Provide practical KPIs to monitor, including FA hit rate (percent of FAs that find root cause) and time to address yield ...
That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
Abstract: Guided wave-based structural health monitoring is extensively utilized in various industrial applications to ensure the integrity of components within industrial systems. Among these ...
China launched a new geostationary meteorological satellite on Saturday, aiming to boost the country's ability to monitor extreme weather events and high-impact climate systems with greater precision, ...
Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
It’s almost impossible to know whether a peer-review report has been generated by artificial intelligence, according to a study that put AI-detecting tools to the test. The authors fed the original ...
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