In the era of growing cryptocurrency adoption, Blockchain has emerged as a leading player in the digital payment landscape. However, this widespread popularity also brings forth an array of security challenges, including ...

With the advanced technology and state-of-the-art models, natural language processing and sentiment analysis have been a major area for research. In this research, we have included the implementation of temporal analysis ...

In today’s companies recruit a significant number of employees each year and face the challenge of evaluating a vast quantity of resumes from candidates. Consequently, the HR department finds it challenging to filter the ...

The emergence of social networks has led to the development of many methods to evaluate people’s personalities based on their language usage and social interactions. Additionally, performance in numerous downstream tasks ...

The condition of fetal overgrowth, also known as macrosomia, can cause serious health complications for both the mother and the infant. It is crucial to identify high-risk macrosomia- relevant pregnancies and intervene ...

Machine translation in natural language has made remarkable strides, particularly in language translation. Despite extensive global research, the generation of dialogue remains challenging, and this area continues to ...

This thesis explores the relationship between the Big Five personality traits (BPT) and programming language preferences. We randomly collect data of a total of N=820 Twitter (currently X) and Stack overflow (SO) users. ...

Our main objective is to assist those involved in the Agro sector by providing them with access to software applications and technology tools. As most of them are not highly educated, are struggling to maintain their ...

The economic development of Bangladesh is increasing day by day where electricity plays as a vital infrastructural input for economic development. In modern life, electricity is the flexible form of energy and also part ...

Educational Data Mining (EDM) is used to ameliorate the teaching and learning pro- cess by analyzing and classifying data that can be applied to predict the students’ academic performance, and students’ dropout rate, as ...