EEG signals to digit classification using deep learning-based one-dimensional convolutional neural network
S Tiwari, S Goel, A Bhardwaj - Arabian Journal for Science and …, 2023 - Springer
The communication between the human brain and the external devices can be established
using Electroencephalograms (EEG)-based Brain–Computer Interface by converting the …
using Electroencephalograms (EEG)-based Brain–Computer Interface by converting the …
Autism spectrum disorder detection using machine learning techniques
A Ridouh, F Imedjdouben… - International Journal of …, 2024 - inderscienceonline.com
Autism is a developmental disorder that occurs in early childhood and affects
communication and social interaction; it includes specific and recurring patterns of …
communication and social interaction; it includes specific and recurring patterns of …
[PDF][PDF] An Analysis of EEG Signal Classification for Digit Dataset
Abstract Artificial Intelligence (AI) and Machine Learning has brought significant attention to
the human brain, making it a prominent research area in engineering and technology and …
the human brain, making it a prominent research area in engineering and technology and …
[PDF][PDF] Analysis of Machine Learning Models Using Proposed EEG Vowel Dataset
Electroencephalogram (EEG) signals are produced by neurons of human brain and contain
frequencies and electrical properties. It is easy for a Brain to Computer Interface (BCI) …
frequencies and electrical properties. It is easy for a Brain to Computer Interface (BCI) …