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Group by: No Grouping | Item Type | Date | Language
Number of items: 9.

Article

Friesen, John and Rausch, Lea and Pelz, P. F. and Fürnkranz, Johannes (2018):
Determining Factors for Slum Growth with Predictive Data Mining Methods.
In: Urban Science, p. 81, 2, (3), DOI: 10.3390/urbansci2030081,
[Online-Edition: http://www.mdpi.com/2413-8851/2/3/81],
[Article]

Rausch, Lea and Friesen, John and Altherr, Lena and Meck, Marvin and Pelz, P. F. (2018):
A Holistic Concept to Design Optimal Water Supply Infrastructures for Informal Settlements Using Remote Sensing Data.
In: Remote Sensing 2018, MDPI, 10, (2), ISSN 2072-4292,
DOI: 10.3390/rs10020216,
[Online-Edition: http://www.mdpi.com/2072-4292/10/2/216/pdf],
[Article]

Rausch, Lea and Friesen, John and Altherr, Lena C. and Pelz, P. F. (2017):
Using Mixed-Integer Programming for the Optimal Design of Water Supply Networks for Slums.
In: In: Operations Research Proceedings 2017: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), [Online-Edition: https://www.springer.com/us/book/9783319899190],
[Article]

Holl, Mario and Rausch, Lea and Pelz, P. F. (2017):
New methods for new systems – How to find the techno-economically optimal hydrogen conversion system.
In: International Journal of Hydrogen Energy, pp. 22641-22654, 42, (36), ISSN 03603199,
DOI: 10.1016/j.ijhydene.2017.07.061,
[Online-Edition: https://doi.org/10.1016/j.ijhydene.2017.07.061],
[Article]

Hülsing, Andreas and Rausch, Lea and Buchmann, Johannes (2013):
Optimal parameters for XMSS-MT.
In: Security Engineering and Intelligence Informatics, CD-ARES 2013 Workshops, [Online-Edition: https://link.springer.com/chapter/10.1007/978-3-642-40588-4_...],
[Article]

Book Section

Hülsing, Andreas and Rausch, Lea and Buchmann, Johannes (2013):
Optimal Parameters for XMSS^MT.
In: MoCrySEn 2013, Springer, pp. 194-208, [Book Section]

Conference or Workshop Item

Meck, Marvin and Rausch, Lea and Friesen, John and Wurm, Michael and Taubenböck, Hannes and Altherr, Lena and Pelz, Peter F.
Fortz, Bernard and Labbé, Martine (eds.) (2019):
Designing a Water Supply Network for Slums in Rio de Janeiro Using Mixed-Integer Programming.
In: Operations Research Proceedings 2018: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR) : September 12-14, 2018, Brussels, Belgium, Springer Nature Switzerland AG, ISBN 978-3-030-18500-8,
DOI: 10.1007/978-3-030-18500-8_43,
[Online-Edition: https://doi.org/10.1007/978-3-030-18500-8_43],
[Conference or Workshop Item]

Tiessen, Thomas and Friesen, John and Rausch, Lea and Pelz, P. F. (2019):
Using remote sensing data and cluster algorithms to structure cities.
In: 2019 Joint Urban Remote Sensing Event (JURSE), 22-24 May 2019, Vannes, Frankreich, DOI: 10.1109/JURSE.2019.8808973,
[Online-Edition: https://doi.org/10.1109/JURSE.2019.8808973],
[Conference or Workshop Item]

Rausch, Lea and Friesen, John and Pelz, P. F. (2018):
Design of water supply networks and source selection for slums by using mixed-integer programming.
In: EURO 2018 - 29th European Conference on Operational Research, Valencia (Spanien), 08. Juli 2018, [Online-Edition: https://www.euro-online.org/conf/admin/tmp/program-euro29.pd...],
[Conference or Workshop Item]

This list was generated on Tue Nov 26 02:15:23 2019 CET.