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Toplam kayıt 31, 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 ...
Pozitif ve Negatif Duyguların Ayrımında Etkili EEG Kanallarının Dalgacık Dönüşümü ve Destek Vektör Makineleri ile Belirlenmesi
(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
(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 ...
Sürü zekâsında yeni bir yaklaşım: Kuş sürüsü algoritması
(2017)
Matematiksel programlama olarak da bilinen optimizasyon, bir amaç (değerlendirme) fonksiyonuna göre bir problemde belirli aralıktaki sayısal değerlerin en uygununu seçen işlemler topluluğudur. Optimizasyon problemleri için ...
Review of machine learning and deep learning models in agriculture
(2021)
Machine learning (ML) refers to the processes that enable computers to think based on variouslearning methods. It can be also called domain which is a subset of Artificial Intelligence (AI).Deep learning (DL) has been a ...
Designing a Secure IoT Network by Using Blockchain
(Institute of Electrical and Electronics Engineers Inc., 2019)
By the emergence of many intelligent application areas that can be diversified, such as homes and cities being smarter, creates new opportunities. It is clear that the Internet of Things (IoT) will be a large network with ...
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 ...
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 ...
The Construction of a Majority-Voting Ensemble Based on the Interrelation and Amount of Information of Features
(Oxford Univ Press, 2020)
In this paper, we introduced a new ensemble learning algorithm called VIBES, which is better in terms of performance when compared to 85 machine learning algorithms in WEKA tool. This new algorithm is based on three major ...