Objective We used deep convolutional neural networks (DCNNs) to classify
electroencephalography (EEG) signals in a steady-state visually evoked potentials (SSVEP) …

The main hypothesis of this work is that the time of delay in reaction to an unexpected event
can be predicted on the basis of the brain activity recorded prior to that event. Such mental …

Objective. To propose novel SSVEP classification methodologies using deep neural
networks (DNNs) and improve performances in single-channel and user-independent brain …

Objective To propose a novel deep neural network (DNN) architecture-the filter bank
convolutional neural network (FBCNN)-to improve SSVEP classification in single-channel …

This paper introduces a Linear Quadratic Regulator (LQR) based speed control for remote-
controlled (RC) car racing. When it comes to RC car racing, the objective is to be the fastest …

n this research, a Brain Computer Interface (BCI) based on Steady State Visually Evoked
Potential (SSVEP) for computer control appli-cations using Support Vector Machine (SVM) is …

We live in a period where machines have become a fundamental piece of our day-to-day
existence. These machines that surround us largely depend on human assistance. To …