Temporal convolutional denoising autoencoder network for air pollution prediction with missing values

Author:

Samal K. Krishna Rani,Babu Korra Sathya,Das Santos Kumar

Funder

Ministry of Human Resource Development

Publisher

Elsevier BV

Subject

Atmospheric Science,Urban Studies,Environmental Science (miscellaneous),Geography, Planning and Development

Reference63 articles.

1. Ensemble method based on artificial neural networks to estimate air pollution health risks;Araujo;Environ. Model. Softw.,2020

2. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling;Bai,2018

3. Handling missing data in multivariate time series using a vector autoregressive model-imputation (var-im) algorithm;Bashir;Neurocomputing,2018

4. A study of k-nearest neighbour as an imputation method;Batista;His,2002

5. Nearest neighbor imputation algorithms: a critical evaluation;Beretta;BMC Med. Inform. Decision Making,2016

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