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Now showing items 31-40 of 43
Design and implementation of hydrogen economy using artificial neural network on field programmable gate array
(Pergamon-Elsevier Science Ltd, 2020)
In this study, economic analysis of the hydrogen generation and liquefaction system has been modeled using Multi-Layer Feed-Forward Artificial Neural Network (MLFFANN) and implemented on Field Programmable Gate Array (FPGA). ...
Kule Tipi Yapıların Dinamik Davranışının Belirlenmesi: Kırklareli Hızırbey Camii Minaresi Örneği
(2020)
Yapıların deprem davranışları çeşitli dinamik parametreler kullanılarak belirlenmektedir. Bu parametreler yapının mevcut yapısalözelliklerine, malzeme özelliklerine, sınır şartlarına ve hasar durumuna bağlı olarak elde ...
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 ...
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 ...
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 ...
In vitro evaluation of the bioaccessibility of antioxidative properties in commercially baby foods
(Springer India, 2020)
Fruit-vegetable based products are essential for infants as they widely used the first complementary solid foods. This study aimed to investigate the physicochemical properties, the antioxidant capacities, total phenolic ...
A fundamental optimization study on chewing gum textural and sensorial properties: The effect of ingredients
(Elsevier, 2020)
The composition of chewing gum and the interaction between its components are quite complex. Although these factors have great importance on product quality, they have not been adequately studied. In this study, effects ...
Energy Consumption Analysis of Lightweight Cryptographic Algorithms That Can Be Used in the Security of Internet of Things Applications
(Wiley-Hindawi, 2020)
The Internet of Things (IoT) has begun to acquire place in our lives quietly and gradually thanks to the presence of wireless communication systems. An increasing number of M2M applications, such as smart meters, healthcare ...