Yazar "Türkoğlu, İbrahim" için Makale Koleksiyonu listeleme
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Comparison of deep learning approaches to predict COVID-19 infection
Alakuş, Talha Burak; Türkoğlu, İbrahim (Pergamon-Elsevier Science Ltd, 2020)The SARS-CoV2 virus, which causes COVID-19 (coronavirus disease) has become a pandemic and has expanded all over the world. Because of increasing number of cases day by day, it takes time to interpret the laboratory findings ... -
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Toraman, Suat; Alakuş, Talha Burak; Türkoğlu, İbrahim (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
Alakuş, Talha Burak; Gönen, Murat; Türkoğlu, İbrahim (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 ... -
Emotion recognition with deep learning using GAMEEMO data set
Alakuş, Talha Burak; Türkoğlu, İbrahim (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 ... -
Feature Selection with Sequential Forward Selection Algorithm from Emotion Estimation Based on EEG Signals
Alakuş, Talha Burak; Türkoğlu, İbrahim (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 novel entropy-based mapping method for determining the protein-protein interactions in viral genomes by using coevolution analysis
Alakuş, Talha Burak; Türkoğlu, İbrahim (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
Alakuş, Talha Burak; Türkoğlu, İbrahim (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 ... -
A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep Learning
Alakuş, Talha Burak; Türkoğlu, İbrahim (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 ... -
Pozitif ve Negatif Duyguların Ayrımında Etkili EEG Kanallarının Dalgacık Dönüşümü ve Destek Vektör Makineleri ile Belirlenmesi
Alakuş, Talha Burak; Türkoğlu, İbrahim (2019)Duygular kişilerin yaşamlarını ve karar verme mekanizmalarını hayatının tamamında etkilemektedir. İnsanlarduygulara kelimeleri, sesleri, yüz mimiklerini ve vücut dillerini kullanarak istemli ya istemsiz bir şekilde, iş ...