- 1. Investigation of the accuracy of underground control surveying networks through the application of neural network modeling
- (Content №3 2026)
- ... the convergence of the network’s variance under the adaptive protocol. As the level of uncertainty nears the Safety Constraint Layer, the system indicates that additional gyroscopic measurements are required ...
- Created on 26 June 2026
- 2. The Self-Employment Gap Between Immigrants and Natives in Europe: Dynamics and Drivers
- (Content №1 2026)
- ... 11 years), with between-country variance predominating (80 %). The 2008 crisis marks a structural shift (p = 0.055), whereas COVID-19 yields no significant impact (p = 0.705). Originality. The originality ...
- Created on 27 February 2026
- 3. Neural network method for invariant recognition of vehicles in aerospace images
- (Content №1 2026)
- ... This work proposes to develop a neural network method for invariant recognition of vehicles in high spatial resolution aerospace images using a Spatial Transformer Network. Methodology. To ensure invariance ...
- Created on 27 February 2026
- 4. Improving accuracy of dual-purpose nylon parts fabricated by fused deposition modeling
- (Content №6 2025)
- ... analysis of variance, regression analysis References. 1. Kim, M., Kim, S., & Ahn, N. (2019). Study of rifle maintenance and parts supply via 3d printing technology during wartime. Procedia Manufacturing, ...
- Created on 25 December 2025
- 5. Assessment of correctness conditionsin kinematic seismic tomography: uncertainty calculation and grid size approximation
- (Content №6 2025)
- ... and covariance of massive tomographic systems. Geophysical Journal International, 138, 36-44. https://doi.org/10.1046/j.1365-246x.1999.00858.x 5. Nolet, G. (2008). A Breviary of seismic tomography: Imaging ...
- Created on 25 December 2025
- 6. Uncertainty assessment in mineral resource estimation using geostatistics and Monte Carlo simulation
- (Content №5 2025)
- ... 5 m grid to generate estimation maps of P2O5 grades and layer thicknesses, serving as a spatial model of the deposit. The kriging outputs (mean and variance) were then used as inputs for a Monte Carlo ...
- Created on 25 October 2025
- 7. Prediction of coal seam occurrence using numerical methods and a three-dimensional geoinformation system
- (Content №5 2025)
- ... 23. Lozynskyi, V., Medianyk, V., Saik, P., Rysbekov, K., & Demydov, M. (2020). Multivariance solutions for designing new levels of coal mines. Rudarsko Geolosko Naftni Zbornik, 35(2), 23-31. ...
- Created on 25 October 2025
- 8. Social media and sustainable education: an analysis of the mediating role and competence of teachers
- (Content №3 2025)
- ... variance-based structural equation modeling. Journal of the academy of marketing science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8 30. Gold, A. H., Malhotra, A., & Segars, A. H. ...
- Created on 25 June 2025
- 9. Confirmatory factor analysis of management system standards using first & second-order analysis
- (Content №2 2025)
- ... & Kroustalis, C. M. (2006). Problems with item parceling for confirmatory factor analytic tests of measurement invariance. Organizational Research Methods, 9(3), 369-403. https://doi.org/10.1177/1094428105283384 ...
- Created on 26 April 2025
- 10. Frequency dependence of reflections on radar landmarks
- (Content №5 2024)
- ... of the local object. The variance decreases most rapidly for a small number of frequencies selected for averaging when selecting frequencies located in an interval of at least 1% relative to each other. ...
- Created on 29 October 2024
- 11. Analysis of natural and man-made factors of landslide development in the Carpathian region using GIS
- (Content №5 2024)
- ... consideration: the share of the total variance of the factors under consideration is 71–76 %, the coefficient of determination of the regression model is 0.7. Based on the results of geoinformation and ...
- Created on 29 October 2024
- 12. Identification and suppression of signals of the rear lobe of the radiation pattern of the radar antenna
- (Content №3 2024)
- ... 16(2). https://doi.org/10.1590/2179-10742017v16i2822. 13. Gu, Yu., Goodman, N. A., Hong, S., & Li, Y. (2014). Robust adaptive beamforming based on interference covariance matrix sparse reconstruction. ...
- Created on 28 June 2024
- 13. Three-dimensional density model of the mantle beneath the Ukrainian shield
- (Content №2 2024)
- ... Estimation of resolution and covariance for large matrix inversion. Geophysical Journal International, 121, 409-426. https://doi.org/10.1111/j.1365-246X.1996.tb01548.x. 13. Kurlov, N. S., Sheremet, E. M., ...
- Created on 01 May 2024
- 14. Automated building damage detection on digital imagery using machine learning
- (Content №6 2023)
- ... of maximum variance in the data. Subsequently, the K-means method is applied to cluster the feature vector space, with the predefined number of clusters reflecting the number of principal vectors. Each ...
- Created on 23 December 2023
- 15. Accounting for a positive, negative and zero sequences power in a three-phase unbalanced electrical system
- (Content №6 2023)
- ... negative, zero-sequences active and reactive power, as well as invariance power factor. Methodology. In the unbalance case in three-phase electrical system, the electrical energy quality is evaluated ...
- Created on 23 December 2023
- 16. Crowdsourcing for business strategy and sustainability: a partial least square structural equation model
- (Content №3 2023)
- ... validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8. 25. Evermann, J., & Tate, M. (2016). ...
- Created on 27 June 2023
- 17. Homomorphic filtering in digital multichannel image processing
- (Content №3 2023)
- ... images obtained through optical and infrared means in the electromagnetic spectrum. The method aims to ensure invariance with respect to positional formation conditions that determine spatial and radiometric ...
- Created on 27 June 2023
- 18. Phenol adsorption onto olive pomace activated carbon: modelling and optimization
- (Content №2 2023)
- ... is validated by a statistical method using an analysis of variance (ANOVA). Numerical optimization was performed by the desirability function to identify the optimal parameters for maximum phenol ...
- Created on 28 April 2023
- 19. Haul road condition impact on tire life of mining dump truck
- (Content №6 2022)
- ... model to simulate the effect of truck bunching due to payload variance on cycle time, hauled mine materials and fuel consumption. International Journal of Mining Science and Technology, 26(5), 745-752. ...
- Created on 25 December 2022
- 20. Prediction of changes in the vegetation cover of Ukraine due to climate warming
- (Content №4 2022)
- ... based on variance analysis; multiple ordering of the geographic locations in terms of climatic indices basing on the analysis of main components (Principle Component Analysis); development of a typological ...
- Created on 29 August 2022