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

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.…”

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.…”

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)

Code program. by Honglei Pang (22693724)

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Motif Code Unification and TDCM Supplemental by William Terry (22279591)

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Perceptron python code by MOURAD OULID-AISSA (22115083)

“…<p dir="ltr">Perceptron Python code used in project on AI in criminal justice based on a predictive approach to threat detection. …”

SVM python code by MOURAD OULID-AISSA (22115083)

“…<p dir="ltr">SVM python code used in project on AI in criminal justice based on a predictive approach to threat detection. …”

<b>Python codes for machine learning algorithms for subclinical mastitis prediction</b> by Hamza Yalçin (21182759)

Motif Code Theory Figshare Documentation by William Terry (22279591)

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Five Operator Lattice Simulation by James McDaniel (22522571)

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ThermoPred: AI-Enhanced Quantum Chemistry Data Set and ML Toolkit for Thermochemical Properties of API-Like Compounds and Their Degradants by Diullio P. Santos (22770713)

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

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

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

Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

“…By visualising morphological features important for model predictions, XAI verified that AI decisions align with biologically meaningful traits, thus empowering transparent, individual-based assessments that can also be generalised to other ecosystems.…”

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

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

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