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Toplam kayıt 189, listelenen: 181-189
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 ...
Performance Evaluation of Real-Time Video Processing Edge Detection on Various Platforms
(IEEE, 2023)
As real-time video processing applications grow in
complexity, they demand higher performance. Achieving such
a performance must involve a delicate balance between design
constraints and optimization of performance ...
Triplet MAML for Few-shot Classification Problems
(Springer, 2023)
In this study, we propose a TripletMAML algorithm as an extension to Model-Agnostic Meta-Learning (MAML) which is the most widely-used optimization-based meta-learning algorithm. We approach MAML from a metric-learning ...
Evolutionary Architecture Optimization for Retinal Vessel Segmentation
(IEEE, 2023)
Retinal vessel segmentation (RVS) is crucial
in medical image analysis as it helps identify and monitor
retinal diseases. Deep learning approaches have shown
promising results for RVS, but designing optimal neural
network ...
Fabrication of Polycaprolactone-Chitosan/Curcumin Polymer Composite Fibers and Evaluation of Their in Vitro Release Kinetic Behavior and Antibacterial-Antifungal Activity
(Springer, 2023)
Microencapsulation is an attractive method in the production of controlled release and targeted delivery systems and is widely
used to increase the bioavailability of antimicrobial molecules. Chitosan (CS) is commonly ...
Load Estimation of Different Types of Domestic Users Using Machine Learning Methods and Optimal Battery Sizing
(IEEE, 2023)
gained ever-increasing importance as the world population grows, set to reach 10 billion by 2050. The urgency for sustainable and nature-friendly energy production, as well as efficient consumption, parallels the rising ...
Şebekeye Bağlı Dağıtık Üretim Sistemleri için Akıllı Ada Çalışma Tespit Yöntemlerinin İncelenmesi
(Gazi Üniversitesi, 2023)
Mikro şebekeler fotovoltaik, rüzgâr ve hidrolik gibi enerji kaynaklarının şebekeye entegrasyonunu sağlayan ve şebekeye bağlı ve şebekeden bağımsız çalışabilen, geleceğin enerji sisteminin önemli bir parçasını oluşturmaktadır. ...
A Comparative Study of Release Kinetics Behavior Models and Shelf Life Assessment of Bacitracin Zinc-Loaded Pla Composites
(Konya Technical University, 2023)
Mathematical modeling aims to simplify the complex process of drug release and to gain knowledge about the release mechanisms specific to a given material system. Consequently, a mathematical model focuses primarily on one ...