The growing importance of university rankings in higher education requires evaluation methods that are both predictive and interpretable. Traditional ranking approaches are usually based on fixed weighted indicators, while purely data-driven machine learning models often provide limited transparency for institutional d...
N. Smailov, Nursultan Kuldeyev, Akezhan Sabibolda et al.· Informatyka Automatyka Pomia...· 0 citations
This study investigates the automatic classification of crop phenological stages from low-altitude UAV RGB imagery. The dataset included 11,489 images of five crops: sunflower, rapeseed, soybean, wheat, and barley. The images were annotated using the Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie (B...
R. Mukhamediev, V. Smurygin, Liudmila Gorodetskaya et al.· Drones· 0 citations
Urban air pollution caused by fine particulate matter with an aerodynamic diameter of less than 2.5 micrometers (PM2.5) remains a major environmental and public health challenge, especially in metropolitan areas with spatially heterogeneous pollutant distribution. Purpose. The study aims to develop and evaluate a compu...
L. Gorodetskaya, Kirill Garinskikh, Nursultan Kuldeyev et al.· INNOVATIVE TECHNOLOGIES AND...· 0 citations
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