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İptal
Bulunan: 15 Adet 0.002 sn
- Eklemek veya çıkarmak istediğiniz kriterleriniz için 'Dahil' / 'Hariç' seçeneğini kullanabilirsiniz. Sorgu satırları birbirine 'VE' bağlacı ile bağlıdır.
- İptal tuşuna basarak normal aramaya dönebilirsiniz.
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Filtreler
Bulunan: 15 Adet 0.002 sn
Atıf Dizini : Scopus ✕Koleksiyon : Bilgisayar Mühendisl ... ✕
Koleksiyon [3]
İlgili Araştırmacılar [7]
Ambargo Durumu [1]
Tam Metin [1]
Yayın Türü [1]
Yazar/lar [22]
Atıf Dizini [2]
Konu Başlıkları [27]
Yayıncı [7]
Tez Danışmanı [1]
Yayın Tarihi [8]
Yayın Dili [2]
Erişime Açık

Word problem for special braid groups

GÜZEL KARPUZ, Eylem | URLU ÖZALAN, Nurten

In this paper, the main idea is to present the solvability of the word problem of pure virtual braid groups by using Gröbner-Shirshov basis theory. © 2019, © 2019 NISC (Pty) Ltd.

Makale 2019 Taylor and Francis Ltd. 3 Görüntülenme
Erişime Açık

Gröbner-Shirshov bases for congruence classes of complex reflection groups

ÖZALAN, Nurten Urlu | WAZZAN, Suha Ahmad | GÜZEL KARPUZ, Eylem

The aim of this paper is to obtain the solvability of the word problem over congruence classes of complex reflection groups G24 and G7. To do that, we use Gröbner-Shirshov basis theory and get the normal form structure of elements of these group types. © 2019 World Scientific Publishing Company.

Makale 2019 World Scientific Publishing Co. Pte Ltd 1 Görüntülenme
Erişime Açık

Classification of Linked Data Sources Using Semantic Scoring

YUMUŞAK, Semih | DOĞDU, Erdoğan | KODAZ, Halife

Linked data sets are created using semantic Web technologies and they are usually big and the number of such datasets is growing. The query execution is therefore costly, and knowing the content of data in such datasets should help in targeted querying. Our aim in this paper is to classify linked data sets by their knowledge content. Earlier projects such as LOD Cloud, LODStats, and SPARQLES analyze linked data sources in terms of content, availability and infrastructure. In these projects, linked data sets are classified and tagged principally using VoID vocabulary and analyzed according to t ...Daha fazlası

Makale 2018 5 Görüntülenme
Erişime Açık

Effective 3D Surface Modeling for Geographic Information Systems

MENDİ, Engin | ALPARSLAN, Mesut | YÜKSEK, Kemal

Abstract. In this work, we propose a dynamic, flexible and interactive urban digital terrain platform with spatial data and query processing capabilities of geographic information systems, multimedia database functionality and graphical modeling infrastructure. A new data element, called Geo-Node, which stores image, spatial data and 3-D CAD objects is developed using an efficient data structure. The system effectively handles data transfer of Geo-Nodes between main memory and secondary storage with an optimized directional replacement policy (DRP) based buffer management scheme. Polyhedron st ...Daha fazlası

Makale 2016 Copernicus Gesellschaft Mbh 5 Görüntülenme
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Tagging accuracy analysis on part-of-speech taggers

YUMUŞAK, Semih | DOĞDU, Erdoğan | KODAZ, Halife

Part of Speech (POS) Tagging can be applied by several tools and several programming languages. This work focuses on the Natural Language Toolkit (NLTK) library in the Python environment and the gold standard corpora installable. The corpora and tagging methods are analyzed and compared by using the Python language. Different taggers are analyzed according to their tagging accuracies with data from three different corpora. In this study, we have analyzed Brown, Penn Treebank and NPS Chat corpuses. The taggers we have used for the analysis are; default tagger, regex tagger, n-gram taggers. We h ...Daha fazlası

Makale 2014 2 Görüntülenme
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Hierarchical representation of video sequences for annotation

MENDİ, Engin

Video annotation is an important issue in video content management systems. Rapid growth of the digital video data has created a need for efficient and reasonable mechanisms that can ease the annotation process. In this paper, we propose a novel hierarchical clustering based system for video annotation. The proposed system generates a top-down hierarchy of the video streams using hierarchical k-means clustering. A tree-based structure is produced by dividing the video recursively into sub-groups, each of which consists of similar content. Based on the visual features, each node of the tree is ...Daha fazlası

