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Evaluation of deep learning neural networks for surface roughness prediction using vibration signal analysis
WJ Lin, SH Lo, HT Young, CL Hung - Applied Sciences, 2019 - mdpi.com
The use of surface roughness (Ra) to indicate product quality in the milling process in an
intelligent monitoring system applied in-process has been develo**. From the …
intelligent monitoring system applied in-process has been develo**. From the …
Performance analysis of multiple aggregated acoustic features for environment sound classification
Accuracy cognition in the complex and dynamic environment plays a pivotal part in artificial
intelligence. Accurate classification of acoustic events is one of the foundations of …
intelligence. Accurate classification of acoustic events is one of the foundations of …
Using deep convolutional neural network to classify urban sounds
The environmental sounds are usually classified by a convolutional neural network.
However, there are few studies investigates the network input construction issue. In this …
However, there are few studies investigates the network input construction issue. In this …
What affects the performance of convolutional neural networks for audio event classification
Convolutional neural networks (CNN) have played an important role in Audio Event
Classification (AEC). Both 1D-CNN and 2D-CNN methods have been applied to improve the …
Classification (AEC). Both 1D-CNN and 2D-CNN methods have been applied to improve the …
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification
J Naranjo-Alcazar, S Perez-Castanos… - ar** acoustics to articulatory gestures in Dutch: relating speech gestures, acoustics and neural data
Completely locked-in patients suffer from paralysis affecting every muscle in their body,
reducing their communication means to brain-computer interfaces (BCIs). State-of-the-art …
reducing their communication means to brain-computer interfaces (BCIs). State-of-the-art …
A comparative analysis of residual block alternatives for end-to-end audio classification
J Naranjo-Alcazar, S Perez-Castanos… - IEEE …, 2020 - ieeexplore.ieee.org
Residual learning is known for being a learning framework that facilitates the training of very
deep neural networks. Residual blocks or units are made up of a set of stacked layers …
deep neural networks. Residual blocks or units are made up of a set of stacked layers …
[PDF][PDF] Wahrnehmung von verkehrslärm im innenraum
The work being presented here was carried by students in the joint master's program,
Building Physics, at the University of Applied Sciences Stuttgart (HFT) and the Technical …
Building Physics, at the University of Applied Sciences Stuttgart (HFT) and the Technical …
Computational analysis of style in Irish traditional flute playing
I Ali-MacLachlan - 2019 - open-access.bcu.ac.uk
The wooden flute is a common melodic instrument used in Irish traditional music (ITM). A
player's style is a personal interpretation of a traditional melody reflecting technical skill …
player's style is a personal interpretation of a traditional melody reflecting technical skill …