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A NOVEL APPROACH TO INDUSTRIAL FABRIC DEFECT ANALYSIS USING ADAPTIVE ANOMALY REASONING AND HIERARCHICAL FEATURE LEARNING

Feyzanur Ozden, Canan Tastimur

Açıklanabilir Yapay Zeka, Anomali Konumlandırma, Bağlamsal Temsil Öğrenimi, Endüstriyel Arıza Denetimi, Uyarlanabilir Özellik Birleştirme,
Adaptive Feature Fusion, Anomaly Localization, Contextual Representation Learning, Explainable Artificial İntelligence, Industrial Defect Inspection,

Technological Applied Sciences, Year : 2026, Volume : 21, Issue : 2, Published Date : 1.04.2026

ATIKSU ARITMA TESİSLERİNDE BİYOKİMYASAL OKSİJEN İHTİYACININ FARKLI REGRESYON MODELLERİYLE TAHMİN EDİLMESİ
ESTIMATION OF BOD IN WASTEWATER TREATMENT PLANT WITH DIFFERENT REGRESSION MODELS

Osman Tuğrul BAKİ, EGEMEN ARAS

Biyokimyasal Oksijen İhtiyacı, Çoklu Regresyon Analizi, Çoklu Değişkenli Uyarlanabilir Regresyon Eğrileri, Atıksu Arıtma Tesisi, Kimyasal Oksijen İhtiyacı ,
Biochemical Oxygen Demand, Multiple Regressions Analysis, Multivariate Adaptive Regression Splines, Waste Water Treatment Plant, Chemical Oxygen Demand,

Engineering Sciences, Year : 2018, Volume : 13, Issue : 2, Published Date : 1.04.2018

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