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  <title>DSpace Community:</title>
  <link rel="alternate" href="https://dspace.chmnu.edu.ua/jspui/handle/123456789/803" />
  <subtitle />
  <id>https://dspace.chmnu.edu.ua/jspui/handle/123456789/803</id>
  <updated>2026-06-23T17:56:26Z</updated>
  <dc:date>2026-06-23T17:56:26Z</dc:date>
  <entry>
    <title>System of modeling and forecasting real estate prices based on machine learning methods</title>
    <link rel="alternate" href="https://dspace.chmnu.edu.ua/jspui/handle/123456789/3286" />
    <author>
      <name>Kalinina, I.</name>
    </author>
    <author>
      <name>Gozhyj, A.</name>
    </author>
    <author>
      <name>Chorna, V.</name>
    </author>
    <author>
      <name>Gozhyi, V.</name>
    </author>
    <author>
      <name>Shiyan, S.</name>
    </author>
    <id>https://dspace.chmnu.edu.ua/jspui/handle/123456789/3286</id>
    <updated>2026-06-10T10:17:55Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: System of modeling and forecasting real estate prices based on machine learning methods
Authors: Kalinina, I.; Gozhyj, A.; Chorna, V.; Gozhyi, V.; Shiyan, S.
Abstract: The article examines how the problem of forecasting real estate prices is solved using a systematic approach to modeling and forecasting. Machine learning methods were systematically used to solve the problem. The systematic approach to modeling and forecasting is based on the analysis of the studied processes, establishing the types of existing characteristic uncertainties, assessing the structure and parameters of the model, as well as forecasts based on the constructed model. It combines three groups of tasks on a single methodological basis: the task of data analysis and pre-processing; the task of building models and their evaluation; the task of building forecasts and their evaluation. The structure of the systematic approach to modeling and forecasting is developed and presented. An important aspect that affects the effectiveness of using machine learning methods is the process of pre-processing data. Improving the methods of pre-processing data is a complex task that must be solved systematically, taking into account the specifics of the real estate market. Therefore, in this study, considerable attention is paid to the process of pre-processing data and research aimed at increasing the effectiveness of predictive values. The architecture of an information system for solving modeling and forecasting problems is developed and presented. As an example of implementing an information system, the problem of forecasting real estate prices is considered. The results of the following stages are presented: data collection, research and data preparation, model training on data, determining model efficiency, improving the efficiency of basic models. The following groups of models were used to solve the forecasting problem: regression models, tree models. The effectiveness of forecasting solutions was assessed using the MAE, MSE, RMSE, MAPE metrics. To improve the quality of forecasts, a single-layer structure of a heterogeneous ensemble of models based on stacking is proposed.
Description: Kalinina, I., Gozhyj, A., Chorna, V., Gozhyi, V., &amp; Shiyan, S. (2025). System of modeling and forecasting real estate prices based on machine learning methods. 2025 Computational Intelligence Application Workshop, CIAW 2025 : CEUR Workshop Proceedings 26–27 Sept., 2025, Lviv / eds : V. Teslyuk, N. Kryvinska, A. Poniszewska-Maranda, V. Lytvyn, L. Chyrun. Vol. 4110, 15–28. URL: https://www.scopus.com/pages/publications/105038972190</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Stochastic Optical Variability and an rms–Flux Relation in the Intermediate Polar EP240309a</title>
    <link rel="alternate" href="https://dspace.chmnu.edu.ua/jspui/handle/123456789/3285" />
    <author>
      <name>Guziy, S. et al.</name>
    </author>
    <id>https://dspace.chmnu.edu.ua/jspui/handle/123456789/3285</id>
    <updated>2026-06-10T09:48:56Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Stochastic Optical Variability and an rms–Flux Relation in the Intermediate Polar EP240309a
Authors: Guziy, S. et al.
Abstract: Magnetic cataclysmic variables provide a natural laboratory for studying how accretion interacts with compact-object magnetospheres and generates stochastic variability. We present an optical variability study of the intermediate-polar candidate EP240309a, an Einstein Probe X-ray transient, using BOOTES photometry, high-cadence TESS light curves, and a Southern Astrophysical Research (SOAR)/Goodman optical spectrum. Previous studies found a white-dwarf spin period of 3.97 minutes (Pspin ≃ 238 s) and an orbital period of Porb = 3.7614(4) hr. Power spectral densities from the BOOTES data are consistent with single power laws with slopes α ≃ 1.2–1.8, with no statistically significant evidence for a bend across the sampled frequency range. Using red-noise simulations and injection–recovery tests, we place one-sided constraints on any putative break frequency, which translate, under standard dynamical identifications, into an upper limit on the magnetospheric radius of Rm ≲ few × 1010 cm for MWD = 0.8 M⊙. In the TESS data, we detect a linear rms–flux relation on hour timescales in three high-cadence sectors, while two other sectors do not show a robust detection, indicating epoch-dependent rms–flux behavior. The SOAR spectrum shows Balmer and He ii emission lines with FWHM ≈ 1000–1600 km s−1; under a Keplerian interpretation, these imply characteristic radii of r ≈ (0.9–3.4) × 1010 cm, broadly comparable to the timing-based constraints. Overall, the data provide conservative, order-of-magnitude radius constraints consistent with accretion onto a magnetic white dwarf, but they do not establish the detailed accretion geometry or exclude stream-fed or mixed accretion scenarios.
