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"Designing a steady-state experimental dataset for predicting transient ..."

Seunghyup Shin et al. (2022)

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DOI: 10.1016/J.ESWA.2022.116919

access: closed

type: Journal Article

metadata version: 2022-05-12

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  dblp key:
  - journals/eswa/ShinLLPKLM22
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  persistent URL:
  - https://dblp.org/rec/journals/eswa/ShinLLPKLM22
Seunghyup Shin, Youngbok Lee, Yongjoo Lee, Jihwan Park, Minjae Kim, Sangyul Lee, Kyoungdoug Min:
Designing a steady-state experimental dataset for predicting transient NO_x emissions of diesel engines via deep learning. Expert Syst. Appl. 198: 116919 (2022)

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