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[HTML][HTML] Vehicle-to-everything (V2X) in the autonomous vehicles domain–A technical review of communication, sensor, and AI technologies for road user safety
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 …
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
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 …
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
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …
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
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 …
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?
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 …
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
The growing significance of the security and human management fields attracts active
research related to face detection and recognition systems. Among these face detection …
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
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 …
public health safety measures. In public spaces, enforcing social distancing is crucial to …
Improving machine learning classification accuracy for breathing abnormalities by enhancing dataset
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 …
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
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) …
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
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 …
ambiguity in measuring large displacement of over half a wavelength, which is particularly …