Reliable real estate price indicators are typically published at city level and low frequency, limiting their use for neighborhood-scale monitoring and long-horizon planning. We study whether sub-city price indices can be forecasted at weekly frequency by combining physical development signals from satellite radar with market narratives from news text. Using over 350,000 transactions from Dubai Land Department (2015-2025), we construct weekly price indices for 19 sub-city regions and evaluate forecasts from 2 to 34 weeks ahead. Our framework fuses regional transaction history with Sentinel-1 SAR backscatter, news sentiment combining lexical tone and semantic embeddings, and macroeconomic context. Results are strongly horizon dependent: at horizons up to 10 weeks, price history alone matches multimodal configurations, but beyond 14 weeks sentiment and SAR become critical. At long horizons (26-34 weeks), the full multimodal model reduces mean absolute error from 4.48 to 2.93 (35% reduction), with gains statistically significant across regions. Nonparametric learners consistently outperform deep architectures in this data regime. These findings establish benchmarks for weekly sub-city index forecasting and demonstrate that remote sensing and news sentiment materially improve predictability at strategically relevant horizons.
Evaluating Text-to-SQL agents in private business intelligence (BI) settings is challenging due to the scarcity of realistic, domain-specific data. While synthetic evaluation data offers a scalable solution, existing generation methods fail to capture business realism--whether questions reflect realistic business logic and workflows. We propose a Business Logic-Driven Data Synthesis framework that generates data grounded in business personas, work scenarios, and workflows. In addition, we improve the data quality by imposing a business reasoning complexity control strategy that diversifies the analytical reasoning steps required to answer the questions. Experiments on a production-scale Salesforce database show that our synthesized data achieves high business realism (98.44%), substantially outperforming OmniSQL (+19.5%) and SQL-Factory (+54.7%), while maintaining strong question-SQL alignment (98.59%). Our synthetic data also reveals that state-of-the-art Text-to-SQL models still have significant performance gaps, achieving only 42.86% execution accuracy on the most complex business queries.
The article examines the role of real estate valuation in property management. The purpose of the scientific work is to confirm the hypothesis about the efficiency of applying methods and techniques used in the Russian practice of assessing the market value of real estate. The hypothesis is based on the postulate that for successful operation of an enterprise, any asset should bring a positive effect in the amount that levels the costs of acquisition, operation and modernisation. As a result, in the context of the article, the efficiency of the property management is considered through the prism of economic efficiency. Thus, the most economically efficient management decision in the property management is the one that brings the greatest cash flow on the selected planning horizon. The main objective of this article is to analyse the Russian practice of the real estate valuation in the context of searching for effective tools that allow making management decisions regarding the disposal of property. To achieve the stated goal and objectives, mainly general scientific methods have been used, including analysis, synthesis and generalisation. The article proves that the application of the methods and techniques used in the Russian practice of valuation is appropriate when making a management decision regarding the disposal of the property. Thus, property management entities are recommended to study the basis for assessing the market value of real estate objects.
In the article, the role of demand and supply in the theory of value and valuation is discussed using the case of the real estate market. The research hypothesis tested is that demand is dominant in the valuation process. The purpose of the article is to present evidence in support of the research hypothesis and to explain why real estate valuations need the investor-oriented model of valuation. A critical analysis of the pertinent literature and legislation and the observation method were employed to this end. The need to use the investor-oriented model for real estate valuation is discussed based on: (1) the residual (development) method; (2) the valuation of properties’ potential; and (3) the valuation of a subdivided property to calculate an adjacency fee. The matter under consideration is important not only for theoretical deliberations but also for the practice of real estate valuation and management.
We propose an end-to-end real-estate recommendation system, RE-RecSys, which has been productionized in real-world industry setting. We categorize any user into 4 categories based on available historical data: i) cold-start users; ii) short-term users; iii) long-term users; and iv) short-long term users. For cold-start users, we propose a novel rule-based engine that is based on the popularity of locality and user preferences. For short-term users, we propose to use content-filtering model which recommends properties based on recent interactions of users. For long-term and short-long term users, we propose a novel combination of content and collaborative filtering based approach which can be easily productionized in the real-world scenario. Moreover, based on the conversion rate, we have designed a novel weighing scheme for different impressions done by users on the platform for the training of content and collaborative models. Finally, we show the efficiency of the proposed pipeline, RE-RecSys, on a real-world property and clickstream dataset collected from leading real-estate platform in India. We show that the proposed pipeline is deployable in real-world scenario with an average latency of <40 ms serving 1000 rpm.
