Software risk management is an important factor in ensuring software quality. Therefore,
software risk assessment has become a significant and challenging research area. The aim …

Detecting complex events from subsymbolic data streams (such as images, audio
recordings or videos) is a challenging problem, as traditional symbolic approaches cannot …

Industrial control systems play a central role in today's manufacturing systems. Ongoing
trends towards more flexibility and sustainability, while maintaining and improving …

Real-world systems often exhibit intricate complexity. Navigating and examining the
conditions under which these systems operate present various challenges. These systems …

Uncertainty-based sampling is one of the most successful and commonly used techniques in
active learning. The key element of this approach is an uncertainty function that measures …

With the rapid development of communication technologies, the demand for security and
automation of driving has promoted the development of the Internet of Vehicles (IoV). The …

The role of a service that is dedicated to road weather analysis is to issue forecasts and
warnings to users regarding roadway conditions, thereby making it possible to anticipate …

The efficient management and the sustainability of groundwater resources in mining areas
require the accurate identification of groundwater resources. Identification and prediction of …

This thesis presents three approaches to detecting situations of interest from non-symbolic
data inputs such as images, audio and video through the use of Complex Event Processing …

In this paper, advance diagnosis in power transformers, which is one of the most equipment
of power systems. Real gas data from Dissolve Gas Analysis has been used for fault …