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Machine learning in fermentative biohydrogen production: Advantages, challenges, and applications
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Pandey, Ashutosh Kumar | - |
| dc.contributor.author | Park, Jungsu | - |
| dc.contributor.author | Ko, Jeun | - |
| dc.contributor.author | Joo, Hwan-Hong | - |
| dc.contributor.author | Raj, Tirath | - |
| dc.contributor.author | Singh, Lalit Kumar | - |
| dc.contributor.author | Singh, Noopur | - |
| dc.contributor.author | Kim, Sang-Hyoun | - |
| dc.date.accessioned | 2023-04-12T01:40:04Z | - |
| dc.date.available | 2023-04-12T01:40:04Z | - |
| dc.date.issued | 2023-02 | - |
| dc.identifier.issn | 0960-8524 | - |
| dc.identifier.issn | 1873-2976 | - |
| dc.identifier.uri | https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6427 | - |
| dc.publisher | Elsevier BV | - |
| dc.title | Machine learning in fermentative biohydrogen production: Advantages, challenges, and applications | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1016/j.biortech.2022.128502 | - |
| dc.identifier.scopusid | 2-s2.0-85145275972 | - |
| dc.identifier.bibliographicCitation | Bioresource Technology, v.370 | - |
| dc.citation.title | Bioresource Technology | - |
| dc.citation.volume | 370 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
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Collections - College of Engineering > 공과대학 사회환경시스템공학부 > 공과대학 건설환경공학과 > 1. Journal Articles
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