Background: Fog computing paradigm has recently emerged and gained increasing
attention in the present era of the Internet of Things. The growth of a large number of devices …

The aim of the work is to develop algorithms for analyzing video data in real time based on
computer vision methods, as well as deep learning technologies for artificial neural networks …

This research is built around extant theories on crime prevention through environmental
design. An extensive observational appraisal of Northbridge, Perth's premier entertainment …

Safety and security have been a prime priority in people's lives, and having a surveillance
system at home keeps people and their property more secured. In this paper, an audio …

Enhancing the fault tolerance of cloud systems and accurately forecasting cloud
performance are pivotal concerns in cloud computing research. This research addresses …

The emergence of edge computing allows the processing of data at the source of data. By
combining edge computing with the cloud and the Internet of Things (IoT), data collection …

Image reconstructions are a challenging task in MRI images. The performance of the MRI
image can be measure by following parameters like mean squared error (MSE), peak signal …

Surveillance cameras play a key role in monitoring and ensuring security. These cameras
generate a vast amount of data. Hence, manual monitoring of these feeds is very much …

The large-scale model training is typically slower and necessitates high-performance
workstations and Distributed Deep Learning (DDL). The DDL models trained on a massive …

In this era where technology is an inseparable trait, the rates of various crimes have been
materially escalating. It is upon logical solutions rather than upon the crime that should be …