Konu "Deep learning" için Fakülteler listeleme
Toplam kayıt 5, listelenen: 1-5
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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 ... -
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 ... -
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 ... -
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)
(Ieee-Inst Electrical Electronics Engineers Inc, 2021)Gradient-based algorithms have been widely used in optimizing parameters of deep neural networks' (DNNs) architectures. However, the vanishing gradient remains as one of the common issues in the parameter optimization of ... -
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 ...