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Toplam kayıt 7, listelenen: 1-7
A Novel Intelligent Traffic Recovery Model for Emergency Vehicles Based on Context-aware Reinforcement Learning
(Elsevier, 2023)
Management of traffic emergencies has become very popular in recent years. However,
timely response to emergencies and recovering from an emergency is an important prob-
lem in itself. The strategies in the current ...
PSCSO: Enhanced Sand Cat Swarm Optimization Inspired by the Political System to Solve Complex Problems
(Elsevier, 2023)
The Sand Cat Swarm Optimization (SCSO) algorithm is a recently introduced metaheuristic with balanced
behavior in the exploration and exploitation phases. However, it is not fast in convergence and may not be
successful ...
Dynamic Multi-Objective Evolutionary Algorithms in Noisy Environments
(Elsevier, 2023)
Real-world multi-objective optimization problems encounter different types of uncertainty that
may affect the quality of solutions. One common type is the stochastic noise that contaminates
the objective functions. Another ...
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 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 ...
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 ...
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 ...