Search
Now showing items 1-10 of 11
Konvolüsyonel Sinir Ağlarında Hiper-Parametre Optimizasyonu Yöntemlerinin İncelenmesi
(Gazi Üniversitesi, 2019)
Konvolüsyonel Sinir Ağları (KSA), katmanlarının en az bir tanesinde matris çarpımı yerine konvolüsyon işleminin kullanıldığı çok katmanlı yapay sinir ağlarının bir türüdür. Özellikle bilgisayarlı görü çalışmalarında çok ...
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 ...
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, ...
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 ...
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 ...
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 ...
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 ...
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 ...
Branch and End Points Detection in Cerebral Vessels Images Using Deep Learning Object Detection Techniques
(Gazi Üniversitesi, 2024)
In this study, we introduce a cutting-edge methodology for detecting branching and endpoints in two-dimensional brain vessel images, employing deep learning-based object detection techniques. While conventional image ...
