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Low-Power Mixed-Signal Time-Domain Hardware Accelerator Design for Edge Computing and Machine Learning
Low-Power Mixed-Signal Time-Domain Hardware Accelerator Design for Edge Computing and Machine Learning
상세정보
- 자료유형
- 학위논문
- Control Number
- 0015761800
- International Standard Book Number
- 9798698576075
- Dewey Decimal Classification Number
- 621.3
- Main Entry-Personal Name
- Chen, Zhengyu.
- Publication, Distribution, etc. (Imprint
- [Sl] : Northwestern University, 2020
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2020
- Physical Description
- 140 p
- General Note
- Source: Dissertations Abstracts International, Volume: 82-06, Section: B.
- General Note
- Advisor: Gu, Jie.
- Dissertation Note
- Thesis (Ph.D.)--Northwestern University, 2020.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Computer engineering
- Subject Added Entry-Topical Term
- Electrical engineering
- Subject Added Entry-Topical Term
- Design
- Subject Added Entry-Topical Term
- Information technology
- Subject Added Entry-Topical Term
- Artificial intelligence
- Index Term-Uncontrolled
- Analog computing
- Index Term-Uncontrolled
- Compute in memory (CIM)
- Index Term-Uncontrolled
- Computer architecture
- Index Term-Uncontrolled
- Image processing
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Mixed-signal time-domain computing
- Added Entry-Corporate Name
- Northwestern University Electrical and Computer Engineering
- Host Item Entry
- Dissertations Abstracts International. 82-06B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:589908
MARC
008210127s2020 c eng d■001000015761800
■00520210215113942
■020 ▼a9798698576075
■035 ▼a(MiAaPQ)AAI28156847
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aChen, Zhengyu.
■24510▼aLow-Power Mixed-Signal Time-Domain Hardware Accelerator Design for Edge Computing and Machine Learning
■260 ▼a[Sl]▼bNorthwestern University▼c2020
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2020
■300 ▼a140 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 82-06, Section: B.
■500 ▼aAdvisor: Gu, Jie.
■5021 ▼aThesis (Ph.D.)--Northwestern University, 2020.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0163.
■650 4▼aComputer engineering
■650 4▼aElectrical engineering
■650 4▼aDesign
■650 4▼aInformation technology
■650 4▼aArtificial intelligence
■653 ▼aAnalog computing
■653 ▼aCompute in memory (CIM)
■653 ▼aComputer architecture
■653 ▼aImage processing
■653 ▼aMachine learning
■653 ▼aMixed-signal time-domain computing
■690 ▼a0464
■690 ▼a0544
■690 ▼a0800
■690 ▼a0389
■690 ▼a0489
■71020▼aNorthwestern University▼bElectrical and Computer Engineering.
■7730 ▼tDissertations Abstracts International▼g82-06B.
■773 ▼tDissertation Abstract International
■790 ▼a0163
■791 ▼aPh.D.
■792 ▼a2020
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T15761800▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202102▼f2021
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