EF Ohata, GM Bezerra, JVS das Chagas… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
The new coronavirus (COVID-19), declared by the World Health Organization as a pandemic, has infected more than 1 million people and killed more than 50 thousand. An …
Following the research question and the relevant dataset, feature extraction is the most important component of machine learning and data science pipelines. The wavelet …
The number of deaths caused by alcohol-related diseases may be reduced by predicting alcohol use disorder (AUD). Many researchers have worked on AUD prediction using …
Alcoholism is attributed to regular or excessive drinking of alcohol and leads to the disturbance of the neuronal system in the human brain. This results in certain malfunctioning …
The main purpose of this paper is to provide information on how to create a convolutional neural network (CNN) for extracting features from EEG signals. Our task was to understand …
H Zhang, FHS Silva, EF Ohata, AG Medeiros… - Frontiers in Human …, 2020 - frontiersin.org
Recent statistics have shown that the main difficulty in detecting alcoholism is the unreliability of the information presented by patients with alcoholism; this factor confusing …
M Arican, K Polat - Journal of Artificial Intelligence and Systems, 2020 - iecscience.org
Social participation of people with disabilities is tried to be increased with state-supported projects recently. However, even in neuromuscular diseases such as Motor Neurone …
The diagnosis of social anxiety disorder (SAD) is of great consequence not only due to its impacts on the individual and society but also the expenditures to the national health …
Alcohol dependence is a common mental disease worldwide. Excessive alcohol consumption may lead to alcoholism and many complications. In severe cases, it will lead to …