Physically plausible propeller noise prediction via recursive corrections leveraging prior knowledge and experimental data.
Miltiadis KalikatzarakisAndrea CoradduMehmet AtlarStefano GaggeroGiorgio TaniLuca OnetoPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- experimental data
- physically plausible
- prior knowledge
- dynamic model
- prediction accuracy
- mathematical models
- prediction model
- signal to noise ratio
- noisy data
- noise level
- prior information
- d objects
- bayesian framework
- space time
- domain knowledge
- prediction error
- causal structure
- bayesian networks
- decision problems
- physical models
- object recognition