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QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals
The most cost-effective data collection method is electroencephalography (EEG), which
obtains meaningful information about the brain. Therefore, EEG signal processing is crucial …
obtains meaningful information about the brain. Therefore, EEG signal processing is crucial …
TATPat based explainable EEG model for neonatal seizure detection
The most cost-effective data collection method is electroencephalography (EEG) to obtain
meaningful information about the brain. Therefore, EEG signal processing is very important …
meaningful information about the brain. Therefore, EEG signal processing is very important …
[HTML][HTML] Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals
Background: Electroencephalography (EEG) signal-based machine learning models are
among the most cost-effective methods for information retrieval. In this context, we aimed to …
among the most cost-effective methods for information retrieval. In this context, we aimed to …
[HTML][HTML] CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals
Background\Objectives: Solving the secrets of the brain is a significant challenge for
researchers. This work aims to contribute to this area by presenting a new explainable …
researchers. This work aims to contribute to this area by presenting a new explainable …
[HTML][HTML] ChMinMaxPat: Investigations on Violence and Stress Detection Using EEG Signals
Background and Objectives: Electroencephalography (EEG) signals, often termed the letters
of the brain, are one of the most cost-effective methods for gathering valuable information …
of the brain, are one of the most cost-effective methods for gathering valuable information …
DoubleSENeXt: Investigations on Enchondroma Detection
There are various deep learning models used to solve computer vision problems, with
convolutional neural networks (CNNs) and transformers being commonly employed …
convolutional neural networks (CNNs) and transformers being commonly employed …