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Books in Physical sciences and engineering

  • Thermal Energy Storage

    The Path from Theory to Application
    • 1st Edition
    • Shailendra Kumar Shukla + 4 more
    • English
    Thermal Energy Storage: The Path from Theory to Application offers a comprehensive exploration of the science and practical implementation of thermal energy storage (TES) systems. This authoritative volume consolidates significant scientific contributions, covering foundational principles such as thermodynamics, heat transfer, and fluid flow, with detailed insights into various TES methods including sensible, latent, thermochemical, and hybrid systems. The book emphasizes the evolution of TES technologies, their advantages, limitations, and innovative approaches to addressing current energy challenges. It also delves into advanced techniques like predictive modeling, numerical methods, experimental strategies, and cutting-edge tools such as 3-D printing and specialized software, equipping readers with the knowledge necessary to develop and optimize TES solutions. Additionally, the book highlights the application of TES across diverse sectors, including building management, power generation, decentralized electrification, food supply chains, and data centers, supported by practical case studies from around the world. It concludes with a discussion of market dynamics, environmental benefits, and emerging trends shaping the future of thermal energy storage, making it an essential resource for both researchers and practitioners. This book is particularly valuable for engineers, scientists, policymakers, and industry professionals working in energy, construction, HVAC, and manufacturing sectors, as well as graduate students and researchers in fields like mechanical engineering, environmental science, and sustainable development. Whether involved in designing energy-efficient systems, conducting research, or developing policies, readers will find this resource indispensable for understanding and implementing TES technologies. By bridging theoretical concepts with real-world applications, Thermal Energy Storage: The Path from Theory to Application helps promote sustainable energy practices, reduce environmental impacts, and foster innovation in energy management across multiple disciplines and industries.

  • Intelligent Semantic Analysis for Healthcare

    • 1st Edition
    • Sonali Vyas + 3 more
    • English
    Intelligent Semantic Analysis for Healthcare explores the latest trends, developments, and future directions of intelligent semantic analysis techniques on retrieving and managing meaningful medical information for healthcare information systems. The book explores different computational methods, ideas, strategies, and techniques to analyze relevant healthcare information in an innovative and efficient way, thus bridging the gap between gathering and comprehending data with healthcare and biological applications. It offers a comprehensive view of intelligent semantic analysis in healthcare, bridging the gap between data collection and healthcare applications, and providing innovative computational methods for data analysis.Sections focus on intelligent semantic analysis rather than broader topics of big data and healthcare analytics. Additionally, the book is geared towards practical approaches and innovative techniques for state-of-the-art and current challenges in healthcare data management.

  • System of Systems Engineering

    Innovations, Challenges, and Future Directions
    • 1st Edition
    • Bedir Tekinerdogan + 1 more
    • English
    System of Systems Engineering: Innovations, Challenges, and Future Directions is an essential resource in the interdisciplinary field that addresses the design, management, and integration of complex systems operating independently yet interacting to achieve higher-level goals. With the increasing complexity of modern engineering challenges such as smart cities, defense systems, and global communication networks, there is a critical need for a deeper understanding of SoSE principles. Traditional systems engineering methods often fall short in addressing the dynamic, distributed, and interdependent nature of such systems. This book aims to fill that gap by providing a comprehensive guide that combines theoretical foundations with practical applications, making it crucial for both academic researchers and industry practitioners. The book is structured into five parts, each focusing on different aspects of System of Systems Engineering. Part I, Foundations of System of Systems Engineering, introduces the field, characterizes and classifies SoS, and discusses key concepts. Part II, Governance and Management of SoSE, covers strategic governance, policy and regulatory frameworks, and leadership and decision-making in SoSE projects. Part III, Methodologies and Tools, explores systems thinking and modeling approaches, lifecycle management, and interoperability and integration strategies. Part IV, AI and System of Systems Engineering, delves into leveraging AI for enhanced decision-making, machine learning applications, AI-driven automation and control, and ethical considerations. Finally, Part V, Case Studies and Emerging Challenges, presents real-world applications in defense and aerospace, smart cities, healthcare, environmental and energy systems, and discusses future directions and research opportunities. System of Systems Engineering: Innovations, Challenges, and Future Directions offers significant benefits to graduate students, researchers, and professionals in software engineering, systems engineering, aerospace engineering, defense, telecommunications, and other fields where SoSE is relevant. It is particularly useful for those involved in the design, management, and analysis of large-scale, complex systems. The content is also suitable for advanced undergraduate and postgraduate courses, as well as professional development programs focusing on SoSE, providing a thorough understanding and practical insights into this evolving field.

