자료유형 | E-Book |
---|---|
개인저자 | Silvern, Rachel, editor. |
단체저자명 | National Academies of Sciences, Engineering, and Medicine (U.S.),publisher. |
서명/저자사항 | Machine Learning and Artificial Intelligence to Advance Earth System Science[electronic resource] :Opportunities and Challenges: Proceedings of a Workshop. |
발행사항 | Washington, D.C. : National Academies Press, 2022. |
형태사항 | 1 online resource (69 p.) |
소장본 주기 | WorldCat record variable field(s) change: 050, 082, 650 |
ISBN | 030968854X 9780309688543 |
일반주기 |
Description based upon print version of record.
|
일반주제명 | Earth sciences -- Congresses. Machine learning -- Congresses. Artificial intelligence -- Congresses. |
언어 | 영어 |
기타형태 저록 | Print version:National Academies of Sciences, Engineering, and MedicineMachine Learning and Artificial Intelligence to Advance Earth System ScienceWashington, D.C. : National Academies Press,c20229780309688536 |
대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3323729 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00021755 | 550.285 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |