Bilgisayar Mühendisliği Bölümü
Recent Submissions
-
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 ... -
Metaheuristic Algorithms in IoT: Optimized Edge Node Localization
(Springer, 2022)In this study, a new hybrid method is proposed by using the advantages of Grey Wolf Optimizer (GWO) and Moth-Flame Optimization (MFO) algorithms. The proposed hybrid metaheuristic algorithm tries to find the near-optimal ... -
Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup
(Sprınger, 2022)Tuning a race car to improve its performance by adopting an effective setup is crucial and an extremely challenging task. The Open Racing Car Simulator, referred to as TORCS, is a well-known simulator in which a race car ... -
Low-cost VIS/NIR Range Hand-held and Portable Photospectrometer and Evaluation of Machine Learning Algorithms for Classification Performance
(Elsevier B.V., 2022)In this study, the electronic design of a low-cost and portable spectrophotometer device capable of analyzing in the visible-near infrared region was established. The design of C#.NET-based user-friendly device control ... -
The Best Approximation of Generalized Fuzzy Numbers Based on Scaled Metric
(Hindawi Limited., 2022)The ongoing study has been vehemently allocated to propound an ameliorated α-weighted generalized approximation of an arbitrary fuzzy number. This method sets out to lessen the distance between the original fuzzy set and ... -
Karşıt Tabanlı İkili Parçacık Sürü Optimizasyonu Algoritması ile Öznitelik Seçimi
(IEEE, 2022)Bu çalışmada öznitelik seçimi probleminin çözümü için meta-sezgisel algoritmalardan İkili Parçacık Sürü Optimizasyonu algoritmasının Karşıt Tabanlı Öğrenme yöntemi ile kullanıldığı yeni yaklaşım önerilmiştir. Karşıt Tabanlı ... -
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 ... -
Evrişimsel Sinir Ağları ile Cilt Hastalıklarının Tanısında Transfer Öğrenme Yönteminin Uygulanması
(IEEE, 2022)Dünya genelinde her yıl milyonlarca kişiye cilt kanseri tanısı konulmakta ve çok sayıda insan bu hastalıktan dolayı hayatını kaybetmektedir.Cilt hastalıklarında erken tanı önemlidir.Bu nedenle, Cilt hastalıklarının bilgisayar ... -
Görüntülerdeki Gauss Dağılımlı Gürültülerin Derin Sinir Ağı Modelleri ile Giderilmesi
(IEEE, 2022)Mikroskobik görüntülemede çevresel faktörler dolayısıyla elde edilen görüntülerde olu¸san gürültülerin giderilmesi, tıbbi görüntüleme alanında önemli bir ara¸stırma konusu haline gelmi¸stir. Herhangi bir dijital mikroskopi ... -
An LED-Based Structured Illumination Microscope Using A Digital Micromirror Device And GPU Accelerated Image Reconstruction
(PLOS, 2022)When combined with computational approaches, fluorescence imaging becomes one of the most powerful tools in biomedical research. It is possible to achieve resolution figures beyond the diffraction limit, and improve the ... -
Maximizing Coverage and Maintaining Connectivity in WSN and Decentralized Iot: An Efficient Metaheuristic-Based Method for Environment-Aware Node Deployment
(Springer, 2022)The node deployment problem is a non-deterministic polynomial time (NP-hard). This study proposes a new and efficient method to solve this problem without the need for predefined circumstances about the environments ...
RSS 1.0
