Mohammad Shekaramiz

发表

1 On The Stability Analysis of Perturbed Continuous TS Fuzzy Models

F. Sheikholeslam, Mohammad Shekaramiz, 2019 .

Stability Analysis for Continuous T-S Fuzzy Models Having Uncertainties: A Systematic Approach

F. Sheikholeslam, Mohammad Shekaramiz, 2016, Bulletin de la Société Royale des Sciences de Liège.

Building Graphs with Maximum Connectivity

M. Jafarpour, A. Moeini, Mohammad Shekaramiz, 2020, 2020 Intermountain Engineering, Technology and Computing (IETC).

Drone Path Planning and Object Detection via QR Codes; A Surrogate Case Study for Wind Turbine Inspection

M. Masoum, Mohammad Shekaramiz, Branden Pinney, 2022, 2022 Intermountain Engineering, Technology and Computing (IETC).

CAMP: An Algorithm to Recover Sparse Signals with Unknown Clustering Pattern Using Approximate Message Passing

Todd K. Moon, Jacob H. Gunther, Mohammad Shekaramiz, 2016 .

Comparison of Leader and Tail Switching with Full Shuffle in Swarming V-shaped drones: Efficiency and Sensitivity Analysis

Amir Mirzaeinia, Mehdi Mirzaeinia, Mohammad Shekaramiz, 2020 .

Locating and Extracting Wind Turbine Blade Cracks Using Haar-like Features and Clustering

Mohammad Shekaramiz, Cherif Seibi, Zachary Ward, 2022, 2022 Intermountain Engineering, Technology and Computing (IETC).

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering pdf

Amir Mirzaeinia, Mehdi Mirzaeinia, Mohammad Shekaramiz, 2020, AIAA AVIATION 2020 FORUM.

Exploration vs. Data Refinement via Multiple Mobile Sensors

Todd K. Moon, Jacob H. Gunther, Mohammad Shekaramiz, 2019, Entropy.

Stability criterion for Takagi-Sugeno models

Mohammad Shekaramiz, Farid Sheikholeslam, F. Sheikholeslam, 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

On the stability of continuous-time T-S model

Mohammad Shekaramiz, Farid Sheikholeslam, F. Sheikholeslam, 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Authorship Verification via Linear Correlation Methods of n-gram and Syntax Metrics

Mohammad Shekaramiz, Jared Nelson, 2022, 2022 Intermountain Engineering, Technology and Computing (IETC).

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

T. Moon, Mohammad Shekaramiz, 2023, Entropy.

Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns

Todd K. Moon, Jacob H. Gunther, Mohammad Shekaramiz, 2019, Entropy.

Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors

Mohammad Shekaramiz, Mohammad Shekaramiz, 2018 .

A Note on Kriging and Gaussian Processes

T. Moon, J. Gunther, Mohammad Shekaramiz, 2019 .

Sparse Recovery Via Variational Bayesian Inference: Comparing Bernoullis-Gaussians-Inverse Gamma And Gaussians-Inverse Gammas Modeling

Todd K. Moon, Jacob H. Gunther, Mohammad Shekaramiz, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Sparse Bayesian learning using variational Bayes inference based on a greedy criterion

Todd K. Moon, Jacob H. Gunther, Mohammad Shekaramiz, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Sparse Bayesian learning boosted by partial erroneous support knowledge

Todd K. Moon, Jacob H. Gunther, Mohammad Shekaramiz, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

AMP-B-SBL: An algorithm for clustered sparse signals using approximate message passing

Todd K. Moon, Jacob H. Gunther, Mohammad Shekaramiz, 2016, 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

On the block-sparsity of multiple-measurement vectors

Todd K. Moon, Jacob H. Gunther, Mohammad Shekaramiz, 2015, 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE).

Hyperparameter Tuning of Support Vector Machines for Wind Turbine Detection Using Drones

M. Masoum, A. Seibi, Mohammad Shekaramiz, 2023, 2023 Intermountain Engineering, Technology and Computing (IETC).

Exploration and Object Detection via Low-Cost Autonomous Drone

M. Masoum, A. Seibi, Mohammad Shekaramiz, 2023, 2023 Intermountain Engineering, Technology and Computing (IETC).

Sparse Bayesian Learning Via Variational Bayes Fused With Orthogonal Matching Pursuit

T. Moon, Mohammad Shekaramiz, 2022, 2022 Intermountain Engineering, Technology and Computing (IETC).