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Toplam kayıt 13, 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 ...
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 ...
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 ...
N-version programming approach with implicit safety guarantee for complex dynamic system stabilization applications
(Sage Publications Ltd, 2021)
Safety-critical systems are widely used in many sectors to prevent fatal accidents and prevent loss of life, damage of property, or deterioration of the environment. Implementation of software safety standards as part of ...
On the Construction of 20 x 20 and 24 x 24 Binary Matrices with Good Implementation Properties for Lightweight Block Ciphers and Hash Functions
(Hindawi Ltd, 2014)
We present an algebraic construction based on state transform matrix (companion matrix) for n x n (where n + 2(k), k being a positive integer) binary matrices with high branch number and low number of fixed points. We also ...
On the algebraic construction of cryptographically good 32 x 32 binary linear transformations
(Elsevier Science Bv, 2014)
Binary linear transformations (also called binary matrices) have matrix representations over GF(2). Binary matrices are used as diffusion layers in block ciphers such as Camellia and ARIA. Also, the 8 x 8 and 16 x 16 binary ...
Comparison of deep learning approaches to predict COVID-19 infection
(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 ...