Inferring gene regulatory networks from expression data is essential in identifying complex
regulatory relationships among genes and revealing the mechanism of certain diseases …

Gene Regulatory Network (GRN) is formed due to mutual transcriptional regulation within a
set of protein coding genes in cellular context of an organism. Computational inference of …

The electronic speed governor plays an important role in diesel generator sets. The ideal
method for developing and debugging the electronic governor is to simulate the diesel …

In this work, a computational approach has been proposed based on the hybridisation of two
modelling formalisms, recurrent neural networks and half-systems, for the reconstruction of …

Genomic signal processing (GSP) is a functioning exploration area of recent times and a
settled technique of digital signal processing for gathering information from genomic …

IoT technology has been present for more than a decade but has shown rapid growth in
recent years, a process catalysed by advancements in sensors, smartphone technology and …

The study of modern seafloor hydrothermal activity and its mineralization has become one of
the focuses of global geoscience. Accurate prediction of possible seafloor hydrothermal …

This work focuses on multiple online adaptation processes used on an autonomous robot,
which is controlled by a Boolean Network; the goal is to adapt its behaviour to a specific …

Abstract Machine learning approaches and artificial neural network (ANN) are very popular
approaches to improve the efficiency in many fields including economics, biology, finance …

Reconstruction of gene regulatory network is a very pertinent problem to computational
biologist. GRN is crucial to understand the internal functions of a cell. The reconstruction of …