
This software is based on an Encoder-Decoder Recurrent Neural Network to predict gaseous emissions (Nitrogen Oxides, Carbon Monoxide and Unburned Hydrocarbons) for passenger cars. The corresponding scientific publication is accepted by SAE International and will be presented at the 2025 Stuttgart International Symposium on Automotive and Engine Technology, 2.-3.July.2025.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
