Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"One Class SVM"”.
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Graph neural network approaches and real-time unsupervised learning for anomaly detection in vehicular networks
… causes. Vehicular networks, as a core component of intelligent transportation systems (ITS), enable real-time vehicle–infrastructure communication through Cooperative Awareness Messages (CAMs), offering opportunities to detect anomalies in both driving behavior and communication …
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Multi-function RF for Situational Awareness
… detection using passive WiFi sensing. The first one is based on deep learning where a parallel convolutional neural network (CNN) architecture is designed to extract useful information from both magnitude and phase of the CSI. Pre-processing steps are carefully designed to preserve human motion …
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Reliability analysis for systems with outsourced components
… depending on numerous outsourced components from outside component suppliers. This practice has resulted in tremendous cost savings; it makes system reliability analysis, however, more challenging due to the limited component information available to system designers. The component …
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Data analytics for stochastic control and prognostics in cyber-physical systems
… on system stability is predicted. Finally, one-class SVM is employed to classify healthy and erroneous delays. Then, another cyber fault prognosis based on OCSVM is proposed"--Abstract, page iv.
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Advanced AI techniques for comprehensive traffic incident analysis: enhancing incident duration prediction and accident risk forecasting
… across various road network layouts, handling classification and regression problems, addressing outliers and imbalanced data classes. This framework is designed to handle both classification and regression problems effectively, while also addressing the challenges of outliers and imbalanced …
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Anomaly detection in laboratory tests subject to gatekeeping in selected health facilities
… K-means clustering, isolation forests and one-class Support Vector Machines (SVM). The recommended wards for intervention were mostly the maternity related wards at major hospitals. Within these wards, there was evidence of ordering tests that violated the eGK rules more than other wards. …
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CLASSIFICATION OF ONE-DIMENSIONAL AND TWO-DIMENSIONAL SIGNALS
This dissertation focuses on the classification of one-dimensional and two-dimensional signals. The one-dimensional signal classification problem involves the classification of brain signals for identifying the emotional responses of human subjects under given drug conditions. A strategy is …
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Deep Learning Empowered Unsupervised Contextual Information Extraction and its applications in Communication Systems
… By using information processing techniques, one could effectively address this problem by sending only pertinent and critical information to the network controller. Nevertheless, finding critical information from high-dimensional observation is not an easy task, especially when large amounts …