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 3 of 3 for “"unsupervised neural networks"”.
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Data mining, fraud detection and mobile telecommunications: call pattern analysis with unsupervised neural networks
… to be able to isolate fraudulent usage. An unsupervised learning algorithm can analyse and cluster call patterns for each subscriber in order to facilitate the fraud detection process. This research investigates the unsupervised learning potentials of two neural networks for the profiling of …
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Computational intelligence for fault diagnosis in gearbox systems
… models are employed using supervised and unsupervised neural networks. Both strategies have been implemented to prove the capability of the suggested approach. A cost reduction is performed based on removing the least utilised sensors without losing the performance of the condition …
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Bayesian autoencoders for anomaly detection: Design, uncertainty quantification, and explainability with industrial applications
… models such as autoencoders (AEs), a class of neural networks (NNs), to achieve state-of-the-art results in anomaly detection. Nevertheless, there are growing concerns regarding the safety and trustworthiness of AEs, as recent studies have reported the surprising failures of AEs on seemingly …