The field of cyber risks is rapidly expanding, yet significant research remains to be
conducted. Numerous taxonomy‐based systems have been proposed in both the academic …

Problem-solving skills are highly valued in modern society and are often touted as core
elements of school mission statements, desirable traits for job applicants, and as some of the …

Companies generate terabytes of raw, unstructured data daily, which requires processing
and organization to become valuable data assets. In the era of data-driven decision-making …

Large Language Models (LLMs) have become widely adopted recently. Research explores
their use both as autonomous agents and as tools for software engineering. LLM-integrated …

Classification aids software development activities by organizing requirements in classes for
easier access and retrieval. The majority of requirements classification research has, so far …

Previous research in software application domain classification has faced challenges due to
the lack of a proper taxonomy that explicitly models relations between classes. As a result …

Digital Twins are a key concept for the industry 4.0 and they are also becoming increasingly
important in the construction industry. For the application in construction practice, the paper …

There is little information on the descriptive level of scientific research, especially in the field
of social sciences, because it is linked to correlational studies, or it is simply not developed …

Anomaly detection is the process of discovering unusual or rare patterns in data that are
significantly different from the rest of the observations in a dataset. The importance of the …

The thesis examines the early phases of preparing a large documentation set for future
solutions from the point of view of the evaluation of a use case taxonomy. The …