Sentiment analysis has become an important task in natural language processing because it
is used in many different areas. This paper gives a detailed review of sentiment analysis …

In this study, the hourly directions of eight banking stocks in Borsa Istanbul were predicted
using linear-based, deep-learning (LSTM) and ensemble learning (LightGBM) models …

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

Financial activities are closely related to human social life. Data mining plays an important
role in the analysis and prediction of financial markets, especially in the context of the …

Finances represent one of the key requirements to perform any useful activity for humanity.
Financial markets, eg, stock markets, forex, and mercantile exchanges, etc., provide the …

Purpose: As the use of Internet of Things (IoT) systems has become widespread, cyber-
attacks against these systems have also increased. Cyber-attacks occurring in IoT …

To forecast the movement directions of stocks, exchange rates, and stock markets are
significant and an active research area for investors, analysts, and researchers. In this …

Purpose: This study aims to proof the necessity and capabilities of proposed our novel
hybrid deep learning approach for gender recognition using human ear images. The study …

Purpose: It is an important need to be able to reach the right content covering the desired
information in a short time from the intense data that we are exposed to today. The headlines …

Purpose: In this study, it is aimed is to demonstrate that the health status of bees can be
detected by artificial intelligence by developing a different perspective in the diagnosis of six …