AN ENSEMBLE ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK WITH BAYESIAN EXPONENTIAL ADAPTIVE GRADIENTS FOR SOUND CLASSIFICATION
With the growth of deep learning in various classification problems, many researchers have used deep learning methods in environmental sound classification tasks.
Saved in:
Main Author: | RAGAB, MOHAMMED GAMAL |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/22718/1/MOHAMMED%20GAMAL%20RAGAB_0020497.pdf http://utpedia.utp.edu.my/22718/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An ensemble one dimensional convolutional neural network with bayesian optimization for environmental sound classification
by: Ragab, M.G., et al.
Published: (2021) -
Short-segment heart sound classification using an ensemble of deep convolutional neural networks
by: Noman, Fuad, et al.
Published: (2019) -
Amphetamine-type stimulants (ATS) drug classification using shallow one-dimensional convolutional neural network
by: Draman @ Muda, Azah Kamilah, et al.
Published: (2021) -
One�dimensional convolutional neural network with adaptive moment estimation for modelling of the sand retention test
by: Razak, N.N.A., et al.
Published: (2021) -
An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks
by: Ihsanto, Eko, et al.
Published: (2020)