Condition Monitoring Using Computational Intelligence Methods

This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistica

Intelligence is, by definition, a shadowy business. Yet many aspects of this secret world are now more openly analyzed and discussed, a trend which has inevitably prompted lively debate about intellig

Using methods from book history and print culture studies, Annotation in Eighteenth-Century Poetry explores the functions that annotation performed on and through the printed page. Studying the relati

Based on a course taught by the author, this book combines the theoretical underpinnings of statistics with the practical analysis of Earth sciences data using MATLAB. The book is organized to introduce the underlying concepts, and then extends these to the data, covering methods that are most applicable to Earth sciences. Topics include classical parametric estimation and hypothesis testing, and more advanced least squares-based, nonparametric, and resampling estimators. Multivariate data analysis, not often encountered in introductory texts, is presented later in the book, and compositional data is treated at the end. Datasets and bespoke MATLAB scripts used in the book are available online, as well as additional datasets and suggested questions for use by instructors. Aimed at entering graduate students and practicing researchers in the Earth and ocean sciences, this book is ideal for those who want to learn how to analyse data using MATLAB in a statistically-rigorous manner.

Examining the political foundations of American intelligence policy, this book develops a new theory of intelligence adaptation to explain the success or failure of major reform efforts since World War II. Durbin draws on careful case histories of the early Cold War, the Nixon and Ford administrations, the first decade after the Cold War, and the post-9/11 period, looking closely at the interactions among Congress, executive branch leaders, and intelligence officials. These cases demonstrate the significance of two factors in the success or failure of reform efforts: the level of foreign policy consensus in the system, and the ability of reformers to overcome the information advantages held by intelligence agencies. As these factors ebb and flow, windows of opportunity for reform open and close, and different actors and interests come to influence reform outcomes. Durbin concludes that the politics of US intelligence frequently inhibit effective adaptation, undermining America's securi

This reference is a brief introduction to the methods used in machine design. It uses a question and answer format to explain the key concepts in machine methods. Selected topics include: engineering

"This book explores the latest research on computational thinking (CT) in education. This book discusses and offers a detailed discussion about the definition of CT, its contribution to students durin

This volume presents a comprehensive overview of contemporary methods to analyze photorespiration in higher plants. Written in the highly successful Methods in Molecular Biology series format, chapter

Using ethnographic research methods, this book examines the religious vitality of two Christian intentional communities. The book argues that explanations of religious vitality are irreducible to one

Experimental Analysis of Enzyme Mechanism Using Isotope Effects, Volume 596, the latest release in the Methods in Enzymology series, continues the legacy of this premier serial with quality chapters a

Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an extremely heterogeneous and often challenging area of bioinfo

This volume is an excellent resource for professionals in various areas of applications of mathematics, modeling, and computational science. It focuses on recent progress and modern challenges in thes

For courses in Introductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humor Inspired by the 2016 GAISE Report revision, Intro Stats,

Shame and Creativity: From Affect Towards Individuation is about shame and the ways in which we can use creative methods to transform shame into a lifelong process of self-development. Using a Jungian

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustrationReaders will learn ho

Methods in Tau Cell Biology, Volume 141, the latest release in the Methods in Cell Biology series, looks at methods involved in tau cell biology. Edited by leaders in the field, this volume provides p

This volume presents a collection of computational and experimental protocols pertaining to the creation, characterization, and utilization of RNA nanostructures. The chapters in this book cover topic

A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the

A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for mark

This book discusses and conceptualizes practices on real-time strategy, focusing on the interplay between strategy and business intelligence. Combining strategic practices and business intelligence sy

Current techniques for studying biological macromolecules and their interactions are based on the application of physical methods, ranging from classical thermodynamics to more recently developed techniques for the detection and manipulation of single molecules. Reflecting the advances made in biophysics research over the past decade, and now including a new section on medical imaging, this new edition describes the physical methods used in modern biology. All key techniques are covered, including mass spectrometry, hydrodynamics, microscopy and imaging, diffraction and spectroscopy, electron microscopy, molecular dynamics simulations and nuclear magnetic resonance. Each method is explained in detail using examples of real-world applications. Short asides are provided throughout to ensure that explanations are accessible to life scientists, physicists and those with medical backgrounds. The book remains an unparalleled and comprehensive resource for graduate students of biophysics and

An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of arti

Media Ecology: An Approach to Understanding the Human Condition provides a long-awaited and much anticipated introduction to media ecology, a field of inquiry defined as the study of media as environm

This book explores what science fiction can tell us about the human condition in a technological world, with the ethical dilemmas and consequences that this entails. This book is the result of the joi

This volume, using multiple methods, seeks to bring together the best scholarship and insight—Jewish and Christian, past and present—that has contributed to our understanding and appreciation of the b

Melanie Holloway explores a cloud broker offering service level agreement negotiation and monitoring as a service to consumers. She proposes a negotiation mechanism, which enables the achievement of e

This landmark practical guide assists all those involved in monitoring detention conditions and investigating and preventing torture. The prestigious global author team identify the medical, legal and

A guide to state-of-the-art molecular tools for monitoring and managing the toxigenicity of cyanobacteria Runaway eutrophication and climate change has made the monitoring and management of toxigenic

This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key met

Science is fundamentally about learning from data, and doing so in the presence of uncertainty. This volume is an introduction to the major concepts of probability and statistics, and the computational tools for analysing and interpreting data. It describes the Bayesian approach, and explains how this can be used to fit and compare models in a range of problems. Topics covered include regression, parameter estimation, model assessment, and Monte Carlo methods, as well as widely used classical methods such as regularization and hypothesis testing. The emphasis throughout is on the principles, the unifying probabilistic approach, and showing how the methods can be implemented in practice. R code (with explanations) is included and is available online, so readers can reproduce the plots and results for themselves. Aimed primarily at undergraduate and graduate students, these techniques can be applied to a wide range of data analysis problems beyond the scope of this work.

This text is an introduction to methods of grid generation technology in scientific computing. Special attention is given to methods developed by the author for the treatment of singularly-perturbed e

This book provides an overview of the standard topics of numerical analysis but uses R as the underlying programming language. There are many textbooks for numerical analysis, many of them using MATLA

Welding refers to the science and practice of joining metals and thermoplastics by using fusion and related techniques like soldering and brazing. The most common methods associated with this area are

Computational electrodynamics is a vast research field with a wide variety of tools. In physics, the principle of gauge invariance plays a pivotal role as a guide towards a sensible formulation of the

Financial econometrics is an interdisciplinary subject that uses statistical methods and economic theory to address a variety of quantitative problems in finance. This compact, master's-level textbook focuses on methodology and includes real financial data illustrations throughout. The mathematical level is purposely kept moderate, allowing the power of the quantitative methods to be understood without too much technical detail. Wherever possible, the authors indicate where to find the relevant R codes to implement the various methods. This book grew out of a course at Princeton University which is one of the world's flagship programs in computational finance and financial engineering. It will therefore be useful for those with an economics and finance background who are looking to sharpen their quantitative skills, and also for those with strong quantitative skills who want to learn how to apply them to finance.

This text provides a concise and practical guide to timber design, using both the Allowable Stress Design and the Load and Resistance Factor Design methods. It suits students in civil, structural, and

Data is raw facts and figures and information is meaningful data that would be helpful for a person or company. Business intelligence extracts information from raw data through tools like data mining,

This volume brings together experts from different world regions. It presents various experiences with building indicator systems for monitoring the implementation of regional economic integration pol

This book is divided into two parts. In the first part we give an elementary introduction to computational physics consisting of 21 simulations which originated from a formal course of lectures and la

This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and eng