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Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey
The unpredictable pandemic came to light at the end of December 2019, known as the novel
coronavirus, also termed COVID-19, identified by the World Health Organization (WHO). The …
coronavirus, also termed COVID-19, identified by the World Health Organization (WHO). The …
Real‐Time Implementation of AI‐Based Face Mask Detection and Social Distancing Measuring System for COVID‐19 Prevention
Since the infectious coronavirus disease (COVID‐19) was first reported in Wuhan, it has
become a public health problem in China and even around the world. This pandemic is …
become a public health problem in China and even around the world. This pandemic is …
Virtual Healthcare Center for COVID‐19 Patient Detection Based on Artificial Intelligence Approaches
At the end of 2019, the infectious coronavirus disease (COVID‐19) was reported for the first
time in Wuhan, and, since then, it has become a public health issue in China and even …
time in Wuhan, and, since then, it has become a public health issue in China and even …
An FPGA-SoC based Hardware Acceleration of Convolutional Neural Networks
Deep learning has evolved as a discipline that has demonstrated its capacity and
usefulness in tackling complicated learning issues as a result of recent improvements in …
usefulness in tackling complicated learning issues as a result of recent improvements in …
Deep CNN Co-design for HEVC CU Partition Prediction on FPGA–SoC
Convolutional neural networks (CNNs) are widely used, due to their excellent performance,
in many computer vision applications, such as facial recognition, image classification tasks …
in many computer vision applications, such as facial recognition, image classification tasks …
Covid-19 Detection Using Deep Learning
CC Patgar, DD Patil, SH Rahate… - … Conference on Signal …, 2022 - ieeexplore.ieee.org
The fast and precise screening of suspected instances is limited due to a lack of resources
and tight test environment requirements. In rare circumstances of RT-PCR inspection …
and tight test environment requirements. In rare circumstances of RT-PCR inspection …
Analysis of Face Mask Detection through Machine Learning Techniques in Spread of COIVD-19
To distinguish individuals wearing face masks in observation settings like banks and ATMs,
this work will give a profound learning model to face mask recognition. Hoodlums and …
this work will give a profound learning model to face mask recognition. Hoodlums and …
[PDF][PDF] Face Mask Detection Using Machine Learning
According to the World Health Organization, the corona virus COVID-19 pandemic is
causing a worldwide health disaster, and the most effective preventative measure is to wear …
causing a worldwide health disaster, and the most effective preventative measure is to wear …
Ai Driven Face Mask Recognition For Real-Time Safety
P Kumar, S Pathela - Parineeta and., Era, 2024 - papers.ssrn.com
Wearing a face mask in public is the most effective preventive approach against the corona
virus COVID-19 pandemic, according to the World Health Organization (WHO), which is …
virus COVID-19 pandemic, according to the World Health Organization (WHO), which is …
[PDF][PDF] Forecasting the Risk Factors of COVID-19 through AI Feature Fitting Learning Process (FfitL-CoV19)
V Kakulapati, A Jayanthiladevi - Asian J. Adv. Res. Rep, 2023 - researchgate.net
In the present day situation, decreasing COVID-19 risk elements also can moreover need to
probably check the abilities to provide and test AI-primarily based total models for COVID-19 …
probably check the abilities to provide and test AI-primarily based total models for COVID-19 …