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Data augmentation based malware detection using convolutional neural networks
(PeerJ Inc., 2021)
Due to advancements in malware competencies, cyber-attacks have been broadly observed in the digital world. Cyber-attacks can hit an organization hard by causing several damages such as data breach, financial loss, and ...
A generative model based adversarial security of deep learning and linear classifier models
(Slovene Society Informatika, 2021)
In recent years, machine learning algorithms have been applied widely in various fields such as health, transportation, and the autonomous car. With the rapid developments of deep learning techniques, it is critical to ...
Business intelligence application in the natural gas industry: A company case
(Springer Science and Business Media Deutschland GmbH, 2021)
Recently, information technology tools have been extensively used to accelerate the flow of data, and huge amounts of data have been generated. Therefore, the advantages of having a large amount of data are quite high, ...
Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images
(Elsevier, 2021)
Countries the world over have focused on protecting human health and combatting the COVID-19 outbreak. It has had a destructive effect on human health and daily life. Many people have been infected and have died. It is ...