# A new proposal for the prediction of an aircraft engine fuel consumption: a novel CNN-BiLSTM deep neural network model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-new-proposal-for-the-prediction-of-an-aircraft-engine-fuel-consumption-a-novel/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sedat Metlek |
| Citations | 36 |
| DOI | 10.1108/aeat-05-2022-0132 |
| Fields | Chemical Engineering,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4323316527 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Sedat Metlek](https://scholariq.org/researchers/sedat-metlek/)

## Paper primary topic

- [Vehicle emissions and performance](https://scholariq.org/topics/vehicle-emissions-and-performance/)

## Paper topics

- [Vehicle emissions and performance](https://scholariq.org/topics/vehicle-emissions-and-performance/)
- [Advanced Combustion Engine Technologies](https://scholariq.org/topics/advanced-combustion-engine-technologies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.