A Hybrid Physics-Based and Stochastic Neural Network Model Structure for Diesel Engine Combustion Events
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| datacite.relatedItem.issue | 1 | |
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| datacite.relatedItem.relatedItemIdentifier | 2624-8921 | |
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| datacite.relatedItem.title | Vehicles | |
| datacite.relatedItem.volume | 4 | |
| dc.contributor.author | King Ankobea-Ansah | |
| dc.contributor.author | Carrie Michele Hall | |
| dc.date.accessioned | 2025-05-21T03:33:42Z | |
| dc.date.available | 2025-05-21T03:33:42Z | |
| dc.date.issued | 2022 | |
| dc.identifier.doi | https://doi.org/10.3390/vehicles4010017 | |
| dc.identifier.other | jz000164-0017 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33822 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 530 | |
| dc.title | A Hybrid Physics-Based and Stochastic Neural Network Model Structure for Diesel Engine Combustion Events | |
| dc.type | Article | |
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