Sound classification and processing of urban environments: A systematic literature review
AFR Nogueira, HS Oliveira, JJM Machado… - Sensors, 2022 - mdpi.com
Audio recognition can be used in smart cities for security, surveillance, manufacturing,
autonomous vehicles, and noise mitigation, just to name a few. However, urban sounds are …
autonomous vehicles, and noise mitigation, just to name a few. However, urban sounds are …
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 …
[HTML][HTML] An intelligent algorithm for lung cancer diagnosis using extracted features from Computerized Tomography images
Abstract According to the World Health Organization, lung cancer is a leading cause of
death worldwide. This research aims to process the Computerized Tomography (CT) images …
death worldwide. This research aims to process the Computerized Tomography (CT) images …
Heart sound classification based on improved mel-frequency spectral coefficients and deep residual learning
F Li, Z Zhang, L Wang, W Liu - Frontiers in Physiology, 2022 - frontiersin.org
Heart sound classification plays a critical role in the early diagnosis of cardiovascular
diseases. Although there have been many advances in heart sound classification in the last …
diseases. Although there have been many advances in heart sound classification in the last …
CNN and bidirectional GRU-based heartbeat sound classification architecture for elderly people
Cardiovascular diseases (CVDs) are a significant cause of death worldwide. CVDs can be
prevented by diagnosing heartbeat sounds and other conventional techniques early to …
prevented by diagnosing heartbeat sounds and other conventional techniques early to …
A Comprehensive Overview of Heart Sound Analysis Using Machine Learning Methods
MFAB Hamza, NNA Sjarif - IEEE Access, 2024 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs) are a prevalent cause of mortality worldwide, and the
traditional cardiovascular disease diagnosis has relied heavily on stethoscope-based heart …
traditional cardiovascular disease diagnosis has relied heavily on stethoscope-based heart …
[HTML][HTML] A deep learning approach to predict and optimise energy in fish processing industries
The fish processing sector is experiencing increased pressure to reduce its energy
consumption and carbon footprint as a response to (a) an increasingly stringent energy …
consumption and carbon footprint as a response to (a) an increasingly stringent energy …
Assisting heart valve diseases diagnosis via transformer-based classification of heart sound signals
D Yang, Y Lin, J Wei, X Lin, X Zhao, Y Yao, T Tao… - Electronics, 2023 - mdpi.com
Background: In computer-aided medical diagnosis or prognosis, the automatic classification
of heart valve diseases based on heart sound signals is of great importance since the heart …
of heart valve diseases based on heart sound signals is of great importance since the heart …
Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models
SK Prabhakar, DO Won - Expert Systems with Applications, 2023 - Elsevier
The diagnosis of cardiovascular diseases is quite important in the field of medical
community. An important physiological signal of human body is heart sound and it arises …
community. An important physiological signal of human body is heart sound and it arises …
Hilbert domain characterizations of wavelet packets for automated heart sound abnormality detection
Heart valve disease (HVD) is a common disease that affects millions of people worldwide.
Early detection and treatment are essential for improving the prognosis of patients with HVD …
Early detection and treatment are essential for improving the prognosis of patients with HVD …