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Elsevier

Books in Physical sciences and engineering

  • Power Valorization to Gas Chemicals

    Exploring the Membrane Technology Role
    • 1st Edition
    • Angelo Basile + 1 more
    • English
    Power Valorization to Gas Chemicals: Exploring the Membrane Technology Role addresses the significant knowledge gap in the understanding of power-to-gas technologies, processes, and applications. The book offers solutions to the technical challenges and barriers that need to be overcome for widespread adoption, also providing an overview of conventional and emerging technologies in the field. In addition, it explores the current state of technology, discusses ongoing research, and proposes potential solutions to address technological challenges. Users will find existing policies, highlights of successful regulatory frameworks, and proposed policy recommendations to facilitate the growth of power-to-gas initiatives.Economic considerations, including cost analyses, financial models, and potential revenue streams are also explored. Offering case studies and best practices for the integration of power-to-gas systems into energy grids, the book also addresses environmental considerations, exploring lifecycle assessments, carbon footprints, and sustainability aspects associated with power valorization to gas.

  • Machine Learning Applications in Structural Engineering

    • 1st Edition
    • Rahul Biswas + 2 more
    • English
    Machine Learning Applications in Structural Engineering is a practical guide to machine learning in structural engineering. With first-hand examples of machine learning applications, this book is a vital reference for both entry-level readers and advanced professionals. For experts, the book offers insights into emerging applications that are shaping the future of the discipline, making it a compelling choice for engineers looking to leverage machine learning for smarter, more resilient structural solutions. This accessible style makes complex concepts manageable, and the book offers clear explanations while showcasing the potential of machine learning as a versatile tool for advancing structural engineering practices.It is aimed at engineers, researchers, and students with an interest in integrating new, machine learning technologies into daily practice. Readers will find a balance of foundational theory with hands-on, data-driven solutions tailored to meet real-world demands.

  • The Deterministic Universe

    Exploring Chaos, Free Will, Prediction, and Modeling
    • 1st Edition
    • Paul A. Gagniuc
    • English
    The Deterministic Universe: Exploring Chaos, Free Will, Prediction, and Modeling equips readers with the tools to learn the foundational concepts of chaos, randomness, and determinism through examples and applied case studies. The book helps readers gain insight into how deterministic algorithms handle complex, chaotic data, providing an interdisciplinary exploration of chaos theory, determinism, and free will, grounded in scientific principles, computational models, and philosophical insights. The content builds on established theories in physics, bioinformatics, and systems biology, weaving them into broader existential questions. The material emphasizes the interplay between randomness, noise, and order, providing a fresh lens to view the universe and our place within it. The book connects these ideas to practical tools like random number generators and nonlinear equations, machine learning algorithms, computational and predictive models, extending their implications to biological systems, human thought, and decision-making. By addressing both scientific fundamentals and philosophical debates, the book bridges abstract ideas with real-world phenomena and demonstrates the role of randomness and noise in predictive models and simulations, helping readers understand the limits of computational systems in mimicking real-world processes.

  • 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.

  • 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.

  • Remote Sensing and Climate Dynamics

    Monitoring Impacts, Understanding Change, and Guiding Solutions
    • 1st Edition
    • Biswajeet Pradhan + 2 more
    • English
    Remote Sensing and Climate Dynamics: Monitoring Impacts, Understanding Change, and Guiding Solutions delivers a thorough exploration of how remote sensing technologies are revolutionizing climate science by providing critical data to observe and analyze Earth's changing climate system. The book begins by establishing the urgency of climate change monitoring and the unique advantages of remote sensing, followed by an in-depth review of the climate system’s key processes, feedbacks, and drivers. It details the wide array of remote sensing tools, sensors, and platforms that enable precise measurement of atmospheric, oceanic, and terrestrial variables. The text examines how remote sensing tracks essential climate indicators such as surface and atmospheric temperatures, precipitation, soil moisture, cryosphere dynamics, sea level changes, and ocean health. It further explores the impacts of climate change on terrestrial ecosystems, coastal zones, and human settlements, highlighting methodologies for assessing vulnerability and resilience. The book also addresses how remote sensing supports climate mitigation efforts through carbon cycle monitoring and emission verification, while aiding adaptation planning via risk assessments and early warning systems. Supplementary appendices provide valuable resources on terminology, satellite missions, and data workflows. This comprehensive volume equips scientists and professionals with the knowledge and tools necessary to harness remote sensing for effective climate monitoring, impact assessment, and informed decision-making.

  • 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.

  • Catalysis with Sub-Nanometer Metal Clusters

    A new tool for Synthetic Chemistry
    • 1st Edition
    • Antonio Pérez-Gálvez + 1 more
    • English
    Catalysis with Sub-Nanometer Metal Clusters: A new tool for Synthetic Chemistry provides a comprehensive overview of the latest developments in sub-nanometer metal clusters as catalysts, targeting researchers and professionals involved in sustainable chemistry, catalysis, and industrial process optimization. It is designed for chemists, materials scientists, chemical engineers, and industrial practitioners seeking to understand the unique size-dependent properties of metal clusters and their applications in key chemical transformations such as hydrogen production, oxidation, and C–C coupling reactions. The book bridges fundamental science with practical applications by offering detailed reaction mechanisms, structure–activity relationships, and innovative synthetic strategies for catalyst preparation. Its visual content—including diagrams, flow charts, and high-quality color figures—enhances clarity, making complex concepts accessible for quick reference and effective learning.

  • Process Intensification for Carbon Capture and Utilization

    • 1st Edition
    • Suttichai Assabumrungrat + 2 more
    • English
    Process Intensification for Carbon Capture and Utilization provides a comprehensive review of carbon dioxide capture and utilization (CCU) technologies from a process engineering approach, focusing on the concept of process intensification to enhance sustainability and efficient chemical process and process design. This book begins with a brief theoretical overview of CCU process design, then builds up to chapters on practical guidance – offering case studies and real-world applications of process intensification for achieving environmental sustainability goals, reduction of carbon emissions, and creation of value-added products from captured CO2. The book will also highlight the advancement in development of methodologies and tools of Process Systems Engineering (PSE) for the design of CCU processes, including process design outlines and worked examples. The book is suitable for a wide audience in academia and industry interested in CCU technologies. It is valuable for students, research scientists, engineers, and practitioners seeking an overview or in-depth knowledge on CCU. Additionally, the book's content can be used as teaching resources for advanced courses.

  • Density Functional Theory Approach for Advances in Energy Storage Materials

    • 1st Edition
    • Amritanshu Shukla + 2 more
    • English
    Density Functional Theory Approach for Advances in Energy Storage Materials presents cutting-edge insights into the application of Density Functional Theory (DFT) in energy storage research. The book covers a wide range of topics, from the fundamentals of energy storage materials to computational methods and specific studies on battery materials, supercapacitors, solid-state electrolytes, thermochemical energy storage, thermoelectric materials, hydrogen storage, perovskites for solar energy harvesting, and more. It also explores multi-scale modeling approaches, novel energy storage concepts, challenges, future directions, and real-world case studies.This book not only provides an overview of DFT principles and their applications in energy storage but also covers specific areas such as electrode materials for lithium-ion batteries, supercapacitors, and solid-state electrolytes. By addressing key challenges, offering future research opportunities, and showcasing practical applications in renewable energy, transportation, and consumer electronics, this book aims to bridge the gap between theory and practice in the field of energy storage materials.

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