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Dr. Abdul Majid Farooqi Dr. Abdul Majid Farooqi

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Jul 2026

An Intelligent Machine Learning Based Approach for Fraud Detection in Financial Transactions

Comparative analysis demonstrates that ensemble learning methods, particularly Random Forest and XGBoost, outperform traditional classification techniques by achieving higher detection rates and lower false positive rates.

Dr. Abdul Majid Farooqi Dr. Abdul Majid Farooqi, Laiba Khan LAIBA KHAN · 0 citations
Jul 2026

Evaluating AI Risk and Governance in Generative AI Systems: A Prompt-Level Analysis

The Prompt-Level AI Risk Governance Framework (PLAIRGF), a four-phase architectural model covering Prevention, Detection, Response, and Continuous Improvement, is introduced, with a structured alignment between PLAIRGF controls and international compliance standards, offering organizations a practical, audit-ready foundation for deploying LLM-based systems securely.

Dr. Abdul Majid Farooqi Dr. Abdul Majid Farooqi, Ziya Anjum Ziya Anjum · 0 citations

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