Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review

JI Khan, J Khan, F Ali, F Ullah, J Bacha, S Lee - Ieee Access, 2022 - ieeexplore.ieee.org
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …

[HTML][HTML] Role of artificial intelligence in COVID-19 detection

A Gudigar, U Raghavendra, S Nayak, CP Ooi… - Sensors, 2021 - mdpi.com
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …

[HTML][HTML] A study of using cough sounds and deep neural networks for the early detection of COVID-19

R Islam, E Abdel-Raheem, M Tarique - Biomedical Engineering Advances, 2022 - Elsevier
The current clinical diagnosis of COVID-19 requires person-to-person contact, needs
variable time to produce results, and is expensive. It is even inaccessible to the general …

Computerized analysis of speech and voice for Parkinson's disease: A systematic review

QC Ngo, MA Motin, ND Pah, P Drotár… - Computer Methods and …, 2022 - Elsevier
Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …

The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests

F Manzella, G Pagliarini, G Sciavicco, IE Stan - Artificial Intelligence in …, 2023 - Elsevier
Symbolic learning is the logic-based approach to machine learning, and its mission is to
provide algorithms and methodologies to extract logical information from data and express it …

Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19

M Awais, A Bhuva, D Bhuva, S Fatima… - … Signal Processing and …, 2023 - Elsevier
Since the year 2019, the entire world has been facing the most hazardous and contagious
disease as Corona Virus Disease 2019 (COVID-19). Based on the symptoms, the virus can …

[HTML][HTML] QUCoughScope: an intelligent application to detect COVID-19 patients using cough and breath sounds

T Rahman, N Ibtehaz, A Khandakar, MSA Hossain… - Diagnostics, 2022 - mdpi.com
Problem—Since the outbreak of the COVID-19 pandemic, mass testing has become
essential to reduce the spread of the virus. Several recent studies suggest that a significant …

[HTML][HTML] A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?

KC Santosh, N Rasmussen, M Mamun… - PeerJ Computer Science, 2022 - peerj.com
For COVID-19, the need for robust, inexpensive, and accessible screening becomes critical.
Even though symptoms present differently, cough is still taken as one of the primary …

Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds

N Sobahi, O Atila, E Deniz, A Sengur… - biocybernetics and …, 2022 - Elsevier
The polymerase chain reaction (PCR) test is not only time-intensive but also a contact
method that puts healthcare personnel at risk. Thus, contactless and fast detection tests are …

Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures

G Costantini, C Robotti, M Benazzo… - Knowledge-Based …, 2022 - Elsevier
Alongside the currently used nasal swab testing, the COVID-19 pandemic situation would
gain noticeable advantages from low-cost tests that are available at any-time, anywhere, at a …