Konu "Deep Learning" için Scopus İndeksli Yayınlar / Scopus Indexed Publications listeleme
Toplam kayıt 8, listelenen: 1-8
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A Deep Learning Based Android Malware Detection System with Static Analysis
(Institute of Electrical and Electronics Engineers Inc., 2022)In recent years, smart mobile devices have become indispensable due to the availability of office applications, the Internet, game applications, vehicle guidance or similar most of our daily lives applications in addition ... -
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, ... -
Detecting Code Smell with a Deep Learning System
(IEEE, 2023)Code smell detection is one of the most significant issues in the software industry. Metric-based static code analysis tools are used to detect undesirable coding practices known as code smells and guide refactoring ... -
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 ... -
Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation
(Springer, 2023)Deep neural networks give successful results for segmentation of medical images. The need for optimizing many hyper-parameters presents itself as a significant limitation hampering the effectiveness of deep neural network ... -
Prediction of Star Polygon Types in Islamic Geometric Patterns with Deep Learning
(Springer, 2024)Historical buildings in the Eastern world of architecture host many Islamic geometric patterns which are known as mathematically sophisticated patterns regarding their period of creation. This study focuses on the ... -
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 ... -
A Unified Framework for Multi-Language Sentiment Analysis
(IEEE, 2023)The unified framework for multi-language sentiment analysis is a vital aspect of understanding customer opinions, emotions, and feedback. This paper presents a unified framework to increase the performance of the ...