Research graph
References from Boosted Harris Hawks Shuffled Shepherd Optimization Augmented Deep Learning based motor imagery classification for brain computer interface. Local targets link to admitted publications; unresolved targets remain external evidence.
Electroencephalography-based brain–Computer interface motor imagery classification
10.4103/jmss.jmss_74_20 · 2022 · External reference
Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces
10.1016/j.neunet.2022.03.025 · 2022 · External reference
An optimized artificial intelligence based technique for identifying motor imagery from EEGs for advanced brain computer interface technology
10.1007/s00521-022-08027-1 · 2023 · External reference
A large EEG dataset for studying cross-session variability in motor imagery brain-computer interface
10.1038/s41597-022-01647-1 · 2022 · External reference
Effective lung cancer detection using deep learning network
10.54216/jchci.050202 · 2023 · External reference
10.1109/lifetech52111.2021.9391933
10.1109/lifetech52111.2021.9391933 · External reference
Towards Improving Motor Imagery Brain–Computer Interface Using Multimodal Speech Imagery
2023 · External reference
10.1109/i2mtc53148.2023.10176052
10.1109/i2mtc53148.2023.10176052 · External reference
Toward the development of versatile brain–computer interfaces
10.1109/tai.2021.3097307 · 2021 · External reference
Using Brain-Computer Interface to Control a Virtual Drone Using Non-Invasive Motor Imagery and Machine Learning
10.3390/app112411876 · 2021 · External reference
A deep transfer learning network with two classifiers based on sample selection for motor imagery brain-computer interface
10.1016/j.bspc.2023.105786 · 2024 · External reference
An efficient EEG signal classification technique for Brain–Computer Interface using hybrid Deep Learning
10.1016/j.bspc.2022.104005 · 2022 · External reference
Applying deep learning in brain computer interface to classify motor imagery
2023 · External reference
Multiclass classification of motor imagery tasks based on multi-branch convolutional neural network and temporal convolutional network model
10.1093/cercor/bhad511 · 2024 · External reference
Arithmetic optimization with retinanet model for motor imagery classification on brain computer interface
10.1155/2022/3987494 · 2022 · External reference
Classification of BCI Multiclass Motor Imagery Task Based on Artificial Neural Network
2023 · External reference
MI-BMInet: An efficient convolutional neural network for motor imagery brain–Machine interfaces with EEG channel selection
2024 · External reference
EEG temporal information-based 1-D convolutional neural network for motor imagery classification
10.1007/s11042-023-16536-x · 2023 · External reference
Motor imagery classification in brain-machine interface with machine learning algorithms: Classical approach to multi-layer perceptron model
10.1016/j.bspc.2021.103101 · 2022 · External reference
An efficient multiscale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces
10.1016/j.bspc.2022.103496 · 2022 · External reference
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
10.1016/j.engappai.2022.105347 · 2022 · External reference
EEG-based motor imagery channel selection and classification using hybrid optimization and two-tier deep learning
10.1016/j.jneumeth.2024.110215 · 2024 · External reference
Classification of motor imagery EEG signals based on data augmentation and convolutional neural networks
10.3390/s23041932 · 2023 · External reference
Classification of BCI multiclass motor imagery task based on artificial neural network
10.1177/15500594221148285 · 2024 · External reference
Individual-finger motor imagery classification: a data-driven approach with Shapley-informed augmentation
10.1088/1741-2552/ad33b3 · 2024 · External reference
NF-EEG: A generalized CNN model for multi class EEG motor imagery classification without signal preprocessing for brain computer interfaces
10.1016/j.bspc.2024.106081 · 2024 · External reference
Electroencephalogram-Based Motor Imagery Classification Using Deep Residual Convolutional Networks
10.3389/fnins.2021.774857 · 2021 · External reference
Attention-based DenseNet for pneumonia classification
10.1016/j.irbm.2021.12.004 · 2022 · External reference
Optimized Deep Learning Model for Flood Detection Using Satellite Images
10.3390/rs15205037 · 2023 · External reference
Deep feature learning for medical image analysis with convolutional autoencoder neural network
10.1109/tbdata.2017.2717439 · 2017 · External reference
BCI competition 2003-data set III: probabilistic modeling of sensorimotor/spl mu/rhythms for classification of imaginary hand movements
10.1109/tbme.2004.827076 · 2004 · External reference
Optimal Fuzzy Logic Enabled EEG Motor Imagery Classification for Brain Computer Interface
2023 · External reference
Motor imagery EEG task recognition using a nonlinear Granger causality feature extraction and an improved Salp swarm feature selection
10.1016/j.bspc.2023.105626 · 2024 · External reference
Multi class robust brain tumor with hybrid classification using DTA algorithm
2024 · External reference
