[HTML][HTML] COVID-19 digital contact tracing applications and techniques: A review post initial deployments

M Shahroz, F Ahmad, MS Younis, N Ahmad… - Transportation …, 2021 - Elsevier
Abstract The coronavirus disease 2019 (COVID-19) is a severe global pandemic that has
claimed millions of lives and continues to overwhelm public health systems in many …

Advances in terahertz technology for cancer detection applications

M Gezimati, G Singh - Optical and Quantum Electronics, 2023 - Springer
Currently, there is an increasing demand for the diagnostic techniques that provide
functional and morphological information with early cancer detection capability. Novel …

Evaluation of biases in remote photoplethysmography methods

A Dasari, SKA Prakash, LA Jeni, CS Tucker - NPJ digital medicine, 2021 - nature.com
This work investigates the estimation biases of remote photoplethysmography (rPPG)
methods for pulse rate measurement across diverse demographics. Advances in …

A hybrid posture detection framework: Integrating machine learning and deep neural networks

S Liaqat, K Dashtipour, K Arshad… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The posture detection received lots of attention in the fields of human sensing and artificial
intelligence. Posture detection can be used for the monitoring health status of elderly …

[HTML][HTML] Application of machine learning in CT images and X-rays of COVID-19 pneumonia

F Zhang - Medicine, 2021 - journals.lww.com
Abstract Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …

Internet of everything (IoE) taxonomies: A survey and a novel knowledge-based taxonomy

VC Farias da Costa, L Oliveira, J de Souza - Sensors, 2021 - mdpi.com
The paradigm of the Internet of everything (IoE) is advancing toward enriching people's lives
by adding value to the Internet of things (IoT), with connections among people, processes …

Non-contact monitoring and classification of breathing pattern for the supervision of people infected by COVID-19

AT Purnomo, DB Lin, T Adiprabowo, WF Hendria - Sensors, 2021 - mdpi.com
During the pandemic of coronavirus disease-2019 (COVID-19), medical practitioners need
non-contact devices to reduce the risk of spreading the virus. People with COVID-19 usually …

[HTML][HTML] Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review

U Saeed, SY Shah, J Ahmad, MA Imran… - Journal of …, 2022 - Elsevier
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …

Terahertz imaging and sensing for healthcare: current status and future perspectives

M Gezimati, G Singh - IEEE Access, 2023 - ieeexplore.ieee.org
There is a keen interest in the exploration of new generation emitters and detectors due to
advancements in innovation of new materials and device processing technologies which …

Novel deep convolutional neural network-based contextual recognition of Arabic handwritten scripts

R Ahmed, M Gogate, A Tahir, K Dashtipour… - Entropy, 2021 - mdpi.com
Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the
areas of pattern recognition and image processing due to its application in several fields …