The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

ROC curve and AUC value of all models. by Tiago de Oliveira Barreto (20485207)

“…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”

Polarization curve of galvanized steel. by Shan Lin (228596)

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Actual statistical data of steel enterprises. by Junwen Chen (4862806)

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Scope and boundary of iron and steel system. by Junwen Chen (4862806)

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Residual stresses versus steel strength. by Yihan Tu (22258445)

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Electrochemical impedance spectroscopy of galvanized steel. by Shan Lin (228596)

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Polarization curve of Q235 carbon steel. by Shan Lin (228596)

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Electrochemical impedance spectroscopy of Q235 carbon steel. by Shan Lin (228596)

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Open circuit potential test results of galvanized steel. by Shan Lin (228596)

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AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre by Madeline Jarvis-Cross (22394247)

“…Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre</p>…”

Area under the curve (AUC) for external validation performance. by Junichi Kushioka (12236447)

Greenhouse gases and carbon dioxide emissions associated with cement production for constructing concrete check dams have decreased since 2015. by Tomohumi Huzita (20565332)

Open circuit potential test results of Q235 carbon steel. by Shan Lin (228596)

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Chun Fai Martin Cheng: How can we decrease metabolism in the New Zealand green-lipped mussels, Perna canaliculus, for better transport? by Cheng Martin (11717816)

The experimental set-up we used. by Hillary Jean-Joseph (9676166)

Dataset with steel insert. by Briya Tariq (19666901)

“…The attenuation profile also demonstrated high linearity (R² >0.95) and lower RMSE across all material concentrations, even in the presence of aluminium and steel. Material identification accuracy for iodine and hydroxyapatite (with and without metal inserts) remained consistent, minimally impacting AUC values. …”

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…This research evaluates the "WeARTolerance’’ arts-based program in reducing mental health stigma among diverse youths. …”

Steel casing application. by Jie Li (15030)

AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves. by Naruyoshi Gyoutoku (22537831)