Essays about: "One-Class Classification"
Showing result 6 - 10 of 21 essays containing the words One-Class Classification.
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6. Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data
University essay from Lunds universitet/Matematik LTHAbstract : In camera production the image quality is of utter importance. Several tests during the production ensure this high quality. In this thesis the possibility of creating a final test, that classifies the image quality with the help of machine learning, specifically convolutional neural networks, was investigated. READ MORE
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7. BERT Language Modelling on Network Log Data for Generalized Unsupervised Intrusion Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Intrusion detection is the most prominent topic of modern computer network security. The potential attack surface is growing exponentially every year. To cope with the amounts of data which accrue, automated methods for detecting undesired network activity are the only feasible solution. READ MORE
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8. Convolutional Neural Networks: Performance on Imbalanced Data
University essay from Umeå universitet/StatistikAbstract : Imbalanced data is a major problem in machine learning classification, since predictive performance can be hindered when one class occurs more frequently than the others. For example, in medical science, imbalanced data sets are very common. READ MORE
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9. Clutter Detection in Radar Applications
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Radars have been used for detection purposes in safety applications (i.e., blind spot detection radar in cars) extensively. The existing detection methods, however, are not flawless. READ MORE
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10. Adaptive Anomaly Detection for Large IoT Datasets with Machine Learning and Transfer Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : As more IoT devices enter the market it becomes increasingly important to develop reliable and adaptive ways of dealing with the data they generate. These must address data quality and reliability. READ MORE