Globally, the occupational health and safety (OHS) of construction workers has long been a
serious concern. To address this issue, there is an urgent need for an efficient means to …

Since 2008, a variety of systems have been designed to detect events in security cameras.
There are also more than a hundred journal articles and conference papers published in this …

The action analysis and semantic interpretation of images have recently attracted increased
attention in the field of computer vision. However, it is difficult for an intelligent monitoring …

Video Surveillance (VS) systems are commonly deployed for real-time abnormal event
detection and autonomous video analytics. Video captured by surveillance cameras in real …

The ubiquitous presence of surveillance systems generates massive amounts of video data.
Storage and analysis of this data in real-time is a substantial challenge. There is huge …

Video data is highly expressive and has traditionally been very difficult for a machine to
interpret. Querying event patterns from video streams is challenging due to its unstructured …

Due to the increase in surveillance systems, there is a massive increase in surveillance
data. As of now, the key challenge for video surveillance systems is analyzing these large …

Dynamic monitoring and management of traffic is a significant challenge which requires a
mobile surveillance system which is becoming feasible with the evolution of 5G and related …

Complex Event Processing (CEP) is a paradigm to detect event patterns over streaming data
in a timely manner. Presently, CEP systems have inherent limitations to detect event patterns …

Gas-Net: A deep neural network for gastric tumor semantic segmentation Page 1 AIMS
Bioengineering, 9(3): 266–282. DOI: 10.3934/bioeng.2022018 Received: 20 May 2022 …