Theo dõi
Mohammad Shekaramiz
Mohammad Shekaramiz
Assistant Professor, Utah Valley University
Email được xác minh tại uvu.edu
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Review on the advancements in wind turbine blade inspection: Integrating drone and deep learning technologies for enhanced defect detection
M Memari, P Shakya, M Shekaramiz, AC Seibi, MAS Masoum
IEEE Access, 2024
372024
Bayesian compressive sensing of sparse signals with unknown clustering patterns
M Shekaramiz, TK Moon, JH Gunther
Entropy 21 (3), 247, 2019
252019
Data fusion and ensemble learning for advanced anomaly detection using multi-spectral RGB and thermal imaging of small wind turbine blades
M Memari, M Shekaramiz, MAS Masoum, AC Seibi
Energies 17 (3), 673, 2024
222024
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
Anomaly detection on small wind turbine blades using deep learning algorithms
B Altice, E Nazario, M Davis, M Shekaramiz, TK Moon, MAS Masoum
Energies 17 (5), 982, 2024
132024
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
132022
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
122022
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
Exploration and object detection via low-cost autonomous drone
B Pinney, B Stockett, M Shekaramiz, MAS Masoum, A Seibi, A Rodriguez
2023 Intermountain Engineering, Technology and Computing (IETC), 49-54, 2023
112023
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
102022
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
Wind turbine fault classification using support vector machines with fuzzy logic
C Seegmiller, B Chamberlain, J Miller, MAS Masoum, M Shekaramiz
2022 Intermountain Engineering, Technology and Computing (IETC), 1-5, 2022
92022
Fluid-structure interaction and life prediction of small-scale damaged horizontal axis wind turbine blades
P Shakya, M Thomas, AC Seibi, M Shekaramiz, MAS Masoum
Results in Engineering 23, 102388, 2024
82024
Hyperparameter tuning of support vector machines for wind turbine detection using drones
J Miller, C Seegmiller, MAS Masoum, M Shekaramiz, AC Seibi
2023 Intermountain Engineering, Technology and Computing (IETC), 55-60, 2023
82023
Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors
M Shekaramiz
Utah State University, 2018
82018
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
72019
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
72017
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
72016
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
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