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 …

A survey on artificial intelligence-based acoustic source identification

R Zaheer, I Ahmad, D Habibi, KY Islam… - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] An intelligent algorithm for lung cancer diagnosis using extracted features from Computerized Tomography images

N Maleki, STA Niaki - Healthcare Analytics, 2023 - Elsevier
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 …

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 …

CNN and bidirectional GRU-based heartbeat sound classification architecture for elderly people

H Yadav, P Shah, N Gandhi, T Vyas, A Nair, S Desai… - Mathematics, 2023 - mdpi.com
Cardiovascular diseases (CVDs) are a significant cause of death worldwide. CVDs can be
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 …

[HTML][HTML] A deep learning approach to predict and optimise energy in fish processing industries

A Ghoroghi, I Petri, Y Rezgui, A Alzahrani - Renewable and Sustainable …, 2023 - Elsevier
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 …

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 …

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 …

Hilbert domain characterizations of wavelet packets for automated heart sound abnormality detection

B Karan, T Padhi - Biomedical Signal Processing and Control, 2024 - Elsevier
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 …