Essays about: "Anomaly detection"
Showing result 36 - 40 of 332 essays containing the words Anomaly detection.
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36. W2R: an ensemble Anomaly detection model inspired by language models for web application firewalls security
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Nowadays, web application attacks have increased tremendously due to the large number of users and applications. Thus, industries are paying more attention to using Web application Firewalls and improving their security which acts as a shield between the app and the internet by filtering and monitoring the HTTP traffic. READ MORE
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37. Time Series Anomaly Detection in Radio Test
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Production tests evaluate products with automated systems enabling swift data collection, while anomaly detection in the gathered data is widely employed in industries for damage prediction and issue prevention. Ericsson, a leader in the telecommunications industry, has a Temperature Quality Test (TQT) platform which involves precise performance measurements on radios, gathering abundant data in both single value and time series formats to evaluate and improve tested products. READ MORE
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38. Queryable Workflows: Extending Dataflow Streaming with Dynamic Request/Reply Communication
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Stream processing systems have been widely adopted in applications such as recommendation systems, anomaly detection, and system monitoring due to their real-time capabilities. Improving observability in stream processing systems can further expand their application scenarios, including the implementation of stateful serverless applications. READ MORE
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39. Can iba detect the next compressor failure? : Condition-based monitoring applied to nitrogen compressor – a case study
University essay from Högskolan i Gävle/ElektronikAbstract : Production of steel powder is done by atomization of a molten steel stream. Atomization is done by feeding high pressure nitrogen gas through nozzles, creating jets of gas which scatter the molten steel stream into powder. The steel powder falls through the atomization tower whilst it cools and solidifies. READ MORE
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40. Applying Machine Learning Techniques for Anomaly Detection in Wooden Plank Images
University essay from Uppsala universitet/Avdelningen Vi3Abstract : Anomaly detection is an important first step of quality control in manufacturing processes. In wooden planks, anomalies such as broken knots and resin pockets can lower the quality of the final product. With the help of machine vision, inspections can be made faster, at higher accuracy, and at a lower cost. READ MORE