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Elsevier

Books in Physical sciences and engineering

  • Harmonizing Earth Observation Data for Enhanced Spatial Analysis

    • 1st Edition
    • Tomaž Podobnikar
    • English
    Harmonizing Earth Observation Data for Enhanced Spatial Analysis explores the critical aspects of Earth observation (EO) data and its pivotal role in spatial analysis. The book begins by addressing the quality aspects of EO data, emphasizing the importance of reliable and accurate information for meaningful analysis. It reviews the interaction and integration of various EO datasets, highlighting the necessity of combining diverse data sources to enhance analytical outcomes. The text covers essential techniques such as downsampling, generalization, and upsampling, providing insights into how these processes can optimize data usability while maintaining integrity. A significant focus is placed on harmonization, detailing strategies to reduce uncertainty and improve data consistency across multidimensional datasets. This harmonization is crucial for effective spatial analysis, which relies on coherent datasets to derive actionable insights. Additionally, the book discusses the interplay between EO and geospatial data, illustrating how their integration can enhance spatial analysis capabilities. It presents comprehensive workflows and tools that facilitate advanced spatial analysis, equipping researchers and practitioners with the necessary resources to harness EO data effectively. The book serves as a valuable resource to emphasize the importance of high-quality, integrated datasets in fostering informed decision-making and advancing research in environmental monitoring, urban planning, and resource management.

  • Design and Simulation of Conventional and Complex Distillation Systems

    • 1st Edition
    • Arturo Jiménez-Gutiérrez + 2 more
    • English
    Design and Simulation of Conventional and Complex Distillation Systems serves as a comprehensive guide to the design of conventional and complex distillation processes with a unique combination of conceptual design methods, validations via rigorous simulations, including visual descriptions and videos of the simulation tasks. This book provides a comprehensive overview of both conventional and complex distillation systems for the separation of multicomponent mixtures. It covers the fundamental principles, design methodologies, and simulation techniques required to effectively analyze and optimize these systems. This book combines conceptual design methods for different types of distillation systems with the validation steps that follow by using rigorous simulations, as well as the inclusion of detailed explanations and illustrative examples throughout to explain all concepts explored in each chapter. This book will be an invaluable guide chemical engineering students, researchers, and professionals who seek to deepen their understanding of distillation processes and enhance their knowledge to design and simulate efficient and modern distillation systems.

  • Cementitious Matrices for Low- and Intermediate-Level Radioactive Waste Immobilization

    • 1st Edition
    • Pavlo Kryvenko + 2 more
    • English
    Cement-based materials are integral to radioactive waste repositories, providing versatile solutions for diverse management and disposal strategies. Cementitious Matrices for Low- and Intermediate-Level Radioactive Waste Immobilization reports research progress in this context, reviewing both traditional solidification methodologies and state-of-the-art developments in cementation technologies that promise to fulfill safety functions more dependably and ensure closer compliance with environmentally conscious practices and regulations.The book proves to be a compelling resource for readers at various levels of familiarity with the topic both in academia and industry by tackling all facets of designing a waste form. It begins by classifying and characterizing radioactive wastes and explaining the chemistry of cementitious matrices, facilitating the choice of solidification agents and processing equipment. It offers guidelines for the selection of bonding materials, such as hydraulic cement or polymers, and discusses several admixtures and adsorbents to enhance embedding, binder properties, and contaminant stabilization. It also includes statistical techniques for generating response surface models for large, complicated applications and case studies that collate the international authoring team’s first-hand insights into optimized handling of immobilized waste forms.

  • Recycling of Solar PV Modules

    Techniques, Challenges, Policy, and Environmental Impact
    • 1st Edition
    • Md. Shahariar Chowdhury + 1 more
    • English
    Recycling of Solar PV Modules: Techniques, Challenges, Policy, and Environmental Impact offers a holistic resource that provides the reader with a nuanced understanding of the latest techniques and various other considerations in the recycling and environmental processing of solar photovoltaic modules. Beginning with an overview of solar energy and the life cycle of solar panels, the book offers detailed chapters focusing on solar cell types, challenges, recycling techniques, regulations and policy, environmental impact, and economic impact, as well as discussing how sustainability, economics, and innovation intersect in this area of increasing importance. This valuable resource will be of interest to all those with an interest in solar photovoltaics, end-of-life, recycling, and sustainability, including researchers, advanced students, faculty, engineers, R&D, scientists, and policy makers.

  • Advances in Carbohydrate Chemistry and Biochemistry

    • 1st Edition
    • Volume 89
    • English
    Advances in Carbohydrate Chemistry and Biochemistry, Volume 89 in this series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.

