Digital forensics (DF) has become a substantial process to perform in depth investigations.
But due to the digitalization, the potential Data volumes are increasing and hence it has …

Disaster management operations are information intensive activities due to high uncertainty
and complex information needs. Emergency response planners need to effectively plan …

Recently, as computer vision and image processing technologies have rapidly advanced in
the artificial intelligence (AI) field, deep learning technologies have been applied in the field …

As a result of the popularity of smart mobile devices and the low cost of surveillance
systems, visual data are increasingly being used in digital forensic investigation. Digital …

The policing landscape is changing. Systems and technologies labelled as 'predictive'and
'artificial intelligence'(AI) are growing in prominence and at an unprecedented rate. Powerful …

Automatic recognition of facial images showing erotic expressions can help to understand
our social interaction and to detect non-appropriate images even when there is no …

The accuracy of fish farming and real-time monitoring are essential to the development of
“intelligent” fish farming. Although the existing instance segmentation networks (such as …

Digital forensics of visual-based evidence from video surveillance systems and forensic
photographs holds object detection as a key aspect of the process. Recognizing an instance …

Convolutional neural network (CNN) models are typically composed of several gigabytes of
data, requiring dedicated hardware and significant processing capabilities for proper …

Face recognition is a valuable forensic tool for criminal investigators since it certainly helps
in identifying individuals in scenarios of criminal activity like fugitives or child sexual abuse. It …