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 …

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) …

Face mask detection on photo and real-time video images using Caffe-MobileNetV2 transfer learning

BA Kumar, M Bansal - Applied Sciences, 2023 - mdpi.com
Face detection systems have generally been used primarily for non-masked faces, which
include relevant facial characteristics such as the ears, chin, lips, nose, and eyes. Masks are …

A YOLO-NL object detector for real-time detection

Y Zhou - Expert Systems with Applications, 2024 - Elsevier
In recent years, YOLO object detection models have undergone significant advancement
due to the success of novel deep convolutional networks. The success of these YOLO …

Real-time facemask detection for preventing COVID-19 spread using transfer learning based deep neural network

MAS Ai, A Shanmugam, S Muthusamy, C Viswanathan… - Electronics, 2022 - mdpi.com
The COVID-19 pandemic disrupted people's livelihoods and hindered global trade and
transportation. During the COVID-19 pandemic, the World Health Organization mandated …

Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19

R Mar-Cupido, V García, G Rivera, JS Sánchez - Applied Soft Computing, 2022 - Elsevier
The use of face masks in public places has emerged as one of the most effective non-
pharmaceutical measures to lower the spread of COVID-19 infection. This has led to the …

Explainable ransomware detection with deep learning techniques

G Ciaramella, G Iadarola, F Martinelli… - Journal of Computer …, 2024 - Springer
Globally, the number of internet users increases every year. As a matter of fact, we use
technological devices to surf the internet, for online shopping, or just to relax and keep our …

Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation

F Mercaldo, L Brunese, F Martinelli, A Santone… - Sensors, 2023 - mdpi.com
Brain cancer is widely recognised as one of the most aggressive types of tumors. In fact,
approximately 70% of patients diagnosed with this malignant cancer do not survive. In this …

A system design with deep learning and IoT to ensure education continuity for post-COVID

F Aydemir, S Arslan - IEEE Transactions on Consumer …, 2023 - ieeexplore.ieee.org
In this paper, an IoT and deep learning-based comprehensive study to reduce the effects of
COVID-19 on the education system is presented. The proposed system consists of an edge …

Face mask detection and classification for COVID-19 using deep learning

D Kayali, K Dimililer, B Sekeroglu - … International Conference on …, 2021 - ieeexplore.ieee.org
With the emergence of COVID-19, our lifestyles have changed. Because of its high infectivity
and high severity, fighting with this virus has become a global problem in no time …