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 …

Pemanfaatan Google Colab Untuk Aplikasi Pendeteksian Masker Wajah Menggunakan Algoritma Deep Learning YOLOv7

RG Guntara - Jurnal Teknologi Dan Sistem Informasi Bisnis, 2023‏ - jurnal.unidha.ac.id
Deteksi masker wajah berdasarkan metode deteksi objek Deep Learning memainkan peran
penting dalam perang melawan COVID-19, yang mencapai hasil yang baik dengan akurasi …

Face mask detection in smart cities using deep and transfer learning: Lessons learned from the COVID-19 pandemic

Y Himeur, S Al-Maadeed, I Varlamis, N Al-Maadeed… - Systems, 2023‏ - mdpi.com
After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does
not look to be ending soon for most countries across the world. To slow the spread of the …

Integration of improved YOLOv5 for face mask detector and auto-labeling to generate dataset for fighting against COVID-19

TN Pham, VH Nguyen, JH Huh - The Journal of Supercomputing, 2023‏ - Springer
One of the most effective deterrent methods is using face masks to prevent the spread of the
virus during the COVID-19 pandemic. Deep learning face mask detection networks have …

A survey on masked facial detection methods and datasets for fighting against COVID-19

B Wang, J Zheng, CLP Chen - IEEE Transactions on Artificial …, 2021‏ - ieeexplore.ieee.org
Coronavirus disease 2019 (COVID-19) continues to pose a great challenge to the world
since its outbreak. To fight against the disease, a series of artificial intelligence (AI) …

Deep learning and YOLOv8 utilized in an accurate face mask detection system

C Dewi, D Manongga, Hendry, E Mailoa… - Big Data and Cognitive …, 2024‏ - mdpi.com
Face mask detection is a technological application that employs computer vision
methodologies to ascertain the presence or absence of a face mask on an individual …

Impact of Post-Covid-19 on driver behaviour: A perspective towards pandemic-sustained transportation

S Ansari, H Du, F Naghdy, A Sattar - Journal of Transport & Health, 2023‏ - Elsevier
Introduction With the announcement of novel Coronavirus disease 2019 (Covid-19) as a
pandemic by World Health Organization (WHO) in March 2020, the whole world went into a …

Deep learning for face mask detection: a survey

A Sharma, R Gautam, J Singh - Multimedia Tools and Applications, 2023‏ - Springer
Abstract The Coronavirus Disease (Covid-19) was declared as a pandemic by WHO (World
Health Organization) on 11 March 2020, and it is still currently going on, thereby impacting …

Detection of facial mask using deep learning classification algorithm

RK Putri, M Athoillah - Journal of Data Science and …, 2024‏ - ojs.bonviewpress.com
Deep learning is an algorithm that works by representing data in layers of learning layers so
that the representation becomes more meaningful." Deep" in deep learning means that deep …

A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking

M Mahmoud, MSE Kasem, HS Kang - arxiv preprint arxiv:2405.05900, 2024‏ - arxiv.org
Masked face recognition (MFR) has emerged as a critical domain in biometric identification,
especially by the global COVID-19 pandemic, which introduced widespread face masks …