Mohammad Shekaramiz

17 papers Misc 8Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection.
IEEE Access
Majid Memari, Praveen Shakya, Mohammad Shekaramiz, Abdennour C. Seibi, Mohammad A. S. Masoum
2023 J jnl
Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion.
Entropy
Mohammad Shekaramiz, Todd K. Moon
2020 J jnl
Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering.
CoRR
Amir Mirzaeinia, Mehdi Mirzaeinia, Mohammad Shekaramiz, Mostafa Hassanalian
2019 J jnl
Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns.
Entropy
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2019 Misc conf
C-SBL(VB): A Variational Bayes Algorithm for Sparse Recovery of Signals with Unknown Clustering Pattern.
ACSSC
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2019 Misc conf
Exploration Versus Data Refinement Via Multiple Mobile Sensors Based On Epistemic Utility Controller.
ACSSC
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2019 J jnl
Exploration vs. Data Refinement via Multiple Mobile Sensors.
Entropy
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2018 Misc conf
Sparse Recovery Via Variational Bayesian Inference: Comparing Bernoullis-Gaussians-Inverse Gamma And Gaussians-Inverse Gammas Modeling.
ACSSC
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2017 Misc conf
Exploration and data refinement via multiple mobile sensors based on Gaussian processes.
ACSSC
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2017 Misc conf
Sparse Bayesian learning using variational Bayes inference based on a greedy criterion.
ACSSC
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2016 — conf
AMP-B-SBL: An algorithm for clustered sparse signals using approximate message passing.
UEMCON
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2016 Misc conf
Sparse Bayesian learning boosted by partial erroneous support knowledge.
ACSSC
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2015 Misc conf
On the block-sparse solution of single measurement vectors.
ACSSC
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2015 — conf
On the block-sparsity of multiple-measurement vectors.
SP/SPE
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2014 Misc conf
Hierarchical Bayesian approach for jointly-sparse solution of multiple-measurement vectors.
ACSSC
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
2011 — conf
On the stability of continuous-time T-S model.
FSKD
Mohammad Shekaramiz, Farid Sheikholeslam
2011 — conf
Stability criterion for Takagi-Sugeno models.
FSKD
Farid Sheikholeslam, Mohammad Shekaramiz