A. Rushdi

发表

PAPR Reduction in Trigonometric-Based OFDM Systems

J. Tuqan, A. Rushdi, 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

A DSP Approach for Finding the Codon Bias in DNA Sequences

Jamal Tuqan, Ahmad Rushdi, J. Tuqan, 2008, IEEE Journal of Selected Topics in Signal Processing.

The Filtered Spectral Rotation Measure

J. Tuqan, A. Rushdi, 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

Recursive Spoke Darts: Local Hyperplane Sampling for Delaunay and Voronoi Meshing in Arbitrary Dimensions

Mohamed S. Ebeida, A. Rushdi, 2016 .

Sampling Conditions for Clipping-free Voronoi Meshing by the VoroCrust Algorithm

Mohamed S. Ebeida, S. Mitchell, C. Bajaj, 2017 .

Multifidelity data fusion in convolutional encoder/decoder networks

M. Eldred, G. Geraci, D. Schiavazzi, 2022, ArXiv.

Multifidelity data fusion in convolutional encoder/decoder networks

M. Eldred, G. Geraci, D. Schiavazzi, 2022, J. Comput. Phys..

Sampling Conditions for Conforming Voronoi Meshing by the VoroCrust Algorithm

Mohamed S. Ebeida, Ahmed H. Mahmoud, John D. Owens, 2018, SoCG.

A Digital Communication Analysis of Gene Expression of Proteins in Biological Systems: A Layered Network Model View

Jesús B. Alonso, Floriano De Rango, Yesenia Cevallos-Villacrés, 2017, Cognitive Computation.

A brief review on DNA storage, compression, and digitalization

T. Nakano, Luis Tello-Oquendo, A. Rushdi, 2021, Nano Commun. Networks.

Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.12 User?s Manual.

Mohamed S. Ebeida, Kenneth T. Hu, Jason A. Monschke, 2020 .

POF-Darts: Geometric adaptive sampling for probability of failure

Mohamed S. Ebeida, Scott A. Mitchell, Vicente J. Romero, 2014, Reliab. Eng. Syst. Saf..

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.13 User's Manual.

Mohamed S. Ebeida, Jason A. Monschke, B. Adams, 2020 .

Power Prediction of Airborne Wind Energy Systems Using Multivariate Machine Learning

Roland Schmehl, Ahmad A. Rushdi, Shigeo Yoshida, 2020, Energies.

VoroCrust

Mohamed S. Ebeida, S. Mitchell, John Douglas Owens, 2019, ACM Trans. Graph..

Surrogate-Based Ensemble Grouping Strategies for Embedded Sampling-Based Uncertainty Quantification

Mohamed S. Ebeida, Marta D'Elia, Eric Phipps, 2017, Lecture Notes in Computational Science and Engineering.

Spoke-Darts for High-Dimensional Blue-Noise Sampling

Mohamed S. Ebeida, Muhammad A. Awad, Chonhyon Park, 2014, ACM Trans. Graph..

Journal of World Englishes and Educational Practices (JWEEP)

I. Khan, A. Rushdi, A. Haq, 2020 .

VoroCrust: Voronoi Meshing Without Clipping

Mohamed S. Ebeida, S. Mitchell, John Douglas Owens, 2019, ACM Trans. Graph..

Multifidelity data fusion in convolutional encoder/decoder assembly networks for computational fluid dynamics

D. Schiavazzi, A. Rushdi, Lauren Partin, 2021, AIAA SCITECH 2022 Forum.

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.16 User's Manual.

Mohamed S. Ebeida, Jason A. Monschke, B. Adams, 2022 .

Modeling Gene Expression and Protein Delivery as an End-to-End Digital Communication System

T. Nakano, Luis Tello-Oquendo, A. Rushdi, 2021, The Open Bioinformatics Journal.

A New DSP-Based Measure for CPG Islands Detection

J. Tuqan, A. Rushdi, J. Tuqan, 2006, 2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop.

Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.14 User's Manual.

B. Adams, P. Hough, M. Eldred, 2020 .

Map-invariant spectral analysis for the identification of DNA periodicities

Thomas Strohmer, Jamal Tuqan, Ahmad Rushdi, 2012, EURASIP J. Bioinform. Syst. Biol..

VPS: VORONOI PIECEWISE SURROGATE MODELS FOR HIGH-DIMENSIONAL DATA FITTING

Mohamed S. Ebeida, Laura Painton Swiler, Marta D'Elia, 2017 .

Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.14 User's Manual.

Mohamed S. Ebeida, B. Adams, P. Hough, 2020 .

A Constrained Resampling Strategy for Mesh Improvement

Mohamed S. Ebeida, Ahmed H. Mahmoud, John D. Owens, 2017, Comput. Graph. Forum.

Sampling Conditions for Conforming Voronoi Meshing by the VoroCrust Algorithm

Mohamed S. Ebeida, S. Mitchell, John Douglas Owens, 2018, SoCG.

Multifidelity data fusion in convolutional encoder/decoder assembly networks for computational fluid dynamics.

A. Rushdi, 2021, Proposed for presentation at the CSRI Poster Blitz held July 22-22, 2021 in Albuquerque, NM US.

International Meshing Roundtable ( IMR 25 ) Recursive Spoke Darts : Local Hyperplane Sampling for Delaunay and Voronoi Meshing in Arbitrary Dimensions

Mohamed S. Ebeida, A. Rushdi, 2016 .