Tohid Yousefi Rezaii

According to our database1, Tohid Yousefi Rezaii authored at least 35 papers between 2011 and 2025.

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

Timeline

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Bibliography

2025
Studying of deep neural networks and delta and alpha sub-bands harmony signals for Prediction of epilepsy.
Biomed. Signal Process. Control., 2025

2024
SRU-Net: a novel spatiotemporal attention network for sclera segmentation and recognition.
Pattern Anal. Appl., September, 2024

SNR Based Adaptive Quantized Iterative Thresholding for Sparse Approximation.
Wirel. Pers. Commun., August, 2024

2023
Qualitative Classification of Proximal Femoral Bone Using Geometric Features and Texture Analysis in Collected MRI Images for Bone Density Evaluation.
Sensors, September, 2023

A hybrid approach for tracking borders in echocardiograms.
Signal Image Video Process., March, 2023

Accurate Emotion Recognition Utilizing Extracted EEG Sources as Graph Neural Network Nodes.
Cogn. Comput., January, 2023

Developing an efficient functional connectivity-based geometric deep network for automatic EEG-based visual decoding.
Biomed. Signal Process. Control., 2023

2022
Stable EEG-Based biometric system using functional connectivity based on Time-Frequency features with optimal channels.
Biomed. Signal Process. Control., 2022

A Two-Stage Learning Convolutional Neural Network for Sleep Stage Classification Using a Filterbank and Single Feature.
IEEE Access, 2022

2021
Linear mixing model with scaled bundle dictionary for hyperspectral unmixing with spectral variability.
Signal Process., 2021

Speed Classification of Upper Limb Movements Through EEG Signal for BCI Application.
IEEE Access, 2021

2020
Hyperspectral image classification based on sparse modeling of spectral blocks.
Neurocomputing, 2020

Automatic Identification of Epileptic Seizures From EEG Signals Using Sparse Representation-Based Classification.
IEEE Access, 2020

Recognizing Emotions Evoked by Music Using CNN-LSTM Networks on EEG Signals.
IEEE Access, 2020

Transfer Learning Convolutional Neural Network for Sleep Stage Classification Using Two-Stage Data Fusion Framework.
IEEE Access, 2020

MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG Compression.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Pole-Zero REM Modeling with Application in EEG Artifact Removal.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Generic cooperative and distributed algorithm for recovery of signals with the same sparsity profile in wireless sensor networks: a non-convex approach.
J. Supercomput., 2019

LLp norm regularization based group sparse representation for image compressed sensing recovery.
Signal Process. Image Commun., 2019

Reconstruction of low-rank jointly sparse signals from multiple measurement vectors.
Signal Image Video Process., 2019

Image compressed sensing recovery via nonconvex garrote regularization.
Multim. Tools Appl., 2019

Block sparse multi-lead ECG compression exploiting between-lead collaboration.
IET Signal Process., 2019

Analysis of incremental LMS adaptive algorithm over wireless sensor networks with delayed-links.
Digit. Signal Process., 2019

2018
Cooperative and distributed algorithm for compressed sensing recovery in WSNs.
IET Signal Process., 2018

Energy-efficient data reconstruction algorithm for spatially- and temporally correlated data in wireless sensor networks.
IET Signal Process., 2018

Block Sparse Signal Recovery in Compressed Sensing: Optimum Active Block Selection and Within-Block Sparsity Order Estimation.
Circuits Syst. Signal Process., 2018

ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework.
Biomed. Signal Process. Control., 2018

Sleep Stage Scoring of Single-Channel EEG Signal based on RUSBoost Classifier.
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2018

Sleep Stage Classification Using Dempster-Shafer Theory for Classifier Fusion.
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2018

2017
Steady-State Tracking Analysis of Adaptive Filter With Maximum Correntropy Criterion.
Circuits Syst. Signal Process., 2017

2016
Automatic EOG and EMG Artifact Removal Method for Sleep Stage Classification.
Proceedings of the Technological Innovation for Cyber-Physical Systems, 2016

2014
Sparsity aware consistent and high precision variable selection.
Signal Image Video Process., 2014

2013
Adaptive efficient sparse estimator achieving oracle properties.
IET Signal Process., 2013

2011
Distributed multi-target tracking using joint probabilistic data association and average consensus filter.
Ann. des Télécommunications, 2011

Adaptive sparsity-aware parameter vector reconstruction with application to compressed sensing.
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011


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