Purpose Human emotion recognition using electroencephalograms (EEG) is a critical area
of research in human–machine interfaces. Furthermore, EEG data are convoluted and …

Myocarditis is cardiac damage caused by a viral infection. Its result often leads to a variety of
arrhythmias. However, rapid and reliable identification of myocarditis has a great impact on …

Emotion recognition technology is widely employed in areas such as brain-computer
interfaces, healthcare, security, e-commerce, education, and entertainment. This technology …

Numerous existing studies on machine learning-based depression recognition have
focused on the frequency domain features of EEG data. Furthermore, their experiments have …

Cervical spondylotic myelopathy (CSM) is the most severe type of cervical spondylosis. It is
challenging to achieve early diagnosis with current clinical diagnostic tools. In this paper, we …

The recent development of speech enhancement methods has incorporated attention
mechanisms for learning long-term speech signal dependencies. The utilization of deep …

In era of big data, the computer vision-assisted textual extraction techniques for financial
invoices have been a major concern. Currently, such tasks are mainly implemented via …

Artificial intelligence has been utilized to analyze patients' electroencephalograms (EEG) to
diagnose depression. However, attackers can deduce patients' privacy after analyzing …

Solar flares are violent and sudden eruptions that occur in the solar atmosphere and release
energy in the form of radiation. They can affect technological systems on Earth and in its …

Electroencephalography (EEG) signals provide an objective reflection of the inner workings
of the brain, making them a promising tool for the diagnosis of depression. However, the …