Model-based imputation of sound level data at thoroughfare using computational intelligence
The aim of the paper was to present the methodology of imputation of the missing sound level data, for a period of several months, in many noise monitoring stations located at thoroughfares by applying one model which describes variability of sound level within the tested period. To build the model,...
Enregistré dans:
Auteur principal: | Kekez Michał |
---|---|
Format: | article |
Langue: | EN |
Publié: |
De Gruyter
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/f54bdd5c1d3b4502bfad798e36b828b3 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Contextual Imputation With Missing Sequence of EEG Signals Using Generative Adversarial Networks
par: Woonghee Lee, et autres
Publié: (2021) -
Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy
par: SCHIATTINO,IRENE, et autres
Publié: (2005) -
EFFECT OF NATURE SOUND THERAPY ON THE LEVEL OF CORTISOL IN POSTPARTUM PRIMIPARA
par: Yulinda Laska, et autres
Publié: (2018) -
Design, development and test of the gearbox condition monitoring system using sound signal processing
par: M Zamani, et autres
Publié: (2016) -
A System for the Detection of Polyphonic Sound on a University Campus Based on CapsNet-RNN
par: Liyan Luo, et autres
Publié: (2021)