Condition Monitoring Using Computational Intelligence Methods

Human psychology is deeply rooted in the culture in which people live. Introduction to Computational Cultural Psychology introduces a revolutionary approach for studying cultural psychology. Drawing on novel computational tools and in-depth case studies, Professor Yair Neuman offers thought-provoking answers to questions such as: how are thought and language deeply related? How can computers help us to understand different cultures? How can computers assist military intelligence in identifying vengeful intentions? And how is our concept of 'love' rooted in our basic embodied experience? Written by a leading interdisciplinary researcher this book is a 'tour-de-force' which will be of interest to a variety of researchers, students and practitioners in psychology as well as an interdisciplinary audience with an interest in the intricate web weaved between the human psyche and its cultural context.

Living with diabetes is a balancing act. Monitoring blood glucose, food intake, and medication is complicated, so individuals with diabetes need to understand their condition and how best to control i

This is the first textbook to offer in one volume original simulations, exercises, and games designed by academics and intelligence professionals from several countries. These innovative methods are m

This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI’13) and Mathematical Methods from Brain Connectivity (MMBC’13), held under the auspices of t

"This book brings together recent advances and indepth knowledge in the fields of knowledge representation and computational intelligence, highlighting the theoretical advances and their applications

"This book presents current research on the applications of computational intelligence in order to focus on the challenge humans face when securing knowledge and data"--

"With special relation to smart grids, this book provides clear and comprehensive explanation of how Digital Signal Processing (DSP) and Computational Intelligence (CI) techniques can be applied to so

Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipp

In its second edition, this book surveys the changing landscape of philosophical logic, and shows how the computer science, artificial intelligence and computational linguistics fields have driven the

In DNA Electrophoresis: Methods and Protocols, expert researchers in the field detail many of the methods which are now commonly used to study DNA using electrophoresis as the major approach. A powerf

This new text surveys a series of fundamental problems in astrophysics, both analytically and computationally, for advanced students in physics and astrophysics. The contents are supported by more than 110 class-tested Mathematica® notebooks, allowing rigorous solutions to be explored in a visually engaging way. Topics covered include many classical and historically interesting problems, enabling students to appreciate the mathematical and scientific challenges that have been overcome in the subject's development. The text also shows the advantages and disadvantages of using analytical and computational methods. It will serve students, professionals and capable amateurs to master the quantitative details of modern astrophysics and the computational aspects of their research projects. Downloadable Mathematica® resources available at www.cambridge.org/koberlein.

Presenting the latest advances in computational intelligence, this book covers advanced design methodologies, algorithms and implementation techniques, including navigation, localization and mapping o

The combination of different intelligent methods is a very active research area in Artificial Intelligence (AI). The aim is to create integrated or hybrid methods that benefit from each of their compo

This volume collects state-of-the-art research, methods and new ideas on the subject of computational vision and medical image processing. As a result, the text contributes to developments in the fiel

"Preface This book has been written using notes developed for the course Numerical Methods for Chemical Engineers at Tulane University. The author has written two previous textbooks; one on FORTRAN pr

Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of metho

Mostly Swiss linguists, but also some German and Belgian, show that developing and using research methods in linguistics cannot be separated from analyzing methods, that is methodology. They discuss c

With a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. The three parts conveniently correspond to the three categories of desirable waveform properties: good aperiodic correlations, good periodic correlations and beampattern matching. The book features various application examples of using the newly designed waveforms, including radar imaging, channel estimation for communications, an ultrasound system for breast cancer treatment and covert underwater communications. In addition to numerical results, the authors present theoretical analyses describing lower bounds or limitations of performance. Focusing on formulating practical problems mathematically and solving the mathematical problems using efficient and effective optimization techniques, the text pays particular attention to developing easy-to-use computational approaches. Most algorithms are accom

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS

Nezlek (psychology, College of William and Mary, Virginia) introduces the motivations and methods for diary-style research for scholars who are interested in conducting research using diary methods, b

Computational methods for the modeling and simulation of the dynamic response and behavior of particles, materials and structural systems have had a profound influence on science, engineering and tech

