Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation-Reference-Cited by-同舟云学术

Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation

Author:

Loy-Benitez Jorge,Li Qian,Nam KiJeon,Yoo ChangKyoo

Funder

National Research Foundation of Korea

Korean Ministry of Science and ICT

Railway Technology Research Project of the Ministry of Land Infrastructure and Transport

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference68 articles.

1. Optimality of training/test size and resampling effectiveness of cross-validation estimators of the generalization error;Afendras,2015

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