Deep learning on multi sensor data for counter UAV applications—A systematic review
Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …
applications, as they prove to be both autonomous and flexible in a variety of environments …
Acoustic scene classification: a comprehensive survey
Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …
applications. Various audio signal processing and machine learning methods have been …
[HTML][HTML] Machine learning in acoustics: Theory and applications
Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …
communications to ocean and Earth science. We survey the recent advances and …
Spectral images based environmental sound classification using CNN with meaningful data augmentation
In this study, an effective approach of spectral images based on environmental sound
classification using Convolutional Neural Networks (CNN) with meaningful data …
classification using Convolutional Neural Networks (CNN) with meaningful data …
Environmental sound classification using a regularized deep convolutional neural network with data augmentation
The adoption of the environmental sound classification (ESC) tasks increases very rapidly
over recent years due to its broad range of applications in our daily routine life. ESC is also …
over recent years due to its broad range of applications in our daily routine life. ESC is also …
Environment sound classification using a two-stream CNN based on decision-level fusion
With the popularity of using deep learning-based models in various categorization problems
and their proven robustness compared to conventional methods, a growing number of …
and their proven robustness compared to conventional methods, a growing number of …
General-purpose tagging of freesound audio with audioset labels: Task description, dataset, and baseline
This paper describes Task 2 of the DCASE 2018 Challenge, titled" General-purpose audio
tagging of Freesound content with AudioSet labels". This task was hosted on the Kaggle …
tagging of Freesound content with AudioSet labels". This task was hosted on the Kaggle …
Eranns: Efficient residual audio neural networks for audio pattern recognition
Audio pattern recognition (APR) is an important research topic and can be applied to several
fields related to our lives. Therefore, accurate and efficient APR systems need to be …
fields related to our lives. Therefore, accurate and efficient APR systems need to be …
A comprehensive survey on convolutional neural network in medical image analysis
CNN is inspired from Primary Visual (V1) neurons. It is a typical deep learning technique
and can help teach machine how to see and identify objects. In the most recent decade …
and can help teach machine how to see and identify objects. In the most recent decade …
Automatic detection of patient with respiratory diseases using lung sound analysis
G Chambres, P Hanna… - … on Content-Based …, 2018 - ieeexplore.ieee.org
In modern medicine, every cardiac assessment or respiratory check-up includes an audio
auscultation during which one the medical specialist listens to sounds from the patient body …
auscultation during which one the medical specialist listens to sounds from the patient body …