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Generalizable Data-Driven Model Augmentations using Learning and Inference Assisted by Feature-Space Engineering.
Generalizable Data-Driven Model Augmentations using Learning and Inference Assisted by Feature-Space Engineering.
- 자료유형
- 학위논문
- Control Number
- 0016620531
- International Standard Book Number
- 9798845463937
- Dewey Decimal Classification Number
- 629.1
- Main Entry-Personal Name
- Srivastava, Vishal.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of Michigan., 2022
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Physical Description
- 193 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
- General Note
- Advisor: Duraisamy, Karthik.
- Dissertation Note
- Thesis (Ph.D.)--University of Michigan, 2022.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Restrictions on Access Note
- This item must not be added to any third party search indexes.
- Subject Added Entry-Topical Term
- Aerospace engineering.
- Subject Added Entry-Topical Term
- Physics.
- Subject Added Entry-Topical Term
- Materials science.
- Subject Added Entry-Topical Term
- Mechanical engineering.
- Index Term-Uncontrolled
- Data-driven modeling
- Index Term-Uncontrolled
- Transition modeling
- Index Term-Uncontrolled
- Turbulence modeling
- Index Term-Uncontrolled
- Learning and Inference assisted by Feature-space Engineering
- Index Term-Uncontrolled
- Model augmentation
- Added Entry-Corporate Name
- University of Michigan Aerospace Engineering
- Host Item Entry
- Dissertations Abstracts International. 84-04B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:626757
