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A survey on deep learning based forest environment sound classification at the edge
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 …
Unique natural and artificial phenomena pose severe threats to the perseverance of such …
Environment knowledge-driven generic models to detect coughs from audio recordings
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 …
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)
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
aerial vehicle (UAV)-based applications. However, it is challenging to ensure reliable …