Distance Matrix Patterns for Visual and Interpretable Process Data Analytics-Reference-Cited by-同舟云学术

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Distance Matrix Patterns for Visual and Interpretable Process Data Analytics

Published:2023-08-23 Issue:35 Volume:62 Page:13889-13901
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Melo Afrânio¹^ORCID,Fadel Fernando Freitas¹,Câmara Maurício Melo¹²^ORCID,Pinto José Carlos¹^ORCID

Affiliation:

1. Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, Rio de Janeiro, RJ CEP 21941-972, Brazil

2. OPTIMATECH Ltda., Cidade Universitária, Rio de Janeiro, RJ CEP 21941-614, Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c01481

Reference52 articles.

1. The promise of artificial intelligence in chemical engineering: Is it here, finally?

2. Data-centric process systems engineering: A push towards PSE 4.0

3. Towards artificial intelligence at scale in the chemical industry

4. Industrial data science – a review of machine learning applications for chemical and process industries

5. Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey;Processes;2024-01-24

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