Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.
In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks.
Commentaries by the editors to this comprehensive anthology in the area of physics-based vision put the papers in perspective and guide the reader to a thorough understanding of the basics of the field.
Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems supplies a rigorous framework for studying the analysis, stability, and control problems of LSS.
This book proposes an integrated design method for intelligent adaptive controllers to overcome the negative effects of various constraints on nonlinear systems and nonlinear multiagent systems in practical applications.
This book proposes an integrated design method for intelligent adaptive controllers to overcome the negative effects of various constraints on nonlinear systems and nonlinear multiagent systems in practical applications.
,Become the most competitive and dynamic knowledge based economy in the world by 2010, is the major objective of the Lisbon strategy for the European Community.
Methods Used to Solve Discrete Math ProblemsInteresting examples highlight the interdisciplinary nature of this areaPearls of Discrete Mathematics presents methods for solving counting problems and other types of problems that involve discrete structures.
Despite the large volume of publications devoted to neural networks, fuzzy logic, and evolutionary programming, few address the applications of computational intelligence in design and manufacturing.
The author compiles everything a student or experienced developmental engineer needs to know about the supporting technologies associated with the rapidly evolving field of robotics.
This volume encompasses many new types of constraints and clustering methods as well as delivers thorough coverage of the capabilities and limitations of constrained clustering.
Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments.
Commentaries by the editors to this comprehensive anthology in the area of physics-based vision put the papers in perspective and guide the reader to a thorough understanding of the basics of the field.
Mathematical Modelling of Aerospace Dynamic Systems with Practical Applications provides mathematical models for several aerospace dynamic systems: aircraft, rotorcraft, missiles, unmanned aerial vehicles (UAVs), mini air vehicles (MAVs), autonomous underwater vehicles (AUWVs), and satellite-coordinate systems.
This book aims to provide a systematic approach to the design, assessment, operation, and maintenance of safety barriers that are used for preventing accidents and protecting humans, equipment, and the environment.
The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering.
Unlike most engineers, system engineers focus on the knowledge base needed to develop good systems in a cross-functional fashion rather than deeply on isolated topics.
As multicriteria decision-making (MCDM) continues to grow and evolve, machine learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems.
Achieving state-of-the-art excellence and attaining the cost reductions associated with outstanding logistics efforts is an obvious gain in terms of competitive edge and profitability.
Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media.
Finance Transformation: Leadership on Digital Transformation and Disruptive Innovation is a general and wide-ranging survey of finance transformation and emerging technologies.
This book presents a novel method of multimodal biometric fusion using a random selection of biometrics, which covers a new method of feature extraction, a new framework of sensor-level and feature-level fusion.
This book focuses on an eminent technology called next generation sequencing (NGS) which has entirely changed the procedure of examining organisms and will have a great impact on biomedical research and disease diagnosis.
Shipboard Propulsion, Power Electronics, and Ocean Energy fills the need for a comprehensive book that covers modern shipboard propulsion and the power electronics and ocean energy technologies that drive it.