Musical genre is probably the most popular music descriptor. In the context of large musical
databases and Electronic Music Distribution, genre is therefore a crucial metadata for the …

Time series are recorded values of an interesting phenomenon such as stock prices,
household incomes, or patient heart rates over a period of time. Time series data mining …

Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …

In-situ process monitoring of additively manufactured parts has become a topic of increasing
interest to the manufacturing community. In this work, acoustic measurements recorded …

This study introduces an explainable artificial intelligence (XAI) approach of convolutional
neural networks (CNNs) for classification in vibration signals analysis. First, vibration signals …

Content-based music genre classification is a fundamental component of music information
retrieval systems and has been gaining importance and enjoying a growing amount of …

Multimedia content analysis refers to the computerized understanding of the semantic
meanings of a multimedia document, such as a video sequence with an accompanying …

We present an algorithm that predicts musical genre and artist from an audio waveform. Our
method uses the ensemble learner A DA B OOST to select from a set of audio features that …

(57) ABSTRACT A collaborative information system in which a? rst display device provides a
recommendation of programming content to a viewer of a second display device, where the …

Additive manufacturing, also known as 3D printing, has been increasingly applied to
fabricate highly intellectual property (IP) sensitive products. However, the related IP …