Malware analysis and detection techniques have been evolving during the last decade as a
reflection to development of different malware techniques to evade network-based and host …

We propose a methodology for the recovery of lithologies from geological and geophysical
modelling results and apply it to field data. Our technique relies on classification using self …

The solutions proposed in this article are based on our experience with fuzzy systems (FSs),
their interpretability, and population-based algorithms (PBAs). They provide a consistent …

Many studies of animal distributions use habitat and climactic variables to explain patterns of
observed space use. However, without behavioral information, we can only speculate as to …

Climate change and global warming have serious adverse impacts on tropical forests. In
particular, climate change may induce changes in leaf phenology. However, in tropical dry …

The letter presents a dedicated method for recognizing human postures using classification
and clustering options. The ultimate goal of the research is to recognise human actions …

Abstract Analysis of large-scale traffic dumps in Network Forensics can be a complex and
non-trivial problem. This is an important step in collecting evidences and making threat …

Digital forensics is the digital equivalence of traditional crime investigations that leverages
digital technologies to facilitate criminal investigations. The expertise and previous …

Malware classification has become an important task in protection of privacy and sensitive
information from being stolen or modified. A number of malware categories and families …

Spatial global sensitivity analysis (SGSA) reveals and ranks the input–output relation in
spatial models. The SGSA output is twofold:(1) first‐order effects which are the linear …