Surveillance cameras have recently been utilized to provide physical security services
globally in diverse private and public spaces. The number of cameras has been increasing …

Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …

This paper provides a comprehensive survey of anomaly detection for the Internet of Things
(IoT). Anomaly detection poses numerous challenges in IoT, with broad applications …

Heart disease, alternatively known as cardiovascular disease, is the primary basis of death
worldwide over the past few decades. To make an early diagnosis, a data-driven prediction …

Clustering is a set of essential mathematical techniques in artificial intelligence and machine
learning for analyzing massive amounts of data generated by applications. Clustering uses …

Air pollution has a significant impact on environment resulting in consequences such as
global warming and acid rain. Toxic emissions from vehicles are one of the primary sources …

Artificial intelligence research in the stock market sector has been heavily geared towards
stock price prediction rather than stock price manipulation. As online trading systems have …

Traditional highway safety and monitoring solutions, reliant on surveillance cameras, face
limitations due to their dependence on high-speed internet connectivity and the remote …

Recent technological advancements have enabled generating and collecting huge amounts
of data in a daily manner. This data is used for different purposes that may impact us on an …

Detection of abnormal events in the traffic scene is very challenging and is a significant
problem in video surveillance. The authors proposed a novel scheme called super …