[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 …
[HTML][HTML] Iot solutions and ai-based frameworks for masked-face and face recognition to fight the COVID-19 pandemic
A global health emergency resulted from the COVID-19 epidemic. Image recognition
techniques are a useful tool for limiting the spread of the pandemic; indeed, the World …
techniques are a useful tool for limiting the spread of the pandemic; indeed, the World …
[HTML][HTML] A holistic approach to identify and classify COVID-19 from chest radiographs, ECG, and CT-scan images using shufflenet convolutional neural network
Early and precise COVID-19 identification and analysis are pivotal in reducing the spread of
COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs …
COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs …
[HTML][HTML] Innovative hybrid approach for masked face recognition using pretrained mask detection and segmentation, robust PCA, and KNN classifier
Face masks are widely used in various industries and jobs, such as healthcare, food service,
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
[HTML][HTML] A novel CovidDetNet deep learning model for effective COVID-19 infection detection using chest radiograph images
The suspected cases of COVID-19 must be detected quickly and accurately to avoid the
transmission of COVID-19 on a large scale. Existing COVID-19 diagnostic tests are slow and …
transmission of COVID-19 on a large scale. Existing COVID-19 diagnostic tests are slow and …
[HTML][HTML] FMDNet: an efficient system for face mask detection based on lightweight model during COVID-19 pandemic in public areas
A new artificial intelligence-based approach is proposed by developing a deep learning
(DL) model for identifying the people who violate the face mask protocol in public places. To …
(DL) model for identifying the people who violate the face mask protocol in public places. To …
[HTML][HTML] A robust end-to-end deep learning-based approach for effective and reliable BTD using MR images
Detection of a brain tumor in the early stages is critical for clinical practice and survival rate.
Brain tumors arise in multiple shapes, sizes, and features with various treatment options …
Brain tumors arise in multiple shapes, sizes, and features with various treatment options …
[HTML][HTML] An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model
Introduction Recently, plant disease detection and diagnosis procedures have become a
primary agricultural concern. Early detection of plant diseases enables farmers to take …
primary agricultural concern. Early detection of plant diseases enables farmers to take …
Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks
BUH Sheikh, A Zafar - Evolving Systems, 2024 - Springer
As the world continues to grapple with the COVID-19 pandemic, the face mask detection
system has become an essential tool in containing the spread of the virus. However, our …
system has become an essential tool in containing the spread of the virus. However, our …
Unlocking adversarial transferability: a security threat towards deep learning-based surveillance systems via black box inference attack-a case study on face mask …
BUH Sheikh, A Zafar - Multimedia Tools and Applications, 2024 - Springer
With the increasing demand for reliable face mask detection systems during the COVID-19
pandemic, deep learning (DL) and machine learning (ML) algorithms have been widely …
pandemic, deep learning (DL) and machine learning (ML) algorithms have been widely …