Now showing items 1-9 of 9
A Machine Learning Framework to Identify the Causes of HbA1c in Patients With Type 2 Diabetes Mellitus
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 ...
SpEnD: Linked Data SPARQL Endpoints Discovery Using Search Engines
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 ...
Classification of Linked Data Sources Using Semantic Scoring
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 ...
Tagging accuracy analysis on part-of-speech taggers
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 ...
A Study of Sound Transmission Loss for Building Materials Using Simulative and Experimental Approaches
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 ...