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Data-driven Approaches to Improve Operations of Biological Processes in WRRFs: Analytics, Model and Optimization
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Data-driven Approaches to Improve Operations of Biological Processes in WRRFs: Analytics, Model and Optimization. |
| 개인저자 | Yang, Cheng. |
| 단체저자명 | University of Michigan. Environmental Engineering. |
| 발행사항 | [S.l.]: University of Michigan., 2022. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2022. |
| 형태사항 | 185 p. |
| 기본자료 저록 | Dissertations Abstracts International 84-04A. Dissertation Abstract International |
| ISBN | 9798845462404 |
| 학위논문주기 | Thesis (Ph.D.)--University of Michigan, 2022. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 84-04, Section: A.
Advisor: Daigger, Glen T. |
| 이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
| 일반주제명 | Environmental engineering. Computer science. Information science. Water resources management. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
