Mohammad Shekaramiz
Title
Cited by
Cited by
Year
Hierarchical Bayesian approach for jointly-sparse solution of multiple-measurement vectors
M Shekaramiz, TK Moon, JH Gunther
2014 48th Asilomar Conference on Signals, Systems and Computers, 1962-1966, 2014
172014
Bayesian compressive sensing of sparse signals with unknown clustering patterns
M Shekaramiz, TK Moon, JH Gunther
Entropy 21 (3), 247, 2019
112019
Sparse Bayesian learning using variational Bayes inference based on a greedy criterion
M Shekaramiz, TK Moon, JH Gunther
2017 51st Asilomar Conference on Signals, Systems, and Computers, 858-862, 2017
82017
AMP-B-SBL: An algorithm for clustered sparse signals using approximate message passing
M Shekaramiz, TK Moon, JH Gunther
2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile …, 2016
82016
On the block-sparsity of multiple-measurement vectors
M Shekaramiz, TK Moon, JH Gunther
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE …, 2015
72015
Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors
M Shekaramiz
62018
On the block-sparse solution of single measurement vectors
M Shekaramiz, TK Moon, JH Gunther
2015 49th Asilomar Conference on Signals, Systems and Computers, 508-512, 2015
62015
Stability criterion for takagi-sugeno models
F Sheikholeslam, M Shekaramiz
2011 Eighth International Conference on Fuzzy Systems and Knowledge …, 2011
62011
On the stability of continuous-time TS model
M Shekaramiz, F Sheikholeslam
2011 Eighth International Conference on Fuzzy Systems and Knowledge …, 2011
62011
Exploration and data refinement via multiple mobile sensors based on Gaussian processes
M Shekaramiz, TK Moon, JH Gunther
2017 51st Asilomar Conference on Signals, Systems, and Computers, 885-889, 2017
52017
Sparse Bayesian learning boosted by partial erroneous support knowledge
M Shekaramiz, TK Moon, JH Gunther
2016 50th Asilomar Conference on Signals, Systems and Computers, 389-393, 2016
52016
Exploration vs. data refinement via multiple mobile sensors
M Shekaramiz, TK Moon, JH Gunther
Entropy 21 (6), 568, 2019
42019
Loader and tester swarming drones for cellular phone network loading and field test: non-stochastic particle swarm optimization
A Mirzaeinia, M Hassanalian, M Shekaramiz, M Mirzaeinia
J. Autonom. Intell 2 (2), 2019
32019
Compressive Sensing via Variational Bayesian Inference
M Shekaramiz, TK Moon
2020 Intermountain Engineering, Technology and Computing (IETC), 1-6, 2020
12020
Adaptive Retransmission Time Out in Flying Ad-Hoc Network By LSTM Machine Learning: Round Trip Time Prediction
A Mirzaeinia, M Mirzaeinia, M Shekaramiz, M Hassanalian
AIAA Scitech 2020 Forum, 0053, 2020
12020
A Note on Kriging and Gaussian Processes
M Shekaramiz, TK Moon, JH Gunther
Electrical and Computer Engineering Faculty Publications, DigitalCommons …, 2019
12019
Sparse Recovery Via Variational Bayesian Inference: Comparing Bernoullis-Gaussians-Inverse Gamma And Gaussians-Inverse Gammas Modeling
M Shekaramiz, TK Moon, JH Gunther
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1969-1973, 2018
12018
Stability analysis of Takagi-Sugeno fuzzy systems
M Shekaramiz
Isfahan University of Technology, 2007
12007
Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering
A Mirzaeinia, M Mirzaeinia, M Shekaramiz, M Hassanalian
arXiv preprint arXiv:2010.01236, 2020
2020
Comparison of Leader and Tail Switching with Full Shuffle in Swarming V-shaped drones: Efficiency and Sensitivity Analysis
A Mirzaeinia, M Mirzaeinia, M Shekaramiz, M Hassanalian
AIAA Scitech 2020 Forum, 0620, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–20