Description: Wu, S.-Y., Hu, Y.-D., Pérez-García, I., Castro-Tirado, A. J., Gritsevich, M., Fernández-García, E. J. … Sánchez-Ramírez, R. (2026).&#xD;
Stochastic Optical Variability and an rms–Flux Relation in the Intermediate Polar EP240309a. Astrophysical Journal Supplement Series, 284 (2), art. no. 36.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Formation of readiness of future physical culture teachers for professional activity</title>
    <link rel="alternate" href="https://dspace.chmnu.edu.ua/jspui/handle/123456789/3234" />
    <author>
      <name>Dovgan, N. et al.</name>
    </author>
    <id>https://dspace.chmnu.edu.ua/jspui/handle/123456789/3234</id>
    <updated>2026-05-19T10:22:02Z</updated>
    <published>2019-01-01T00:00:00Z</published>
    <summary type="text">Title: Formation of readiness of future physical culture teachers for professional activity
Authors: Dovgan, N. et al.
Description: The article substantiates the experimental program of the formation of future physical culture teachers’ readiness for professional activity at school. The level of the students’ motivation for physical and health care activities was found out; the level of physical fitness of students was examined; the levels of activity component formation of the students were determined. The investigation was conducted in Zhytomyr Ivan Franko State University in 2016–2018. 364 students of the faculty of physical education took part in the investigation. The students were tested through the next exercises: for male students – 100-m race, pull-ups, 3000-m race; for female students – 100-m race, push-ups, 2000-m race. Research methods: conceptual and comparative analysis, structural and systematic analysis, synthesis, generalization, testing, questionnaire survey, observation, experiment, statistical analysis. At the end of the experiment, the level of physical qualities was found to be significantly better (p&lt;0.001) among the students of EG, in comparison to CG. It is determined that the number of the students of EG who have a high level of the activity component of the future physical culture teachers’ readiness is increased at the end of the experiment comparing to CG, that proves the efficiency of the experimental program.</summary>
    <dc:date>2019-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Students' health and its interrelation with physical fitness level</title>
    <link rel="alternate" href="https://dspace.chmnu.edu.ua/jspui/handle/123456789/3233" />
    <author>
      <name>Prontenko, K.</name>
    </author>
    <author>
      <name>Griban, G.</name>
    </author>
    <author>
      <name>Dovgan, N.</name>
    </author>
    <author>
      <name>Loiko, O.</name>
    </author>
    <author>
      <name>Andreychuk, V.</name>
    </author>
    <author>
      <name>Tkachenko, P.</name>
    </author>
    <author>
      <name>Dzenzeliuk, D.</name>
    </author>
    <author>
      <name>Bloshchynskyi, I.</name>
    </author>
    <id>https://dspace.chmnu.edu.ua/jspui/handle/123456789/3233</id>
    <updated>2026-05-19T10:07:43Z</updated>
    <published>2019-01-01T00:00:00Z</published>
    <summary type="text">Title: Students' health and its interrelation with physical fitness level
Authors: Prontenko, K.; Griban, G.; Dovgan, N.; Loiko, O.; Andreychuk, V.; Tkachenko, P.; Dzenzeliuk, D.; Bloshchynskyi, I.
Description: The level and dynamics of students’ physical health during the 1st and the 2nd years of studying at a Ukrainian higher educational institution are investigated in this article, and the interrelation between the indicators of students’ health and physical fitness is defined. Seventy-three students of Zhytomyr National Agroecological University (38 male and 35 female students) took part in the investigation. The level of the students’ physical health was evaluated according to the methodology of Professor Apanasenko based on the anthropometry indicators (body weight and lengths, lung capacity, wrist power) and the state of the cardiovascular system (heart rate, blood pressure, heart rate recovery). It has been determined that the physical health level of both male and female students did not improve during the 1st and the 2nd years of studying; more than 80% of the students (both men and women) have below middle and low levels of health; the overall points are measured by 2.31–3.27 points. It indicates the lack of the efficiency of the current system of physical education at Ukrainian higher educational institutions and the necessity of the search for the means of its improvement. The correlation analysis defined an authentic interrelation (p&lt;0.05) between the students’ physical fitness level and the indicators of their health. Most of the authentic correlation connections are defined due to the results in the endurance and power exercises.</summary>
    <dc:date>2019-01-01T00:00:00Z</dc:date>
  </entry>
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