Yazar "Türkoğlu, İbrahim" için listeleme
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A Comparative Study of Amino Acid Encoding Methods for Predicting Drug-Target Interactions in COVID-19 Disease
Alakuş, Talha Burak; Türkoğlu, İbrahim (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 ... -
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 ... -
EEG-Based Emotion Estimation with Different Deep Learning Models
Alakuş, Talha Burak; Türkoğlu, İbrahim (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 ... -
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 ... -
Prediction of Protein-Protein Interactions with LSTM Deep Learning Model
Alakuş, Talha Burak; Türkoğlu, İbrahim (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 ...
