Students with mental retardation are seen as less likely to have independence, especially
those who occupy the Extraordinary Elementary School (SDLB) and are most dominantly …

Medical information systems such as Internet of Medical Things (IoMT) are gained special
attention over recent years. X-ray and MRI images are important sources of information to be …

Social media has become an essential facet of modern society, wherein people share their
opinions on a wide variety of topics. Social media is quickly becoming indispensable for a …

In recent years, our increasing use of technology has resulted in the production of vast
amounts of data. Consequently, many researchers have analyzed digital data in attempt to …

To forecast the future trend of financial activities through its rules, a convolutional neural
network (CNN) is used to forecast stock index. Firstly, a CNN stock index prediction model is …

Text sentiment analysis is mostly used for the assessment of the author's mood depending
on the context. The purpose of sentiment analysis is to discover the exactness of the …

The prediction of individual interpersonal communication skills and personality traits is a
critical issue in both industrial and organizational psychology and affective computing. In this …

The identification of human behavior can provide useful information across multiple job
spectra. Recent advances in applying data-based approaches to social sciences have …

Personality recognition in text is a critical problem in classifying personality traits from the
input content of users. Recent studies address this issue by fine-tuning pre-trained language …

Social media has become one of the most important things in daily life to communicate,
show expression and exchange information. Facebook is one of the most widely used social …