[HTML][HTML] Face mask detection in smart cities using deep and transfer learning: Lessons learned from the COVID-19 pandemic
After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does
not look to be ending soon for most countries across the world. To slow the spread of the …
not look to be ending soon for most countries across the world. To slow the spread of the …
[HTML][HTML] Impact of artificial intelligence on COVID-19 pandemic: a survey of image processing, tracking of disease, prediction of outcomes, and computational medicine
Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of
the scientific and technological tools employed to combat the COVID-19 pandemic. This …
the scientific and technological tools employed to combat the COVID-19 pandemic. This …
[HTML][HTML] Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey
Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential
role in controlling and slowing down the spread of the virus in smart cities. To ensure the …
role in controlling and slowing down the spread of the virus in smart cities. To ensure the …
[HTML][HTML] Face mask detection in COVID-19: a strategic review
With the outbreak of the Coronavirus Disease in 2019, life seemed to be had come to a
standstill. To combat the transmission of the virus, World Health Organization (WHO) …
standstill. To combat the transmission of the virus, World Health Organization (WHO) …
ANN assisted-IoT enabled COVID-19 patient monitoring
COVID-19 is an extremely dangerous disease because of its highly infectious nature. In
order to provide a quick and immediate identification of infection, a proper and immediate …
order to provide a quick and immediate identification of infection, a proper and immediate …
Integration of the enterprise information to facilitate decision making
The research objective is to apply business intelligence techniques to take advantage of an
existing system's conditions and increase the low-cost capabilities in its Extract, Transform …
existing system's conditions and increase the low-cost capabilities in its Extract, Transform …
Intelligent diagnosis of coronavirus with computed tomography images using a deep learning model
The coronavirus (COVID-19) disease appeared as a respiratory system disorder and has
triggered pneumonia outbreaks globally. As this COVID-19 disease drastically spread …
triggered pneumonia outbreaks globally. As this COVID-19 disease drastically spread …
Predictive Neural Networks Model for Detection of Water Quality for Human Consumption
R Chafloque, C Rodriguez… - 2021 13th …, 2021 - ieeexplore.ieee.org
Water is an important element that is related to the human being because drinking water is a
necessary element for health, also drinking water is considered as an element that also …
necessary element for health, also drinking water is considered as an element that also …
Processing of Images Based on Machine Learning to Avoid Unauthorized Entry
C Peña, C Rodriguez, IA Romero - 2022 14th International …, 2022 - ieeexplore.ieee.org
The proposal of a facial recognition system to increase security, through facial recognition
with multiple utilities such as facilitating the access of people with adequate protection …
with multiple utilities such as facilitating the access of people with adequate protection …
Classifying Different Types of Smokers and Drinkers by Analyzing Body Signals using Machine Learning
Alcohol consumption and smoking are one of the most leading preventable causes of
mortality worldwide. Timely detection can play a vital role to prevent these kinds of …
mortality worldwide. Timely detection can play a vital role to prevent these kinds of …