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doi:10.22028/D291-47843 | Title: | Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing |
| Author(s): | Schauer, Julian Goodarzi, Payman Schütze, Andreas Schneider, Tizian |
| Language: | English |
| Title: | Journal of Sensors and Sensor Systems |
| Volume: | 14 |
| Issue: | 2 |
| Pages: | 169-185 |
| Publisher/Platform: | Copernicus Publications |
| Year of Publication: | 2025 |
| DDC notations: | 500 Science |
| Publikation type: | Journal Article |
| DOI of the first publication: | 10.5194/jsss-14-169-2025 |
| URL of the first publication: | https://doi.org/10.5194/jsss-14-169-2025 |
| Link to this record: | urn:nbn:de:bsz:291--ds-478434 hdl:20.500.11880/41840 http://dx.doi.org/10.22028/D291-47843 |
| ISSN: | 2194-878X |
| Date of registration: | 15-May-2026 |
| Faculty: | NT - Naturwissenschaftlich- Technische Fakultät |
| Department: | NT - Systems Engineering |
| Professorship: | NT - Prof. Dr. Andreas Schütze |
| Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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