A survey of emergencies management systems in smart cities

DG Costa, JPJ Peixoto, TC Jesus, P Portugal… - IEEE …, 2022 - ieeexplore.ieee.org
The rapid urbanization process in the last century has deeply changed the way we live and
interact with each other. As most people now live in urban areas, cities are experiencing …

[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review

A Idrisoglu, AL Dallora, P Anderberg… - Journal of Medical Internet …, 2023 - jmir.org
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method

NK Chowdhury, MA Kabir, MM Rahman… - Computers in Biology …, 2022 - Elsevier
This research aims to analyze the performance of state-of-the-art machine learning
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …

Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic

S Balasubramanian, V Shukla, N Islam… - … Journal of Production …, 2023 - Taylor & Francis
The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

COVID-19 sounds: a large-scale audio dataset for digital respiratory screening

T Xia, D Spathis, J Ch, A Grammenos… - Thirty-fifth conference …, 2021 - openreview.net
Audio signals are widely recognised as powerful indicators of overall health status, and
there has been increasing interest in leveraging sound for affordable COVID-19 screening …

CR19: A framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications

EED Hemdan, W El-Shafai, A Sayed - Journal of Ambient Intelligence and …, 2023 - Springer
Today, there is a level of panic and chaos dominating the entire world due to the massive
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …

Gradient boosting machine and efficient combination of features for speech-based detection of COVID-19

TK Dash, C Chakraborty, S Mahapatra… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
In recent times, speech-based automatic disease detection systems have shown several
promising results in biomedical and life science applications, especially in the case of …

Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review

J Zhang, J Wu, Y Qiu, A Song, W Li, X Li… - Computers in Biology and …, 2023 - Elsevier
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …

Design of bird sound recognition model based on lightweight

F Yang, Y Jiang, Y Xu - Ieee Access, 2022 - ieeexplore.ieee.org
Bird sounds recognition is of great significance in bird protection. With appropriate sound
classification, research can automatically predict the quality of life in the area. Nowadays …