Emil Slusanschi
Title
Cited by
Cited by
Year
Automatic differentiation of the general-purpose computational fluid dynamics package FLUENT
CH Bischof, HM Bücker, A Rasch, E Slusanschi, B Lang
322007
Creating roadmaps in aerial images with generative adversarial networks and smoothing-based optimization
D Costea, A Marcu, E Slusanschi, M Leordeanu
Proceedings of the IEEE International Conference on Computer Vision …, 2017
272017
Efficient and accurate derivatives for a software process chain in airfoil shape optimization
CH Bischof, HM Bücker, B Lang, A Rasch, E Slusanschi
Future Generation Computer Systems 21 (8), 1333-1344, 2005
232005
SafeUAV: Learning to estimate depth and safe landing areas for UAVs from synthetic data
A Marcu, D Costea, V Licaret, M Pîrvu, E Slusanschi, M Leordeanu
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
212018
Sensitivity-based analysis of the k–ε model for the turbulent flow between two plates
A Bardow, CH Bischof, HM Bücker, G Dietze, R Kneer, A Leefken, ...
Chemical engineering science 63 (19), 4763-4775, 2008
202008
Data hiding using steganography
MA Dagadita, EI Slusanschi, R Dobre
2013 IEEE 12th international symposium on parallel and distributed computing …, 2013
182013
Practical shape optimization of a levitation device for single droplets
E Groß-Hardt, E Slusanschi, HM Bücker, A Pfennig, CH Bischof
Optimization and Engineering 9 (2), 179-199, 2008
182008
Bounds for kullback-leibler divergence
PG Popescu, SS Dragomir, EI Sluşanschi, ON Stănăşilă
Electronic Journal of Differential Equations 2016, 2016
152016
Mapping data mining algorithms on a GPU architecture: a study
A Gainaru, E Slusanschi, S Trausan-Matu
International Symposium on Methodologies for Intelligent Systems, 102-112, 2011
152011
A multi-stage multi-task neural network for aerial scene interpretation and geolocalization
A Marcu, D Costea, E Slusanschi, M Leordeanu
arXiv preprint arXiv:1804.01322, 2018
122018
A new upper bound for Shannon entropy. A novel approach in modeling of Big Data applications
PG Popescu, EI Sluşanschi, V Iancu, F Pop
Concurrency and Computation: Practice and Experience 28 (2), 351-359, 2016
102016
Algorithmic differentiation of Java programs.
EI Slusanschi
RWTH Aachen University, Germany, 2008
102008
Delayed propagation of derivatives in a two-dimensional aircraft design optimization problem
HM Bücker, A Rasch, E Slusanschi, CH Bischof
Proceedings of the 17th Annual International Symposium on High Performance …, 2003
102003
AAA-based infrastructure for industrial wireless sensor networks
N Oualha, A Olivereau, M Wehner, T Bartzsch, D Burggraf, S Zeisberg, ...
2012 Future Network & Mobile Summit (FutureNetw), 1-8, 2012
72012
A multi-stage multi-task neural network for aerial scene interpretation and geolocalization. arXiv 2018
A Marcu, D Costea, E Slusanschi, M Leordeanu
arXiv preprint arXiv:1804.01322, 2020
62020
Roadmap generation using a multi-stage ensemble of deep neural networks with smoothing-based optimization
D Costea, A Marcu, E Slusanschi, M Leordeanu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
62018
Using the integrated GPU to improve CPU sort performance
G Lupescu, EI Sluşanschi, N Tăpuş
2017 46th International Conference on Parallel Processing Workshops (ICPPW …, 2017
62017
The speed-up of a Boltzmann-Vlasov code
R Tabacu, MC Raportaru, E Slusanschi, V Baran, AI Nicolin
Romanian Journal of Physics 60 (9-10), 1441-1449, 2015
62015
A trustworthy architecture for wireless industrial sensor networks: Research roadmap of EU TWISNet trust and security project
M Wehner, S Zeisberg, A Olivereau, N Oulha, L Gheorghe, E Slusanschi, ...
2011 First SysSec Workshop, 63-66, 2011
62011
Sensitivities for a single drop simulation
CH Bischof, HM Bücker, A Rasch, E Slusanschi
International Conference on Computational Science, 888-896, 2003
52003
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Articles 1–20