A logistic binary Jaya optimization-based channel selection scheme for motor-imagery classification in brain-computer interface
A Tiwari - Expert Systems with Applications, 2023 - Elsevier
BCI systems use motor imagery to allow users to control external devices through their brain
activity. They extract neural signals from the brain using a large number of EEG channels …
activity. They extract neural signals from the brain using a large number of EEG channels …
Dual attention relation network with fine-tuning for few-shot EEG motor imagery classification
Recently, motor imagery (MI) electroencephalography (EEG) classification techniques using
deep learning have shown improved performance over conventional techniques. However …
deep learning have shown improved performance over conventional techniques. However …
EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer
Electroencephalogram (EEG) has shown a useful approach to produce a brain–computer
interface (BCI). One-dimensional (1-D) EEG signal is yet easily disturbed by certain artifacts …
interface (BCI). One-dimensional (1-D) EEG signal is yet easily disturbed by certain artifacts …
Improvement of motor imagery electroencephalogram decoding by iterative weighted sparse-group lasso
B Lu, F Wang, S Wang, J Chen, G Wen, R Fu - Expert Systems with …, 2024 - Elsevier
Discriminative feature selection is vital for enhancing motor imagery decoding performance
in electroencephalogram (EEG) signals. However, existing feature optimization methods …
in electroencephalogram (EEG) signals. However, existing feature optimization methods …
Lumbar Spine Disease Detection: Enhanced CNN Model With Improved Classification Accuracy
Back pain is an issue affecting millions of people throughout the world. Research on back
pain root cause detection is immense. The lumbar spine is a lower back region of the …
pain root cause detection is immense. The lumbar spine is a lower back region of the …
A hybrid feature selection method using an improved binary butterfly optimization algorithm and adaptive β–hill climbing
A Tiwari - IEEE Access, 2023 - ieeexplore.ieee.org
The Butterfly Optimization Algorithm (BOA) is a recently proposed nature-inspired
metaheuristic algorithm mimicking the food-foraging behavior of butterflies. Its abilities …
metaheuristic algorithm mimicking the food-foraging behavior of butterflies. Its abilities …
Malaria Disease Cell Classification With Highlighting Small Infected Regions
M Yebasse, KJ Cheoi, J Ko - IEEE Access, 2023 - ieeexplore.ieee.org
Deep learning-based methods have become an active research area in medical imaging.
Malaria is diagnosed by testing red blood cells. Deep learning methods can be used to …
Malaria is diagnosed by testing red blood cells. Deep learning methods can be used to …
Selective multi–view time–frequency decomposed spatial feature matrix for motor imagery EEG classification
T Luo - Expert Systems with Applications, 2024 - Elsevier
Decoding brain activity from non-invasive motor imagery electroencephalograph (MI-EEG)
has garnered significant attentions for brain-computer interface (BCI) and brain disorders …
has garnered significant attentions for brain-computer interface (BCI) and brain disorders …
An Effective Hybrid Metaheuristic Algorithm for Solving Global Optimization Algorithms
A Seyyedabbasi, WZ Tareq Tareq… - Multimedia Tools and …, 2024 - Springer
Abstract Recently, the Honey Badger Algorithm (HBA) was proposed as a metaheuristic
algorithm. Honey badger hunting behaviour inspired the development of this algorithm. In …
algorithm. Honey badger hunting behaviour inspired the development of this algorithm. In …
Efficient space learning based on kernel trick and dimension reduction technique for multichannel motor imagery EEG signals classification
Y Amiri, H Omranpour - Neural Computing and Applications, 2024 - Springer
Electroencephalogram (EEG) signals show the electrical activity of the brain, which are one
of the inputs of the brain–computer interface (BCI). The BCI provides the communication …
of the inputs of the brain–computer interface (BCI). The BCI provides the communication …