Electromagnetic resonance is the most important distinguishing property of metamaterials to
examine many unusual phenomena. The resonant response of metamaterials can depend …

Forest fire detection is a very challenging problem in the field of object detection. Fire
detection-based image analysis have advantages such as usage on wide open areas, the …

Being famous for a classification algorithm using a simple statistic calculation, Naive Bayes
produces a relatively low accuracy. This research tests how combining the Naive Bayes …

Text categorization has become more and more popular and important problem day by day
because of the large proliferation of documents in many fields. To come up with this …

We present an experimental comparison of seven state-of-the-art machine learning
algorithms for the task of semantic analysis of spoken input, with a special emphasis on …

Following the recent increase in the amount of available data, Deep Learning has become
the most popular branch of Machine Learning. This trend can also be seen in Natural …

The prediction of customer churn is a big challenging problem for companies in different
sectors such as banking, telecommunication, and insurance. It is a crucial estimation for …

Text data mining is the process of extracting and analyzing valuable information from text. A
text data mining process generally consists of lexical and syntax analysis of input text data …

The basic idea behind the classifier ensembles is to use more than one classifier by
expecting to improve the overall accuracy. It is known that the classifier ensembles boost the …

Diabetes merupakan penyakit yang memiliki gejala dimana kadar gula darah berada diatas
normal yang disebabkan karena kurangnya insulin dalam darah seseorang. Umumnya …