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Mohammad Shekaramiz
Mohammad Shekaramiz
Assistant Professor, Utah Valley University
Email confirmado em uvu.edu
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Bayesian compressive sensing of sparse signals with unknown clustering patterns
M Shekaramiz, TK Moon, JH Gunther
Entropy 21 (3), 247, 2019
232019
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
222014
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
122016
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
102017
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
102015
Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors
M Shekaramiz
Utah State University, 2018
82018
Drone path planning and object detection via QR codes; a surrogate case study for wind turbine inspection
B Pinney, S Duncan, M Shekaramiz, MAS Masoum
2022 Intermountain Engineering, Technology and Computing (IETC), 1-6, 2022
72022
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
72015
Residual and wavelet based neural network for the fault detection of wind turbine blades
LM N’diaye, A Phillips, MM AS, M Shekaramiz
2022 Intermountain Engineering, Technology and Computing (IETC), 1-5, 2022
62022
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
62017
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
Locating and extracting wind turbine blade cracks using Haar-like features and clustering
C Seibi, Z Ward, MM AS, M Shekaramiz
2022 Intermountain Engineering, Technology and Computing (IETC), 1-5, 2022
52022
Compressive sensing via variational Bayesian inference
M Shekaramiz, TK Moon
2020 Intermountain Engineering, Technology and Computing (IETC), 1-6, 2020
52020
Exploration vs. data refinement via multiple mobile sensors
M Shekaramiz, TK Moon, JH Gunther
Entropy 21 (6), 568, 2019
52019
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
Journal of Autonomous Intelligence 2 (2), 14-24, 2019
52019
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
52018
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
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
42020
A note on Kriging and Gaussian processes
M Shekaramiz, TK Moon, JH Gunther
42019
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Artigos 1–20