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Toplam kayıt 17, 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 ...
A Comparison of Different Loss Computations in Siamese Networks for Authorship Verification
(Springer, 2023)
In this study, we consider the author verification problem as a binary
classification problem where the aim is to identify whether the two inputs belong to
the same author or not. For this task, we have used several ...
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 ...
Prediction of the Remaining Useful Life of Engines for Remanufacturing Using a Semi-supervised Deep Learning Model Trained by the Bees Algorithm
(Springer, 2023)
Smart and sustainable manufacturing is important for enterprises to handle global
challenges [1]. Products, systems, and components are reused, remanufactured, and
recycled instead of being disposed of in landfills, which ...
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 New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems
(Springer, 2023)
The mechanism for reacting to the changes in an environ-
ment when detected is the key issue that distinguishes various algorithms
proposed for dynamic multi-objective optimization problems (DMOPs).
The severity of ...
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 ...
BaDENAS: Retina Damar Segmentasyonu için Bayes Tabanlı Sinir Mimarisi Arama
(IEEE, 2023)
Retinal damar segmentasyonu, retinal görüntülerin analizi için önemli bir görevdir ve göz hastalıklarının teşhisinde ve tedavisinde kullanılan etkili bir araçtır. Damar segmentasyonunu otomatik hale getiren U-Net gibi derin ...
Hücre Canlılığı Tespitinde Yapay Öğrenme Yaklaşımları
(IEEE, 2023)
Hücre canlılığı, kök hücre tedavileri, kanser tedavileri, estetik ve kozmetik gibi klinik araştırmalarda önemli yer tutmaktadır. Doğru tedavi ve yaklaşımın uygulanabilmesi için alınan örnekteki toplam hücre canlılık oranı ...