Condition Monitoring Using Computational Intelligence Methods

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

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides student

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

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

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

One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes.

"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

A concise introduction to computational methods for solving large linear systems of equations. This is an important classic textbook for researchers and students working in numerical linear algebra.

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

In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only gu

Migraine is a condition that Western medicine finds notoriously difficult to treat, and acupuncture, moxibustion and Tuina massage can all be effective methods of bringing about relief. This clear and

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and ava

Adapted from the best-selling Research Methods in Criminal Justice and Criminology, ESSENTIALS OF RESEARCH METHODS FOR CRIMINAL JUSTICE, 3/e teaches general research methods using standard and cont

With coverage that draws from diverse disciplines, Systems Engineering Tools and Methods demonstrates how, using integrated or concurrent engineering methods, you can empower development teams. Copiou

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

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

This volume gives a survey on mathematical and computational methods in image registration. During the last year sophisticated numerical models for registration and efficient numerical methods have be

Of interest to quantum physicists and high level researchers and students in the fields of quantum computing, artificial intelligence and human cognition, this volume examines the computational and ne

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

Business intelligence (BI) software allows you to view different components of a business using a single visual platform, which makes comprehending mountains of data easier. BI is everywhere. Applicat

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

Learn to create an effective business strategy using Microsoft's BI stack Microsoft Business Intelligence tools are among the most widely used applications for gathering, providing access to, and ana

"On September 22-23, 2009, the National Research Council held a workshop on the field evaluation of behavioral and cognitive sciences--based methods and tools for use in the areas of intelligence and

Don't get lost in research methods -- succeed in the class with RESEARCH METHODS IN SOCIAL WORK. This how-to book includes simplified, step-by-step instructions using real-world data and scenarios. Pl

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.

Constraints are everywhere: most computational problems can be described in terms of restrictions imposed on the set of possible solutions, and constraint programming is a problem-solving technique that works by incorporating those restrictions in a programming environment. It draws on methods from combinatorial optimisation and artificial intelligence, and has been successfully applied in a number of fields from scheduling, computational biology, finance, electrical engineering and operations research through to numerical analysis. This textbook for upper-division students provides a thorough and structured account of the main aspects of constraint programming. The author provides many worked examples that illustrate the usefulness and versatility of this approach to programming, as well as many exercises throughout the book that illustrate techniques, test skills and extend the text. Pointers to current research, extensive historical and bibliographic notes, and a comprehensive list