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Faculty of Electrical and Information Engineering (4000)
Graz University of Technology (90000)
Phone
873-7110
Email
dekanat.etit@tugraz.at
Website
http://www.etit.tugraz.at
primary organisation address
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8010
Inffeldgasse 18
Graz
Austria
Overview
Fingerprint
Network
Persons
(498)
Research Outputs
(10634)
Activities
(5643)
Prizes
(388)
Press/Media
(365)
Projects
(1258)
Research output
Research output per year
1972
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
4833
Conference paper
2150
Article
721
(Old data) Lecture or Presentation
673
Poster
2257
More
432
Paper
317
Other report
235
Chapter
201
Commissioned report
185
Patent
144
Doctoral Thesis
138
Abstract
106
Diploma Thesis
87
Anthology
66
Master's Thesis
57
Book
47
Website / Web publication
40
Lecture notes
36
Preprint
34
Other contribution
33
Conference article
21
Editorial
17
Habilitation
10
Bachelor's Thesis
8
Review article
6
Discussion paper
4
Other chapter contribution
4
Comment/debate
4
Letter
4
Data set/Database
4
Software
3
Brochure
3
Working paper
2
Foreword/postscript
2
Short survey
2
Special issue
2
Multimedia Publication
1
Entry for encyclopedia/dictionary
1
Review of a scientific publication
1
Featured article
Research output per year
Research output per year
3 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Filter
Working paper
Search results
2021
Overview of the African Transmission Grid and Electricity Markets
Gaugl, R.
,
21 Mar 2021
.
Research output
:
Working paper
2020
Technical Report: Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality
Einsiedler, J.
,
Cheng, Y.
,
Papst, F.
&
Saukh, O.
,
19 Nov 2020
,
12 p.
Research output
:
Working paper
2019
Resource-Efficient Neural Networks for Embedded Systems
Roth, W.
,
Schindler, G.
,
Zöhrer, M.
,
Pfeifenberger, L.
,
Peharz, R.
,
Tschiatschek, S.
,
Fröning, H.
,
Pernkopf, F.
&
Ghahramani, Z.
,
2019
, (Submitted)
37 p.
Research output
:
Working paper
Embedded systems
100%
Machine learning
79%
Neural networks
65%
Deep neural networks
20%
Internet of things
18%