Mohammad Shekaramiz

Orcid: 0000-0003-1176-3284

According to our database1, Mohammad Shekaramiz authored at least 17 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection.
IEEE Access, 2024

2023
Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion.
Entropy, March, 2023

2020
Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering.
CoRR, 2020

2019
Exploration vs. Data Refinement via Multiple Mobile Sensors.
Entropy, 2019

Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns.
Entropy, 2019

Exploration Versus Data Refinement Via Multiple Mobile Sensors Based On Epistemic Utility Controller.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

C-SBL(VB): A Variational Bayes Algorithm for Sparse Recovery of Signals with Unknown Clustering Pattern.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Sparse Recovery Via Variational Bayesian Inference: Comparing Bernoullis-Gaussians-Inverse Gamma And Gaussians-Inverse Gammas Modeling.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Exploration and data refinement via multiple mobile sensors based on Gaussian processes.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Sparse Bayesian learning using variational Bayes inference based on a greedy criterion.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
AMP-B-SBL: An algorithm for clustered sparse signals using approximate message passing.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

Sparse Bayesian learning boosted by partial erroneous support knowledge.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
On the block-sparsity of multiple-measurement vectors.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

On the block-sparse solution of single measurement vectors.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Hierarchical Bayesian approach for jointly-sparse solution of multiple-measurement vectors.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2011
On the stability of continuous-time T-S model.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Stability criterion for Takagi-Sugeno models.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011


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