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  • Process Monitoring, Fault Diagnosis, and Tolerant Control for Complex Industrial Systems

    A Festschrift in Honor of Professor Steven X. Ding on the Occasion of His Retirement

    Edición de Hao Luo, Zhiwen Chen, Linlin Li ...
    Series series Intelligent Technologies and Robotics (R0)
    This open access book details fault diagnosis, prognosis, and tolerant control for complex industrial systems. It is also dedicated to Professor Steven X. Ding for his retirement. This book proposes data-driven quality-related fault diagnosis schemes based on space projection for linear/nonlinear systems. It also introduces credible and efficient fault prognosis techniques for complex industrial ... Leer más

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  • Understanding Deep Learning

    An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent ... Leer más

    $54.99 USD

  • The Science of Deep Learning

    de Iddo Drori ...
    The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning ... Leer más

    $54.99 USD

  • Informed Machine Learning

    Series series Cognitive Technologies
    This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of physical informed neural networks. The book is ... Leer más

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  • Analysis and Synthesis of Fault-Tolerant Control Systems

    In recent years, control systems have become more sophisticated in order to meet increased performance and safety requirements for modern technological systems. Engineers are becoming more aware that conventional feedback control design for a complex system may result in unsatisfactory performance, or even instability, in the event of malfunctions in actuators, sensors or other system components. ... Leer más

    $121.00 USD

  • Hypergraph Computation

    Series series Computer Science (R0)
    This open access book discusses the theory and methods of hypergraph computation.Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly ... Leer más

    Gratis

  • Continual and Reinforcement Learning for Edge AI

    Framework, Foundation, and Algorithm Design

    Series series Synthesis Collection of Technology (R0)
    This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance the AI at resource-limited edge devices. The authors introduce readers to practical frameworks and in-depth algorithmic foundations. The book surveys the recent advances in the area, coming from ... Leer más

    $44.99 USD

  • Capturing Connectivity and Causality in Complex Industrial Processes

    Series series Engineering (R0)
    This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems. Specifically ideas of connectivity and causality within and between elements of a complex system are treated; these ideas are of great importance in analysing and influencing mechanisms, structural properties and their dynamic behaviour, especially for fault diagnosis and hazard ... Leer más

    $49.99 USD

  • Artificial Intelligence in Manufacturing

    Concepts and Methods

    Edición de Masoud Soroush, Richard D Braatz ...
    Artificial Intelligence in Manufacturing: Concepts and Methods explains the most successful emerging techniques for applying AI to engineering problems. Artificial intelligence is increasingly being applied to all engineering disciplines, producing more insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for ... Leer más

    $179.99 USD

  • Multivariate Statistical Process Control

    Process Monitoring Methods and Applications

    Series series Engineering (R0)
    Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for process monitoring can help ... Leer más

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  • Neural Information Processing

    32nd International Conference, ICONIP 2025, Okinawa, Japan, November 20–24, 2025, Proceedings, Part III

    Series Libro 3 - Springer Nature Proceedings Computer Science
    The 6-volume set constitutes the refereed proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.The 197 full papers presented in this book were carefully selected and reviewed from 1092 submissions. ... Leer más

    $89.99 USD

  • Robust Adaptive Dynamic Programming

    Series series IEEE Press Series on Systems Science and Engineering
    A comprehensive look at state-of-the-art ADP theory and real-world applicationsThis book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic uncertainties.Traditional model-based approaches ... Leer más

    $106.00 USD