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| Anomaly Detection on Truck Histograms |
| Level | Master + |
|---|---|
| OneLineSummary | Anomaly Detection on Truck Histograms + |
| Prerequisites | Artificial Intelligence and Learning Systems courses; good knowledge of machine learning and neural networks; python programming skills for implementing machine learning algorithms + |
| References | Learning Low-Dimensional Representation of Bivariate Histogram Data https://ieeexplore.ieee.org/abstract/document/8464276 |
| StudentProjectStatus | Open + |
| Supervisors | Sepideh Pashami + , Peter Berck + |
| TimeFrame | Winter 2018, Spring 2019 + |
| Title | Anomaly Detection on Truck Histograms + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 11 October 2018 09:06:16 + |
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