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Abstract: This research presents the development of an anomaly and data breach detection system using Python to analyze internet traffic logs. When comparing various machine learning algorithms, it ...

Discussion: This framework sets a new standard for sustainable and data-driven crop protection strategies. Recent works in spatiotemporal modeling for agricultural anomaly detection primarily rely on ...

Abstract: Log anomaly detection (LAD) is essential to ensure the safe and stable ... thereby enhancing the generalization ability of the model to evolving data. Extensive experiments conducted on two ...