The application of machine learning to anomaly detection Anomaly detection has long been a focus in data mining, which laid the groundwork for many modern ML approaches. Foundational works in data ...

In intelligent transportation systems (ITS), machine learning is highly effective in anomaly detection for state estimation (SE) in traffic flow measurement, but it requires resource-intensive ...

Financial anomaly detection is crucial for maintaining market order and protecting investor interests. This study explores the application of machine learning in financial anomaly detection. Using ...

BackgroundEarly detection of left and right ventricular systolic dysfunction ... A study flow diagram is provided in Figure ... Barham P, Brevdo E, Chen Z, Citro C, Corrado GS, Davis A, Dean J, Devin ...

Non-parametric, learning algorithms based on machine learning principles are therefore desirable as they can learn the nature of normal measurements and autonomously adapt to variations in the ...

In this era of digital transformation, buzzwords like ‘Industry 4.0’ and ‘digitalization’ have become part of our daily vocabulary. But behind these trendy terms lies a potent technological innovation ...

Most of the AI anomaly-detection use cases are typically on edge AI applications. Anomalies need to be quickly detected, and then identify the cause and report it accordingly to take appropriate ...