Imbalanced data is a typical problem in the supervised classification field, which occurs
when the different classes are not equally represented. This fact typically results in the …

This research discusses the effect of big data and Internet technologies on the music
industry. Specifically, this paper addresses two research questions;(1) how do modern …

This paper surveys 560 publications about music genre recognition (MGR) published
between 2013–2022, complementing the comprehensive survey of [474], which covered the …

Music is part of many areas throughout daily life, from entertainment to rehabilitation.
Technological developments are widely used in music, as they are in every field. In this …

The central theme of this chapter is to explore classification algorithms on complex data sets
which have a high number of features. The data set used in this project is the GTZAN data …

Genres are one of the key features that categorize music based on specific series of
patterns. However, the Arabic music content on the web is poorly defined into its genres …

The study aims to evaluate the performance of the Music Genre Prediction System using a
Novel Support Vector Machine and Decision Tree. The MARSYAS website provided the …

Automatic music genre classification are essential for applications that provide music
analysis and music retrieval as well as for recommendation systems. Most of the prior …

This research aims to develop a gamelan music genre classifier based on the musical mode
system determined based on the dominant notes in a certain order. Only experts can …

Artificial intelligence (AI) and the Internet of Things (IoT) make it urgent to push the frontier of
AI to the network edge and release the potential of edge big data. The model's accuracy in …