Yazar "FSM Vakıf Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" için WOS İndeksli Yayınlar / WOS Indexed Publications listeleme
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Integer Programming Versus Constraint Programming: a Course Timetabling Case Study
Gülcü, Ayla; Bulkan, Serol (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
Fathee, Hala; Sahmoud, Shaaban (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
Tuna, Süha; Töreyin, Behçet Uğur; Demiralp, Metin; Ren, Jinchang; Zhao, Huimin; Marshall, Stephen (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 ... -
Kenar Bilişim Güvenlik Uygulaması: Kılıç
Güven, Ebu Yusuf; Çamurcu, Ali Yılmaz (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
Korkmaz, Yusuf (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
Aydın, Musa; Uysallı, Yiğit; Özgönül, Ekin; Morova, Berna; Tiryaki, Fatmanur; Karalar, Elif Nur Fırat; Doğan, Buket; Kiraz, Alper (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
Aydın, Musa; Uysallı, Yiğit; Özgönül, Ekin; Morova, Berna; Kiraz, Alper (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
Heydarov, Saddam; Aydın, Musa; Faydacı, Çağrı; Suha, Tuna; Öztürk, Sadullah (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
Bayazıt, Esra Çalık; Şahingöz, Özgür Koray; Doğan, Buket (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
Nematzadeh, Sajjad; Torkamanian-Afshar, Mahsa; Seyyedabbasi, Amir; Kiani, Farzad (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
Sahmoud, Shaaban; Topçuoğlu, Haluk Rahmi (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 ... -
Minimum Penalty Perturbation Heuristics for Curriculum-Based Timetables Subject to Multiple Disruptions
Akkan, Can; Gülcü, Ayla; Kuş, Zeki (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 ... -
MS-TR: A Morphologically Enriched Sentiment Treebank and Recursive Deep Models for Compositional Semantics in Turkish
Zeybek, Sultan; Koç, Ebubekir; Seçer, Aydın (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
Gülcü, Ayla; Kuş, Zeki (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 ... -
A New Model for The Multi-Objective Multiple Allocation Hub Network Design and Routing Problem
Demir, İbrahim; Ergin Corut, Fatma; Kiraz, Berna (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 Novel Actual Time Cyber Security Approach to Smart Grids
Büyük, Oğuzhan Oktay; Çamurcu, Ali Yılmaz (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
Büyük, Oğuzhan Oktay; Bilgin, Sevgi Nur (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
Kiraz, Berna; Bidgoli, Azam Asilian; Ebrahimpour-Komleh, Hossein; Rahnamayan, Shahryar (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
Kiani, Farzad; Saraç, Ömer Faruk (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
Arasteh, Bahman; Gharehchopogh, Farhad Soleimanian; Güneş, Peri; Kiani, Farzad; Torkamanian‑Afshar, Mahsa (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 ...