Makale 2014 Elsevier Ltd 3 Görüntülenme
Erişime Açık

SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines

YUMUŞAK, Semih | DOĞDU, Erdoğan | KODAZ, Halife | KAMILARIS, Andreas | VANDENBUSSCHE, Pierre-Yves

Linked data endpoints are online query gateways to semantically annotated linked data sources. In order to query these data sources, SPARQL query language is used as a standard. Although a linked data endpoint (i.e. SPARQL endpoint) is a basic Web service, it provides a platform for federated online querying and data linking methods. For linked data consumers, SPARQL endpoint availability and discovery are crucial for live querying and semantic information retrieval. Current studies show that availability of linked datasets is very low, while the locations of linked data endpoints change frequ ...Daha fazlası

Makale 2017 2 Görüntülenme
Erişime Açık

Image Quality Assessment Metrics Combining Structural Similarity and Image Fidelity with Visual Attention

MENDİ, Engin

Image quality assessment has a great importance in several image processing applications. Recently, various objective image quality metrics have been proposed in order to predict human visual perception. In this paper, novel image quality metrics, S-SSIM (saliency-based structural similarity index) and S-VIF (saliency-based visual information fidelity), are proposed based on a visual attention model extracting frequency-tuned salient region. Saliency maps are produced from the color and luminance features of the image. SSIM and VIF in pixel domain are modified by the weighting factors of the s ...Daha fazlası

Makale 2015 1 Görüntülenme
Erişime Açık

Power Aware Routing Protocols in Wireless Sensor Network

ALSULTAN, Mohammed | ÖZTOPRAK, Kasım | HASSANPOUR, Reza

Wireless Sensor Networks (WSNs) have gained importance with a rapid growth in their applications during the past decades. There has also been a rise in the need for energy-efficient and scalable routing along with the data aggregation protocols for the large scale deployments of sensor networks. The traditional routing algorithms suffer from drawbacks such as the presence of one hop long distance data transmissions, very large or very small clusters within a network at the same moment, over-accumulated energy consumption within the cluster-heads (CHs) etc. The lifetime of WSNs is also decrease ...Daha fazlası

Makale 2016 IEICE Transactions on Communications 1 Görüntülenme
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A New Approach to Early Diagnosis of Congestive Heart Failure Disease by Using Hilbert-Huang Transform

ALLAHVERDİ, Novruz | KUTLU, Yakup | ALTAN, Gökhan

Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted as the most important cause of CHF. This study focuses on the diagnosis of both the CHF and the CAD. The Hilbert-Huang transform (HHT), which is effective on non-linear and non-stationary signals, is used to extract the features from R-R intervals obtained from the raw electrocardiogram ddata. The statistical features are extracted from instinct mode functions that are obtained applying ...Daha fazlası

Makale 2016 4 Görüntülenme
Erişime Açık

A New Semigroup Obtained Via Known Ones

URLU ÖZALAN, Nurten | ÇEVİK, Ahmet Sinan | GÜZEL KARPUZ, Eylem

The goal of this paper is to establish a new class of semigroups based on both Rees matrix and completely 0-simple semigroups. We further present some fundamental properties and finiteness conditions for this new semigroup structure. © 2019 World Scientific Publishing Company.

Makale 2019 World Scientific Publishing Co. Pte Ltd 5 Görüntülenme
Erişime Açık

A Machine Learning Framework to Identify the Causes of HbA1c in Patients With Type 2 Diabetes Mellitus

ALLAHVERDİ, Novruz | ALTUN, Alpaslan | TAGHIYEV, Anar

In this study, the effects of blood glucose levels on hemoglobin A1c (HbA1c) were investigated. For this reason, а classification model was developed by carrying out a logistic regression analysis based on machine learning and data mining methods. The purpose of using logistic regression analysis in this study was to establish a method of creating a statistical model that is most suitable and reasonable for determining the relationship between dependent and independent variables. This model shows how effective the factors that cause an increase in the HbA1c level. It can be planned to verify t ...Daha fazlası

Makale 2019 CEAI 10 Görüntülenme
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