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Elsevier

Books in Physical sciences and engineering

  • Distributed AI in the Modern World

    Technical and Social Aspects of Interacting Intelligent Agents
    • 1st Edition
    • Andrei Olaru + 3 more
    • English
    Distributed AI in the Modern World: Technical and Social Aspects of Interacting Intelligent Agents presents state-of-the-art insights into the various forms of distribution of artificial intelligence, with practical application instances. Sections provide readers with practical solutions at an architectural level, with solutions presented on the distribution of the learning process and the utilization of machine learning models in a distributed system, tools that enable the distribution and interaction of artificial learning entities, how multi-agent systems and machine learning can be combined, the physical embodiment of intelligent agents, and the interaction of intelligent computing units bound to physical space.Following sections emphasize the challenges that are common to all scenarios and solutions that apply in a wider range of cases. This book does not analyze the internal workings of machine learning models (for instance, in the case of multi-agent reinforcement learning), but instead provides readers with an overview of the challenges brought by the need of artificially intelligent entities to interact with other entities and with their environments, along with practical solutions at an architectural level.

  • New Economics for Sustainability

    Time for Transformation
    • 1st Edition
    • Angeliki Menegaki
    • English
    New Economics for Sustainability: Time for Transformation offers a timely and critical examination of sustainability and economics. Each chapter provides fresh insights into sustainability, offering both a critical assessment of the present and a roadmap for redefining how economic agents can collaborate to protect the environment, strengthen societal bonds, and measure genuine progress. This book serves the crucial purpose of consolidating the latest research and insights on sustainability, addressing the growing need for a cohesive resource in a world where sustainability is a core aspect of governance, economics, and societal well-being.It presents a systematic approach to the often fragmented and ever-evolving field of sustainability, allowing readers to reevaluate past achievements and future challenges, thus making it an essential tool for comprehending and navigating the intricate web of issues shaping our sustainable future.

  • From the Catchment to Coast in Japan

    The Past, the Present, and the Future of Japanese Water Resources and Human Activities
    • 1st Edition
    • Takashi Asaeda + 3 more
    • English
    From the Catchment to Coast in Japan: The Past, the Present, and the Future of Japanese Water Resources and Human Activities addresses seven broad questions relating to water resource management in Japan: What water reforms have occurred in Japan over the past 100 years? What is the current condition of Japan related to regional and rural communities, major water-related assets, and salinity and water quality? How have the water reforms to date influenced policy and management? How do traditional and modern water resources differ from Western countries? What challenges face Japan over the next and beyond 30 years, particularly due to climate change?, and more.Other questions answered include: What are possible policy and management responses to climate change and other future challenges? What can be done to improve decision-making processes given the general lack of trust in the governments, agencies, and their current processes? What is the way ahead for policy and management reforms in Japan?, and much more.

  • Applications of Nanotechnologies in Biomedicine, Agriculture, and the Environment

    • 1st Edition
    • Surender Kumar Sharma + 1 more
    • English
    Applications of Nanotechnologies in Biomedicine, Agriculture, and the Environment provides a comprehensive overview of the synthesis, design, and utilization of various nanomaterials, exploring their potential applications in fields ranging from agriculture and environmental remediation to healthcare and medicine. With contributions from leading experts in the field, the book starts with an overview of various synthesis methods, along with a thorough discussion on the benefits and limitations of each method. Subsequent chapters focus on specific areas of innovation, encompassing a broad array of applications within food and agriculture, biomedicine and environmental science. This is a valuable resource for researchers and advanced students across a range of disciplines, but it is also ideal for industrial scientists, engineers and R&D professionals with an interest in nanotechnology and sustainable technologies for diverse applications.

