The assessment of physiological signals such as the electroencephalography (EEG) has
become a key point in the research area of emotion detection. This study compares the …

Abstract Internet of Things (IoT)-based systems need to be up to date on cybersecurity
threats. The security of IoT networks is challenged by software piracy and malware attacks …

Dementia has become a global public health issue. The current study is focused on
diagnosing dementia with Electro Encephalography (EEG). The detection of the …

The goal of the current study is to develop a diagnosis model for chili pepper disease
diagnosis by applying filter and wrapper feature selection methods as well as a Multi-Layer …

Brain tumor detection in medical image processing presents a formidable challenge due to
the complex behavior exhibited by these tumors. Their intricate nature arises from a variety …

This paper proposes a lip reading method based on convolutional neural networks applied
to Concatenated Three Sequence Keyframe Image (C3-SKI), consisting of (a) the Start-Lip …

This research aims to develop the analysis model for diseases in water buffalo towards the
application of the feature selection technique along with the Multi-Layer Perceptron neural …

Individuals facing verbal communication impairments resulting from brain disorders like
paralysis or autism encounter significant challenges when unable to articulate speech. This …