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Islanding Detection in Microgrid Using Deep Learning Based on 1D CNN and CNN-LSTM Networks
(Elsevier, 2022)
Islanding detection is a critical task due to safety hazards and technical issues for the operation of
microgrids. Deep learning (DL) has been applied for islanding detection and achieved good results
due to the ability ...
Deep Learning based Malware Detection for Android Systems: A Comparative Analysis
(Sveuciliste Josipa Jurja Strossmayera u Osijeku, 2023)
Nowadays, cyber attackers focus on Android, which is the most popular open-source operating system, as main target by applying some malicious software
(malware) to access users' private information, control the device, ...
Protecting Android Devices from Malware Attacks: A State-of-the-Art Report of Concepts, Modern Learning Models and Challenges
(IEEE, 2023)
Advancements in microelectronics have increased the popularity of mobile devices like
cellphones, tablets, e-readers, and PDAs. Android, with its open-source platform, broad device support,
customizability, and integration ...