Abstract: This study takes 500 enterprise employees as the research sample and employs five machine learning algorithms to conduct prediction tasks for both employee performance rating and performance ...
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
A McDonald’s employee in Springtown, Texas, was arrested on Sunday after allegedly using a personal device to steal hundreds of dollars from customers through fraudulent card charges. Police say ...
This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...
(The Center Square) – A former senior investigator for the Sewerage & Water Board of New Orleans has been sentenced after admitting to a series of fraud schemes carried out while she was tasked with ...
ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...
ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...
Abstract: Employee turnover poses a significant threat to organizations, impacting stability and expense. This paper introduces a machine learning model that forecasts whether an employee will quit ...
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Former Austin Energy employee accused of fraud
A former Austin Energy employee is accused of sending nearly $1 million in city money to fake vendors connected to his family and himself. Pentagon officials sound alarm over Hegseth’s shift Trump ...
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