To provide useful and meaningful information, long-term ecological programs need to implement solid and efficient statistical approaches for collecting and analyzing data. This volume provides rigorous guidance on quantitative issues in monitoring, with contributions from world experts in the field. These experts have extensive experience in teaching fundamental and advanced ideas and methods to natural resource managers, scientists and students. The chapters present a range of tools and approaches, including detailed coverage of variance component estimation and quantitative selection among alternative designs; spatially balanced sampling; sampling strategies integrating design- and model-based approaches; and advanced analytical approaches such as hierarchical and structural equation modelling. Making these tools more accessible to ecologists and other monitoring practitioners across numerous disciplines, this is a valuable resource for any professional whose work deals with ecologic

Therapeutic?Drug Monitoring: Newer Drugs and?Biomarkers?features timely topics such as the monitoring of classical and newer drugs, pharmacogenomics and the application of biomarkers in therapeutic dr

Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select

The textbook at hand aims to provide an introduction to the use of automated methods for gathering strategic competitive intelligence. Hereby, the text does not describe a singleton research disciplin

Providing an overview of the latest computational approaches to estimate rate constants for thermal reactions, this book addresses the theories behind various first-principle and approximation methods

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems.? The combination and interaction amongst operator

"Computer methods continue to be critical in the analysis, simulation, design and optimization of engineering processes and systems. Computational approaches are needed to solve the complex mathematic

Monitoring in Anesthesia and Perioperative Care is a practical and comprehensive resource documenting the current art and science of perioperative patient monitoring, addressing the systems-based practice issues that drive the highly regulated health care industry of the early twenty-first century. Initial chapters cover the history, medicolegal implications, validity of measurement and education issues relating to monitoring. The core of the book addresses the many monitoring modalities, with the majority of the chapters organized in a systematic fashion to describe technical concepts, parameters monitored, evidence of utility complications, credentialing and monitoring standards, and practice guidelines. Describing each device, technique and principle of clinical monitoring in an accessible style, Monitoring in Anesthesia and Perioperative Care is full of invaluable advice from the leading experts in the field, making it an essential tool for every anesthesiologist.

The increased level of activity on structural health monitoring (SHM) in various universities and research labs has resulted in the development of new methodologies for both identifying the existing d

Ferdjallah (modeling, analysis, and simulation; Old Dominion U., Virginia) introduces students and users to analytical and computational methods for modeling, synthesizing, and simulating digital prin

Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems provides an overview of the current modeling methods and applications enhancing interventional treatments and computer

Written as both a textbook and a handy reference, this text deliberately avoids complex mathematics assuming only basic familiarity with geodynamic theory and calculus. Here, the authors have brought together the key numerical techniques for geodynamic modeling, demonstrations of how to solve problems including lithospheric deformation, mantle convection and the geodynamo. Building from a discussion of the fundamental principles of mathematical and numerical modeling, the text moves into critical examinations of each of the different techniques before concluding with a detailed analysis of specific geodynamic applications. Key differences between methods and their respective limitations are also discussed - showing readers when and how to apply a particular method in order to produce the most accurate results. This is an essential text for advanced courses on numerical and computational modeling in geodynamics and geophysics, and an invaluable resource for researchers looking to master

Generating a quality finite element mesh is difficult and often very time-consuming. Mesh-free methods operations can also be complicated and quite costly in terms of computational effort and resource

Artificial intelligence and other intelligent systems heavily contribute to evolution and growth in the field of operations management.Intelligent Systems in Operations: Models, Methods, and Applicat

Thoroughly updated for its Second Edition, Fetal Monitoring Interpretation describes and illustrates the full range of patterns revealed by fetal monitoring and explains their clinical significance.

Autism was once thought of as a rare condition, until the Centers for Disease Control and Prevention’s Autism and Developmental Disabilities Monitoring Network released the statistic that about 1 in e

To create truly effective human-centric ambient intelligence systems both engineering and computing methods are needed. This is the first book to bridge data processing and intelligent reasoning metho

Variation-Aware Analog Structural Synthesis describes computational intelligence-based tools for robust design of analog circuits. It starts with global variation-aware sizing and knowledge extraction

Computational modeling can provide a wealth of insight into how energy flow in proteins mediates protein function. Computational methods can also address fundamental questions related to molecular sig