[HTML][HTML] Vehicle-to-everything (V2X) in the autonomous vehicles domain–A technical review of communication, sensor, and AI technologies for road user safety

SA Yusuf, A Khan, R Souissi - Transportation Research Interdisciplinary …, 2024 - Elsevier
Autonomous vehicles (AV) are rapidly becoming integrated into everyday life, with several
countries anticipating their inclusion in public transport networks in the coming years. Safety …

Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review

JI Khan, J Khan, F Ali, F Ullah, J Bacha, S Lee - Ieee Access, 2022 - ieeexplore.ieee.org
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …

[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey

A Ijaz, M Nabeel, U Masood, T Mahmood… - Informatics in Medicine …, 2022 - Elsevier
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …

An IoT framework for screening of COVID-19 using real-time data from wearable sensors

H Mukhtar, S Rubaiee, M Krichen… - International journal of …, 2021 - mdpi.com
Experts have predicted that COVID-19 may prevail for many months or even years before it
can be completely eliminated. A major problem in its cure is its early screening and …

A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?

KC Santosh, N Rasmussen, M Mamun… - PeerJ Computer Science, 2022 - peerj.com
For COVID-19, the need for robust, inexpensive, and accessible screening becomes critical.
Even though symptoms present differently, cough is still taken as one of the primary …

[PDF][PDF] Face detection using haar cascade classifiers based on vertical component calibration

CH Choi, J Kim, J Hyun, Y Kim, B Moon - Human-centric Computing and …, 2022 - hcisj.com
The growing significance of the security and human management fields attracts active
research related to face detection and recognition systems. Among these face detection …

A safe-distance control scheme to avoid new infection like covid-19 virus using millimeter-wave radar

C Chen, P Yue, J Si, N Lv, J Zhang, Q Pei… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
The continuous mutation of the novel coronavirus (COVID-19) necessitates effective urban
public health safety measures. In public spaces, enforcing social distancing is crucial to …

Improving machine learning classification accuracy for breathing abnormalities by enhancing dataset

M Rehman, RA Shah, MB Khan, SA Shah, NA AbuAli… - Sensors, 2021 - mdpi.com
The recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as
coronavirus disease (COVID)-19, has appeared as a global pandemic with a high mortality …

Radar-based human activity recognition using multi-domain multi-level fused patch-based learning

A Dey, S Rajan, G **ao, J Lu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recently, several deep-learning (DL) techniques using different types of 2-D representations
of radar returns, have been developed for radar-based human activity recognition (HAR) …

Solving phase ambiguity in interferometric displacement measurement with millimeter-wave FMCW radar sensors

J Liu, Y Li, C Gu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The frequency-modulated continuous-wave (FMCW) radar sensor is subject to phase
ambiguity in measuring large displacement of over half a wavelength, which is particularly …