Condition Monitoring Using Computational Intelligence Methods

The Historical Dictionary of Naval Intelligence relates the long and fascinating history of naval intelligence through a chronology, an introduction, a bibliography, and hundreds of cross-referenced d

Spanning biological, mathematical, computational, and engineering sciences, computational biofluiddynamics addresses a diverse family of problems involving fluid flow inside and around living organism

Structure-based (SBDD) and ligand-based (LBDD) drug design are extremely important and active areas of research in both the academic and commercial realms. This book provides a complete snapshot of the field of computer-aided drug design and associated experimental approaches. Topics covered include X-ray crystallography, NMR, fragment-based drug design, free energy methods, docking and scoring, linear-scaling quantum calculations, QSAR, pharmacophore methods, computational ADME-Tox, and drug discovery case studies. A variety of authors from academic and commercial institutions all over the world have contributed to this book, which is illustrated with more than 200 images. This is the only book to cover the subject of structure and ligand-based drug design, and it provides the most up-to-date information on a wide range of topics for the practising computational chemist, medicinal chemist, or structural biologist. Professor Kenneth Merz has been selected as the recipient of the 2010 A

It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on ch

It has long been claimed that there is a strong association between high intelligence, or exceptional creativity, and mental illness. In this book, James MacCabe investigates this claim, using evidenc

Mathematical modelling and computer simulation have proved tremendously successful in engineering. One of the greatest challenges for mechanists is to extend the success of computational mechanics to

"The first component of intelligence involves effective adaptation to an environment. In order to adapt effectively, organizations require resources, capabilities at using them, knowledge about the wo

Arabic is an exciting—yet challenging—language for scholars because many of its linguistic properties have not been fully described. Arabic Computational Linguistics documents the recent work of resea

Three authors identified only by name introduce methods for using video for research in the social sciences, particularly using audio-visual recordings to support the analysis of everyday social activ

In the face of so many unprecedented changes in our environment, the pressure is on scientists to lead the way toward a more sustainable future. Written by a team of ecologists, Monitoring Animal Popu

Trends in Computational Nanomechanics reviews recent advances in analytical and computational modeling frameworks to describe the mechanics of materials on scales ranging from the atomistic, through

This conference aims to bring biologists, medical and health-science researchers together with computational scientists to focus on problems at the frontier of computational life sciences. The confere

In recent years cosmologists have advanced from largely qualitative models of the Universe to precision modelling using Bayesian methods, in order to determine the properties of the Universe to high accuracy. This timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies, and is an essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics. The first part of the book focuses on methodology, setting the basic foundations and giving a detailed description of techniques. It covers topics including the estimation of parameters, Bayesian model comparison, and separation of signals. The second part explores a diverse range of applications, from the detection of astronomical sources (including through gravitational waves), to cosmic microwave background analysis and the quantification and classification of galaxy properties. Contributions from 24 highly regarded cosmologists and statisticians make

Computational Dynamics, 3rd edition, thoroughly revised and updated, provides logical coverage of both theory and numerical computation techniques for practical applications.The author introduces stud

Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is i

"Practical Aspects of Computational Chemistry" presents contributions on a range of aspects of Computational Chemistry applied to a variety of research fields.?The chapters focus on recent theoretical

Emotional Intelligence (EI), the ability to perceive, understand, manage, monitor, and use both one’s own and others’ feeling and emotions to guide future thinking and action is one of th

Fisch (Neurology, University of New Mexico) has brought together experts from major epilepsy centers to address all aspects of clinical epilepsy monitoring, including current procedures and applicatio

Adams (history and international relations, Sarah Lawrence College, Bronxville, New York) combines his interests in intelligence and counter-intelligence and in Germany to produce a reference for scho

Maximize productivity while minimizing environmental impactDevelop sustainable products, energy sources, and processes using the concepts and methods contained in this interdisciplinary resource. Bios

Based on a course on gas turbine engine controls developed and taught by the authors to Air Force, Navy, and Army engineers, this book covers the design of engine control and monitoring systems, for b

Spotlight on Modern Transformer Design introduces a novel approach to transformer design using artificial intelligence (AI) techniques in combination with finite element method (FEM). Today, AI is wid

Computational Optimal Control: Tools and Practice provides a detailed guide to informed use of computational optimal control in advanced engineering practice, addressing the need for a better understa

Argumentation in Artificial Intelligence examines the intersection between two fields of inquiry: Argumentation Theory and Artificial Intelligence. This book presents an overview of key concepts in a

This book covers a unique combination of scientific research and the practical demand for subsidence monitoring techniques focused on the satellite radar interferometry technique (InSAR). It covers t

This first volume of Computational Modelling of Aircraft and the Environment provides a comprehensive guide to the derivation of computational models from basic physical & mathematical principles, giv

The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches

The use of quantitative EEG (electroencephalography) for neurological monitoring and diagnosing neurological injury, as well as neurological and psychiatric disorders, is gaining acceptance among prof

Whether occurring accidentally or through acts of terrorism, catastrophic chemical releases must be identified early in order to mitigate their consequences. Continuous sensor monitoring can detect ca

Focusing on the practical clinical and statistical issues that arise in pharmaceutical industry trials, this book summarizes the author’s experience in serving on many data monitoring committees (DMCs

A model-based approach to the design and implementation of Computational Sensor Networks (CSNs) is proposed. This high-level paradigm for the development and application of sensor device networks pro

The book provides an elementary tutorial presentation on computational fluid dynamics (CFD), emphasizing the fundamentals and surveying a variety of solution techniques whose applications range from l

This much-needed critical review of the main monitoring techniques conveys profound knowledge of their fundamentals, possibilities and limits, strengths and weaknesses when applied to membrane process

Covering all aspects of structural health monitoring, this encyclopedia will prove an essential reference source for all engineers, engineering managers and scientists active in the field of structur

As new technologies develop, terrorist groups are developing new methods of attack by using the Internet, and by using cyberspace as a battlefield, it has become increasingly difficult to discover the

Health Monitoring of Bridges prepares the bridge engineering community for the exciting new technological developments happening in the industry, offering the benefit of much research carried out in t

This beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring essentially no background apart from mathematical maturity, the

In the Homeric Epics, important references to specific autonomous systems and mechanisms of very advanced technology, such as automata and artificial intelligence, as well as to almost modern methods

Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The selected articles are representative in the

Deals with new EC legislation – the Water Framework Directive; the main driver within Europe for groundwater monitoring which addresses integrated water resource management across 27 different c