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Toplam kayıt 16, listelenen: 1-10
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 ...
A Comparative Study of Amino Acid Encoding Methods for Predicting Drug-Target Interactions in COVID-19 Disease
(Springer Science and Business Media Deutschland GmbH, 2022)
Identifying drug-target interactions plays an important role in discovering drugs. Identifying, finding, and preparing drug molecule targets is the key for modern drug discovery. However, potential drug-target interactions ...
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 ...
Force Feedback Simulation Design for Fruit Hardness
(Ieee, 2020)
Hardness value is one of the decisive criteria for fruit harvest period. It is important for harvest yield that the harvesting personnel knows the differences of this value with respect to the fruits. Especially in industrial ...
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 ...