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Elsevier

  • Robust Dynamic State Estimation of Power Systems

    • 1st book:metaData.edition
    • Junbo Zhao contributors.plusContributors
    • publicationLanguages:en
    Robust Dynamic State Estimation of Power Systems demonstrates how to implement and apply robust dynamic state estimators to problems in modern power systems, thereby bridging the literatures of dynamic state estimation and robust estimation theory. The book presents Kalman filter algorithms, demonstrating how to build powerful, robust counterparts. Following sections build out case study-based implementations of robust Kalman filters to decontextualized applications across dynamic state estimation in power systems. Coverage encompasses theoretical backgrounds, motivations, problem formulation, implementations, uncertainties, anomalies and practical applications, such as generator parameter calibration, unknown inputs estimation, control failure detection, protection, and cyberattack detection. Future research topics are identified and discussed, including open research questions. The book will serve as a key reference for power system real-time monitoring, control center engineers, and graduate students for learning (course related work) and research.

  • Ultrathin Polymer Films

    Confinement Effects and Structural Properties
    • 1st book:metaData.edition
    • Sabu Thomas contributors.plusContributors
    • publicationLanguages:en
    Ultrathin Polymer Films: Confinement Effects and Structural Properties brings together cutting-edge research into polymeric ultrathin films below 100nm, covering preparation, characterization, measurement of structural properties, and applications.The book begins by introducing polymer confinement and anomalous behavior, and then describes the latest techniques for the preparation and characterization of ultrathin film. Subsequent chapters provide detailed, methodical coverage of the various steps and key factors in the process, especially relating to properties, including glass transition behavior, density variation, dewetting and stability, effect of supercritical carbon dioxide, relaxation of the swollen polymer, and the structure and swelling of block copolymer thin films. Throughout the book, the authors address the existing discrepancies and challenges relating to the effect of confinement on structural properties and their measurement, and aim to guide the reader towards novel applications.This is a valuable resource for researchers and advanced students in polymer science, polymer chemistry, nanotechnology, materials science, and chemical engineering, as well as for engineers, scientists, and R&D professionals with an interest polymer-based ultrathin films for industrial applications.

  • Smart Cities: A System of Systems Perspective

    Engineering, Analytics, and Innovations for Sustainable Urban Development
    • 1st book:metaData.edition
    • Iman Rahimi contributors.plusContributors
    • publicationLanguages:en
    Smart Cities: A System of Systems Perspective offers a comprehensive exploration of System of Systems Engineering (SoSE) principles as they pertain to the development of smart cities. This multidisciplinary volume delves into how analytics and innovative technologies can transform urban environments, equipping readers with the knowledge to optimize city operations, enhance public services, and promote sustainable urban growth. With a blend of theoretical foundations, practical methodologies, and real-world examples, this book serves as an essential guide for anyone interested in the future of urban living.Structured into seven insightful parts, the book begins with the foundational concepts of SoSE and key principles of smart cities, exploring emergent behavior and interoperability. It then examines the integration of SoSE within urban infrastructure, highlighting the roles of IoT, AI, and machine learning. Subsequent sections focus on core technologies and analytical tools, including data analytics, predictive modeling, and decision support systems tailored for urban planning. Readers will also discover innovative solutions to pressing urban challenges, such as sustainability, cybersecurity, and governance, alongside detailed case studies showcasing successful smart city initiatives from around the globe.This book is invaluable for academics and researchers in urban studies, engineering, analytics, IoT, and AI, as well as data scientists and analytics professionals working with urban datasets. Graduate and postgraduate students in engineering, analytics, computer science, or urban studies will find it a crucial resource, while educators designing courses on smart cities or system analytics can leverage its insights to enhance their curriculum. Whether you are a policymaker, planner, or industry professional, Smart Cities: A System of Systems Perspective provides the tools and knowledge needed to navigate and shape the future of urban development.

