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  • Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures

    Series series Engineering (R0)
    This book conducts effective research on data-driven Structural Health Monitoring (SHM), and accordingly presents many novel feature extraction methods by time series analysis and signal processing, to extract reliable damage sensitive features from vibration responses. In this regard, some limitations of time series modeling are dealt with. For decision-making, innovative distance-based novelty ... Leer más

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  • Principles Of Artificial Neural Networks (3rd Edition)

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    Series Libro 7 - Advanced Series In Circuits And Systems
    Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications ... Leer más

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  • Comprehensive Chemometrics

    Chemical and Biochemical Data Analysis

    Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications.This major reference work provides broad-ranging, validated summaries of the major topics ... Leer más

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  • Smart Process Plants: Software and Hardware Solutions for Accurate Data and Profitable Operations

    Data Reconciliation, Gross Error Detection, and Instrumentation Upgrade

    A Detailed Guide to the New Generation of Smart Process PlantsMaximize plant profitability by minimizing operating costs. Smart Process Plants addresses measurements and the data they generate, error-free process variable estimation, control, fault detection, instrumentation upgrade, and maintenance optimization, and then connects these activities to plant economics. Methods for calculating the ... Leer más

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  • Response Surface Methodology

    Process and Product Optimization Using Designed Experiments

    Series series Wiley Series in Probability and Statistics
    Praise for the Third Edition:“This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.”- Zentralblatt MathFeaturing a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments prese... ... Leer más

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  • Structural Health Monitoring

    A Machine Learning Perspective

    Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM.Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new ... Leer más

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  • Statistical Data Analytics

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    Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge DiscoveryA comprehensive introduction to statistical methods for data mining and knowledge discovery.Extensive solutions using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, ... Leer más

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  • Domino Effects in the Process Industries

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    Domino Effects in the Process Industries discusses state-of-the-art theories, conceptual models, insights and practical issues surrounding large-scale knock-on accidents—so-called domino effects—in the chemical and process industries. The book treats such extremely low-frequency phenomena from a technological perspective, studying possible causes and introducing several approaches to assess and ... Leer más

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  • Data Science for Wind Energy

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    Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including ... Leer más

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  • Machine Learning Techniques for Space Weather

    Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning community, offering a bridge between the fields. As this volume demonstrates, real advances in space weather can be ... Leer más

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  • Risk and Safety Analysis of Nuclear Systems

    The book has been developed in conjunction with NERS 462, a course offered every year to seniors and graduate students in the University of Michigan NERS program.The first half of the book covers the principles of risk analysis, the techniques used to develop and update a reliability data base, the reliability of multi-component systems, Markov methods used to analyze the unavailability of systems ... Leer más

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  • Advances in Machine Learning and Data Analysis

    Series series Engineering (R0)
    A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert ... Leer más

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