A comparative study of ML algorithms for anti-money laundering (AML) detection using the IBM AML dataset. Implemented Decision Trees, Random Forests, XGBoost, LGBM, SGD, Logistic Regression, and SV ...

This work investigates the effectiveness of Explainable AI (XAI) approaches, specifically Kernel SHAP, to increase the transparency and trustworthiness of machine learning models for heart disease ...

Due to densely populated urban environment leads to huge traffic in peak hours, Intelligent traffic light management system becomes paramount for emergency vehicle transportation on leveraging the ...

These metrics comprehensively measure model performance from different perspectives, ensuring that we can identify the strengths and weaknesses of the models in various application scenarios and make ...

By leveraging the Power Platform CLI, you can streamline your workflow and deploy sites with ease. Why Use GitHub Spark + Codespaces and Host in Power Pages? GitHub Spark is an AI-powered tool that ...

As a sensitivity analysis, we performed 1:1 nearest‐neighbor propensity score matching without replacement, using logistic regression‐derived scores based on age, body mass index, and eGFR.