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Toplam kayıt 40, listelenen: 31-40
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, ...
Chaotic Sand Cat Swarm Optimization
(MDPI, 2023)
In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm Optimization (CSCSO) is proposed for constrained and complex optimization problems. This algorithm
combines the features of the recently ...
A Novel Metaheuristic Based Method for Software Mutation Test Using the Discretized and Modified Forrest Optimization Algorithm
(Springer Lınk, 2023)
The number of detected bugs by software test data determines the efficacy of the test data. One of the most important topics
in software engineering is software mutation testing, which is used to evaluate the efficiency ...
Az Örnekle Öğrenme Problemleri için MAML ve ProtoNet Algoritmalarının İncelenmesi
(Osman Sağdıç, 2021)
Derin sinir ağları ile özellikle görüntü veri kümeleri üzerinde çok başarılı sonuçlar elde edilmektedir. Ancak bu başarının arkasında
büyük ölçekli etiketli veri kümeleri yatmaktadır. Derin öğrenme ağlarının özelleşmiş ...
An Application of Artificial Neural Networks for Solving Fractional Higher-order Linear Integro-differential Equations
(Springer Nature, 2023)
This ongoing work is vehemently dedicated to the investigation of a class of ordinary
linear Volterra type integro-differential equations with fractional order in numerical
mode. By replacing the unknown function by an ...
A Bioinspired Discrete Heuristic Algorithm to Generate the Eeffective Structural Model of a Program Source Code
(Elsevier, 2023)
When the source code of a software is the only product available, program understanding has a substantial
influence on software maintenance costs. The main goal in code comprehension is to extract information
that is ...
Existence of a Unique Solution and the Hyers–Ulam-H-Fox Stability of the Conformable Fractional Differential Equation by Matrix-Valued Fuzzy Controllers
(Wıley-Hındawıadam House, 2022)
In this paper, we consider a conformable fractional diferential equation with a constant coefcient and obtain an approximation
for this equation using the Radu–Mihet method, which is derived from the alternative fxed- ...
Deep Learning With Class-Level Abstract Syntax Tree and Code Histories for Detecting Code Modification Requirements
(Elsevier, 2023)
Improving code quality is one of the most significant issues in the software industry. Deep learning
is an emerging area of research for detecting code smells and addressing refactoring requirements.
The aim of this study ...
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 ...
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 ...