Güncel Gönderiler: Bilgisayar Mühendisliği Bölümü
Toplam kayıt 214, listelenen: 101-120
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Neural Network Based Android Malware Detection with Different IP Coding Methods
(IEEE, 2021)Due to the COVID-19 epidemic that has affected the whole world, internet use has increased more than in previous years. Almost all operations and transactions are done over the internet, especially with the use of ... -
Az Örnekli Öğrenme ile Mikroskobik Görüntülerden Maya Hücresi Segmentasyonu
(IEEE, 2021)Mikroskobik görüntülerden otomatik hücre segmentasyonu, derin sinir ağları veya görüntü işleme teknikleri kullanılarak yapılabilmektedir. Bu tekniklerin ayrı ayrı problemleri ve zorlukları bulunmakla birlikte özellikle ... -
Derin Sinir Ağları Kullanarak Medikal Görüntü Bölütleme
(IEEE, 2021)Medikal görüntülerin otomatik bölütlenmesi, bu görüntüler kullanılarak çeşitli hastalıkların teşhis edilmesinde önemli bir rol oynamaktadır. Görüntü bölütleme, bir çok medikal görüntüye ayrı ayrı uygulanarak farklı ... -
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification
(MDPI, 2021)Recurrent neural networks (RNNs) are powerful tools for learning information from temporal sequences. Designing an optimum deep RNN is difficult due to configuration and training issues, such as vanishing and exploding ... -
Experimental Evaluation of Meta-Heuristics for Multi-Objective Capacitated Multiple Allocation Hub Location Problem
(Elsevier, 2022)Multi-objective capacitated multiple allocation hub location problem (MOCMAHLP) is a variation of classic hub location problem, which deals with network design, considering both the number and the location of the hubs ... -
Bi-Criteria Simulated Annealing Algorithms for the Robust University Course Timetabling Problem
(PATAT, 2018)A bi-criteria version of the curriculum-based university timetabling problem of ITC-2007 is solved using a multi-objective simulated annealing (MOSA) algorithm that identifies an approximation to the optimal Pareto front. ... -
Search Space Sampling by Simulated Annealing for Identifying Robust Solutions in Course Timetabling
(Institute of Electrical and Electronics Engineers Inc., 2020)For many combinatorial optimization problems, it is important to identify solutions that can be repaired without degrading solution quality in case changes in the data associated with the constraints make the initial ... -
A Bi-criteria Hybrid Genetic Algorithm with Robustness Objective for the Course Timetabling Problem
(Patat, 2016)Traditional methods of generating timetables may not yield robust solutions that may easily be adapted to changing inputs. Incorporating late changes by making minimum modifications is an important need in many ... -
Controlling of Five Axis Manipulator with Turkish Voice Commands Using Microcontrollers
(Marmara Üniversitesi, 2018)The interaction between human beings and machines has been increasing in conjunction with the development of computer technology. Controlling a system with voice-based commands is one of the most popular applications in ... -
Sinüzoidal Aydınlatma Desenleri Kullanılarak Frekans Uzayında Görüntü Yeniden Yapılandırma
(IEEE, 2021)Yapılandırılmış Aydınlatma Desenleri (Structured Illumination Patterns) mikroskobik görüntülemede, kırımın limitinin (diffraction limit) aşılarak süper çözünürlüklü görüntünün elde edilmesini sağlamak için kullanılan ... -
Minimum Penalty Perturbation Heuristics for Curriculum-Based Timetables Subject to Multiple Disruptions
(Elsevier, 2021)Course timetables are often rendered infeasible due to unexpected changes in requirements and must be repaired. Given an initial timetable, planners prefer a repaired timetable whose quality is worsened as little as possible ... -
Konvolüsyonel Sinir Ağlarında Hiper-Parametre Optimizasyonu Yöntemlerinin İncelenmesi
(Gazi Üniversitesi, 2019)Konvolüsyonel Sinir Ağları (KSA), katmanlarının en az bir tanesinde matris çarpımı yerine konvolüsyon işleminin kullanıldığı çok katmanlı yapay sinir ağlarının bir türüdür. Özellikle bilgisayarlı görü çalışmalarında çok ... -
Design of Decision Support System in the Metastatic Colorectal Cancer Data Set and Its Application
(Bajece, 2016)Developing the system which will help doctors with the result to be obtained from the medical data sets by realizing the design of the medical decision support system in which data mining methods are used is the primary ... -
Dinamik Çok Amaçlı Eniyileme Problemleri için Hibrid Çerçevenin İncelenmesi
(Gazi Üniversitesi, 2018)Çok amaçlı evrimsel algoritmalar ve sezgisel seçen üst-sezgiseller ortamda meydana gelebilecek farklı dinamizm tiplerini ele alan adaptif yöntemlerdir. Bu çalışmada, bu yöntemlerin birleştirildiği yapı, dinamik çok amaçlı ... -
Bazı Tahribatsız Test Yöntemleri: Karşılaştırmalı Bir Derleme Çalışması
(Marmara Üniversitesi, 2017)Bu çalışmada, materyallerin kusur analizini gerçekleştirerek güvenli materyal kullanımı sağlayan tahribatsız test yöntemleri incelenmektedir. Tahribatsız test işleminde kullanılacak yöntemin, çalışma şartları açısından ... -
An Object Detection and Identification System for a Mobile Robot Control
(Balkan Yayın, 2017)The one of the features of mobile robot control is to detect and to identify objects in workspace. Especially, autonomous systems must detect obstacles and then revise actual trajectories according to new conditions. Hence, ... -
MS-TR: A Morphologically Enriched Sentiment Treebank and Recursive Deep Models for Compositional Semantics in Turkish
(Taylor & Francis, 2021)Recursive Deep Models have been used as powerful models to learn compositional representations of text for many natural language processing tasks. However, they require structured input (i.e. sentiment treebank) to encode ... -
UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture
(IEEE, 2014)In recent years, Unmanned Aerial Vehicles (UAVs) have been emerged as an attractive technology for different types of military and civil applications, which have gained importance in academic researches. In these ... -
Multi-Scale Hierarchical Topology Optimization for Nanophotonic Design
(Optics InfoBase Conference Papers, 2020)We develop a multi-scale method to rapidly design efficient and fabricationcompatible nanophotonic devices, and demonstrate it by designing a mode multiplexer with 98.1% efficiency in 104 iterations under 50 seconds using ... -
Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem
(IEEE, 2020)In this paper, we propose an enhanced feature selection algorithm able to cope with feature drift problem that may occur in data streams, where the set of relevant features change over time. We utilize a dynamic ...
