This paper provides an analysis of state-of-the-art activation functions with respect to
supervised classification of deep neural network. These activation functions comprise of …

Pig welfare is closely related to the economical production of pig farms. With regard to pig
welfare assessment, pig sounds are significant indicators, which can reflect the quality of the …

In this paper, we propose lightweight deep neural networks for Acoustic Scene Classification
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …

Recently, convolutional neural networks (CNN) have achieved the state-of-the-art
performance in acoustic scene classification (ASC) task. The audio data is often transformed …

In this paper, we present deep learning frameworks for audio-visual scene classification
(SC) and indicate how individual visual, audio features as well as their combination affect …

In this paper, we present a robust and low complexity model for Acoustic Scene
Classification (ASC), the task of identifying the scene of an audio recording. We firstly …

This technical report describes the ADSPLAB team's submission for Task1 of DCASE2020
challenge. Our acoustic scene classification (ASC) system is based on the convolutional …

In this paper, we present the task of audio-visual scene classification (SC) where input
videos are classified into one of five real-life crowded scenes:'Riot','Noise-Street','Firework …

In this paper, we presents a low-complexity deep learning frameworks for acoustic scene
classification (ASC). The proposed framework can be separated into three main steps: Front …

Cancer is currently one of the most threatening diseases. The analysis of high dimensional
microarray data is a method that is frequently used for cancer diagnosis. Multi category …