Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 171, listelenen: 110-129
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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 ... -
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 ... -
A Novel Metaheuristic Based Method for Software Mutation Test Using the Discretized and Modified Forrest Optimization Algorithm
(Springer Lınk, 2023)The number of detected bugs by software test data determines the efficacy of the test data. One of the most important topics in software engineering is software mutation testing, which is used to evaluate the efficiency ... -
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 ...
