Resources

This section provides educational materials, practical guides, and reference resources related to explainable artificial intelligence, healthcare analytics, Android security, and research methodology.

The goal is to make complex concepts more accessible to students, researchers, and practitioners through concise explanations, examples, and curated learning materials.

Available Resources

IMRaD Writing

Practical guidance on scientific writing using the IMRaD structure, including Introduction, Methods, Results, and Discussion sections.

Research Methods

Educational materials covering machine learning evaluation, feature importance analysis, calibration, explainability, and counterfactual reasoning.

Datasets

Descriptions and references for public datasets used in our research projects, including healthcare and educational datasets.

Tools

A collection of software tools, libraries, and platforms that support research, data analysis, explainable AI, and Android security studies.

Glossary

Definitions of key terms and concepts frequently used in artificial intelligence, machine learning, healthcare analytics, and scientific research.

Future Additions

This repository of resources will continue to grow as new tutorials, datasets, tools, and educational materials become available.