Author

Oleksandr Kuchanskyi

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Open access Aug 2026

Development of a data-driven method for automated water-flow monitoring and short-term assessment in irrigation hydrotechnical systems

The object of the study is the process of automated monitoring of water-flow parameters at irrigation hydraulic structures. The problem solved is the transformation of irregular supervisory control and data acquisition (SCADA) records from multichannel Doppler sensors into reliable time series for water accounting and...

Oleksandr Kuchanskyi, A. Neftissov, Artem Biloshchytskyi et al. · Eastern-European Journal of... · 0 citations

Open access Sep 2026

A Multilevel Visual and Textual Framework for Near-Duplicate Diagram Detection in Electronic Documents

A cascaded multimodal framework combining perceptual hashing, Siamese Residual Network with 18 layers, Siamese Residual Network with 18 layers, Distillation with No Labels, ver. 2 (DINOv2)visual representations, and a text-similarity classifier is proposed to detect near-duplicate diagram detection in electronic docume...

S. Biloshchytska, Oleksandr Kuchanskyi, Yurii Andrashko et al. · Information · 0 citations

Open access Aug 2026

Forecastability-Oriented Sensor-to-Forecast Workflow for Site-Based Water-Level Monitoring Using High-Frequency Doppler Data: A Talas River Case Study

High-frequency Doppler monitoring can support operational water-resource assessment in semi-arid and irrigation-dependent rivers, but existing sensor-to-forecast workflows often address data quality control, temporal diagnostics, and forecasting as separate tasks. This limits their ability to determine whether irregula...

Oleksandr Kuchanskyi, A. Biloshchytskyi, A. Neftissov et al. · Water · 0 citations