Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 171, listelenen: 92-111
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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 ... -
An Improved Clustering Algorithm for Text Mining: Multi-Cluster Spherical K-Means
(Zarqa University, 2016)Thanks to advances in information and communication technologies, there is a prominent increase in the amount of information produced specifically in the form of text documents. In order to, effectively deal with this ... -
An Improved Vantage Point Bees Algorithm to Solve Combinatorial Optimization Problems from TSPLIB
(Wiley, 2021)This paper presents an improved version of the Vantage Point Bees Algorithm (VPBA-II), which is implemented to solve the Travelling Salesman Problem. The Vantage Point Tree has been used to produce initial tour solutions ... -
Integer Programming Versus Constraint Programming: a Course Timetabling Case Study
(University of Cincinnati Industrial Engineering, 2019)In this study, two solution approaches are compared for a real-world, moderate-size but a highly constrained university course timetabling problem. The first approach is developing an integer programming model and solving ... -
Integrated Smart Grid Strategy
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Utilities are re-inventing themselves to meet current regulations and to keep up with technological advancements. Strategies and business models must be aligned to provide sustainable business value. In order to manage the ... -
Iris Segmentation in Uncooperative and Unconstrained Environments: State-of-the-art, Datasets and Future Research Directions
(Elsevier, 2021)Most of the classical iris recognition systems require cooperation from users and assume ideal conditions during iris image acquisition. In uncooperative and unconstrained environments, the performance of these classical ... -
Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images
(IEEE, November 2)Effective compression of hyperspectral (HS) images is essential due to their large data volume. Since these images are high dimensional, processing them is also another challenging issue. In this work, an efficient lossy ... -
İnsansız Hava Araçları için Srtm Verisi Kullanılarak Uygun İniş Alanının Tespit Edilmesi
(IEEE, 2016)Bu çalışmada, İnsansız Hava Araçları (İHA) için, görev icrası esnasında acil iniş gerektiren durumlarda, uygun iniş bölgesinin belirlenmesi amaçlanmıştır. Bu amaç doğrultusunda da SRTM (Shuttle Radar Topography Mission) ... -
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 ... -
Kenar Bilişim Güvenlik Uygulaması: Kılıç
(Institute of Electrical and Electronics Engineers (IEEE), 2018)Akıllı sistemler bilinen nesneleri değiştirdiği gibi, yaygın teknolojileri de hızla değiştirmektedir. Bulut Bilişimle yapılan nesnelerin interneti uygulamaları band genişliği ve ağ gecikmeleri nedeniyle yeterli servis ... -
Kent Parkları ve Organize Sanayi Bölgeleri Örneklerinde Dış Aydınlatmalar İçin Akıllı Kontrol Sistemleri ve Enerji Tasarrufu Uygulamaları
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Kamu aydınlatması enerji kullanımının büyük bir bölümünü oluşturduğu için akıllı aydınlatma kontrol sistemleri, kent parkları ve organize sanayi bölgelerinde akıllı şehre ulaşmanın ve enerji tasarrufu elde etmenin en önemli ... -
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 ...
