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Toplam kayıt 64, listelenen: 31-40
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 ...
Changes in anthocyanins and colour of black mulberry (Morus nigra) juice during clarification and pasteurization
(Springer, 2021)
The effects of enzymatic treatment, clarification with bentonite, gelatin and kieselsol, and pasteurization on the anthocyanins (ACNs) and colour of black mulberry juice (BMJ) were studied. Enzymatic treatment caused ...
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 ...
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 new approach to limit fault current with series-parallel resonance strategy
(Springer, 2020)
Increased power generation depending on demand, becoming widespread of distributed generation systems connecting to the grid in parallel, and the expansion of network cause the fault current levels to increase in power ...
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 ...
Development of a new model for determine of cutting parameters in metal drilling processes
(Springer Heidelberg, 2020)
Metal drilling and cutting processes are used commonly in many areas of the industry. When these processes investigated analytically, it is seen that they have a very complicated structure. This complicated structure can ...
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 ...
INVESTIGATION OF SOME QUALITY PARAMETERS OF PICKLED PEPPER PRODUCED BY LOW VALUE DAIRY BY-PRODUCTS
(2020)
In this study, traditional pickled pepper was produced in 3 different formulations by using whey cheese and cheese crumbs, which are obtained as a by-product in the cheese-making process. In the scope of the study, the ...