Practical study of recurrent neural networks for efficient real-time drone sound detection: A review

D Utebayeva, L Ilipbayeva, ET Matson - Drones, 2022 - mdpi.com
The detection and classification of engine-based moving objects in restricted scenes from
acoustic signals allow better Unmanned Aerial System (UAS)-specific intelligent systems …

A comprehensive review of polyphonic sound event detection

TK Chan, CS Chin - IEEE Access, 2020 - ieeexplore.ieee.org
One of the most amazing functions of the human auditory system is the ability to detect all
kinds of sound events in the environment. With the technologies and hardware advances …

Machine learning inspired sound-based amateur drone detection for public safety applications

MZ Anwar, Z Kaleem… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, popularity of unmanned air vehicles enormously increased due to their
autonomous moving capability and applications in various domains. This also results in …

A generic deep learning based cough analysis system from clinically validated samples for point-of-need COVID-19 test and severity levels

J Andreu-Perez, H Pérez-Espinosa… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In an attempt to reduce the infection rate of the COrona VIrus Disease-19 (Covid-19)
countries around the world have echoed the exigency for an economical, accessible, point …

Malicious UAV detection using integrated audio and visual features for public safety applications

S Jamil, Fawad, MU Rahman, A Ullah, S Badnava… - Sensors, 2020 - mdpi.com
Unmanned aerial vehicles (UAVs) have become popular in surveillance, security, and
remote monitoring. However, they also pose serious security threats to public privacy. The …

Development of an acoustic system for UAV detection

C Dumitrescu, M Minea, IM Costea, I Cosmin Chiva… - Sensors, 2020 - mdpi.com
The purpose of this paper is to investigate the possibility of developing and using an
intelligent, flexible, and reliable acoustic system, designed to discover, locate, and transmit …

Combination of VMD mapping MFCC and LSTM: A new acoustic fault diagnosis method of diesel engine

H Yan, H Bai, X Zhan, Z Wu, L Wen, X Jia - Sensors, 2022 - mdpi.com
Diesel engines have a wide range of functions in the industrial and military fields. An urgent
problem to be solved is how to diagnose and identify their faults effectively and timely. In this …

Review of automatic detection and classification techniques for cetacean vocalization

AM Usman, OO Ogundile, DJJ Versfeld - Ieee Access, 2020 - ieeexplore.ieee.org
Cetaceans have elicited the attention of researchers in recent decades due to their
importance to the ecosystem and their economic values. They use sound for communication …

Multispectral detection of commercial unmanned aerial vehicles

J Farlik, M Kratky, J Casar, V Stary - Sensors, 2019 - mdpi.com
The fight against unmanned vehicles is nothing new; however, especially with the arrival of
new technologies that are easily accessible for the wider population, new problems are …

Amateur Drones Detection: A machine learning approach utilizing the acoustic signals in the presence of strong interference

Z Uddin, M Altaf, M Bilal, L Nkenyereye… - Computer …, 2020 - Elsevier
Owing to small size, sensing capabilities and autonomous nature, the Unmanned Air
Vehicles (UAVs) have enormous applications in various areas eg, remote sensing …