A survey on facial emotion recognition techniques: A state-of-the-art literature review
FZ Canal, TR Müller, JC Matias, GG Scotton… - Information …, 2022 - Elsevier
In this survey, a systematic literature review of the state-of-the-art on emotion expression
recognition from facial images is presented. The paper has as main objective arise the most …
recognition from facial images is presented. The paper has as main objective arise the most …
Computer vision for behaviour-based safety in construction: A review and future directions
W Fang, PED Love, H Luo, L Ding - Advanced Engineering Informatics, 2020 - Elsevier
The process of identifying and bringing to the fore people's unsafe behaviour is a core
function of implementing a behaviour-based safety (BBS) program in construction. This can …
function of implementing a behaviour-based safety (BBS) program in construction. This can …
[HTML][HTML] COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Abstract Background and Objective: The COVID-19 can cause severe pneumonia and is
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …
[HTML][HTML] Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread
S Sethi, M Kathuria, T Kaushik - Journal of biomedical informatics, 2021 - Elsevier
Effective strategies to restrain COVID-19 pandemic need high attention to mitigate
negatively impacted communal health and global economy, with the brim-full horizon yet to …
negatively impacted communal health and global economy, with the brim-full horizon yet to …
[HTML][HTML] A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
Abstract Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and
mankind all over the world is vulnerable to this virus. Alternative tools are needed that can …
mankind all over the world is vulnerable to this virus. Alternative tools are needed that can …
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Cervical cancer, one of the most common fatal cancers among women, can be prevented by
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
[HTML][HTML] Fundus image classification using VGG-19 architecture with PCA and SVD
Automated medical image analysis is an emerging field of research that identifies the
disease with the help of imaging technology. Diabetic retinopathy (DR) is a retinal disease …
disease with the help of imaging technology. Diabetic retinopathy (DR) is a retinal disease …
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration
O Attallah - Computers in biology and medicine, 2022 - Elsevier
The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of
the virus, alleviate lockdown constraints and diminish the burden on health organizations …
the virus, alleviate lockdown constraints and diminish the burden on health organizations …
A review of explainable and interpretable AI with applications in COVID‐19 imaging
The development of medical imaging artificial intelligence (AI) systems for evaluating COVID‐
19 patients has demonstrated potential for improving clinical decision making and assessing …
19 patients has demonstrated potential for improving clinical decision making and assessing …
[HTML][HTML] Transfer learning with deep convolutional neural network for SAR target classification with limited labeled data
Tremendous progress has been made in object recognition with deep convolutional neural
networks (CNNs), thanks to the availability of large-scale annotated dataset. With the ability …
networks (CNNs), thanks to the availability of large-scale annotated dataset. With the ability …