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[HTML][HTML] Human activity recognition: Review, taxonomy and open challenges
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
Edge technologies for disaster management: A survey of social media and artificial intelligence integration
Within the paradigm of smart cities, smart devices can be considered as a tool to enhance
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …
A review on the role of machine learning in enabling IoT based healthcare applications
The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …
sector. The branch of IoT dedicated towards medical science is at times termed as …
[HTML][HTML] A new framework for deep learning video based Human Action Recognition on the edge
Nowadays, video surveillance systems are commonly found in most public and private
spaces. These systems typically consist of a network of cameras that feed into a central …
spaces. These systems typically consist of a network of cameras that feed into a central …
Disaster and pandemic management using machine learning: a survey
This article provides a literature review of state-of-the-art machine learning (ML) algorithms
for disaster and pandemic management. Most nations are concerned about disasters and …
for disaster and pandemic management. Most nations are concerned about disasters and …
Generative adversarial network based abnormal behavior detection in massive crowd videos: a Hajj case study
Hajj is an annual Islamic pilgrimage, which is attended by millions of pilgrims every year.
Therefore, there are many security management problems. The existing solutions can only …
Therefore, there are many security management problems. The existing solutions can only …
A review of video-based human activity recognition: theory, methods and applications
Video-based human activity recognition (HAR) is an important task in many fields, such as
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …
[PDF][PDF] Amalgamation of internet of things and machine learning for smart healthcare applications–a review
The Internet of Things or IoT is altering human adaption of hi-tech gadgets in daily life. IoT
applications are quite broad, ranging from vital applications such as smart cities and health …
applications are quite broad, ranging from vital applications such as smart cities and health …
Crowd descriptors and interpretable gathering understanding
Crowd gathering events deeply affect public safety. To enhance city management and avoid
potential risks, many algorithms are designed for crowd analysis and deployed on video …
potential risks, many algorithms are designed for crowd analysis and deployed on video …
Visual crowd analysis: Open research problems
Over the last decade, there has been a remarkable surge in interest in automated crowd
monitoring within the computer vision community. Modern deep‐learning approaches have …
monitoring within the computer vision community. Modern deep‐learning approaches have …