The ROC, calibration curve and DCA of the prediction model based on MRI. by Jiangfa Li (18345033)

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Table 1_Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming.docx by Shanwei Chen (12031760)

“…This study proposes an Entropy-Adaptive Differential Privacy Federated Learning method (EADP-FedAvg) to enhance the accuracy of student performance prediction while ensuring data privacy. Based on online test records from Python programming courses for Electronic Engineering students (grade 2021–2023) at the School of Physics and Optoelectronic Technology, Baoji University of Arts and Sciences, China, the study uses a Multilayer Perceptron (MLP) model and 10 distributed clients for training. …”

MSE Comparison between used methods for forecasting. by Ahmed G. Ismail (21519374)

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Feature selection using the Boruta algorithm method. by Alemu Birara Zemariam (17540938)

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Actual versus hybrid prediction method for (Maximum, Average and Minimum) demand. by Ahmed G. Ismail (21519374)

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The ROC, calibration curve and DCA of the predictive model based on enhanced CT. by Jiangfa Li (18345033)

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The ROC calibration curve and DCA of the combined prediction model based on CT and MRI. by Jiangfa Li (18345033)

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Comparison between proposed hybrid method with other used methods. by Ahmed G. Ismail (21519374)

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Python-Based Algorithm for Calculating Physical Properties of Aqueous Mixtures Composed of Substances Not Available in Databases by Jina Lee (3138492)

“…Therefore, caution is required when predicting missing property parameters using this approach as significant errors may occur. …”

Python-Based Algorithm for Calculating Physical Properties of Aqueous Mixtures Composed of Substances Not Available in Databases by Jina Lee (3138492)

“…Therefore, caution is required when predicting missing property parameters using this approach as significant errors may occur. …”

Load profile for hospital buildings before using EMS/ energy storage. by Ahmed G. Ismail (21519374)

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Results of demand response before and after using combined LHS with ANFIS. by Ahmed G. Ismail (21519374)

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Comparison of imbalanced data handling techniques using accuracy and AUC values. by Alemu Birara Zemariam (17540938)

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Prediction accuracy on varying attack types. by Mohanad Faeq Ali (21354273)

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<b>Map 104. </b>Distribution of <i>Python natalensis </i>records in south-eastern Zimbabwe. by Kurt van Wyk (20481341)

Moodle platform services effectiveness: the Role of Environment and Perceived ease of use. A case study by employing machine learning analysis ML using PYTHON 3.7program. by Aissa Kadda (21998288)

“…The logistic regression algorithm and the random forest classification algorithm were used, which proved effective in the accuracy of the results to predict and classify the professors and students acceptance for effectiveness of use with Python program, and the field results showed There was a positive effect of both perceived ease of use and professional experience on the effectiveness of using, while the role of the e-learning environment was weak. …”

Prediction accuracy analysis over time steps. by Mohanad Faeq Ali (21354273)

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Accuracy and AUC value of ML algorithms using three hyper parameter tuning techniques. by Alemu Birara Zemariam (17540938)

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The ROC, calibration curve and DCA of the combined prediction model based on tumor diameter combined with the optimal radiomics features. by Jiangfa Li (18345033)

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LSTM algorithm for cyber attack prediction in IoMT. by Mohanad Faeq Ali (21354273)

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