Essays about: "Anomali detektering"
Showing result 1 - 5 of 6 essays containing the words Anomali detektering.
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1. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. READ MORE
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2. Credit Card Transaction Fraud Detection Using Neural Network Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With increasing usage of credit card payments, credit card fraud has also been increasing. Therefore a fast and accurate fraud detection system is vital for the banks. To solve the problem of fraud detection, different machine learning classifiers have been designed and trained on a credit card transaction dataset. READ MORE
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3. Data-driven cyberattack detection for microgrids
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Microgrids are undergoing higher penetrations of renewables and associated power electronics, along with precise and sophisticated control and communication networks. However, such cyber-physical systems might suffer from potential cybersecurity threats and inherent low inertia. READ MORE
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4. Fraud Detection on Unlabeled Data with Unsupervised Machine Learning
University essay from KTH/Hälsoinformatik och logistikAbstract : A common problem in systems handling user interaction was the risk for fraudulent behaviour. As an example, in a system with credit card transactions it could have been a person using a another user's account for purchases, or in a system with advertisment it could be bots clicking on ads. READ MORE
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5. Anomaly Detection in Microservice Infrastructures
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Anomaly detection in time series is a broad field with many application areas, and has been researched for many years. In recent years the need for monitoring and DevOps has increased, partly due to the increased usage of microservice infrastructures. READ MORE