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  • Prognostics and Health Management for Intelligent Electromechanical Systems

    Series series Intelligent Technologies and Robotics (R0)
    This book gives a detailed introduction to the technical background, feature extraction methods, PHM models and big data embedding methods of the big data theory in PHM for intelligent electromechanical systems. Combination with deep learning and big data, this book explains the hybrid algorithm framework of PHM such as ensemble intelligence and optimized intelligence and introduces PHM models for ... Read more

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  • Smart Metro Station Systems

    Data Science and Engineering

    Smart Metro Station Systems: Data Science and Engineering introduces key technologies in data science and engineering for smart metro station systems. The book consists of three main parts, focusing on the environment, people and energy. Each chapter includes practical applications, along with information on metro traffic flow monitoring and passenger guidance, methods for behavior analysis and ... Read more

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  • Big Data in Energy Economics

    Series series Economics and Finance (R0)
    This book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the ... Read more

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  • Speaking Out: Issues and Controversies 各抒己见

    An Advanced Chinese Reader 汉语高级读本

    Speaking Out*: Issues and Controversies* 各抒己见 is an advanced Chinese language textbook that explores topics such as human nature, moral values, mass consumption, Western influences, and technological innovation. In presenting subjects that reflect major concerns in contemporary China, the book invites students to reflect upon the forces shaping modern Chinese society.This textbook presents ten ... Read more

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  • Data Science in Air Quality Monitoring

    Series series Earth and Environmental Science (R0)
    This book presents a series of state-of-the-art methods for air quality monitoring in various engineering environment by using data science. In the book, the data-driven key techniques of the preprocessing, decomposition, identification, clustering, forecasting and interpolation of the air quality monitoring are explained in details with lots of experimental simulation. The book can provide ... Read more

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    Advanced Forecasting Techniques and Optimal Generation Scheduling

    Edited by João P. S. Catalão ...
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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 ... Read more

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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... ... Read more

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  • Data-Driven Fault Detection and Reasoning for Industrial Monitoring

    Series Book 3 - Intelligent Control and Learning Systems
    This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and ... Read more

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  • Data Science for Wind Energy

    by Yu Ding ...
    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 ... Read more

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  • Applied Reliability Engineering and Risk Analysis

    Probabilistic Models and Statistical Inference

    Series series Quality and Reliability Engineering Series
    This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris ... Read more

    $158.00 USD

  • Extreme Learning Machines 2013: Algorithms and Applications

    Series series Engineering (R0)
    In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned ... Read more

    $89.09 USD