Güncel Gönderiler: Bilgisayar Mühendisliği Bölümü
Toplam kayıt 179, listelenen: 21-40
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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 ... -
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 ... -
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- ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 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 ... -
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, ... -
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 ... -
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 ... -
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 ... -
Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation
(Springer, 2023)Deep neural networks give successful results for segmentation of medical images. The need for optimizing many hyper-parameters presents itself as a significant limitation hampering the effectiveness of deep neural network ... -
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 ... -
Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization
(Bursa Teknik Üniversitesi, 2022)Exam seat allocation has become a complex problem, with an increasing number of students, subjects, exams, departments, and rooms in higher education institutions. The requirements and constraints of this problem ...
