Machine Learning Methods for Emissions Prediction in Combustion Engines with Multiple Cylinders

Approved

Classifications

MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform

Authors of the publication

Number of authors
10
Authors
Nguyen Khac, Hoang; Modabberian, Amin; Zenger, Kai; Niskanen, Kalle; West, Anton; Zhang, Yejun; Silvola, Elias; Lendormy, Eric; Storm, Xiaoguo; Mikulski, Maciej

Publication channel information

Title of host publication
IFAC-PapersOnLine
Name of conference
IFAC World Congress
Title of journal/series
IFAC-PapersOnLine
ISSN (print)
2405-8971
ISSN (electronic)
2405-8963
Publisher
Elsevier
Publication forum ID
86671
Publication forum level
1
Publication appears in FT-list
No
SNIP-level of the publication
0.45
Country of publication
United Kingdom
Internationality
Yes

Detailed publication information

Publication year
2023
Reporting year
2024
Journal/series volume number
56
Journal/series issue number
2
Page numbers
3072-3078
DOI
10.1016/j.ifacol.2023.10.1437
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
Yes

Availability

Link to self-archived version
https://urn.fi/URN:NBN:fi-fe2025030315307

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences, 214 Mechanical engineering
Keywords
combustion engine; cylinder pressure; green house gases; machine learning; virtual sensor

Source database ID

Scopus ID
Scopus:85184960018