Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 171, listelenen: 103-122
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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 ... -
Kullanıcı Giriş Sistemlerinde Yapay Sinir Ağları Kullanılarak Şifre Güvenlik Sisteminin Geliştirilmesi
(Institute of Electrical and Electronics Engineers (IEEE), 2016)Gelişen teknolojiyle birlikte sanal dünya bizlere gerekli olan tüm hizmeti sunabilmek adına her geçen gün bir adım daha ileri gitmektedir. Bize sunulan hizmetlerle doğru orantılı olarak sosyal medyadaki varlığımız da ... -
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 ... -
An LED-Based Super Resolution GPU Implemented Structured Illumination Microscope
(SPIEDigital Library, 2020)Fluorescence imaging of sub-cellular structures with sizes below the di raction limit is vital in understanding cellular processes. Relying on exciting the sample with di erent illumination patterns and image processing ... -
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 ... -
Malware Detection in Android Systems with Traditional Machine Learning Models: A Survey
(IEEE, 2020)Due to the increased number of mobile devices, they are integrated in every dimension of our daily life. To execute some sophisticated programs, a capable operating must be set up on them. Undoubtedly, Android is 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 ... -
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 ... -
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 ... -
The Microgrid Systems: An Overview in Turkey and The World
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Necessity and important of electric energy has been on increase because of development in technology and economy. When compared with renewable energy sources, electric energy obtained from fossil fuels has the biggest share. ... -
Mikro Ağlar: Genelleştirme ve Koruma Üzerine Çalışmalar
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Bu çalışmada akıllı ağların en önemli güç katmanı uygulamaları olan dağıtık üretim ve mikro ağlar, uygulama kolaylığı sağlaması amacıyla genelleştirilmeye çalışılmıştır. Öncelikle genelleştirilmiş dağıtık üreteç modeli ... -
Mikroşebekelerde Kontrol Yöntemlerinin Bir Uygulaması
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014)Akıllı Şebeke kavramı kapsamında yapılan çalışmalarda şebekenin daha verimli, güvenilir ve çevre dostu bir yapıya getirilmesini sağlayacak yaklaşımlar geliştirilmektedir. Günümüz elektrik şebekelerine yenilenebilir ... -
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 ... -
Modüler Akıllı Elektrik Sayacı
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Bu bildiri; Akıllı şebekeler kavramı ile birlikte yaygınlaşan enerji yönetimi kavramının bütünleşik bir şekilde çözümü için bir öneri sunmaktadır. Yaygınlıkla bilinenin aksine Akıllı Şebekeler sadece elektrik enerjisi ... -
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 ... -
Multi-Objective Simulated Annealing for Hyper-Parameter Optimization in Convolutional Neural Networks
(PeerJ, Inc., 2021)In this study, we model a CNN hyper-parameter optimization problem as a bi-criteria optimization problem, where the first objective being the classification accuracy and the second objective being the computational ... -
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 ... -
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 ... -
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 ... -
A New Model for The Multi-Objective Multiple Allocation Hub Network Design and Routing Problem
(The Institute of Electrical and Electronics Engineers, 2019)In this paper, we propose a new model for the multi-objective multiple allocation hub network design and routing problem which contains determining the location of hubs, the design of hub network, and the routing of ...
