Genomic data holds huge potential for medical progress but requires strict safety measures
due to its sensitive nature to comply with data protection laws. This conflict is especially …

Uncertainty and interconnectedness in complex engineering and engineered systems such
as power-grids and telecommunication networks are sources of vulnerability compromising …

Continued dimensional and functional scaling of Complementary Metal-Oxide-
Semiconductor (CMOS) technology is driving information processing into a broadening …

Motivation Genome-wide association studies (GWAS) benefit from the increasing availability
of genomic data and cross-institution collaborations. However, sharing data across …

Over the last few years, an increasing number of publications has shown that living
organisms are very effective in finding solutions to complex mathematical problems which …

In this paper, a model based on Cellular Automata (CAs) for predicting wildfire spreading is
presented. The proposed model is inspired by existing fire spread models, but also includes …

During the past decades, computer science experts were inspired from the study of
biological organisms. Moreover, bio-inspired algorithms were produced that many times can …

With the explosion of protein sequences generated in the postgenomic era, it is highly
desirable to develop high-throughput tools for rapidly and reliably identifying various …

Many real data sets are imbalanced and contain a large number of a certain type of patterns,
but a very small number of another type of patterns. Normal classification methods, such as …

Cellular automata (CAs) have been widely used to model and simulate physical systems
and processes. CAs have also been successfully used as a VLSI architecture that proved to …