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Toplam kayıt 23, listelenen: 1-10
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 ...
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 ...
Algebraic construction of cryptographically good binary linear transformations
(Wiley-Hindawi, 2014)
[Abstract Not Available]
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 ...
Effects of using a force feedback haptic augmented simulation on the attitudes of the gifted students towards studying chemical bonds in virtual reality environment
(Taylor & Francis Ltd, 2017)
The aim of this study is to identify the effects of force feedback haptic applications developed in virtual reality environments (VREs), which is an important field of study in computer science and engineering, on gifted ...
Real-Time Traffic Classification using Simple CART Forest on FPGAs
(Ieee, 2018)
Traffic classification process categorizes internet traffic into application classes by exploiting packet header data or collected packet statistics. Real-time internet traffic classification is mostly required for network ...