Saeed Mohammadzadeh

Orcid: 0000-0002-8793-2577

According to our database1, Saeed Mohammadzadeh authored at least 25 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Correlation Analysis of Railway Track Alignment and Ballast Stiffness: Comparing Frequency-Based and Machine Learning Algorithms.
Algorithms, August, 2024

FEniCS-arclength: A numerical continuation package in FEniCS for nonlinear problems in solid mechanics.
J. Open Source Softw., February, 2024

2023
Jammer Tracking Based on Efficient Covariance Matrix Reconstruction With Iterative Spatial Spectrum Sampling.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region for Robust Adaptive Beamforming.
IEEE Trans. Aerosp. Electron. Syst., August, 2023

SarcGraph: A Python package for analyzing the contractile behavior of pluripotent stem cell-derived cardiomyocytes.
J. Open Source Softw., July, 2023

Study of Robust Adaptive Beamforming Algorithms Based on Power Method Processing and Spatial Spectrum Matching.
CoRR, 2023

Efficient Covariance Matrix Reconstruction with Iterative Spatial Spectrum Sampling.
CoRR, 2023

Study of Robust Adaptive Beamforming with Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region.
CoRR, 2023

2022
Robust Beamforming Based on Complex-Valued Convolutional Neural Networks for Sensor Arrays.
IEEE Signal Process. Lett., 2022

Investigating Deep Learning Model Calibration for Classification Problems in Mechanics.
CoRR, 2022

Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset.
CoRR, 2022

Robust Adaptive Beamforming Based on Power Method Processing and Spatial Spectrum Matching.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Robust adaptive beamforming based on virtual sensors using low-complexity spatial sampling.
Signal Process., 2021

Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels.
CoRR, 2021

Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling.
CoRR, 2021

Robust Adaptive Beamforming Based on Low-Complexity Discrete Fourier Transform Spatial Sampling.
IEEE Access, 2021

2020
Maximum Entropy-Based Interference-Plus-Noise Covariance Matrix Reconstruction for Robust Adaptive Beamforming.
IEEE Signal Process. Lett., 2020

Low-Cost Maximum Entropy Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming.
CoRR, 2020

Low-Cost Adaptive Maximum Entropy Covariance Matrix Reconstruction for Robust Beamforming.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Robust adaptive beamforming based on covariance matrix and new steering vector estimation.
Signal Image Video Process., 2019

Robust adaptive beamforming for fast moving interference based on the covariance matrix reconstruction.
IET Signal Process., 2019

Robust Adaptive Beamforming with Improved Interferences Suppression and a New Steering Vector Estimation Based on Spatial Power Spectrum.
Circuits Syst. Signal Process., 2019

2018
Adaptive beamforming based on theoretical interference-plus-noise covariance and direction-of-arrival estimation.
IET Signal Process., 2018

Modified Robust Capon Beamforming with Approximate Orthogonal Projection onto the Signal-Plus-Interference Subspace.
Circuits Syst. Signal Process., 2018

2005
Sensor fusion of a railway bridge load test using neural networks.
Expert Syst. Appl., 2005


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