Scopus
Permanent URI for this collectionhttps://acikarsiv.thk.edu.tr/handle/123456789/2550
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Publication 2D hybrid meshes for direct simulation Monte Carlo solvers(IOP Publishing, 2013-02-08) N Sengil; U SengilPublication 3-State Protein Secondary Structure Prediction based on SCOPe Classes(FapUNIFESP (SciELO), 2021) Sema Atasever; Nuh Azgınoglu; Hasan Erbay; Zafer AydınPublication A comparative study of spreading of novel corona virus disease by ussing fractional order modified SEIR model(Elsevier BV, 2021-02) Hussam Alrabaiah; Muhammad Arfan; Kamal Shah; Ibrahim Mahariq; Aman UllahPublication A comparison of some control strategies for a non-integer order tuberculosis model(International Journal of Optimization and Control: Theories and Applications, 2019-04-15) Tuğba Akman YıldızThe aim of this paper is to investigate some optimal control strategies for a generalized tuberculosis model consisting of four compartments. We construct the model with the use of Caputo time fractional derivative. Contribution of distancing control, latent case finding control, case holding control and their combinations are discussed and the optimality system is obtained based on the Hamiltonian principle. Additionally, the non-negativity and boundedness of the solution are shown. We present some illustrative examples to determine the most effective strategy to minimize the number of infected people and maximize the number of susceptible individuals. Moreover, we discuss the contribution of the Caputo derivative and the order of the fractional derivative to efficiency of the control strategies.Publication A comprehensive survey on recent metaheuristics for feature selection(Elsevier BV, 2022-07) Tansel Dokeroglu; Ayça Deniz; Hakan Ezgi KizilozPublication A fuzzy logic-based stabilization system for a flying robot, with an embedded energy harvester and a visual decision-making system(Elsevier BV, 2023-09) Abdullatif Baba; Basil Alothman; Baba, AbdullatifPublication A Hybrid Hesitant Fuzzy Model for Healthcare Systems Ranking of European Countries(MDPI AG, 2022-11-16) Ahmet Aktas; Billur Ecer; Mehmet KabakRanking several countries on a specific area may require the consideration of various factors simultaneously. To obtain a ranking of countries, the development of analytical approaches, which can aggregate opinions of a group of people on various criteria, is essential. The main aim of this study was to propose such a ranking approach for European countries in terms of healthcare services. To this end, a hybrid group decision-making model based on Hesitant Fuzzy Linguistic Terms Set (HFLTS) and Hesitant Fuzzy Technique of Order Preference by Similarity to Ideal Solution (HF-TOPSIS) is presented in this study. Importance degree of indicators were determined by the HFLTS-based group decision-making approach, and then HF-TOPSIS was used to obtain the rank of countries. According to the results obtained by the proposed model, Austria, Sweden and Finland are the best European countries in terms of healthcare services. Moreover, two comparative analyses, one for the utilization of different hesitant fuzzy distance measures in HF-TOPSIS and one for the ranking of countries obtained by utilizing TOPSIS, return some variations in country rankings. While Austria remained the best country for all distance measures in the hesitant fuzzy environment, Luxemburg was found to be the best for the deterministic case of TOPSIS.Publication A mathematical model on liquefied natural gas supply chain with uncertain demand(Springer Science and Business Media LLC, 2020-08-11) Durdu Hakan Utku; Betül Soyöz; Utku, Durdu HakanPublication A Modified Gravity Theory: Null Aether(IOP Publishing, 2019-03) Metin Gürses; Çetin Şentürk; Şentürk, ÇetinPublication A Monte Carlo-based Poisson's equation solver parallelized with Coarray Fortran(The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS, 2016) Nevsan ŞENGİL; Özgür TÜMÜKLÜ; Mehmet Cevdet ÇELENLİGİL; Şengil, NevsanPublication A new design of a flying robot, with advanced computer vision techniques to perform self-maintenance of smart grids(Elsevier BV, 2022-05) Abdullatif Baba; Baba, AbdullatifPublication A new triphenylphosphonium-conjugated amphipathic cationic peptide with improved cell-penetrating and