Essays about: "event detection"
Showing result 1 - 5 of 148 essays containing the words event detection.
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1. Detecting Fraudulent User Behaviour : A Study of User Behaviour and Machine Learning in Fraud Detection
University essay from Uppsala universitet/Analys och partiella differentialekvationerAbstract : This study aims to create a Machine Learning model and investigate its performance of detecting fraudulent user behaviour on an e-commerce platform. The user data was analysed to identify and extract critical features distinguishing regular users from fraudulent users. READ MORE
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2. Analysis of Atmospheric Muon Bundles with IceCube
University essay from Uppsala universitet/HögenergifysikAbstract : This work is a preliminary study of the background of a search for dark, long-lived particles in the IceCube detector. The high flux of atmospheric muons in IceCube is considered background to the detector's primary science goal, which is to detect astrophysical neutrinos through the emission of Cherenkov radiation. READ MORE
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3. Systematically Analyzing Synthetic Automotive Data to support Space Filling Curves-based Maneuver Detection
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Context: In autonomous driving system development, the identification of maneuvers within large datasets is progressively becoming more complex, primarily due to the inherent complexity arising from the multidimensional nature of the data describing these maneuvers. In this context, algorithms based on Space-Filling Curves can be an effective way to index datasets by creating a single-dimensional representation of the maneuvers. READ MORE
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4. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE
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5. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis
University essay from KTH/Matematik (Avd.)Abstract : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. READ MORE