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Dr. Lea Rausch
Dr. Lea Rausch
Verified email at fst.Tu-darmstadt.de
Title
Cited by
Cited by
Year
Optimal Parameters for XMSS MT
A Hülsing, L Rausch, J Buchmann
Security Engineering and Intelligence Informatics: CD-ARES 2013 Workshops …, 2013
1072013
A holistic concept to design optimal water supply infrastructures for informal settlements using remote sensing data
L Rausch, J Friesen, LC Altherr, M Meck, PF Pelz
Remote Sensing 10 (2), 216, 2018
282018
Determining factors for slum growth with predictive data mining methods
J Friesen, L Rausch, PF Pelz, J Fürnkranz
Urban Science 2 (3), 81, 2018
232018
New methods for new systems–How to find the techno-economically optimal hydrogen conversion system
M Holl, L Rausch, PF Pelz
International Journal of Hydrogen Energy 42 (36), 22641-22654, 2017
152017
J. Buchmann," Optimal Parameters for XMSS^ MT
A Huelsing, L Rausch
Lecture Notes in Computer Science 8128, 0
11
Providing water for the poor-towards optimal water supply infrastructures for informal settlements by using remote sensing data
J Friesen, L Rausch, PF Pelz
2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017
92017
A comparison of MILP and MINLP solver performance on the example of a drinking water supply system design problem
L Rausch, P Leise, T Ederer, LC Altherr, PF Pelz
Proceedings of the European congress on computational methods in applied …, 2016
72016
Optimal parameters for XMSS^ MT
A Hülsing, L Rausch, J Buchmann
Cryptology ePrint Archive, 2017
52017
Using remote sensing data and cluster algorithms to structure cities
T Tiessen, J Friesen, L Rausch, PF Pelz
2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019
42019
Using mixed-integer programming for the optimal design of water supply networks for slums
L Rausch, J Friesen, LC Altherr, PF Pelz
Operations Research Proceedings 2017: Selected Papers of the Annual …, 2018
32018
Mathematische Optimierung von Wasserversorgungsnetzwerken für informelle Siedlungen in Mega Cities
L Rausch
Shaker, 2019
22019
Designing a Water Supply Network for Slums in Rio de Janeiro Using Mixed-Integer Programming
M Meck, L Rausch, J Friesen, M Wurm, H Taubenböck, L Altherr, PF Pelz
Operations Research Proceedings 2018: Selected Papers of the Annual …, 2019
22019
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