Abstract
No public abstract is available from the verified source records.
Md. Ebrahim, Rakib Ahmed, Md. Fazlul Karim Khondakar, Ummul Kainatt, Hafsa Khan Trina
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
10.1145/3240508.3240641
10.1145/3240508.3240641
Inner speech in motor cortex and implications for speech neuroprostheses
10.1016/j.cell.2025.06.015 · 2025
EEG-CNN-Souping: Interpretable emotion recognition from EEG signals using EEG-cnn-souping model and explainable AI
10.1016/j.compeleceng.2025.110189 · 2025
Classification of imagined digits via brain-computer interface based on electroencephalogram
2019
A state-of-the-art review of EEG-based imagined speech decoding
10.3389/fnhum.2022.867281 · 2022
Brain computer interfacing: Applications and challenges
10.1016/j.eij.2015.06.002 · 2015
Non-invasive brain-computer interfaces: state of the art and trends
2024
A BCI system for imagined bengali speech recognition
2023
Multivariate variational mode decomposition & phase space reconstruction based motor imagery EEG classification
10.1016/j.compeleceng.2023.108737 · 2023
Application of transfer learning in EEG decoding based on brain-computer interfaces: a review
datacite
Confidence 0%
10.3390/s20216321 · 2020
Weighted common spatial pattern based adaptation regularization for multi-source EEG time series
10.1016/j.compeleceng.2024.109680 · 2024
EEG conformer: Convolutional transformer for EEG decoding and visualization
10.1109/tnsre.2022.3230250 · 2022
A unified information perceptron using deep reservoir computing
10.1016/j.compeleceng.2020.106705 · 2020
Multi-time and multi-band CSP motor imagery EEG feature classification algorithm
10.3390/app112110294 · 2021
Imagined speech classification using EEG and deep learning
10.3390/bioengineering10060649 · 2023
Classification of envisioned english speech from EEG using deep learning approaches
2025
Multiclass classification of imagined speech EEG using noise-assisted multivariate empirical mode decomposition and multireceptive field convolutional neural network
10.3389/fnhum.2023.1186594 · 2023
Unresolved referenced work
2025
EEG-based brain signals analysis for imagined digit recognition
2024
A systematic review of EEG-based imagined speech decoding
10.1016/j.asoc.2025.113563 · 2025
Explainable artificial intelligence-based identification of the localized events in imagined speech electroencephalogram
10.1016/j.compeleceng.2025.110608 · 2025
Single-trial classification of vowel speech imagery using common spatial patterns
10.1016/j.neunet.2009.05.008 · 2009
Classification of silent speech using support vector machine and relevance vector machine
10.1016/j.asoc.2013.10.023 · 2014
Deep learning in EEG-based BCIs: A comprehensive review of transformer models, advantages, challenges, and applications
10.1109/access.2023.3329678 · 2023
Envisioned speech recognition using EEG sensors
10.1007/s00779-017-1083-4 · 2018
EEG-based imagined-speech decoding: A review.
2026
Deep learning with convolutional neural networks for EEG decoding and visualization
10.1002/hbm.23730 · 2017
Identification of vowels in consonant–vowel–consonant words from speech imagery based EEG signals
10.1007/s11571-019-09558-5 · 2020
Novel joint algorithm based on EEG in complex scenarios
10.1080/24699322.2019.1649078 · 2019
Unresolved referenced work
2022
Thinking is like processing a sequence of spatial and temporal words
2024
EEG signals to digit classification using deep learning-based one-dimensional convolutional neural network
10.1007/s13369-022-07313-3 · 2023
3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal
10.3389/fnbot.2024.1485640 · 2024
Analysis and classification of speech imagery EEG for BCI
10.1016/j.bspc.2013.07.011 · 2013
Identification of imagined bengali vowels from EEG signals using activity map and convolutional neural network
10.1002/9781119857655.ch10 · 2023
Subject-independent EEG classification based on a hybrid neural network
2023
An explainable AI framework for EEG-based schizophrenia detection using MVMD and phase space dynamics
10.1016/j.compeleceng.2026.111318 · 2026
Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials
10.1088/1741-2552/aae5d8 · 2018
Compact convolutional transformer for subject-independent motor imagery EEG-based BCIs
10.1038/s41598-024-73755-4 · 2024
EEG imagined speech neuro-signal preprocessing and deep learning classification
10.1038/s41598-026-39395-6 · 2026
A framework for a real time intelligent and interactive brain computer interface
10.1016/j.compeleceng.2015.03.024 · doi-reference
A novel EEG motor imagery classification model using feature fusion of temporal convolution and attention
10.1016/j.compeleceng.2026.110990 · doi-reference
EEG-based intention recognition with deep recurrent-convolution neural network: Performance and channel selection by grad-CAM
10.1016/j.neucom.2020.07.072 · doi-reference
10.1109/iccv.2017.74
10.1109/iccv.2017.74 · doi-reference
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces
10.3389/fncom.2023.1232925 · doi-reference
Convolutional neural network with a topographic representation module for eeg-based brain—computer interfaces
10.3390/brainsci13020268 · doi-reference
The advantages of the matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
10.1186/s12864-019-6413-7 · doi-reference
Confusion matrix-based performance evaluation metrics
10.53555/ajbr.v27i4s.4345 · doi-reference
Deep learning for inner speech recognition: a pilot comparative study of eegnet and a spectro-temporal transformer on bimodal EEG-fMRI data
10.3389/fnhum.2025.1668935 · doi-reference
EEG-based four level fear classification using graph neural network and LSTM fusion model: Comparing raw and DE features with k-fold and leave-one-subject-out
10.1109/access.2026.3660974 · doi-reference
K-fold cross-validation can significantly over-estimate true classification accuracy in common EEG-based passive BCI experimental designs: an empirical investigation
10.3390/s23136077 · doi-reference
CSP-net: Common spatial pattern empowered neural networks for EEG-based motor imagery classification
10.1016/j.knosys.2024.112668 · doi-reference
Optimal spatial filtering of single trial EEG during imagined hand movement
10.1109/86.895946 · doi-reference
EEGLAB: an open source toolbox for analysis of single-trial eeg dynamics including independent component analysis
10.1016/j.jneumeth.2003.10.009 · doi-reference
An information-maximization approach to blind separation and blind deconvolution
10.1162/neco.1995.7.6.1129 · doi-reference
A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques
10.1186/s40708-024-00229-8 · doi-reference
A method for simultaneously counterbalancing condition order and assignment of stimulus materials to conditions
10.3758/s13428-014-0476-9 · doi-reference
Salient arithmetic data extraction from brain activity via an improved deep network
10.3390/s23239351 · doi-reference
Routine and sleep EEG: minimum recording standards of the international federation of clinical neurophysiology and the international league against epilepsy
10.1016/j.clinph.2023.01.002 · doi-reference
Image classification and reconstruction from low-density EEG
10.1038/s41598-024-66228-1 · doi-reference
Efficient feature extraction for EEG-based classification: A comparative review of deep learning models
10.3390/ai7020050 · doi-reference