This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys...

This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced unde...

The contributors to this collection share the premise that social and psychological elements of work practices are essential components of t...

Using bioinformatics methods to generate a systems-level view of the immune system; description of the main biological concepts and the new ...

Here's a practical, non-theoretical introduction to the principles, applications and benefits of multi-sensor technology used in smart weapo...

Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approa...

Advanced Control of Industrial Processes presents the concepts and algorithms of advanced industrial process control and on-line optimisatio...

This ALL NEW volume in the AI Game Programming Wisdom series is filled with over sixty new, ready-to-use expert techniques, ideas, and s...

Neural networks have influenced many areas of research but have only just started to be utilized in social science research. Neural Networks...

Modern medicine generates, almost daily, huge amounts of heterogeneous data. For example, medical data may contain SPECT images, signals lik...

The principles of adaptation to various environments have not yet been clarified. Furthermore, autonomous adaptation remains unsolved and a ...

Medical Informatics (MI) is an emerging interdisciplinary science that deals with clinical health–related information, its structure, ...