In a stimulating exploration of the role played by philosophy, logic, and science in the study of engineering, this book aims to rekindle creativity and innovation among budding engineers by advocating the rich benefits of a broader conceptual framework.

This book highlights the value of computational modeling as a research tool when investigating complex systems. It is dedicated to Dr. Peter Borwein for his contribution to research and education on his 60th birthday.

This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, effectiveness and personalization of the intelligent learning management systems-based blended-learning environment.

Complex problems usually cannot be solved by individual methods or techniques and require the synergism of more than one of them to be solved. This book presents a number of current efforts that use combinations of methods or techniques to solve complex problems in the areas of sentiment analysis, search in GIS, graph-based social networking, intelligent e-learning systems, data mining and recommendation systems. Most of them are connected with specific applications, whereas the rest are combinations based on principles. Most of the chapters are extended versions of the corresponding papers...

This book presents the modelling of the complex dynamics that drive the linked epidemiologies of crime, disease, homelessness and other social ills in urban neighborhoods.

Covering the 'biologically motivated computing paradigm', where biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems, this book focuses on the primary problems of Pattern Recognition by developing Artificial Immune System-based machine learning algorithms.

The success of a BCI system depends as much on the system itself as on the user's ability to produce distinctive EEG activity.

Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data.This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process.