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] 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 …
A social distance estimation and crowd monitoring system for surveillance cameras
M Al-Sa'd, S Kiranyaz, I Ahmad, C Sundell, M Vakkuri… - Sensors, 2022 - mdpi.com
Social distancing is crucial to restrain the spread of diseases such as COVID-19, but
complete adherence to safety guidelines is not guaranteed. Monitoring social distancing …
complete adherence to safety guidelines is not guaranteed. Monitoring social distancing …
A survey on data-driven covid-19 and future pandemic management
The COVID-19 pandemic has resulted in more than 440 million confirmed cases globally
and almost 6 million reported deaths as of March 2022. Consequently, the world …
and almost 6 million reported deaths as of March 2022. Consequently, the world …
Visual recognition for urban traffic data retrieval and analysis in major events using convolutional neural networks
Accurate and prompt traffic data are necessary for the successful management of major
events. Computer vision techniques, such as convolutional neural network (CNN) applied …
events. Computer vision techniques, such as convolutional neural network (CNN) applied …
Covid-19 Social Distance Analysis Using Machine Learning
S Alsulami, D Alghamdi… - 2023 20th Learning …, 2023 - ieeexplore.ieee.org
According to the Ministry of Global Health, social distance is one of the most effective
defenses against COVID-19 and helps to prevent its spread. Governments have imposed …
defenses against COVID-19 and helps to prevent its spread. Governments have imposed …
Navigating the Future of Healthcare
RL Musunuri, A Bhatt - 2025 - igi-global.com
This chapter explores the transformative potential of large language models (LLMs) and
large vision models (LVMs) in healthcare. These technologies can comprehend and …
large vision models (LVMs) in healthcare. These technologies can comprehend and …
Investigating The Relationship Between Vehicle Speed and Pothole Detection by Using Mobile Phone
Ö Kaya, MY Çodur - Afyon Kocatepe Üniversitesi Fen Ve …, 2024 - dergipark.org.tr
It is known that road pavements are damaged due to time, climatic conditions and
construction errors. Considering these damages, the most important road defect that …
construction errors. Considering these damages, the most important road defect that …
Performance analysis of U-Net with hybrid loss for foreground detection
R Kalsotra, S Arora - Multimedia Systems, 2023 - Springer
With the latest developments in deep neural networks, the convolutional neural network
(CNN) has made considerable progress in the area of foreground detection. However, the …
(CNN) has made considerable progress in the area of foreground detection. However, the …
[PDF][PDF] Reinforcement Learning for Active Monitoring of Moving Equipment in 360-Degree Videos
Computer vision techniques have been introduced recently to assist with visual surveillance
of jobsite activities. However, multiple reality capture devices are needed to guarantee …
of jobsite activities. However, multiple reality capture devices are needed to guarantee …