Перегляд за Автор "Derzhak, V.V."

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    Approach to image preprocessing for household waste classification in circular economy
    (2025) Derzhak, V.V.; Mazurets, O.V.; Мазурець, Олександр Вікторович
    This work proposes an intelligent image preparation pipeline for stable multi-class classification of household waste in field conditions, emphasizing data quality control rather than architectural complexity. A coordinated scheme of non-reference quality assessment, guided selection of training frames, and carefully designed partitioning protocols significantly improves model stability under realistic variations in lighting, background contamination, small object occlusions and inter-site distribution shifts. Using MobileNetV3-Small with standardized hyperparameters, the study demonstrates higher reliability, reduced metric variability, and consistent behavior across critical subsets without sacrificing class representativeness. The methodology is reproducible, hardware-efficient, and suitable for industrial sorting systems, supporting circular economy practices by increasing fraction purity and reducing material loss. Future work will extend cross-site benchmarking and explore threshold dynamics for different waste categories.