Condition Monitoring Using Computational Intelligence Methods

What can artificial intelligence teach us about the mind? If AI's underlying concept is that thinking is a computational process, then how can computation illuminate thin

Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics provides a unique picture of the complete ‘in-the-wild’ biometri

This report addresses and recommends potential methods for the Defense Intelligence Agency (DIA) to identify, hire, and organize data scientists.

Computer scientists, electronic engineers, information scientists, and business scholars summarize constituent paradigms underlying fuzzy and rough sets and evolutionary computational intelligence

This book provides information on best practices and new thinking regarding the validation of alternative methods for toxicity testing. It covers the validation of experimental and computational metho

This book focuses on the approximation of nonlinear equations using iterative methods, presenting nine contributions on the construction and analysis of the methods, including convergence, efficiency,

Do you have a nagging feeling that your monitoring could be improved, but you just aren’t sure how? This is the book for you. Monitoring Monitoring explains what makes your monitoring less than stella

This updated book includes meiosis methods ranging from classical genetic approaches with budding yeast to high resolution microscopy and computational methods for the analysis of recombination and mo

Solutions Manual to accompany Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel®

Ideal as a companion to a statistics or research methods text or as a stand-alone guide,Using SPSS for Social Statistics and Research Methods shows readers how to use images and directions drawn from

The development of new and superior materials is beneficial within industrial settings, as well as a topic of academic interest. By using computational modeling techniques, the probable application an

The first textbook on public health intelligence presents in depth the key concepts, methods, and objectives of this increasingly important competency. It systematically reviews types of evidence and

The book discusses the solutions to nonlinear ordinary differential equations (ODEs) using analytical and numerical approximation methods. Recently, analytical approximation methods have been largely

State-space models are a very flexible class of models used primarily in time series analysis. This book provides a synthesis of recent research in this area, with modern methods and computational gui

This book highlights the practical aspects of using Oracle Essbase and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. It explains the key steps involved in Ora

Solar Power Generation Problems, Solutions, and Monitoring is a valuable resource for researchers, professionals and graduate students interested in solar power system design. Written to serve as a pragmatic resource for solar photovoltaic power systems financing, it outlines real-life, straightforward design methodology. Using numerous examples, illustrations and an easy to follow design methodology, Peter Gevorkian discusses some of the most significant issues that concern solar power generation including: power output; energy monitoring and energy output enhancement; fault detection; fire and life safety hazard mitigation; and detailed hardware, firmware and software analytic solutions required to resolve solar power technology shortcomings. This essential reference also highlights the significant issues associated with large scale solar photovoltaic and solar power generation technology covering design, construction, deployment and fault detection monitoring as well as life safety

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

This book is devoted to the hybridization of intelligent systems which is a promising research field of modern computational intelligence concerned with the development of the next generation of intel

Get the tools you need to use SAS in clinical trial design! Unique and multifaceted, Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods, edited by Sandeep M. Men

This bundle includes Wagner: Using IBMR SPSSR Statistics for Research Methods and Social Science Statistics 5e andSPSS Version 23.0

This volume offers a thourough overview of groundwater pollution sources, tracing techniques, monitoring and measurement methods, aquifer protection and risk mitigation techniques.

This volume assembles a broad spectrum of methods used in long non-coding RNAs (lncRNA) research, ranging from computational annotation of lncRNA genes to molecular and cellular analyses of the functi

Recent developments in information processing systems have driven the advancement of computational methods in the engineering realm. New models and simulations enable better solutions for problem-solv

Personalized Immunosuppression in Transplantation: Role of Biomarker Monitoring and Therapeutic Drug Monitoringprovides coverage of the various approaches to monitoring immunosuppressants in transplan

This book presents various recent applications of Artificial Intelligence in Information and Communication Technologies such as Search and Optimization methods, Machine Learning, Data Representation a

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at the 8th International Conference on Computational Intelligence in Security for Information Systems (CISI

The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics.

This book presents a guide to building computational gene finders, and describes the state of the art in computational gene finding methods, with a focus on comparative approaches. Fully updated and e

This book describes the feasibility of using molecular dynamics as a screening technique to identify the stability of HydA1 and PetF interactions. Structure-based computational approaches are necessar

"This book presents a concise environmental resource focused on a Romanian region affected by the changing climate and discusses methods of assessment, monitoring, and prediction"--

This monograph presents computational techniques and numerical analysis to study conservation laws under uncertainty using the stochastic Galerkin formulation. With the continual growth of computer po

The book Intelligent Systems in Science and Information 2014 is the carefully edited collection of 25 extended chapters from selected papers in the field of Computational Intelligence that , which rec

The efficient solution of many important problems in applied geometry relies on the use of effective mathematical and computational tools. This book presents, using a light approach, a sampler of tool

This volume describes the methods of both in vivo and in vitro electroporation using ferrets, rats, mice, chickens, and zebrafish. Recent advances of experiments using the tetracycline-regulated gene

Control volume finite element methods (CVFEM) bridge the gap between finite difference and finite element methods, using the advantages of both methods for simulation of multi-physics problems in comp

This book presents methods for the computational solution of differential equations, both ordinary and partial, time-dependent and steady-state. Finite difference methods are introduced and analyzed i

This book presents methods for the computational solution of differential equations, both ordinary and partial, time-dependent and steady-state. Finite difference methods are introduced and analyzed i

Nursing Research Using Data Analysis: Qualitative Designs and Methods in Nursing is one book in a series of seven volumes that presents concise, how-to guides to conducting qualitative research -- for

Nursing Research Using Participatory Action Research: Qualitative Designs and Methods in Nursing is one book in a series of seven volumes that presents concise, how-to guides to conducting qualitative