  • LLMs in Practice

    Real World Applications, Challenges and Success Stories
    • 1st book:metaData.edition
    • Kiran Jot Singh contributors.plusContributors
    • publicationLanguages:en
    LLMs in Practice: Real World Applications, Challenges and Success Stories offers a deeply applied, interdisciplinary perspective on how Large Language Models (LLMs) are being integrated into the real world—spanning industries, healthcare, education, governance, mental health, creative domains, and intelligent systems. The book presents a blend of technical insights, sector-specific applications, governance frameworks, and ethical considerations. Designed for both academic and professional audiences, it equips readers to responsibly deploy LLMs while fostering innovation, equity, and scalability. LLMs in Practice: Real World Applications, Challenges & Success Stories addresses a significant gap in current literature by offering a focused and practice-oriented examination of how Large Language Models (LLMs) are being applied across diverse real-world domains. While there is widespread academic and public interest in generative AI, there exists no single resource that cohesively captures its deployment frameworks, sector-specific applications, ethical considerations, and pedagogical integration—especial... from a multidisciplinary and global perspective. This book provides deployment guidance, prompt optimization, and reliability strategies; governance frameworks, risk mitigation tools, and audit strategies; and offers case studies, instructional models, project templates, career-aligned examples, and skill-building paths.

  • Introduction and Applications of Machine Learning in Geotechnics

    • 1st book:metaData.edition
    • Zong Woo Geem contributors.plusContributors
    • publicationLanguages:en
    Introduction and Applications of Machine Learning in Geotechnics offers a comprehensive exploration of machine learning methodologies and their diverse applications in geotechnical engineering. The book begins with a detailed review of machine learning methods tailored for geotechnical applications, setting the foundation for subsequent chapters. Regression models are utilized to predict shear wave velocities while optimization-based approaches are employed to determine the optimal dimensions of reinforced concrete (RC) retaining walls. The book further explores the identification of gravelly soil through optimized machine learning models and predicts stress-strain responses using data from simple shear tests.Additionally, it outlines the forecasting of liquefaction events triggered by seismic activities and estimates the uniaxial compressive strength of soil using machine learning techniques. The prediction of vertical effective stress and specific penetration resistance is examined to enhance soil characterization and geotechnical analyses. The authors' provide valuable insights for geotechnical engineers and researchers seeking to leverage advanced computational tools for enhanced geotechnical assessments and design processes.

  • Photogrammetry Principles and Applications

    LiDAR 3D Point Cloud Intelligent Processing
    • 1st book:metaData.edition
    • Jonathan Li contributors.plusContributors
    • publicationLanguages:en
    Photogrammetry Principles and Applications: LiDAR 3D Point Cloud Intelligent Processing addresses the growing demand for advanced 3D point cloud processing in geospatial and Earth observation fields. With LiDAR technology playing a vital role in autonomous driving, smart cities, and environmental monitoring, this book offers a systematic overview of core algorithms, including 3D reconstruction, DEM generation, and semantic segmentation, utilizing cutting-edge artificial intelligence methods like deep learning and large language models. It combines foundational knowledge with practical case studies from diverse regions such as Toronto, Xiamen, and Nanjing, illustrating how these techniques are applied in real-world scenarios. The content spans hardware descriptions, software workflows, and algorithmic insights, making it suitable for both self-study and academic courses. Featuring templates, flow diagrams, step-by-step processes, and tables, the book ensures ease of cross-referencing and practical understanding. It empowers researchers, students, and industry professionals to process complex, massive point cloud data efficiently, leading to more accurate spatial analysis, environmental assessments, and urban planning. By integrating AI into traditional photogrammetric workflows, this volume paves the way for innovations in geospatial intelligence and autonomous systems.

