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Author

N. Grechanikov

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Conference Sep 2026

A Comparative Study of Intelligent Methods for Steel Surface Defect Classification in Industrial Quality Control

The intelligent transformation of manufacturing processes increasingly relies on automated visual and parametric inspection of intermediate products, where machine learning models classify surface defects from sensor-derived features. Despite the rapid progress of deep tabular learning architectures, the relative perfo...

N. Grechanikov, А. М. Князев, V. Tynchenko · 0 citations
Conference Sep 2026

A Comparative Study of Machine Learning, Deep Learning, and Foundation Models for Short-Term Electricity Load Forecasting

Short-term electricity load forecasting is a key task for smart-grid operation, industrial energy management, and predictive planning. This paper presents a reproducible comparative study of classical, machine-learning, deep-learning, and foundation-model approaches for hourly load forecasting. The benchmark includes S...

А. М. Князев, N. Grechanikov, V. Tynchenko · 0 citations

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