Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Rushdi, Ahmad A."'
We analyze the regression accuracy of convolutional neural networks assembled from encoders, decoders and skip connections and trained with multifidelity data. Besides requiring significantly less trainable parameters than equivalent fully connected
Externí odkaz:
http://arxiv.org/abs/2205.05187
Autor:
Abdelkader, Ahmed, Bajaj, Chandrajit L., Ebeida, Mohamed S., Mahmoud, Ahmed H., Mitchell, Scott A., Owens, John D., Rushdi, Ahmad A.
Publikováno v:
ACM Transaction on Graphics, Vol. 39, No. 3, Article No. 23 (May 2020)
Polyhedral meshes are increasingly becoming an attractive option with particular advantages over traditional meshes for certain applications. What has been missing is a robust polyhedral meshing algorithm that can handle broad classes of domains exhi
Externí odkaz:
http://arxiv.org/abs/1902.08767
Autor:
Partin, Lauren, Geraci, Gianluca, Rushdi, Ahmad A., Eldred, Michael S., Schiavazzi, Daniele E.
Publikováno v:
In Journal of Computational Physics 1 January 2023 472
Autor:
Abdelkader, Ahmed, Bajaj, Chandrajit L., Ebeida, Mohamed S., Mahmoud, Ahmed H., Mitchell, Scott A., Owens, John D., Rushdi, Ahmad A.
We study the problem of decomposing a volume bounded by a smooth surface into a collection of Voronoi cells. Unlike the dual problem of conforming Delaunay meshing, a principled solution to this problem for generic smooth surfaces remained elusive. V
Externí odkaz:
http://arxiv.org/abs/1803.06078
The embedded ensemble propagation approach introduced in [49] has been demonstrated to be a powerful means of reducing the computational cost of sampling-based uncertainty quantification methods, particularly on emerging computational architectures.
Externí odkaz:
http://arxiv.org/abs/1705.02003
Autor:
Mitchell, Scott A., Ebeida, Mohamed S., Awad, Muhammad A., Park, Chonhyon, Patney, Anjul, Rushdi, Ahmad A., Swiler, Laura P., Manocha, Dinesh, Wei, Li-Yi
Publikováno v:
ACM Transactions on Graphics (TOG), Volume 37, Issue 2, May 2018, Article No. 22
Blue noise sampling has proved useful for many graphics applications, but remains underexplored in high-dimensional spaces due to the difficulty of generating distributions and proving properties about them. We present a blue noise sampling method wi
Externí odkaz:
http://arxiv.org/abs/1408.1118
Autor:
Rushdi, Ahmad A., Mitchell, Scott A., Mahmoud, Ahmed H., Bajaj, Chandrajit C., Ebeida, Mohamed S.
Publikováno v:
In Computer-Aided Design April 2017 85:83-98
Autor:
Ebeida, Mohamed S., Mitchell, Scott A., Swiler, Laura P., Romero, Vicente J., Rushdi, Ahmad A.
Publikováno v:
In Reliability Engineering and System Safety November 2016 155:64-77
Autor:
Awad, Muhammad A., Rushdi, Ahmad A., Abbas, Misarah A., Mitchell, Scott A., Mahmoud, Ahmed H., Bajaj, Chandrajit L., Ebeida, Mohamed S.
Publikováno v:
In Procedia Engineering 2016 163:251-261