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Elsevier

Books in Physical sciences and engineering

  • 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.

  • Weather and Climate

    Applications of Machine Learning and Artificial Intelligence
    • 1st Edition
    • Volume 13
    • Simon Driscoll + 6 more
    • English
    Weather and Climate: Applications of Machine Learning and Artificial Intelligence, Volume 13 provides a comprehensive exploration of machine learning in the context of weather forecasting and climate research. Sections begin with an introduction to the fundamentals and statistical tools of machine learning and an overview of various machine learning models. Emulation and machine learning of sub-grid scale parametrizations are discussed, along with the application of AI/ML in weather forecasting and climate models. Next, the book delves into the concept of explainable AI (XAI) methods for understanding ML and AI models, as well as the use of generative AI in climate research.The book explores the interface of data assimilation and machine learning for weather forecasting, showcasing case studies of machine learning applied to environmental monitoring data. Final sections look ahead to the future of ML and AI in climate and weather-related research, providing references for further reading. This comprehensive guide offers valuable insights into the intersection of machine learning, artificial intelligence, and atmospheric science, highlighting the potential for innovation and advancement in weather and climate research.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.

  • 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.

  • Safety and Reliability of Offshore Renewable Energies

    • 1st Edition
    • Rouzbeh Abbassi + 3 more
    • English
    Safety and Reliability of Offshore Renewable Energies is a thorough and up-to-date resource that investigates the critical aspects of risk and reliability, to ensure asset durability and long-term performance while developing safe operations in the dynamic and challenging context of offshore renewable energy systems. The book begins with an overview of offshore renewable energy systems, before offering systematic, detailed coverage of regulatory standards for safety and reliability, environmental impacts of operations, risk assessment and management, human factors and safety culture, optimization of infrastructure plans, asset management and maintenance, and decommissioning of offshore renewable infrastructure. This is followed by in-depth chapters focusing on reliability and safety in specific areas, including wind farms, offshore hydrogen, wave and tidal energy, and floating PV systems. Finally, safety and risk in multi-purpose and co-located offshore facilities, an important emerging trend, is discussed. With the additional aim of bridging the gap between industry and academia, this book is of interest to all those involved in offshore renewable energy, including researchers, students, faculty, engineers, consultants, industry professionals, and policy makers.

  • Trends and Strategies for Pulp and Paper Effluents Treatment

    Supporting Industrial Revolution 5.0
    • 1st Edition
    • Saakshy Agrawal + 2 more
    • English
    Trends and Strategies for Pulp and Paper Effluents Treatment: Supporting Industrial Revolution 5.0 presents a comprehensive exploration of innovative approaches to effluent treatment in the pulp and paper industry. The book addresses both conventional and advanced physico-chemical treatment methods, delves into the role of beneficial microorganisms, and highlights cutting-edge technological interventions for effective effluent detoxification. Its detailed contents cover critical topics such as the environmental impacts of the pulp and paper industry, lifecycle assessments of wastewater treatment technologies, and the techno-economic feasibility of various treatment methods.It also examines the application of artificial intelligence and machine learning in optimizing effluent treatment processes, alongside the potential of low-cost adsorbents and innovative technologies like membrane bioreactors. With a focus on nutrient recovery and decentralized treatment approaches utilizing Industry 4.0 advancements, it serves as a vital framework for understanding and implementing sustainable practices in the industry. Each chapter provides valuable insights into the latest findings and advancements, making it an essential resource for scholars and professionals alike.

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