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
292007
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
222005
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
172008
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
172008
Data hiding using steganography
MA Dagadita, EI Slusanschi, R Dobre
2013 IEEE 12th International Symposium on Parallel and Distributed Computing …, 2013
162013
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
142017
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
142011
Bounds for kullback-leibler divergence
PG Popescu, SS Dragomir, EI Sluşanschi, ON Stănăşilă
Electronic Journal of Differential Equations 2016, 2016
132016
Algorithmic differentiation of Java programs.
EI Slusanschi
RWTH Aachen University, Germany, 2008
112008
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), 0-0, 2018
102018
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
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
82016
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
72018
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 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
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, 0
5
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
42017
Bounds for Jeffreys–Tsallis and Jensen–Shannon–Tsallis divergences
PG Popescu, V Preda, EI Sluşanschi
Physica A: Statistical Mechanics and its Applications 413, 280-283, 2014
42014
N-body simulations with GADGET-2
VL Spiridon, EI Slusanschi
2013 15th International Symposium on Symbolic and Numeric Algorithms for …, 2013
42013
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Articles 1–20