Search Results - "Yousefi Rezaii, Tohid"

Correlation-based common spatial pattern (CCSP): A novel extension of CSP for classification of motor imagery signal by Darvish Ghanbar, Khatereh, Yousefi Rezaii, Tohid, Farzamnia, Ali, Saad, Ismail

“…Common spatial pattern (CSP) is shown to be an effective pre-processing algorithm in order to discriminate different classes of motor-based EEG signals by…”
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Applying Common Spatial Pattern and Convolutional Neural Network to Classify Movements via EEG Signals by Zolfaghari, Sepideh, Yousefi Rezaii, Tohid, Meshgini, Saeed

“…Developing an electroencephalography (EEG)-based brain–computer interface (BCI) system is crucial to enhancing the control of external prostheses by accurately…”
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Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images by Sheykhivand, Sobhan, Mousavi, Zohreh, Mojtahedi, Sina, Yousefi Rezaii, Tohid, Farzamnia, Ali, Meshgini, Saeed, Saad, Ismail

“…The novel coronavirus (COVID-19) could be described as the greatest human challenge of the 21st century. The development and transmission of the disease have…”
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Qualitative Classification of Proximal Femoral Bone Using Geometric Features and Texture Analysis in Collected MRI Images for Bone Density Evaluation by Najafi, Mojtaba, Yousefi Rezaii, Tohid, Danishvar, Sebelan, Razavi, Seyed Naser

“…The aim of this study was to use geometric features and texture analysis to discriminate between healthy and unhealthy femurs and to identify the most…”
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Generic cooperative and distributed algorithm for recovery of signals with the same sparsity profile in wireless sensor networks: a non-convex approach by Azarnia, Ghanbar, Tinati, Mohammad Ali, Yousefi Rezaii, Tohid

“…Most of the wireless sensor networks (WSNs) are equipped with battery-powered devices with limited processing/communication resources which necessitate the…”
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Reconstruction of low-rank jointly sparse signals from multiple measurement vectors by Mehrkam, Mehrrad, Tinati, Mohammad Ali, Yousefi Rezaii, Tohid

“…The multiple measurement vectors problem approximates a set of signals sharing a common sparsity pattern simultaneously, using different linear combinations of…”
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A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities by Asadzadeh, Shiva, Yousefi Rezaii, Tohid, Beheshti, Soosan, Delpak, Azra, Meshgini, Saeed

“…[Display omitted] •It is revealed that more than 42 different statistical method are proposed to localize brain activity sources using EEG signals.•Sparse…”
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Block Sparse Signal Recovery in Compressed Sensing: Optimum Active Block Selection and Within-Block Sparsity Order Estimation by Shamsi, Mahdi, Yousefi Rezaii, Tohid, Tinati, Mohammad Ali, Rastegarnia, Amir, Khalili, Azam

“…In this paper, we develop a new algorithm for recovery of block sparse signals in compressed sensing framework based on orthogonal matching pursuit…”
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Correction: Correlation-based common spatial pattern (CCSP): A novel extension of CSP for classification of motor imagery signal by Darvish Ghanbar, Khatereh, Yousefi Rezaii, Tohid, Farzamnia, Ali, Saad, Ismail

“…[This corrects the article DOI: 10.1371/journal.pone.0248511.]…”
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Linear mixing model with scaled bundle dictionary for hyperspectral unmixing with spectral variability by Ghanbari Azar, Saeideh, Meshgini, Saeed, Beheshti, Soosan, Yousefi Rezaii, Tohid

“…•A sparse modeling based approach is used for hyperspectral image unmixing.•Spectral variabilities and spatial coherence of the pixels are considered.•Two…”
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Hyperspectral image classification based on sparse modeling of spectral blocks by Ghanbari Azar, Saeideh, Meshgini, Saeed, Yousefi Rezaii, Tohid, Beheshti, Soosan

“…•A sparse modeling framework is proposed for HSI classification.•Spectral and spatial blocks are jointly used to exploit redundancies of the data.•The…”
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SNR Based Adaptive Quantized Iterative Thresholding for Sparse Approximation by Afkari, Shabnam, Tinati, Mohammad Ali, Rezaii, Tohid Yousefi

“…Different compression techniques necessitate the signal to be sparse or have a sparse representation in a suitable domain. Among these methods, compressed…”
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Recognizing Emotions Evoked by Music using CNN-LSTM Networks on EEG signals by Sheykhivand, S., Mousavi, Z., Rezaii, T. Yousefi, Farzamnia, A.

“…Emotion is considered to be critical for the actual interpretation of actions and relationships. Recognizing emotions from EEG signals is also becoming an…”
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Stable EEG-Based biometric system using functional connectivity based on Time-Frequency features with optimal channels by Ashenaei, Roghaieh, Asghar Beheshti, Ali, Yousefi Rezaii, Tohid

“…•Bivariate features using functional connectivity is used to extract discriminative features.•Proposed more realistic experimental paradigm.•Performance is…”
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Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes by Asadzadeh, Shiva, Yousefi Rezaii, Tohid, Beheshti, Soosan, Meshgini, Saeed

“…Due to the effect of emotions on interactions, interpretations, and decisions, automatic detection and analysis of human emotions based on EEG signals has an…”
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SRU-Net: a novel spatiotemporal attention network for sclera segmentation and recognition by Mashayekhbakhsh, Tara, Meshgini, Saeed, Rezaii, Tohid Yousefi, Makouei, Somayeh

“…Segmenting sclera images for effective recognition under non-cooperative conditions poses a significant challenge due to the prevalent noise. While U-Net-based…”
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Image compressed sensing recovery via nonconvex garrote regularization by Keshavarzian, Razieh, Aghagolzadeh, Ali, Rezaii, Tohid Yousefi

“…Sparsity inducing model is one of the most important components of image compressed sensing (CS) recovery methods. These models are built on the image prior…”
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ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework by Yousefi Rezaii, Tohid, Beheshti, Soosan, Shamsi, Mahdi, Eftekharifar, Siavash

“…[Display omitted] Advanced signal processing is widely used in healthcare systems and equipment. Compressing ECG signals is beneficial in long-term monitoring…”
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Transfer Learning Convolutional Neural Network for Sleep Stage Classification Using Two-Stage Data Fusion Framework by Abdollahpour, Mehdi, Rezaii, Tohid Yousefi, Farzamnia, Ali, Saad, Ismail

“…The most important part of sleep quality assessment is the classification of sleep stages, which helps to diagnose sleep-related disease. In the traditional…”
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Analysis of incremental LMS adaptive algorithm over wireless sensor networks with delayed-links by Haghrah, Amir Aslan, Tinati, Mohammad Ali, Yousefi Rezaii, Tohid

“…Wireless sensor networks (WSN) are used for many delay-sensitive applications, e.g. military surveillance, emergency response, city management, etc. Therefore,…”
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