In the recent past, more than 5 years or so, DL especially the large language models (LLMs)
has generated extensive studies out of a distinctly average downturn field of knowledge …

This review explores the integration of Natural Language Processing (NLP) and Artificial
Intelligence (AI) in enhancing data visualization for real-time analytics. In an era …

Ensemble multifeatured deep learning methodology has emerged as a powerful approach
to overcome the limitations of single deep learning models in terms of generalization …

In recent years, large language models (LLMs) have come into view as one of the most
transformative developments in the technical domain, influencing diverse sectors ranging …

Text emotion recognition (TER) is an important natural language processing (NLP) task
which is widely used in human–computer interaction, public opinion analysis, mental health …

This study aims to explore the application of deep learning models in multi-track music
generation to enhance the efficiency and quality of music production. Considering the …

Music is capable of conveying many emotions. The level and type of emotion of the music
perceived by a listener, however, is highly subjective. In this study, we present the Music …

In the context of emotion recognition, Artificial Intelligence technology has demonstrated
several functions in people's lives. Computing research is now focused on …

Deep learning models for music have advanced drastically in the last few years. But how
good are machine learning models at capturing emotion these days and what challenges …

In recent years, with the development of the digital era, music emotion recognition
technology has been widely used in the fields of music recommendation system, music …