Imitation learning methods need significant human supervision to learn policies robust to changes in object poses, physical disturbances, and visual distractors. Reinforcement learning, on the other hand, can explore the environment autonomously to learn robust behaviors but may require impractical amounts of unsafe real-world data collection. To learn performant, robust policies without the burden of unsafe real-world data collection or extensive human supervision, we propose RialTo, a system for robustifying real-world imitation learning policies via reinforcement learning in "digital twin" simulation environments constructed on the fly from small amounts of real-world data. To enable this real-to-sim-to-real pipeline, RialTo proposes an easy-to-use interface for quickly scanning and constructing digital twins of real-world environments. We also introduce a novel "inverse distillation" procedure for bringing real-world demonstrations into simulated environments for efficient fine-tuning, with minimal human intervention and engineering required. We evaluate RialTo across a variety of robotic manipulation problems in the real world, such as robustly stacking dishes on a rack, placing books on a shelf, and six other tasks. RialTo increases (over 67%) in policy robustness without requiring extensive human data collection. Project website and videos at https://real-to-sim-to-real.github.io/RialTo/
Seyed Mahdi Roostaiyan, Mohammad Mehdi Hosseini, Mahya Mohammadi Kashani
et al.
In most image retrieval systems, images include various high-level semantics, called tags or annotations. Virtually all the state-of-the-art image annotation methods that handle imbalanced labeling are search-based techniques which are time-consuming. In this paper, a novel coupled dictionary learning approach is proposed to learn a limited number of visual prototypes and their corresponding semantics simultaneously. This approach leads to a real-time image annotation procedure. Another contribution of this paper is that utilizes a marginalized loss function instead of the squared loss function that is inappropriate for image annotation with imbalanced labels. We have employed a marginalized loss function in our method to leverage a simple and effective method of prototype updating. Meanwhile, we have introduced ${\ell}_1$ regularization on semantic prototypes to preserve the sparse and imbalanced nature of labels in learned semantic prototypes. Finally, comprehensive experimental results on various datasets demonstrate the efficiency of the proposed method for image annotation tasks in terms of accuracy and time. The reference implementation is publicly available on https://github.com/hamid-amiri/MCDL-Image-Annotation.
The formalized description of the symbolic method (complex numbers) is presented, by means of which the complex value is determined in the form of the level of influence of causal factors on the damage caused by accidents and fires. On the example of enterprises of oil and gas complex of Russia the substantiation on use of the symbolic method by means of which there is a possibility to receive adequate results of an estimation is presented. It is proposed to use software developed with the use of the method of hierarchy analysis and pairwise comparisons, as well as the method of Bayesian Belief Network. As an output, the task of determining the complex influence weight coefficient assigned to the report on accidents and fires at the considered enterprises is solved.
PT WIKA Realty engages property business in Indonesia, which has two core businesses, hotel and non-hotel. Real estate (non-hotel) revenue was only 25,24% of total 2021 revenues. Meanwhile, it has 67,59% of its assets from the whole company's assets. In contrast, the sharia property business grew exponentially during the pandemic. In Islam, Maqashid sharia purposes to spread goodness to people, so business etic is not only to gain profit. Therefore, this research aims to know the real estate business segment's performance, identify the advantages of developing a sharia property business model, and formulate a strategy for a sharia property business model in the real estate business segment of PT WIKA Realty. This research also benchmarked to Asosiasi Developer Properti Syariah and Warees Pte Ltd to observe the sharia property business's external situation after five years running. Business Model Canvas (BMC), Importance Performance Analysis (IPA) and Porter's Five Forces are methods to determine corporate strategies. Seven experts with ten years of experience from PT WIKA Realty were questioned for importance and performance satisfaction; the index is 78,7%. There are three essential elements to improve such as Customer Segment, Key Resources and Customer Relationship with improvements: (1) Targeting Business to Beneficiaries as a new segment market target, (2) Enhancing employee competencies in sharia economy and business, (3) Committed to implementing sharia rules in PPU Realty syariah, (4) Cooperating with Lembaga Keuangan Syariah, (5) Developing PPU Realty Syariah and determining sharia property project, (6) Implementing Customer Relationship Management application.
