Erişim şekli için "info:eu-repo/semantics/embargoedAccess" Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 75, listelenen: 41-60
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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 ... -
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 ... -
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 ... -
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 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 ... -
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 ... -
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 ... -
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 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 ... -
A Novel Actual Time Cyber Security Approach to Smart Grids
(Institute of Electrical and Electronics Engineers (IEEE), 2018)The purpose of this paper was to develop a novel actual time cyber security approach to smart grids. The developed way securely backed the smart meters among smart grids against external attacks in a distribution ... -
A Novel Application to Increase Energy Efficiency Using Artificial Neural Networks
(IEEE, 2016)In this paper, a novel system application to recover electricity losses using an unsupervised learning, self-learning mapping mechanism is introduced. Actually, energy and its transmission are becoming a vital issue for ... -
A Novel Collective Crossover Operator for Genetic Algorithms
(Institute of Electrical and Electronics Engineers (IEEE), 2020)Crossover is the main genetic operator which influences the power of evolutionary algorithms. Among a variety of crossover operators, there has been a growing interest in multi-parent crossover operators in evolutionary ... -
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 ...