VEDLIOT: Very Efficient Deep Learning in Iot

AuthID
P-00W-MT9
36
Author(s)
Kaiser M.
·
Griessl R.
·
Kucza N.
·
Haumann C.
·
Tigges L.
·
Mika K.
·
Hagemeyer J.
·
Porrmann F.
·
Ruckert U.
·
[+7]·
[+9]·
Felber P.
·
Pasin M.
·
Schiavoni V.
·
Menetrey J.
·
Gugala K.
·
Zierhoffer P.
·
Knauss E.
·
Heyn H.
Document Type
Proceedings Paper
Year published
2022
Published
in Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022
Pages: 963-968 (5)
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Publication Identifiers
Scopus: 2-s2.0-85130802370
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At this moment we don't have any links to full text documens.
Name Order Name   Name Order Name   Name Order Name
1 Kaiser M.;   2 Griessl R.;   3 Kucza N.;
4 Haumann C.;   5 Tigges L.;   6 Mika K.;
7 Hagemeyer J.;   8 Porrmann F.;   9 Ruckert U.;
10 Vor Dem Berge M.;   11 Krupop S.;   12 Porrmann M.;
13 Tassemeier M.;   14 Trancoso P.;   15 Qararyah F.;
16 Zouzoula S.;   17 Casimiro A.;   18 Bessani A.;
19 Cecilio J.;   20 Andersson S.;   21 Brunnegard O.;
22 Eriksson O.;   23 Weiss R.;   24 McIerhofer F.;
25 Salomonsson H.;   26 Malekzadeh E.;   27 Odman D.;
28 Khurshid A.;   29 Felber P.;   30 Pasin M.;
31 Schiavoni V.;   32 Menetrey J.;   33 Gugala K.;
34 Zierhoffer P.;   35 Knauss E.;   36 Heyn H.;