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Browsing Bilgisayar Mühendisliği Bölümü Makale Koleksiyonu by Title 
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Browsing Bilgisayar Mühendisliği Bölümü Makale Koleksiyonu by Title

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    • A Goal-Driven Evaluation Method Based on Process Mining for Healthcare Processes 

      Erdogan, Tugba Gurgen; Tarhan, Ayca (Mdpi, 2018)
      As a business processes management technique, process mining (PM) has been applied in many domains in the last decade. In healthcare, where most processes are complex, variable, dynamic, and multi-disciplinary in nature, ...
    • A New Approach in Bloggers Classification with Hybrid of K-Nearest Neighbor and Artificial Neural Network Algorithms 

      Gharehchopogh, F.S; Khaze, S.R; Maleki, I. (2015)
    • A Two-Dimensional Method For Evaluating Maintainability And Reliability Of Open Source Software 

      Yilmaz, Nebi; Tarhan, Ayca (2019)
      Increased popularity of open source software (OSS) has led to a considerable proliferation of alternative software. However, there is a lack of studies in literature that shed light into the evaluation of OSS by organizations. ...
    • A Weighted Rule Based Method for Predicting Malignancy of Pulmonary Nodules By Nodule Characteristics 

      Kaya, Aydın; Can, Ahmet Burak (Academic Press Inc Elsevier Science, 2015)
      Predicting malignancy of solitary pulmonary nodules from computer tomography scans is a difficult and important problem in the diagnosis of lung cancer. This paper investigates the contribution of nodule characteristics ...
    • Anti-Ramsey Number of Matchings in Hypergraphs 

      Özkahya, Lale; Young, Michael (Elsevier Science Bv, 2013)
      A k-matching in a hypergraph is a set of k edges such that no two of these edges intersect. The anti-Ramsey number of a k-matching in a complete s-uniform hypergraph H on n vertices, denoted by ar(n, s, k), is the smallest ...
    • Assessing Risks And Threats With Layered Approach To Internet Of Things Security 

      Aydos, Murat; Vural, Yilmaz; Tekerek, Adem (2019)
      Internet of Things is the next-generation Internet network created by intelligent objects with software and sensors, employed in a wide range of fields such as automotive, construction, health, textile, education and ...
    • Assessment of Fractal Dimension and Geometrical Characteristics of the Landslides Identified in North of Tehran, Iran 

      Pourghasemi, H. R.; Moradi, H. R.; Aghda, S. M. Fatemi; Sezer, E. A.; Jirandeh, A. Goli; Pradhan, B. (Springer, 2014)
      The aim of the presented study is to assess the fractal dimension (D) and the geometrical characteristics (length and width) of the landslides identified in North of Tehran, Iran. At first, the landslide locations (528 ...
    • Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures 

      Bernardi, Raffaella; Cakıcı, Ruket; Elliott, Desmond; Erdem, Aykut; Erdem, Erkut; Ikizler-Cinbis, Nazli; Keller, Frank; Muscat, Adrian; Plank, Barbara (Ai Access Foundation, 2016)
      Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we ...
    • B-Mode Echotexture Analysis and Color Doppler Sonography in Canine Mammary Tumors 

      Mulazimoglu, Serkan Baris; Beceriklisoy, Hakki Bulent; Schafer-Somi, Sabine; Kaya, Mahir; Bumin, Ali; Ozenc, Erhan; Gultiken, Nilgun; Kanca, Halit; Gunen, Munevver Ziynet; Kutsal, Osman; Emre, Birten; Evangelos, Kiossis; Aslan, Selim (Kafkas Univ, Veteriner Fakultesi Dergisi, 2016)
      Forty-one mammary gland tumors from twenty eight bitches were used for the study. Ultrasonographic examinations of tumor masses were performed before surgical excision and a quadratic region-of-interest (ROI) was chosen ...
    • Classifying Fonts And Calligraphy Styles Using Complex Wavelet Transform 

      Bozkurt, Alican; Duygulu, Pinar; Cetin, A. Enis (Springer London Ltd, 2015)
      Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases. A generic font recognition system independent of language, ...
    • Complexity, Size And Internal Quality In The Evolution Of Mobile Applications: An Exploratory Study 

      Gezici, Bahar; Tarhan, Ayca; Chouseinoglou, Oumout (2019)
      Mobile applications are becoming complex software systems as they rapidly evolve and grow constantly to meet user requirements. However, satisfying these requirements may lead to poor design choices known as `antipatterns' ...
    • Computerized Ionospheric Tomography With The Iri Model 

      Arikan, Orhan; Ankan, Feza; Erol, Cemil B. (Elsevier Sci Ltd, 2007)
      Computerized ionospheric tomography (CIT) is a method to estimate ionospheric electron density distribution by using the global positioning system (GPS) signals recorded by the GPS receivers. Ionospheric electron density ...
    • Consistency-Based Trust Management In P2P Networks 

      Şahíin, Y; Can, A.B. (2018)
    • Correlation Of Critical Success Factors With Success Of Software Projects: An Empirical Investigation 

      Garousi, Vahid; Tarhan, Ayca; Pfahl, Dietmar; Coskuncay, Ahmet; Demirors, Onur (2019)
      Software engineering researchers have, over the years, proposed different critical success factors (CSFs) which are believed to be critically correlated with the success of software projects. To conduct an empirical ...
    • Cross-Layer Energy Minimization For Underwater Aloha Networks 

      Koseoglu, Mehmet; Karasan, Ezhan; Chen, Lin (Ieee-Inst Electrical Electronics Engineers Inc, 2017)
      Underwater networks suffer from energy efficiency challenges due to difficulties in recharging underwater nodes. In addition, underwater acoustic networks show unique transmission characteristics such as frequency-dependent ...
    • Discovery Of Tandem And Interspersed Segmental Duplications Using High-Throughput Sequencing 

      Soylev, Arda; Le, Thong Minh; Amini, Hajar; Alkan, Can; Hormozdiari, Fereydoun (2019)
      Motivation: Several algorithms have been developed that use high-throughput sequencing technology to characterize structural variations (SVs). Most of the existing approaches focus on detecting relatively simple types of ...
    • Ensemble Of Multiple Instance Classifiers For Image Re-Ranking 

      Sener, Fadime; Ikizler-Cinbis, Nazli (Elsevier, 2014)
      Text-based image retrieval may perform poorly due to the irrelevant and/or incomplete text surrounding the images in the web pages. In such situations, visual content of the images can be leveraged to improve the image ...
    • Evolutionary Multiobjective Query Workload Optimization Of Cloud Data Warehouses 

      Dokeroglu, Tansel; Sert, Seyyit Alper; Cinar, Muhammet Serkan (2014)
      With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost. Our novel approach minimizes both objectives by deploying alternative virtual resources ...
    • Examination Of Various Classification Strategies In Classification Of Lung Nodule Characteristics 

      Kaya, Aydin; Keceli, Ali Seydi; Can, Ahmet Burak (2019)
      Nodule characteristics used in the evaluation of lung nodules are generally subjective assessments of the expert opinions. Among these characteristics, the most known and used one for prediction is the degree of malignancy. ...
    • Extending A Sentiment Lexicon With Synonym-Antonym Datasets: Swnettr Plus 

      Saglam, Fatih; Genc, Burkay; Sever, Hayri (2019)
      In our previous studies on developing a general-purpose Turkish sentiment lexicon, we constructed SWNetTR-PLUS, a sentiment lexicon of 37K words. In this paper, we show how to use Turkish synonym and antonym word pairs to ...
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