Keywords: BMC, IPA, porter's five forces, real estate segment, sharia property
The development of construction complexes in modern economic conditions is conditioned by the significant impact of negative environmental factors due to geopolitical and macroeconomic crisis phenomena. There is a need to develop approaches to strategic management of construction enterprises and their associations in order to improve sustainability and competitiveness in domestic and foreign markets. The specifics of the development of modern of the investment and construction complex (ICC) enterprises lies in the complexity of the approach to the creation of finished construction products, consisting in the complication of production and economic relations between enterprises, the increase in the number of participants in production processes in construction, the development of mechanisms of corporate associations of individual ICC entities. As an object of strategic management within the framework of the ICC, it is reasonable to consider construction groups as a key form of corporate intra-industry interaction of enterprises of various specializations, which allows to realize to the greatest extent the possibilities of implementing flexible organizational modelling mechanisms both at the level of the construction group and within the functioning of its individual participants. The solution of the tasks of strategic management of the construction group should be implemented when the conditions for maximizing the level of strategic development are met, while ensuring a sufficient level of general stability of the construction group. The key aspect of developing an approach to the formation and development of strategic management approaches is the definition of the factor space that affects the functioning of the managed system as a whole and, as a consequence, the level of its organizational and economic stability. The results of the study allowed the author to form the structure of the general stability of the construction group with an indication of the relationship of individual elements of stability and key factors-indicators of stability at each level of management of the company. The presented structural model of the general stability of the construction group contributes to the development of methodological tools in the implementation of a systematic approach to the strategic management of construction groups and enterprises operating in their composition.
This paper presents 45 annual accounting books which were discovered in the Üsküdar sharia court records for the Çengelköy Fountains Cash Waqf for the time period 1161 to 1225 Hijri, with all of the income and expenses of the waqf being analyzed. As a result, the waqf, which initially earned income only through exchanging cash, later began to generate income from the rental and operation of the market boat. The present research is especially focused on the profitability of the waqf's boat business. The data obtained has been compared with the profitability of the waqf's cash capital operation and real estate investments.
Nam Pham Phuong, Hue Nguyen Thi, Huyen Phan Thi Thanh
The study aims to determine the influencing factors and their impact levels on residential land prices. The research investigated 241 officials, real estate investors, appraisers, and real estate brokers on factors affecting residential land prices. Research results have shown 13 groups with 45 factors affecting the price of residential land. The impact rates of the factor groups range from 1.43% to 23.65%. The COVID-19 pandemic factor group has the strongest impact on land prices, followed by other factor groups, including upgrading administrative units; formulation and implementation of the planning; the real estate market; financial – economics; credit; real estate brokerage; infrastructure; location of the land parcel; particular factors; juridical factors; environment and social security. To harmonize the interests of the State, investors, and land users when valuing land, it is necessary to pay attention to the factors that strongly impact land prices first, and then the smaller ones.
We propose a framework to give a precise meaning to the intuitive notion of "family of real forms of a variety parametrised by a variety" and study some fundamental properties of this notion. As an illustration, for any $n \geq 1$, we construct the first example of a quasi-projective real surface whose mutually non-isomorphic real forms admit a moduli of dimension at least $n$, parametrised by the real points of an affine $n$-space. Expanding on these constructions, we can give quasi-projective real varieties of any dimension whose algebraic moduli of the non-isomorphic real forms has arbitrarily positive dimension.
Investment decisions by bank customers are increasingly linked to the demand for green investments. Without a meaningful life-cycle costing approach, the danger remains that both bank and customer are exposed to the risk of green washing. The same applies to lending decisions: here, the bank must ultimately assess the business model of the borrower as well as the subject of the loan. Without monetary integration of environmental indicators, the existing rating systems lose their ability to make accurate assessments of creditworthiness. Investment objects like real estate would be assessed with incorrect market values and, accordingly, the lending decision would be based on inadequate data. Based on this, the practice of lending is facing considerable adjustments.
Развитие городской среды связано не только с увеличением плотности жилых кварталов, повышением этажности деловых районов и интенсивным развитием инфраструктуры, но и изменением функционального назначения отдельных городских зон. Наибольший потенциал развития внутригородских территорий располагается в центральных и исторических зонах. Одним из важнейших аспектов развития городской среды является проведение комплексной регенерации территорий сложившейся застройки города, направленное на создание благоприятных условий проживания и эффективное использование производственного, инженерного, научного и других потенциалов строительного комплекса.
Актуальность исследования, рассмотренного в данной статье, обусловлена необходимостью создания организационной модели по реконструкции сложившейся застройки и выбора наиболее оптимальной траектории их развития и эффективного использования. В статье рассмотрены общие принципы разработки организационно-технологической модели, позволяющей оценить и оптимизировать пути развития при использовании принципа «зеленой» реконструкции, а также оптимизации в использовании городского пространства.
Особое внимание акцентируется на необходимости формирования и внедрения в городскую среду концепции «зеленой» реконструкции путем интегрирования элементов озеленения и энергосбережения в объемно-пространственную структуру зданий. Данная тенденция вызвана острой необходимостью повышения экологического качества городской среды для улучшения комфортности жизни городского населения, восстановления нарушенного баланса взаимодействия человека и природной среды и обеспечения устойчивого развития городской среды с учетом современных тенденций.
