Explore how AI-driven fraud detection is strengthening security in online casino operations through real-time monitoring, ...
Abstract: This paper focuses on the application of image dehaze algorithms in highway scenarios, proposing a novel dehaze algorithm and a self-supervised transfer learning method for practical highway ...
The financial sector's embrace of machine learning has reached a critical inflection point in 2026. While AI has become the cornerstone of fraud detection and algorithmic trading, a new stress test is ...
Abstract: Traditional event detection methods in nonintrusive load monitoring (NILM) often rely on manual labeling and predefined statistical assumptions, limiting their adaptability to dynamic ...