대구한의대학교 향산도서관

자료검색

소장자료+타기관자료검색

검색 타입
상세검색
검색어[전방일치/ 주제어:Computer science.]
69건 중 69건 출력
1/7 페이지 엑셀파일 출력
제한항목
University of Minnesota 삭제
검색결과제한

검색간략리스트

열거형 테이블형
Search Option
Service Form
검색리스트 테이블
No 자료
유형
서명 저자 출판사 청구기호 출판년 수록
매체
1 E-Book Laser Nanowarming: A Platform Technology for Ultra-Rapid Rewarming of Cryopreserved Zebrafish Embryos 미리보기
Khosla, Kanav University of Minnesota. : ProQuest Dissertations & Theses 610/620 2019 URL
2 E-Book Cybersickness in Virtual Reality Head-Mounted Displays: Examining the Influence of Sex Differences, Vehicle Control and Postural Precursors 미리보기
Curry, Christopher University of Minnesota. : ProQuest Dissertations & Theses 612/613 2021 URL
3 E-Book Dictionary-Based Methods and Their Applications in Biology and Medicine 미리보기
Lenskaia, Tatiana University of Minnesota. : ProQuest Dissertations & Theses 574 2021 URL
4 E-Book Robustness and Stability of Deep Learning 미리보기
Lai, Chieh-Hsin University of Minnesota. : ProQuest Dissertations & Theses 510 2021 URL
5 E-Book A Framework for Reasoning About LF Specifications 미리보기
Southern, Mary University of Minnesota. : ProQuest Dissertations & Theses 004 2021 URL
6 E-Book Secure Group Communication 미리보기
Schliep, Michael L University of Minnesota. : ProQuest Dissertations & Theses 004 2021 URL
7 E-Book The Virtual Reality Head-Mounted Display Oculus Rift Induces Motion Sickness and Is Sexist in Its Effects 미리보기
Munafo, Justin Gabriel University of Minnesota. : ProQuest Dissertations & Theses 612/613 2021 URL
8 E-Book Computational Digital Inline Holography for In Situ Particle Tracking and Characterization 미리보기
Mallery, Kevin University of Minnesota. : ProQuest Dissertations & Theses 620 2020 URL
9 E-Book Two Applications of PDEs in Data Science 미리보기
Cook, Brendan University of Minnesota. : ProQuest Dissertations & Theses 510 2022 URL
10 학위논문 Algorithmic Advances in Learning from Large Dimensional Matrices and Scientific Data 미리보기
Ubaru, Shashanka University of Minnesota. : ProQuest Dissertations & Theses 004 2018 URL
1 2 3 4 5 6 7 
Serial Form