Conventional brain‐computer interface (BCI) systems have been facing two fundamental
challenges: the lack of high detection performance and the control command problem. To …

Abstract Background and objective Attention-Deficit/Hyperactivity Disorder (ADHD) is a
chronic behavioral disorder in children. Children with ADHD face many difficulties in …

The trend prediction of the stock is a main challenge. Accidental factors often lead to short-
term sharp fluctuations in stock markets, deviating from the original normal trend. The short …

Advances in the field of Brain-Computer Interfaces (BCIs) aim, among other applications, to
improve the movement capacities of people suffering from the loss of motor skills. The main …

Background The nonstationarity problem of EEG is very serious, especially for spontaneous
signals, which leads to the poor effect of machine learning related to spontaneous signals …

The interphase forces of gas-liquid two-phase flow produce flow noise, which contains
abundant two-phase flow information, such as two-phase flow rate, flow pattern, void …

The basis of the work of electroencephalography (EEG) is the registration of electrical
impulses from the brain using a special sensor or electrode. This method is used to treat and …

The input of a video game can vary from a keyboard, a mouse, a controller, and a plethora of
other methods. The electroencephalogram (EEG) is a cap worn on the head that can detect …

Alcoholism is one of the most common diseases in the world. This type of substance abuse
leads to mental and physical dependence on ethanol-containing drinks. Alcoholism is …

A neural network approach has been developed for detecting EEG patterns accompanying
the implementation of motor imagery, which are mental equivalents of real movements. The …