  • Healthcare 5.0

    Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data
    • 1st Edition
    • Yugal Kumar + 2 more
    • English
    Healthcare 5.0: Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data addresses the urgent need for innovation in today’s complex healthcare data landscape, characterized by pandemics, aging populations, and escalating chronic conditions. This book introduces the concept of ‘Healthcare 5.0’ as an interconnected, data-driven, and patient-centric framework, where advanced technologies—such as AI, ML, IoMT, Big Data, and Large Language Models (LLMs)—converge to optimize care, streamline operations, and deliver personalized, predictive solutions that meet real-world challenges. Comprising six comprehensive sections, the book moves from core AI applications in electronic health records, drug discovery, data management, and privacy, through cutting-edge big data analytics for precise disease forecasting and diagnosis. It explores new research advances in the Internet of Medical Things including connected device architectures and their fusion with AI for dynamic decision-making. The third section focuses on data analytics in telemedicine, remote care, system usability, and integration in Healthcare 5.0. The personalized healthcare section details analysis and applications in AI- and IoT-powered assistance, and real-time monitoring. The last section explores the development of LLMs and their applications in medical imaging, clinical decision support, predictive analytics, system architectures, as well as the ethical challenges of their deployment in healthcare. Healthcare 5.0: Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data serves as an essential resource for graduate students, researchers, and engineers in computer science, data science, and biomedical informatics. It bridges theory and practical application, offering interdisciplinary insights, foundational background, detailed case studies, and guidance on navigating the next generation of healthcare data systems. Whether for research or real-world innovation, readers gain the tools to design, analyze, and implement intelligent healthcare data solutions for a rapidly evolving digital era.

  • An Introduction to Applied Sport Analytics

    • 1st Edition
    • Jon Nachtigal + 1 more
    • English
    An Introduction to Applied Sport Analytics offers a step-by-step path for applying data-driven methods in sport. The book begins with the evolution of sport analytics and foundational concepts like the Pythagorean theorem, correlation, and regression, then moves into hands-on instruction with industry tools such as Excel, SQL, R, Python, and Power BI. Along the way, readers learn how to explore data, evaluate performance, and make informed decisions across team operations, player valuation, and sport business strategy. The book features real-world examples, chapter exercises, and review questions designed to reinforce key concepts through application. A dedicated section on data visualization walks readers through designing reports and dashboards using Power BI and Tableau. It also introduces the growing role of artificial intelligence in sport, showing how tools like machine learning and coding assistants can enhance analysis. A robust ancillary program also provides support to students with additional practice opportunities. With its practical focus and clear structure, An Introduction to Applied Sport Analytics is ideal for undergraduate and graduate courses in sport management, analytics, and business, as well as for professionals seeking to build essential skills in a data-driven sport industry.

  • SAR Oceanography

    Monitoring Oceanic Dynamics with Synthetic Aperture Radar
    • 1st Edition
    • Weizeng Shao
    • English
    SAR Oceanography: Monitoring Oceanic Dynamics with Synthetic Aperture Radar is an authoritative reference for scientists and professionals involved in marine remote sensing and oceanography. The book addresses the critical need for advanced techniques to observe and analyze ocean surface phenomena such as wind, waves, currents, internal waves, and oil spills using SAR technology. It emphasizes the importance of SAR in tropical cyclone monitoring, providing insights into high-resolution, all-weather, day-and-night observations essential for climate research, disaster response, and maritime safety. The content is divided into chapters covering SAR algorithms, applications in different oceanic processes, and recent technological developments. It offers practical case studies and validation methods, making it a valuable resource for researchers, meteorologists, environmental policymakers, and remote sensing specialists. This publication enhances understanding of ocean dynamics and supports sustainable marine management through cutting-edge SAR applications.

  • Integrated Modelling of Agrivoltaic Systems

    • 1st Edition
    • Pietro Elia Campana + 1 more
    • English
    Integrated Modelling of Agrivoltaic Systems provides an overview of approaches to model, simulate, and optimize agrivoltaics systems, integrating modelling of PV systems, shading, microclimate, and crop yield, and enabling the reader to navigate this highly inter-disciplinary area in order to meet their requirements and the needs of current and future policies. The book provides tools to build models that allow the assessment before installation of the energy, crop, and water performances of agrivoltaics systems, considers economic aspects, and introduces other key topics such as finding suitable areas for the deployment of agrivoltaic systems and assessment of the environmental impact compared to conventional PV systems and agriculture. This is a valuable resource for all those with an interest in agrivoltaic systems and their modelling, simulation, design, optimization, and development, including researchers, graduate students, faculty, engineers, R&D, developers, and other professionals.

  • Landslide Science

    Geospatial Advances in Monitoring, Modeling, and Management
    • 1st Edition
    • Christos Polykretis + 3 more
    • English
    Landslide Science: Geospatial Advances in Monitoring, Modeling, and Management presents a detailed exploration of the latest advancements in landslide research, offering a thorough examination of the latest geospatial technologies and methodologies. The book begins with a comprehensive exploration of landslides, starting with an understanding of their nature, including characteristics, types, and historical perspectives. Factors triggering or influencing landslides are examined, such as rainfall, earthquakes, and topographical influences. Remote sensing techniques for landslide investigation are detailed, covering detection, monitoring, and imagery data processing methods using various sensors and technologies. Spatial landslide assessment and mapping are discussed, including inventory mapping, susceptibility assessment, and hazard assessment utilizing different approaches and uncertainty validation methods. Engineering-based landslide analysis focuses on geotechnical aspects, hydrogeological influences, and methodologies for simulations and slope stability analysis. The book also addresses landslide impacts and risk management strategies, covering vulnerability assessment, risk analysis, environmental consequences, prevention, mitigation strategies, and community engagement. Advancing science and future directions in landslide research are explored, including trends in landslide occurrence, early warning systems, technological innovations, and remaining challenging issues in landslide science. This comprehensive guide offers valuable insights and strategies for understanding, assessing, and managing landslides for a more resilient future.

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