ROS-targeting properties(Elsevier BV, 2023) Rezeda A. Ishkaeva; Diana V. Salakhieva; Ruslan Garifullin; Raghad Alshadidi; Alexander V. Laikov; Abdulla A. Yergeshov; Marat I. Kamalov; Timur I. AbdullinPublication A Novel Evolutionary Algorithm for Data Classification Problem With Extreme Learning Machines(Institute of Electrical and Electronics Engineers (IEEE), 2019) Ender SevincPublication A novel hybrid teaching-learning-based optimization algorithm for the classification of data by using extreme learning machines(The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS, 2019-03-22) ENDER SEVİNÇ; TANSEL DÖKEROĞLUData classification is the process of organizing data by relevant categories. In this way, the data can be understood and used more efficiently by scientists. Numerous studies have been proposed in the literature for the problem of data classification. However, with recently introduced metaheuristics, it has continued to be riveting to revisit this classical problem and investigate the efficiency of new techniques. Teaching-learning-based optimization (TLBO) is a recent metaheuristic that has been reported to be very effective for combinatorial optimization problems. In this study, we propose a novel hybrid TLBO algorithm with extreme learning machines (ELM) for the solution of data classification problems. The proposed algorithm (TLBO-ELM) is tested on a set of UCI benchmark datasets. The performance of TLBO-ELM is observed to be competitive for both binary and multiclass data classification problems compared with state-of-the-art algorithms.Publication A Novel Semantic Content-Based Retrieval System for Hyperspectral Remote Sensing Imagery(MDPI AG, 2024-04-20) Fatih Ömrüuzun; Yasemin Yardımcı Çetin; Uğur Murat Leloğlu; Begüm Demir; Leloğlu, Uğur MuratWith the growing use of hyperspectral remote sensing payloads, there has been a significant increase in the number of hyperspectral remote sensing image archives, leading to a massive amount of collected data. This highlights the need for an efficient content-based hyperspectral image retrieval (CBHIR) system to manage and enable better use of hyperspectral remote-sensing image archives. Conventional CBHIR systems characterize each image by a set of endmembers and then perform image retrieval based on pairwise distance measures. Such an approach significantly increases the computational complexity of the retrieval, mainly when the diversity of materials is high. Those systems also have difficulties in retrieving images containing particular materials with extremely low abundance compared to other materials, which leads to describing image content with inappropriate and/or insufficient spectral features. In this article, a novel CBHIR system to define global hyperspectral image representations based on a semantic approach to differentiate foreground and background image content for different retrieval scenarios is introduced to address these issues. The experiments conducted on a new benchmark archive of multi-label hyperspectral images, which is first introduced in this study, validate the retrieval accuracy and effectiveness of the proposed system. Comparative performance analysis with the state-of-the-art CBHIR systems demonstrates that modeling hyperspectral image content with foreground and background vocabularies has a positive effect on retrieval performance.Publication A rule based decision support system for programming language selection(IEEE, 2017-10) Meltem Yildirim Imamoglu; Deniz Cetinkaya; İmamoğlu, Meltem YıldirımPublication A Sturm-Liouville approach for continuous and discrete Mittag-Leffler kernel fractional operators(American Institute of Mathematical Sciences (AIMS), 2021) Raziye Mert; Thabet Abdeljawad; Allan PetersonPublication A trapezoidal intuitionistic fuzzy optimization approach for crashing a budget constrained project(Elsevier BV, 2024-04) Fatih Kasimoglu; Selami Bayeg; Adem Pinar; Durdu Hakan Utku; Utku, Durdu Hakan; Utku, Durdu HakanPublication Absorption enhancement of molecules in the weak plasmon–exciton coupling regime(The Optical Society, 2014-08-18) Sinan Balci; Ertugrul Karademir; Coskun Kocabas; Atilla AydinliPublication AdS-plane wave andpp-wave solutions of generic gravity theories(American Physical Society (APS), 2014-12-02) Metin Gürses; Tahsin Çağrı Şişman; Bayram Tekin