  • Robust Model Predictive Control of Permanent Magnet Synchronous Motor Under Parameter Mismatch

    • 1st book:metaData.edition
    • Gongping Wu contributors.plusContributors
    • publicationLanguages:en
    Permanent magnet synchronous motors (PMSMs) are essential in electromechanical systems like urban rail vehicles and wind power generation, thanks to their fast torque response and wide speed range. Model predictive control (MPC) offers high accuracy and dynamic response, making it suitable for PMSMs. However, MPC relies on accurate motor parameters, which may vary over time, leading to mismatches that affect performance. These mismatches can cause unstable switching frequencies and increased torque/flux ripples, becoming a common fault in PMSM systems. This book presents improved MPC methods to enhance robustness against parameter mismatches. It aims to help researchers understand advanced motor control strategies and assist engineers in applying these algorithms effectively to improve the operational performance of industrial motor systems.

  • Dynamics of Marine Structures

    • 1st book:metaData.edition
    • Yingguang Wang
    • publicationLanguages:en
    The ability to estimate and characterize ocean and sea structures’ dynamic behavior under wave-excitation forces is an underlying element of contemporary, optimized marine engineering design. Taking an interdisciplinary approach, Dynamics of Marine Structures begins by outlining foundational concepts of stochastic wave theory to facilitate cardinal understanding of nonlinear dynamical systems in the marine environment that respond to complex interactions with a wide range of factors. It goes on to illustrate in detail up-to-date statistical methods and hydro-elastic numerical modeling techniques to accurately predict extreme responses and operating limits of marine structures, and it then concludes with comprehensive practical guidance for readers undertaking marine structural design work for a variety of structures, including ships, sea walls, vertical breakwaters, harbors, and offshore energy facilities.The volume also reviews literature and summarizes the latest applied research investigations for students, researchers, and professional engineers alike, paving the way for further advancements in next-generation marine construction in support of global sustainable development targets.

  • Structural Health Monitoring of Composite Structures with Artificial Intelligence

    • 1st book:metaData.edition
    • Wael A. Altabey
    • publicationLanguages:en
    Structural Health Monitoring of Composite Structures with Artificial Intelligence offers a comprehensive review of the application of AI in the SHM of composite structures. The book’s objective is to bridge the gap between traditional SHM approaches and the integration of advanced AI techniques, providing readers with foundational knowledge on composite materials, manufacturing processes, mechanical behavior, and state-of-the-art SHM methodologies. The book is timely and significant as composite structures are witnessing increasing use in critical infrastructure, aerospace, and industry, where real-time, intelligent monitoring is crucial for safety and maintenance. It covers new developments such as the use of machine learning, deep learning, and artificial neural networks in SHM, and illustrates the integration of non-destructive testing (NDT) methods with AI algorithms. The content structure follows logical progression: from basic material concepts, design, manufacturing and fabrication, through damage and failure modes, advanced SHM monitoring, probabilistic design concepts, and AI based schemes for SHM. A full chapter is also dedicated to applied case studies in pipelines, ducts and plates) using analytical, numerical, and simulation tools (ANSYS, MATLAB). The book’s key audience will include postgraduate students, academic researchers, and practicing engineers, who are working in civil, mechanical, materials, and aerospace engineering.

  • Adapting to Polluted Seas

    The Co-evolutionary History of Toxicants and Marine Life
    • 1st book:metaData.edition
    • Pedro M. Costa
    • publicationLanguages:en
    Adapting to Polluted Seas: The Co-evolutionary History of Toxicants and Marine Life presents an understanding of the effects pollution has on our seas and its ever-increasing threats and challenges. The book explains how pollution changes whole ecosystems, what makes some marine species more resilient, how contamination of global oceans is affecting the evolution of detoxification pathways, DNA repair and sex hormone regulation, how this affects paradigmatic methods for risk assessments, and more. This book is directed for a broad range of environmental scientists with its focus on how pollution is shaping marine ecosystems and forcing organisms to disappear, adapt or evolve.It can be used in teaching and training of young students and researchers, as well as in non-guided formation of non-academic technician and specialists (e.g. toxicologists, analysts and decision-makers). The compilation of critically-analyzed case studies makes this book an especially important asset that can assist decision-making and the design of monitoring programs.

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