  • Security and Privacy in Trustworthy 6G

    A Physical Layer Perspective
    • 1st Edition
    • Christos Masouros + 1 more
    • English
    Security and Privacy in Trustworthy 6G: A Physical Layer Perspective gives a comprehensive overview of fundamental principles and cutting-edge techniques, equipping the reader with a deep understanding of the underlying concepts and techniques in trustworthy 6G. The book provides guidance on practical implementation in areas such as secure precoding, secure waveform, power efficient secure techniques, and data/sensing security issues in ISAC. Additionally, the book explores diverse security requirements in applications, including data security, computing security, sensing security, and user anonymity, making it relevant for researchers, engineers, and practitioners in various domains.

  • Robust Dynamic State Estimation of Power Systems

    • 1st Edition
    • Junbo Zhao + 2 more
    • English
    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.

  • Supercritical Fluid Technology in Industry

    Recent Advances and Challenges (2014-2024)
    • 1st Edition
    • Ádina L. Santana
    • English
    Supercritical Fluid Technology in Industry: Recent Advances and Challenges (2014-2024) offers new insights into the theoretical and industrial applications of multiple processes included in supercritical technology, combining a review of the established literature with recent advances in theory, current applications, and case studies to help promote a more sustainable research approach. The book outlines supercritical fluid technology and processes operated with substances at conditions above or near the critical point and enables readers to understand the basic steps of equipment and processing.Other sections explain the different methods of using supercritical technology and applications and cover current developments that increase economic feasibility and reduce environmental impact. This will be a great guide for anyone looking to supercritical technology as a means of optimizing existing processes or designing new processes with sustainability in mind, including industry experts, researchers, academics, and students at graduate level and above.

  • AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

    • 1st Edition
    • Olfa Boubaker + 1 more
    • English
    AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice examines the transformative role of AI and data science in improving diagnosis, treatment, and healthcare delivery. It shows how machine learning, deep learning, and advanced signal and image analysis enable breakthroughs in genomics, multi-omics integration, biomedical imaging, EEG-based seizure prediction, and real-time physiological monitoring. The book highlights AI-driven stratification of complex syndromes such as sepsis, stroke, and acute respiratory distress syndrome, demonstrating how data-driven models support early detection, personalized interventions, and actionable clinical decisions.The volume also presents system-level innovations, including AI-based forecasting for dialysis, blood supply management, and telemedicine optimization. It addresses ethical and regulatory challenges, fairness, transparency, data governance, and clinical validation, providing a practical roadmap for healthcare professionals, engineers, researchers, and policymakers. By integrating responsible, human-centered AI into precision medicine, the book illustrates clear pathways to enhance patient care, improve outcomes, and promote equitable healthcare.

  • Design Reliability and Maintainability of Energy Systems

    • 1st Edition
    • Fausto Pedro Garcia Marquez + 2 more
    • English
    Designing reliable and maintainable energy systems is crucial for ensuring efficiency, longevity, and sustainability in energy production, distribution, and consumption. Reliability focuses on minimizing failures and ensuring continuous operation under varying conditions, while maintainability emphasizes ease of inspection, repair, and upgrades. A well-designed energy system integrates robust components, predictive maintenance strategies, and advanced monitoring technologies to reduce downtime and operational costs. By prioritizing both reliability and maintainability, engineers can develop resilient energy infrastructures that support modern demands while minimizing environmental impact and lifecycle costs.Designing Reliability and Maintainability of Energy Systems is a guide to enhancing the resilience and reliability of modern energy infrastructures. Chapters present fundamental principles of reliability and resilience and new artificial intelligence applications, such as predictive maintenance, advanced analytics, and digital twin technologies for improved efficiency and sustainability in energy systems. Clear chapter objectives, worked problems, and case studies are included to demonstrate real-world applications of these technologies.This book is valuable for researchers, industry professionals, engineers, and advanced undergraduate and graduate students focused on energy grids, power system reliability, and AI-driven solutions for sustainable infrastructure.

  • AI and Data Science in Medical Research

    • 1st Edition
    • Olfa Boubaker
    • English
    AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

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