Deep Learning Framework With Essential Pre-Processing Techniques for Improving Mixed-Gas Concentration Prediction-Reference-Cited by-同舟云学术

Deep Learning Framework With Essential Pre-Processing Techniques for Improving Mixed-Gas Concentration Prediction

Author:

Eo Moonjung¹,Han Jeongyun²,Rhee Wonjong¹^ORCID

Affiliation:

1. Department of Intelligence and Information, Seoul National University, Seoul, South Korea

2. Future Education Research Division, Center for Open Middle and High Schools, Jincheon-gun, South Korea

Funder

National Research Foundation of Korea (NRF) Grant funded by the Korea Government [Ministry of Science and ICT (MSIT)]

Korea Medical Device Development Fund Grant funded by the Korea Government

IITP Grant funded by the Korea Government (MSIT) [Artificial Intelligence Graduate School Program (Seoul National University)]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference58 articles.

2. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014

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