The Effect of Machine Learning Algorithms on the Prediction of Layer-by-Layer Coating Properties by Tijana Šušteršič (14519970)

“…Recently, we have demonstrated a preliminary ML-based model for coating thickness prediction. In this paper, we compared several ML algorithms for optimizing a methodology for coating thickness prediction, namely, linear regression, Support Vector Regressor, Random Forest Regressor, and Extra Tree Regressor. …”

Multi-scale representation of two-dimensional linear graphs. by Guangmei Ma (21432861)

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Judgment matrix of control layer U. by Yixuan Lu (9987980)

Judgment matrix of criterion layer U₃. by Yixuan Lu (9987980)

Judgment matrix of criterion layer U₄. by Yixuan Lu (9987980)

Judgment matrix of criterion layer U₂. by Yixuan Lu (9987980)

Judgment matrix of criterion layer U₁. by Yixuan Lu (9987980)

Expert scoring values of criterion layer U₁. by Yixuan Lu (9987980)

Order of locations tested in the SORS algorithm using four different reconstruction models. by Runjie Bill Shi (18309700)

The experimental basic environmental parameters. by Guangmei Ma (21432861)

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Improved HMAX model running process. by Guangmei Ma (21432861)

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Significant region segmentation. by Guangmei Ma (21432861)

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CNN structure. by Guangmei Ma (21432861)

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Comprehensive comparison of existing methods. by Guangmei Ma (21432861)

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Method training loss testing. by Guangmei Ma (21432861)

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Analysis of rotational non-deformation characterization. by Guangmei Ma (21432861)

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Segmentation results of physical images. by Guangmei Ma (21432861)

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Scale ratio change test. by Guangmei Ma (21432861)

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Standard model selected for research. by Guangmei Ma (21432861)

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RI-HMAX image processing technology. by Guangmei Ma (21432861)

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