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Number of items: 14.

Kocon, Kevin ; Krämer, Michel ; Würz, Hendrik M. (2022):
Comparison of CNN-based segmentation models for forest type classification.
3, pp. 1-6, Göttingen, ISSN 2700-8150,
DOI: 10.5194/agile-giss-3-42-2022,
[Conference or Workshop Item]

Krämer, Michel ; Würz, Hendrik M. ; Altenhofen, Christian (2021):
Executing cyclic scientific workflows in the cloud.
In: Journal of Cloud Computing, 10, Springer Nature, ISSN 2192-113X,
DOI: 10.1186/s13677-021-00229-7,

Krämer, Michel (2020):
Capability-based Scheduling of Scientific Workflows in the Cloud.
In: Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1 : DATA, pp. 43-54,
Science and Technology Publications, 9th International Conference on Data Science, Technology and Applications, ISBN 978-989-758-440-4,
DOI: 10.5220/0009805400430054,
[Conference or Workshop Item]

Krämer, Michel ; Gutbell, Ralf ; Würz, Hendrik M. ; Weil, Jannis (2020):
Scalable processing of massive geodata in the cloud: generating a level-of-detail structure optimized for web visualization.
Vol.1, p. 10, Proceedings of the 23rd AGILE Conference on Geographic Information Science, e-ISSN 2700-8150,
DOI: 10.5194/agile-giss-1-10-2020,
[Conference or Workshop Item]

Bormann, Pascal ; Krämer, Michel (2020):
A System for Fast and Scalable Point Cloud Indexing Using Task Parallelism.
pp. 153-162, The Eurographics Association, Smart Tools and Applications in computer Graphics - Eurographics Italian Chapter Conference 2020 (STAG), virtual Conference, 12.-13.11., ISBN 978-3-03868-124-3,
DOI: 10.2312/stag.20201250,
[Conference or Workshop Item]

Hiemenz, Benedikt ; Krämer, Michel (2019):
Dynamic searchable symmetric encryption for storing geospatial data in the cloud.
In: International Journal of Information Security, 18 (3), pp. 333-354. ISSN 1615-5262,
DOI: 10.1007/s10207-018-0414-4,

Krämer, Michel ; Frese, Sven ; Kuijper, Arjan (2019):
Implementing secure applications in smart city clouds using microservices.
In: Future Generation Computer Systems, 99, pp. 308-320. ISSN 0167739X,
DOI: 10.1016/j.future.2019.04.042,

Krämer, Michel (2018):
A microservice architecture for the processing of large geospatial data in the Cloud.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Krämer, Michel ; Senner, Ivo (2015):
A Modular Software Architecture for Processing of Big Geospatial Data in the Cloud.
In: Computers & Graphics, 49, pp. 69-81. DOI: 10.1016/j.cag.2015.02.005,

Krämer, Michel (2014):
Controlling the Processing of Smart City Data in the Cloud with Domain-Specific Languages.
pp. 824-829, IEEE Computer Society, Los Alamitos, Calif., 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, DOI: 10.1109/UCC.2014.134,
[Conference or Workshop Item]

Dambruch, Jens ; Krämer, Michel (2014):
Leveraging Public Participation in Urban Planning with 3D Web Technology.
pp. 117-124, ACM, New York, Proceedings Web3D 2014, DOI: 10.1145/2628588.2628591,
[Conference or Workshop Item]

Steiger, Martin ; Krämer, Michel ; Ruppert, Tobias ; Kohlhammer, Jörn (2013):
Visualizing Uncertain Underground Information for Urban Management.
pp. 75-82, IADIS Press, Proceedings of the IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing, [Conference or Workshop Item]

Krämer, Michel ; Dummer, Martin ; Ruppert, Tobias ; Kohlhammer, Jörn (2011):
Tackling Uncertainty in Combined Visualizations of Underground Information and 3D City Models.
p. 2, GeoViz Hamburg 2011 Workshop, [Conference or Workshop Item]

Dummer, Martin ; Krämer, Michel ; Ruppert, Tobias ; Kohlhammer, Jörn (2011):
Visualizing Uncertain Underground Information for Urban Management : Poster presented at the Working with Uncertainty Workshop (IEEE VisWeek 2011) ; October 24, Providence, Rhode Island.
Piscataway, NJ, IEEE, [Book]

This list was generated on Sat Jan 28 05:34:59 2023 CET.