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Toplam kayıt 12, listelenen: 1-10
Feature Selection with Sequential Forward Selection Algorithm from Emotion Estimation Based on EEG Signals
(2019)
In this study, we conducted EEG-based emotion recognition on arousal-valence emotion model.We collected our own EEG data with mobile EEG device Emotiv Epoc+ 14 channel by applyingthe visual-aural stimulus. After collection ...
A Comparative Study of Amino Acid Encoding Methods for Predicting Drug-Target Interactions in COVID-19 Disease
(Springer Science and Business Media Deutschland GmbH, 2022)
Identifying drug-target interactions plays an important role in discovering drugs. Identifying, finding, and preparing drug molecule targets is the key for modern drug discovery. However, potential drug-target interactions ...
Prediction of Protein-Protein Interactions with LSTM Deep Learning Model
(Institute of Electrical and Electronics Engineers Inc., 2019)
Protein-protein interactions (PPI) has a vital role in molecular biology and bioinformatics since they are the key organisms which give information about cellular, its structure and its functions. In recent years many ...
Emotion recognition with deep learning using GAMEEMO data set
(Wiley, 2020)
Emotion recognition is actively used in brain-computer interface, health care, security, e-commerce, education and entertainment applications to increase and control human-machine interaction. Therefore, emotions affect ...
A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep Learning
(Springer Heidelberg, 2021)
The new type of corona virus (SARS-COV-2) emerging in Wuhan, China has spread rapidly to the world and has become a pandemic. In addition to having a significant impact on daily life, it also shows its effect in different ...
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
(Pergamon-Elsevier Science Ltd, 2020)
Coronavirus is an epidemic that spreads very quickly. For this reason, it has very devastating effects in many areas worldwide. It is vital to detect COVID-19 diseases as quickly as possible to restrain the spread of the ...
Database for an emotion recognition system based on EEG signals and various computer games - GAMEEMO
(Elsevier Sci Ltd, 2020)
In this study, electroencephalography-based data for emotion recognition analysis are introduced. EEG signals were collected from 28 different subjects with a wearable and portable EEG device called the 14-channel EMOTIV ...
EEG-Based Emotion Estimation with Different Deep Learning Models
(Ieee, 2019)
Emotion has a vital role in people's routine lives. It can be expressed via voice, facial expressions, body languages, mimics with intentionally or unintentionally to interact with the environment. In this regard, it is ...
A novel entropy-based mapping method for determining the protein-protein interactions in viral genomes by using coevolution analysis
(Elsevier Sci Ltd, 2021)
Protein-protein interactions have a vital role in DNA transcription, immune system, and signal transmission between cells. Determining the interactions between proteins can give information about the functional structure ...
A novel Fibonacci hash method for protein family identification by using recurrent neural networks
(Tubitak Scientific & Technical Research Council Turkey, 2021)
Identification and classification of protein families are one of the most significant problem in bioinformatics and protein studies. It is essential to specify the family of a protein since proteins are highly used in smart ...