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
Spacecraft and launch-vehicle structures require lightweight multipoint monitoring under combined mechanical, thermal, and environmental loads. This study presents an analytical fiber Bragg grating (FBG) sensor-network workflow integrating reference-grating temperature compensation, regional strain assessment, opposite...
N. Smailov, K. Yssyraiyl, Gulbahar Yussupova et al.· Journal of Sensor and Actuat...· 0 citations
These findings apply to direct early concatenation with the shared 1D-CNN backbone and do not imply that feature fusion is generally ineffective, and do not imply that feature fusion is generally ineffective.
N. Smailov, M. Zhekambayeva, D. Bauyrzhankyzy et al.· Signals· 0 citations
The results confirm that the proposed AI-based supervisory method can identify inefficient operating states and support the selection of energy-efficient control parameters and support the selection of energy-efficient control parameters.
A. Abdykadyrov, A. Kuttybayeva, Kyrmyzy Taissariyeva et al.· Archives of Electrical Engin...· 0 citations
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