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Classification of Linked Data Sources Using Semantic Scoring
(2018)
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 ...
Effective 3D Surface Modeling for Geographic Information Systems
(Copernicus Gesellschaft Mbh, 2016)
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 ...
Tagging accuracy analysis on part-of-speech taggers
(2014)
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 ...
SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines
(2017)
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 ...
Some Indices over a New Algebraic Graph
(2021)
In this paper, we first introduce a new graph over an extension of semigroups and after that we study and characterize the spectral properties such as the diameter, girth, maximum and minimum degrees, domination number, ...
On Classification of Semigroup N by Green’s Theorem
(2022)
In previous papers, it has been recently defined a new class of semigroups based on both Rees matrix and completely 0-simple semigroups. For this new structure, it has been introduced with certain basic properties and ...
A Machine Learning Framework to Identify the Causes of HbA1c in Patients With Type 2 Diabetes Mellitus
(CEAI, 2019-06)
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 ...
A Study of Sound Transmission Loss for Building Materials Using Simulative and Experimental Approaches
(Gazi Universitesi Muhendislik-Mimarlik, 2016)
The sound insulation models that we use in this study are based on theoretical computations and their aim is to reduce time, labor and cost consumption during the calculation of “Sound Transmission Loss (R)” of a particular ...
Diagnosis of Coronary Artery Disease Using Deep Belief Networks
(2016-05)
In this study, a decision-support system is presented to aid cardiologists during
the diagnosis and to create a base for a new diagnosis system which separates
two classes (CAD and no-CAD patients) using an electrocardiogram ...
A Multistage Deep Belief Networks Application on Arrhythmia Classification
(2016-09-03)
An electrocardiogram (ECG) is a biomedical signal type that determines the normality and abnormality of heart beats using the electrical activity of the heart and has a great importance for cardiac disorders. The computer-aided ...