Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
Challenges and opportunities of deep learning for cough-based COVID-19 diagnosis: A scoping review
In the past two years, medical researchers and data scientists worldwide have focused their
efforts on containing the pandemic of coronavirus disease 2019 (COVID-19). Deep learning …
efforts on containing the pandemic of coronavirus disease 2019 (COVID-19). Deep learning …
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
Recent work has reported that respiratory audio-trained AI classifiers can accurately predict
SARS-CoV-2 infection status. However, it has not yet been determined whether such model …
SARS-CoV-2 infection status. However, it has not yet been determined whether such model …
[HTML][HTML] A novel deep learning model to detect COVID-19 based on wavelet features extracted from Mel-scale spectrogram of patients' cough and breathing sounds
M Aly, NS Alotaibi - Informatics in Medicine Unlocked, 2022 - Elsevier
The goal of this paper is to classify the various cough and breath sounds of COVID-19
artefacts in the signals from dynamic real-life environments. The main reason for choosing …
artefacts in the signals from dynamic real-life environments. The main reason for choosing …
CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection …
G Celik - Computers in Biology and Medicine, 2023 - Elsevier
This study proposes a new deep learning-based method that demonstrates high
performance in detecting Covid-19 disease from cough, breath, and voice signals. This …
performance in detecting Covid-19 disease from cough, breath, and voice signals. This …
RAGN-L: a stacked ensemble learning technique for classification of fire-resistant columns
AÖ Çiftçioğlu - Expert Systems with Applications, 2024 - Elsevier
One of the main challenges in using reinforced concrete materials in structures is to
comprehend their fire resistance. The assessment of fire resistance can be performed in a …
comprehend their fire resistance. The assessment of fire resistance can be performed in a …
DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis
Problem Cough-based disease detection is a hot research topic for machine learning, and
much research has been published on the automatic detection of Covid-19. However, these …
much research has been published on the automatic detection of Covid-19. However, these …
A multimodal AI-based non-invasive COVID-19 grading framework powered by deep learning, manta ray, and fuzzy inference system from multimedia vital signs
SA Almutairi - Heliyon, 2023 - cell.com
The COVID-19 pandemic has presented unprecedented challenges to healthcare systems
worldwide. One of the key challenges in controlling and managing the pandemic is accurate …
worldwide. One of the key challenges in controlling and managing the pandemic is accurate …
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19,
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …
Detection of COVID-19 from deep breathing sounds using sound spectrum with image augmentation and deep learning techniques
The COVID-19 pandemic is one of the most disruptive outbreaks of the 21st century
considering its impacts on our freedoms and social lifestyle. Several methods have been …
considering its impacts on our freedoms and social lifestyle. Several methods have been …