Essays about: "Synthetic anomalies"
Showing result 1 - 5 of 17 essays containing the words Synthetic anomalies.
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1. Detection and Analysis of Anomalies in Tactical Sensor Systems through Structured Hypothesis Testing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The project explores the domain of tactical sensor systems, focusing on SAAB Gripen’s sensor technologies such as radar, RWR (Radar Warning Receiver), and IRST (InfraRed Search and Track). The study employs structured hypothesis testing and model based diagnostics to examine the effectiveness of identifying and isolating deviations within these systems. READ MORE
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2. Unsupervised Machine Learning Based Anomaly Detection in Stockholm Road Traffic
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis is a study of anomaly detection in vehicle traffic data in central Stockholm. Anomaly detection is an important tool in the analysis of traffic data for improved urban planing. Two unsupervised machine learning models are used, the DBSCAN clustering model and the LSTM deep learning neural network. READ MORE
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3. Prediction of industrial machine failure by analysing anomalies
University essay from Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskapAbstract : The sudden downtime and unplanned maintenance not only drastically increase the maintenance cost but also decreases the production capacity for the manufacturer industries. This is because the machines on these industries fail suddenly and totally stop the production as the machine should be fixed by maintenance before it can run again. READ MORE
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4. Conversational Engine for Transportation Systems
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Today's communication between operators and professional drivers takes place through direct conversations between the parties. This thesis project explores the possibility to support the operators in classifying the topic of incoming communications and which entities are affected through the use of named entity recognition and topic classifications. READ MORE
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5. A Review of Anomaly Detection Techniques forHeterogeneous Datasets
University essay from KTH/Optimeringslära och systemteoriAbstract : Anomaly detection is a field of study that is closely associated with machine learning and it is the process of finding irregularities in datasets. Developing and maintaining multiple machine learning models for anomaly detection takes time and can be an expensive task. One proposed solution is to combine all datasets and create a single model. READ MORE