Filtering Techniques for Satellite Telemetry Anomaly Detection Vector
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| Formato: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901477111365632 |
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| author | Bikhit, Mina Ruszczak, Bogdan |
| author_facet | Bikhit, Mina Ruszczak, Bogdan |
| contents | <p>This repository contains the supplementary material for the paper “Filtering Techniques for Satellite Telemetry Anomaly Detection” by Mina Bikhit and Bogdan Ruszczak.</p> <p>The uploaded file `loo-kde_filters.zip` contains a containerized computational environment prepared to support reproducibility of the experiments reported in the paper. The archive includes the Docker image together with the notebook and supporting files required for the filtering analysis.</p> <p>The materials focus on post-processing filter evaluation for satellite telemetry anomaly detection based on leave-one-out kernel density estimate (LOO-KDE) scoring. The experimental workflow includes the filtering notebook, the dataset used in the study, and the corresponding results files packaged inside the containerized setup.</p> <p>This repository is related to the earlier Zenodo release associated with the Mo-LOO-KDE work, but it specifically accompanies the paper “Filtering Techniques for Satellite Telemetry Anomaly Detection” and contains the materials prepared for that study. The related earlier release is available at: https://zenodo.org/records/16707951</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19261348 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Filtering Techniques for Satellite Telemetry Anomaly Detection Vector Bikhit, Mina Ruszczak, Bogdan <p>This repository contains the supplementary material for the paper “Filtering Techniques for Satellite Telemetry Anomaly Detection” by Mina Bikhit and Bogdan Ruszczak.</p> <p>The uploaded file `loo-kde_filters.zip` contains a containerized computational environment prepared to support reproducibility of the experiments reported in the paper. The archive includes the Docker image together with the notebook and supporting files required for the filtering analysis.</p> <p>The materials focus on post-processing filter evaluation for satellite telemetry anomaly detection based on leave-one-out kernel density estimate (LOO-KDE) scoring. The experimental workflow includes the filtering notebook, the dataset used in the study, and the corresponding results files packaged inside the containerized setup.</p> <p>This repository is related to the earlier Zenodo release associated with the Mo-LOO-KDE work, but it specifically accompanies the paper “Filtering Techniques for Satellite Telemetry Anomaly Detection” and contains the materials prepared for that study. The related earlier release is available at: https://zenodo.org/records/16707951</p> |
| title | Filtering Techniques for Satellite Telemetry Anomaly Detection Vector |
| url | https://doi.org/10.5281/zenodo.19261348 |