Abstract:

Terrorism continues to pose a serious threat to global stability, leading to significant human and economic losses. With the rapid growth of data availability, there is an increasing opportunity to use intelligent systems to analyze patterns and generate early insights that can support preventive measures. This paper presents an AI-driven predictive framework designed to analyze and anticipate terrorism-related activities using advanced machine learning techniques

Description:

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