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Toplam kayıt 31, listelenen: 21-30
Simple CART Based Real-Time Traffic Classification Engine on FPGAs
(Ieee, 2017)
Traffic classification is a process which assorts computer network traffic into predefined traffic classes by utilizing packet header information or network packet statistics. Real-time traffic classification is mainly ...
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 ...
Application of parabolic blending for the estimation of thickness distribution in thermoformed products
(Sage Publications Ltd, 2021)
The Parabolic Blending (PB) technique has been widely used in various research fields, such as rotor noise prediction, over the last few decades. However, in the literature, PB is not utilised for the thickness prediction ...
A project based innovative approach to an embedded systems course laboratory in software engineering education
(Wiley, 2020)
In the software development process, which must be coded depending on the platform, software engineering students should have the optimum hardware competence. In this study, the embedded systems course in the software ...
A novel entropy-based mapping method for determining the protein-protein interactions in viral genomes by using coevolution analysis
(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
(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 ...
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
(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
(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 ...
Bird swarm algorithms with chaotic mapping
(Springer, 2020)
Swarm intelligence based optimization methods have been proposed by observing the movements of alive swarms such as bees, birds, cats, and fish in order to obtain a global solution in a reasonable time when mathematical ...
On the algebraic expression of the AES S-box like S-boxes
(2010)
In the literature, there are several proposed block ciphers like AES, Square, Shark and Hierocrypt which use S-boxes that are based on inversion mapping over a finite field. Because of the simple algebraic structure of ...