A survey of underwater acoustic data classification methods using deep learning for shoreline surveillance
This paper presents a comprehensive overview of current deep-learning methods for
automatic object classification of underwater sonar data for shoreline surveillance …
automatic object classification of underwater sonar data for shoreline surveillance …
Trends in audio signal feature extraction methods
Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …
A survey on artificial intelligence-based acoustic source identification
The concept of Acoustic Source Identification (ASI), which refers to the process of identifying
noise sources has attracted increasing attention in recent years. The ASI technology can be …
noise sources has attracted increasing attention in recent years. The ASI technology can be …
Musical genre classification of audio signals
G Tzanetakis, P Cook - IEEE Transactions on speech and …, 2002 - ieeexplore.ieee.org
Musical genres are categorical labels created by humans to characterize pieces of music. A
musical genre is characterized by the common characteristics shared by its members. These …
musical genre is characterized by the common characteristics shared by its members. These …
Position and orientation agnostic gesture recognition using WiFi
WiFi based gesture recognition systems have recently proliferated due to the ubiquitous
availability of WiFi in almost every modern building. The key limitation of existing WiFi based …
availability of WiFi in almost every modern building. The key limitation of existing WiFi based …
Neural classification of lung sounds using wavelet coefficients
Electronic auscultation is an efficient technique to evaluate the condition of respiratory
system using lung sounds. As lung sound signals are non-stationary, the conventional …
system using lung sounds. As lung sound signals are non-stationary, the conventional …
Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection
D Wang, D Miao, C **e - Expert Systems with Applications, 2011 - Elsevier
In this study, a hierarchical electroencephalogram (EEG) classification system for epileptic
seizure detection is proposed. The system includes the following three stages:(i) original …
seizure detection is proposed. The system includes the following three stages:(i) original …
Impact of COVID‐19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short‐Term Memory
COVID‐19 is an infectious disease that mostly affects the respiratory system. At the time of
this research being performed, there were more than 1.4 million cases of COVID‐19, and …
this research being performed, there were more than 1.4 million cases of COVID‐19, and …
Features for content-based audio retrieval
Today, a large number of audio features exists in audio retrieval for different purposes, such
as automatic speech recognition, music information retrieval, audio segmentation, and …
as automatic speech recognition, music information retrieval, audio segmentation, and …
The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery
The monitoring of progressive wear in gears using various non-destructive technologies as
well as the use of advanced signal processing techniques upon the acquired recordings to …
well as the use of advanced signal processing techniques upon the acquired recordings to …