This book presents strategic perspectives on quality and flexibility, as well as quantitative tools for assessing their implementation in a range of systems.

Reflecting cutting-edge research on computational methods - including theory, algorithms, numerical simulation, error and uncertainty analysis, and their applications - the book offers a valuable resource for doctoral students and researchers in the fields of Computer Science and Engineering.

The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas.

This book offers comprehensive information on all aspects of ELISA, starting with the fundamentals of the immune system. Accordingly, the book provides cutting-edge information on integrated platforms such as ELISpot, plasmonic ELISAs, sphere-/bead-based ELISAs, paper-/fiber-based ELISAs and ELISA in micro-devices.

This book explores the use of various plant polysaccharides for pharmaceutical purposes, including drug delivery.

This book describes a new pattern discovery approach based on the combination among rules between Perceptually Important Points (PIPs) and the Symbolic Aggregate approximation (SAX) representation optimized by Genetic Algorithm (GA).

The asymptotic limit theorems of control and information theories make it possible to explore the dynamics of collapse likely to afflict large-scale systems of autonomous ground vehicles that communicate with each other and with an embedding intelligent roadway.

This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples.