[HTML][HTML] Developments in image processing using deep learning and reinforcement learning
The growth in the volume of data generated, consumed, and stored, which is estimated to
exceed 180 zettabytes in 2025, represents a major challenge both for organizations and for …
exceed 180 zettabytes in 2025, represents a major challenge both for organizations and for …
[HTML][HTML] Face mask detection in smart cities using deep and transfer learning: Lessons learned from the COVID-19 pandemic
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 …
not look to be ending soon for most countries across the world. To slow the spread of the …
A breathable, reusable, and zero-power smart face mask for wireless cough and mask-wearing monitoring
We herein introduce a lightweight and zero-power smart face mask, capable of wirelessly
monitoring coughs in real time and identifying proper mask wearing in public places during …
monitoring coughs in real time and identifying proper mask wearing in public places during …
A real-time cnn-based lightweight mobile masked face recognition system
Due to the global spread of the Covid-19 virus and its variants, new needs and problems
have emerged during the pandemic that deeply affects our lives. Wearing masks as the most …
have emerged during the pandemic that deeply affects our lives. Wearing masks as the most …
[HTML][HTML] Application of deep learning and machine learning models to detect COVID-19 face masks-A review
E Mbunge, S Simelane, SG Fashoto… - Sustainable Operations …, 2021 - Elsevier
The continuous COVID-19 upsurge and emerging variants present unprecedented
challenges in many health systems. Many regulatory authorities have instituted the …
challenges in many health systems. Many regulatory authorities have instituted the …
[HTML][HTML] Incorrect facemask-wearing detection using convolutional neural networks with transfer learning
The COVID-19 pandemic has been a worldwide catastrophe. Its impact, not only
economically, but also socially and in terms of human lives, was unexpected. Each of the …
economically, but also socially and in terms of human lives, was unexpected. Each of the …
Secure IoT Healthcare Architecture with Deep Learning‐Based Access Control System
K Thilagam, A Beno, MV Lakshmi… - Journal of …, 2022 - Wiley Online Library
The existing healthcare system based on traditional management involves the storage and
processing of large quantities of medical data. The incorporation of the Internet of Things …
processing of large quantities of medical data. The incorporation of the Internet of Things …
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) …
since its outbreak. To fight against the disease, a series of artificial intelligence (AI) …
[HTML][HTML] 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 …
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
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 …
pharmaceutical measures to lower the spread of COVID-19 infection. This has led to the …