Комплексное освоение селитебной территории обеспечивает благоприятное и комфортное проживание и использование городского пространства. Одним из элементов, необходимым для реализации комплексной застройки, является создание обобщенного расписания работ. Этой цели служит представленная в статье методика формирования, расчета и оптимизации расписания работ при комплексной застройке селитебной территории. Пошаговое выполнение разработанной методики сводится к выполнению следующих процедур.
Разрабатывается организационно-технологическая схема застройки, включающая расчет (оценку) продолжительности работ, установление связей между ними и ограничений на сроки свершения событий. Далее с учетом введенных данных и выбора метода поточной организации работ, осуществляемых в программе Microsoft Project, проводится поиск допустимого базисного решения, которое основано на решении системы линейных уравнений, описывающих организационно-технологическую схему строительства. После получения допустимого базисного решения в программе Microsoft Project проводится оптимизационный расчет, направленный на минимизацию удельных инвестиционных затрат. Экономическая эффективность оптимизированного расписания, ориентированного на комплексное освоение территории, оценивается в программе Project Expert. Далее проверяется допустимость реализации оптимизированного расписания работ посредством визуализации застройки в программе BIM-моделирования типа Revit. Сравнительно небольшое число вариантов, определяющих возможные очередности освоения объектов, позволяет на основе полного перебора вариантов оценить каждый из них по выбранным критериям экономической эффективности и выбрать оптимальный вариант.
Jeffrey P. Cohen, Felix L. Friedt, Jackson P. Lautier
We investigate whether pandemic-induced contagion disamenities and income effects arising due to COVID-related unemployment adversely affected real estate prices of one- or two-family owner-occupied properties across New York City (NYC). First, OLS hedonic results indicate that greater COVID case numbers are concentrated in neighborhoods with lower-valued properties. Second, we use a repeat-sales approach for the period 2003 to 2020, and we find that both the possibility of contagion and pandemic-induced income effects adversely impacted home sale prices. Estimates suggest sale prices fell by roughly $60,000 or around 8% in response to both of the following: 1,000 additional infections per 100,000 residents; and a 10-percentage point increase in unemployment in a given Modified Zip Code Tabulation Area (MODZCTA). These price effects were more pronounced during the second wave of infections. Based on cumulative MODZCTA infection rates through 2020, the estimated COVID-19 price discount ranged from approximately 1% to 50% in the most affected neighborhoods, and averaged 14%. The contagion effect intensified in the more affluent, but less densely populated NYC neighborhoods, while the income effect was more pronounced in the most densely populated neighborhoods with more rental properties and greater population shares of foreign-born residents. This disparity implies the pandemic may have been correlated with a wider gap in housing wealth in NYC between homeowners in lower-priced and higher-priced neighborhoods.
The establishment of the “extraordinary urbanization contribution” with Law no. 165 of 2014 requires regulating the division between public and private of the capital gains achievable from interventions on urban areas or buildings as variant or in derogation of the regulatory instruments in force. The “free interpretation” of the aforementioned directive left to regional and local decision makers – regarding a) the procedures for assessing the higher value generated by the urban planning variant compared to the pre variant situation and b) the exact percentage of the extraordinary contribution to be used – has led to a methodologically uneven and confused national panorama. This work aims to define and test a rational procedure for assessing the higher value activated by the intervention, comparing the situation before and after the urban variation, and to determine the amount of the gross floor area achievable with the transformation that the private subject is required to pay to the Public Administration, due to the percentage variation of the extraordinary contribution.
L’istituzione del “contributo straordinario di urbanizzazione” con la Legge n.165 del 2014 richiede di regolamentare la ripartizione tra pubblico e privato del plusvalore conseguibile da interventi su aree o immobili in variante urbanistica o in deroga agli strumenti vigenti. La “libera interpretazione” della suddetta norma lasciata ai decisori regionali e locali – in merito a) ai procedimenti di stima del maggior valore generato dalla variante urbanistica rispetto alla situazione ante variante e b) all’esatta percentuale del contributo straordinario da impiegare – si è tradotta in un panorama nazionale metodologicamente frastagliato e confuso. Il presente lavoro ha l’obiettivo di delineare e testare una procedura razionale di stima del maggior valore attivato dall’intervento, mettendo a confronto la situazione ante e post variante urbanistica, e di determinare l’ammontare della superficie lorda di pavimentazione realizzabile con la variante che la parte privata è tenuta a corrispondere alla Pubblica Amministrazione, in ragione della variazione percentuale del contributo straordinario.