Abstract:

In recent years, theft detection has become a critical concern across various domains such as retail, finance, and cybersecurity. Traditional theft detection algorithms often struggle to adapt to the dynamic and ambiguous nature of theft-related data, leading to high false positive rates and inadequate detection accuracy

Description:

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