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    Makine Öğrenme Algoritmaları ile PM10 Konsantrasyon Tahmini by Kahraman Oğuz, Muhammet Ali Pekin

    Published 2022-06-01
    “…Makine öğrenme çalışması aşamasında, sıcaklık, çiğ noktası sıcaklığı, yağış, bağıl nem, rüzgar hızı, basınç, bulut kapalılığı ve bir önceki güne ait PM10 ölçümleri göz önüne alınarak, farklı makine öğrenme (karar ağacı regresyonu, destek vektör regresyonu, lasso regresyonu ve yapay sinir ağı) algoritmalarıyla ayrı ayrı çalışma yapılmış ve bu algoritmaların tutarlılıkları karşılaştırılmıştır. …”
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    Reliability of a Novel CBCT-Based 3D Classification System for Maxillary Canine Impactions in Orthodontics: The KPG Index by Domenico Dalessandri, Marco Migliorati, Rachele Rubiano, Luca Visconti, Luca Contardo, Roberto Di Lenarda, Conchita Martin

    Published 2013-01-01
    “…Cone beam computed tomography (CBCT) scans of fifty impacted canines, obtained using three different scanners (NewTom, Kodak, and Planmeca), were classified using the KPG index by three independent orthodontists. …”
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    The analysis of influence of uncertainty factors on mathematical modeling of the process of reverse expansion of ammonia in low-speed reciprocating compressor stage. Part 2 by D. Kh. Sadvakasov, G. I. Chernov, V. L. Yusha

    Published 2022-06-01
    “…The mathematical model is based on the equations of the first law of thermodynamics for a body of variable mass, the equation of state of a real gas, the Clapeyron–Clausius and Newton–Richman equations. Based on the results of the computational and parametric analysis, the applicability of known methods for calculating the heat transfer coefficient to the object under consideration is evaluated.…”
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    Etkileşimli Ders Formu ile Etkili Ders Tasarımı: Sürekli İyileştirme Örneği by Taner Onay, Şeyda Seren İntepeler

    Published 2022-08-01
    “…Ek olarak öğretim elemanları dersleri yeniden tasarlama sürecinde zorlandıklarını ve sürekli destek verilmesine gereksinim duyduklarını belirtmişlerdir. …”
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    An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in Milling by Chao Huang, Wen-An Yang, Xulin Cai, Weichao Liu, YouPeng You

    Published 2020-01-01
    “…The main problem of such methods is that they can predict the regenerative chatter stability but do not efficiently determine stability lobe diagrams (SLDs). Using third-order Newton interpolation and third-order Hermite interpolation techniques, this study proposes a straightforward and effective third-order full-discretization method (called NI-HI-3rdFDM) to predict the regenerative chatter stability in milling operations. …”
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