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Toplam kayıt 13, listelenen: 1-10
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 ...
Novel Surrogate Measures Based on a Similarity Network for Neural Architecture Search
(IEEE, 2023)
We propose two novel surrogate measures to predict the validation accuracy of the classification
produced by a given neural architecture, thus eliminating the need to train it, in order to speed up neural
architecture ...
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 ...
Parallel Molecular Alteration Between Alzheimer’s Disease and Major Depressive Disorder in the Human Brain Dorsolateral Prefrontal Cortex: An İnsight From Gene Expression and Methylation Profile Analyses
(The Genetics Society of Japan, 2023)
Alzheimer’s disease (AD) and major depressive disorder (MDD) are comorbid
neuropsychiatric disorders that are among the leading causes of long-term disability worldwide. Recent research has indicated the existence of ...
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 ...
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 ...