- 1. Improvement of the method for optimization of predicting the efficiency of a robotic platform
- (Content №3 2024)
- ... in regression models from machine learning. These acquired models are employed for predicting the efficiency of a specific configuration of a robotic platform designed to perform particular practical tasks. ...
- Created on 28 June 2024
- 2. Optimal parameters of blasting destruction in the Ben Azouz quarry based on study of strength limestone rock
- (Content №3 2024)
- ... methods. Statistical analysis was performed on simple and multiple regression equations. Findings. Linear regression models have a higher estimated success rate, as expected. The best model for estimating ...
- Created on 28 June 2024
- 3. Modeling the return on investment in human capital in the IT industry of Ukraine
- (Content №1 2024)
- ... of Ukraine), economic mathematical modeling (for the construction of a multiple regression model that reflects the patterns of influence of factors on the income of IT specialists that exist in reality). ...
- Created on 29 February 2024
- 4. Gross regional product in Ukraine: two-dimensional analysis of regularities and territorial features
- (Content №1 2024)
- ... For each group panel series of data, random effects regression models were built in order to determine the presence of regularities and specific features of regional development in different groups. Findings. ...
- Created on 29 February 2024
- 5. Modeling arithmetic systems of elliptic curve cryptography using Microsoft Excel VBA
- (Content №1 2024)
- ... https://doi.org/10.1016/j.comcom.2016.03.014. 15. Arunkumar, R., Velmurugan, S., Chinnaiah, B., Charulatha, G., Prabhu, M. R., & Chakkaravarthy, A. P. (2023). Logistic Regression with Elliptical ...
- Created on 29 February 2024
- 6. Modeling pH changes and electrical conductivity in surface water as a result of mining activities
- (Content №1 2024)
- ... Regression for predicting the content of pollutants. In-situ measurement/data collection in the upstream and downstream were carried out to evaluate the potential impact of mining activities on surface ...
- Created on 29 February 2024
- 7. Investment principles in value-target processes of electricity consumption at iron ore enterprises
- (Content №6 2023)
- ... the amount of investment contributions at the enterprises of Kryvyi Rih Iron Ore Combine on the basis of regression models. It is expedient to determine the question of choosing an optimization option ...
- Created on 23 December 2023
- 8. Analysis and prediction of surface settlements during the digging of underground mining works (Algeria)
- (Content №6 2023)
- ... 8. Mbarak, W. K., Cinicioglu, E. N., & Cinicioglu, O. (2020). SPT based determination of undrained shear strength: Regression models and machine learning. Frontiers of Structural and Civil Engineering, ...
- Created on 23 December 2023
- 9. Shaping sustainable strategies of freight forwarding companies in the environment of the road transport market
- (Content №5 2023)
- ... programming were applied to develop the dedicated software for computer simulations of the forwarder’s operation within the market of transport services. The regression analysis was used as the main methodology ...
- Created on 27 October 2023
- 10. Features of crisis management of business entities during martial law
- (Content №4 2023)
- ... and regression analysis were used in the development of the logit-model for estimating the probability of bankruptcy. The research’s information base was backed by the works of Ukrainian and foreign scientists, ...
- Created on 28 August 2023
- 11. Financial security of macro regions in the period of military aggression
- (Content №4 2023)
- ... will reproduce the dynamics of the number of displaced persons people to forecast the financial provision of macro-regions using the method of correlation-regression analysis. Invariable indicators that ...
- Created on 28 August 2023
- 12. Investigation of combined ensemble methods for diagnostics of the quality of interaction of human-machine systems
- (Content №4 2023)
- ... scores to a multiple regression model to generate prediction. Findings. Four combinations of ensemble indices have been developed and implemented in software, which are characterized by a minimum value ...
- Created on 28 August 2023
- 13. Parameterization of the statistical model for electrical energy efficiency control
- (Content №4 2023)
- ... 2023, (4): 096 - 102 https://doi.org/10.33271/nvngu/2023-4/096 Abstract: Purpose. Justification of a structural construction and parameters of a regression model for the normalization of specific energy ...
- Created on 28 August 2023
- 14. Improving the technology of extracting coal concentrate from fly ash from thermal power plants
- (Content №4 2023)
- ... and foaming agent up to 250 g/t was determined experimentally, and the required flotation time was determined. Calculations were performed to determine regression coefficients and the degree of influence ...
- Created on 28 August 2023
- 15. Predicting zones of increased water inflows in local folded structures
- (Content №4 2023)
- ... 1, 50-57. 9. Zhao, D., & Wu, Q. (2018). An approach to predict the height of fractured water-conducting zone of coal roof strata using random forest regression. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-29418-2. ...
- Created on 28 August 2023
- 16. Crowdsourcing for business strategy and sustainability: a partial least square structural equation model
- (Content №3 2023)
- ... & Vehtari, A. (2019). R-squared for Bayesian Regression Models. The American Statistician, 73(3), 307-309. https://doi.org/10.1080/00031305.2018.1549100. 19. Barrett, G. B. (2020). The Coefficient ...
- Created on 27 June 2023
- 17. Homomorphic filtering in digital multichannel image processing
- (Content №3 2023)
- ... (2022). Meticulous Land Cover Classification of High-Resolution Images Based on Interval Type-2 Fuzzy Neural Network with Gaussian Regression Model. Remote Sensing, 14, 3704. https://doi.org/10.3390/rs14153704. ...
- Created on 27 June 2023
- 18. Profitability determinants of companies in IT industry: case of Ukraine
- (Content №2 2023)
- ... 62 of the NACE “Computer programming, consultancy and related activities” during 2013–2020. Correlation and regression analysis was used to build a multifactor model of linear regression, which describes ...
- Created on 28 April 2023
- 19. Influence of Industry 4.0 on strategies of companies entering the global market of data integration services
- (Content №2 2023)
- ... integration services and to determine the company’s development scenarios in the market in the conditions of Industry 4.0); correlation-regression analysis (to study the dependence of marketing costs on ...
- Created on 28 April 2023
- 20. Forecasting the innovation of Ukraine’s economic development in a global dimension
- (Content №1 2023)
- ... using a regression model of the dependence of this indicator on the specific weight of innovation-active enterprises in the total number of industrial enterprises and innovation costs. The forecasting ...
- Created on 25 February 2023