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 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) …
A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models
This study aims to develop an assumption-free data-driven model to accurately forecast
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …
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 …
Multiple diseases and pests detection based on federated learning and improved faster R-CNN
F Deng, W Mao, Z Zeng, H Zeng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traditional disease and pest detection technology employ cloud-based deep learning,
which facing the pressures, such as high data storage and communication costs …
which facing the pressures, such as high data storage and communication costs …
Optimized face detector-based intelligent face mask detection model in IoT using deep learning approach
RAS Naseri, A Kurnaz, HM Farhan - Applied Soft Computing, 2023 - Elsevier
The growth of the “Internet of Medical Things (IoMT)” allows for the collection and processing
of data in healthcare systems. At the same time, it is challenging to study the requirements of …
of data in healthcare systems. At the same time, it is challenging to study the requirements of …
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 …
due to the success of novel deep convolutional networks. The success of these YOLO …
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 …
Pedestrian detection using stationary wavelet dilated residual super-resolution
WY Hsu, PC Chen - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Pedestrian detection has become an important subject in applications such as automobile
autopilot assistance and pedestrian tracking in surveillance systems. A number of powerful …
autopilot assistance and pedestrian tracking in surveillance systems. A number of powerful …
Integration of improved YOLOv5 for face mask detector and auto-labeling to generate dataset for fighting against COVID-19
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 …
virus during the COVID-19 pandemic. Deep learning face mask detection networks have …