Providing an in-depth treatment of neural network models, this volume explains and proves
the main results in a clear and accessible way. It presents the essential principles of …

A novel optimisation technique inspired by natural ecosystems is presented, where the
optimisation works at two levels: a first optimisation, migration of services which are distributed in …

Much has been published on the functional properties of multi-agent systems (MASs) including
their co-ordination rationality and knowledge modelling. However, an important research …

We view Digital Ecosystems to be the digital counterparts of biological ecosystems. Here,
we are concerned with the creation of these Digital Ecosystems, exploiting the self-organising …

Crowd and evacuation management have been active areas of research and study in the
recent past. Various developments continue to take place in the process of efficient evacuation …

Challenging optimisation problems are abundant in all areas of science and industry. Since
the 1950s, scientists have responded to this by developing ever-diversifying families of ‘…

This paper presents the convergence analysis result of the discrete cosine transform-least-mean-square
(DCT-LMS) adaptive filtering algorithm which is based on a well-known …

An overview of data fusion approaches is provided from the signal processing viewpoint.
The general concept of data fusion is introduced, together with the related architectures, …

Crowd dynamics have important applications in evacuation management systems relevant
to organizing safer large scale gatherings. For crowd safety, it is very important to study the …

Hand gesture recognition with surface electromyography (sEMG) is indispensable for
Muscle-Gesture-Computer Interface. The usual focus of it is upon performance evaluation …