Electronic beehive monitoring extracts critical information on colony behavior and
phenology without invasive beehive inspections and transportation costs. As an integral …

This paper presents the results of an experimental study performed on seven violins
obtained from a top plate made of resonance spruce and a back plate made of curly maple …

Nowadays additive manufacturing is affected by a rapid expansion of possible applications.
It is defined as a set of technologies that allow the production of components from 3D digital …

Time-Frequency transformation and spectral representations of audio signals are commonly
used in various machine learning applications. Training a network on features such as the …

Increase in the number of online released music tracks means there is a need to improve the
performance of existing Music Information Retrieval (MIR) systems, eg, music search engine …

Time-Frequency transformation and spectral representations of audio signals are commonly
used in various machine learning applications. Training networks on frequency features …

This article aims to delve into the core principles of content-based music recommendation
algorithms. Our goal is to provide in-depth understanding for the ongoing development of …

The cultural transmissions of a society like famous paintings, popular music, good poetry,
and enduring religious rituals/doctrines/texts serve as mediums for the embodiment of …

Scholars have been fascinated by the intersection of math and music for centuries, with
evolving into a powerful method that can unravel the complex connection between sound …

This research aims to develop an automatic gamelan musical note player that can naturally
play musical note as human does. A musician estimates time to hit an instrument button in …