Python Script for the QSAR Model Building. by Md. Al-Amin (6270104)

Python Libraries used in tutorials. by Faye Orcales (12488403)

Details on imputation methods in R or python. by Elena Albu (15181070)

Python code for Model 2 used to predict FAZ area from FAZ length measurements. by Taku Toyama (102864)

“…<p>Python code for Model 2 used to predict FAZ area from FAZ length measurements.…”

The versions and functions of the key Python function libraries used. by Andong Chen (22367103)

Python code for Model 1 used to predict FAZ length from B-scan OCT images. by Taku Toyama (102864)

“…<p>Python code for Model 1 used to predict FAZ length from B-scan OCT images.…”

Core python codes for the machine-learning & deep learning model. by Archana Prabahar (21030164)

Enhancing QSAR Predictive Power and Explainability: Meta-Modeling and SHAP Feature Importance Analysis for Drug Discovery (Python Scripts) by Ardo Sanjaya (18321300)

Python code for Model 3 used to convert FAZ area from pixels to mm². by Taku Toyama (102864)

Forecasting for second-hand house prices in China using the GA-PSO-BP neural-network model. (Excel Dataset and Python Code) by Ji Huabin (20531408)

Dynamic Thermal Perception: Analyzing Skin Temperature Patterns Under Cyclical Heat Conditions Using Python by Nidhi Veerendra (21663146)

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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)

“…In this study, we developed a Python-based open-source algorithm compatible with the aqueous physical property models provided in the electrolyte templates of AspenTech software. …”

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

“…In this study, we developed a Python-based open-source algorithm compatible with the aqueous physical property models provided in the electrolyte templates of AspenTech software. …”

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

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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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Five Operator Lattice Simulation by James McDaniel (22522571)

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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. …”

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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ANFIS model for the four parameters. by Ahmed G. Ismail (21519374)

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