект в решении
актуальных социальных и экономических проблем ХХI века», которая проводилась 9–10 октября 2025 г. в Перми, ПГНИУ.
Сборник предназначен для научных и педагогических работников, преподавателей, аспирантов, магистрантов, студентов и всех, кто интересуется и занимается проблемами развития и применения методов искусственного интеллекта. ...
Added: February 15, 2026
Dobrynskaya V. V., Tomtosov A., Речмедина С., / NRU HSE. Series WP BRP 60/FE/2017 "SERIES: FINANCIAL ECONOMICS". 2025.
We study the application of factor investing in the market for real estate (REITs). The analysis of traditional factor strategies, such as momentum, value, size and profitability, reveals their unstable and atypical behavior in comparison to the equity market, however, there is a strong momentum effect in the factor strategies. We propose a new dynamic ...
Added: January 21, 2026