A survey on deep learning based forest environment sound classification at the edge

D Meedeniya, I Ariyarathne, M Bandara… - ACM Computing …, 2023 - dl.acm.org
Forest ecosystems are of paramount importance to the sustainable existence of life on earth.
Unique natural and artificial phenomena pose severe threats to the perseverance of such …

Environment knowledge-driven generic models to detect coughs from audio recordings

S Vhaduri, SV Dibbo, Y Kim - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Goal: Millions of people are dying due to respiratory diseases, such as COVID-19 and
asthma, which are often characterized by some common symptoms, including coughing …

Operation and productivity monitoring from sound signal of legacy pipe bending machine via convolutional neural network (cnn)

E Kim, D Mun, MBG Jun, H Yun - International Journal of Precision …, 2024 - Springer
This study introduces a non-invasive approach to monitor operation and productivity of a
legacy pipe bending machine in real-time based on a lightweight convolutional neural …

Estimation of number of unmanned aerial vehicles in a scene utilizing acoustic signatures and machine learning

W AN, A Jha, A Kumar… - The Journal of the …, 2023 - pubs.aip.org
With the exponential growth in unmanned aerial vehicle (UAV)-based applications, there is
a need to ensure safe and secure operations. From a security perspective, detecting and …

[HTML][HTML] An acoustic tracking model based on deep learning using two hydrophones and its reverberation transfer hypothesis, applied to whale tracking

K **, J Xu, X Zhang, C Lu, L Xu, Y Liu - Frontiers in Marine Science, 2023 - frontiersin.org
Acoustic tracking of whales' underwater cruises is essential for protecting marine
ecosystems. For cetacean conservationists, fewer hydrophones will provide more …

Fast Autocorrelation Feature-Based Infant Cry Detector for Resource-Efficient Affordable Edge Cry Sound Analysis Systems

SP Narayanan, MS Manikandan… - 2024 IEEE 19th …, 2024 - ieeexplore.ieee.org
The effectiveness and efficiency of automated cry sound analysis systems highly rely on the
accurate and reliable determination of cry sound portions in audio in the presence of …

Unlocking Soundscapes: Harnessing Machine Learning for Sound Classification

A Hidayat, DBP Njoo, GD Adrian… - 2024 9th …, 2024 - ieeexplore.ieee.org
The concept of Smart Cities has been implemented in several major areas to improve the
lives of citizens. One of the technologies used is sound classification, which monitors and …

Convolutional neural network reveals frequency content of medio-lateral COM body sway to be highly predictive of Parkinson's disease

D Engel, RS Greulich, A Parola, K Vinehout… - medRxiv, 2023 - medrxiv.org
Postural instability as a symptom of progressing Parkinson's disease (PD) greatly reduces
quality of life. Hence, early detection of postural impairments is crucial to facilitate …

Auto Grou** Network Audio Devices: Using Deep Learning

ZH Mohammad, M Tota - 2024 - diva-portal.org
Background: In the realm of modern audio processing, grou** network audio devices
based on room acoustics is a challenging problem. Deep learning techniques provide a …

Smart Sensing and Communications for UAVs/Drones

WA Nelson - 2024 - uia.brage.unit.no
Reliable sensing and energy-efficient communication are an integral part of unmanned
aerial vehicle (UAV)-based applications. However, it is challenging to ensure reliable …