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ORCIDMohammad Shekaramiz
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2020 – today
- 2024
[j4]Majid Memari
, Praveen Shakya, Mohammad Shekaramiz, Abdennour C. Seibi, Mohammad A. S. Masoum:
Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection. IEEE Access 12: 33236-33282 (2024)- 2023
- [j3]Mohammad Shekaramiz, Todd K. Moon:
Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion. Entropy 25(3): 511 (2023) - 2020
- [i1]Amir Mirzaeinia, Mehdi Mirzaeinia, Mohammad Shekaramiz, Mostafa Hassanalian:
Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering. CoRR abs/2010.01236 (2020)
2010 – 2019
- 2019
- [j2]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns. Entropy 21(3): 247 (2019) - [j1]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
Exploration vs. Data Refinement via Multiple Mobile Sensors. Entropy 21(6): 568 (2019) - [c12]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
C-SBL(VB): A Variational Bayes Algorithm for Sparse Recovery of Signals with Unknown Clustering Pattern. ACSSC 2019: 707-711 - [c11]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
Exploration Versus Data Refinement Via Multiple Mobile Sensors Based On Epistemic Utility Controller. ACSSC 2019: 1677-1681 - 2018
- [c10]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
Sparse Recovery Via Variational Bayesian Inference: Comparing Bernoullis-Gaussians-Inverse Gamma And Gaussians-Inverse Gammas Modeling. ACSSC 2018: 1969-1973 - 2017
- [c9]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
Sparse Bayesian learning using variational Bayes inference based on a greedy criterion. ACSSC 2017: 858-862 - [c8]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
Exploration and data refinement via multiple mobile sensors based on Gaussian processes. ACSSC 2017: 885-889 - 2016
- [c7]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
Sparse Bayesian learning boosted by partial erroneous support knowledge. ACSSC 2016: 389-393 - [c6]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
AMP-B-SBL: An algorithm for clustered sparse signals using approximate message passing. UEMCON 2016: 1-5 - 2015
- [c5]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
On the block-sparse solution of single measurement vectors. ACSSC 2015: 508-512 - [c4]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
On the block-sparsity of multiple-measurement vectors. SP/SPE 2015: 220-225 - 2014
- [c3]Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther:
Hierarchical Bayesian approach for jointly-sparse solution of multiple-measurement vectors. ACSSC 2014: 1962-1966 - 2011
- [c2]Mohammad Shekaramiz, Farid Sheikholeslam:
On the stability of continuous-time T-S model. FSKD 2011: 225-229 - [c1]Farid Sheikholeslam, Mohammad Shekaramiz:
Stability criterion for Takagi-Sugeno models. FSKD 2011: 261-266
Coauthor Index
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