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Topic:automated detection

automated detection

Since 2021, aggregated from related topics

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    Automated detection refers to the use of technology and algorithms to identify and analyze patterns or anomalies in data without the need for human intervention. It is often used in various fields such as cybersecurity, medical diagnosis, and quality control in manufacturing. Automated detection systems can process large amounts of data quickly and efficiently, helping to detect potential threats or issues in real-time. These systems are designed to improve accuracy, reduce human error, and save time in the detection process.

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