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

Recently, one of the most common approaches used in speech recognition is deep learning.
The most advanced results have been obtained with speech recognition systems created …

Increasing hate speech on social media platforms causes psychological disorders and deep
and negative effects. Automatic language classification models are needed to detect hate …

Günümüzde derin öğrenme metotları robotik, ses işleme, tıp ve görüntü gibi birçok alanda
yaygın kullanılmaktadır. Bu çalışmada literatürde yapılan görüntü sınıflandırma ve analizine …

This paper aims to apply a deep learning algorithm to estimate the prediction of various
external financial input variables on adopting eco-innovation practices such as renewable …

This paper aims to apply a deep learning algorithm to estimate the prediction of various
external financial input variables on adopting eco-innovation practices such as renewable …

Multi-criteria recommender systems provide efficient solutions to deal with information
overload problem by producing personalized recommendations considering multiple …

Bu çalışmada Uluslararası Deri Görüntüleme Birliği tarafından 2019 yılında yayınlanan ve
25000'den fazla dermoskopik deri görüntüsü içeren ISIC 2019 veri seti kullanılarak 4 çeşit …

Remote sensing is the technology of collecting and examining data about the earth with
special sensors. The data obtained are used in many application areas. The classification …

The Internet of Things (IoT) and information technologies applied in the improvement of
healthcare operations have reached an important point. In the dayswe live, especially after …