  • Artificial Intelligence Methods in Railway Infrastructure Systems

    Application of Data Centric Engineering
    • 1st Edition
    • Diogo Ribeiro + 5 more
    • English
    Artificial Intelligence Methods in Railway Infrastructure Systems: Application of Data Centric Engineering offers a thorough exploration of the latest advancements transforming railway management. With a strong focus on practical and theoretical approaches, this book introduces innovative AI techniques including machine learning, computer vision, and predictive analytics. These methodologies are presented in the context of railway infrastructure, empowering engineers and researchers to utilize cutting-edge technology for enhanced system reliability. By bridging the gap between theory and real-world applications, the book enables early detection of anomalies, supporting proactive maintenance strategies and improved operational efficiency in railway networks.This book acts as a vital reference for those seeking to understand and implement AI-driven solutions in railway systems, encouraging the adoption of anticipatory strategies to shape future trends. Readers will discover how AI innovations can streamline operations, optimize resource allocation, and significantly improve network safety, making it an essential guide for professionals looking to stay ahead in the evolving field of railway infrastructure management.

  • Synergistic Effects of Biotechnological Processes and Carbon Trading in the Energy Sector

    • 1st Edition
    • Suresh Sundaramurthy + 4 more
    • English
    Synergistic Effects of Biotechnological Processes and Carbon Trading in the Energy Sector paves the way for innovative solutions and sustainable practices surrounding the integration of microbial science in energy feedstock conversion, offering insights into the potential of bio-upgrading for value-added products and the valorization of wastes. From exploring bio-hydrogen and biofuels production to addressing environmental concerns and lifecycle assessment, it showcases advancements that drive the industry towards a circular economy model. Sections introduce energy industries and discuss challenges in biotechnology applications and prospects for a biological upgrading of energy feedstock and bioprocessing of waste for sustainable fuels production.With a focus on enzymatic catalysis for high-energy density products and the bio-valorization of waste, each chapter offers valuable insights into the evolving field of biotechnological processes for energy recovery and carbon trading. From global scenarios on biotechnology applications to environmental impacts and the way forward for stakeholders, this book provides a holistic view of the critical role biotechnology plays in shaping the future of energy production and environmental sustainability.

  • Circular Economy Through Waste Management and Resource Utilization

    • 1st Edition
    • Rahul Baidya + 4 more
    • English
    Circular Economy Through Waste Management and Resource Utilization delves into the intricacies of waste management and resource circulation, exploring specific aspects of the circular economy framework, including innovative technologies for waste treatment and recycling, case studies on successful circular economy initiatives across industries, and policy recommendations to foster the adoption of circularity principles on a global scale. By synthesizing cutting-edge research and practical insights, this edited book serves as a valuable resource for academics, policymakers, and industry professionals seeking to understand and contribute to the advancement of circular economy practices through effective waste managements and waste utilization.With a focus on practical solutions and actionable strategies, the book provides a roadmap for navigating the complexities of modern waste management systems and harnessing the potential of resource circulation to achieve sustainable development goals. Each chapter offers a unique perspective on key challenges and opportunities in the transition towards a circular economy and resource circulation, from the integration of circular principles through sustainable waste management to the optimization of waste-to-energy technologies and the development of circular supply chains.

  • Evaluation of the Effects and Consequences of Major Accidents in Industrial Plants

    • 3rd Edition
    • Joaquim Casal
    • English
    Evaluation of the Effects and Consequences of Major Accidents in Industrial Plants, Third Edition is a fully updated and expanded edition that delves into a diverse range of significant accidents, including fires, explosions, and toxic clouds while also providing key models and methods for calculating their effects and consequences. New chapters on Natech accidents and the transportation of hazardous materials, along with updated data on accident frequencies and the domino effect ensure that readers are equipped with the latest insights and methodologies relevant to real-world incidents. The book cover topics such as source terms, fire accidents, vapor cloud explosions, and quantitative risk analysis.Each chapter is designed to enhance understanding, with detailed analyses of recent significant accidents and the increasing risks posed by climate change, particularly in the context of forest fires and hydrogen safety. Additional annexes provide vital constants, flammability limits, and guidelines for assessing human exposure to hazardous events.

  • Climate Change

    Causes, Consequences and Ways of Overcoming Global Warming
    • 1st Edition
    • Trevor Letcher
    • English
    Climate Change: Causes, Consequences and Ways of Overcoming Global Warming focuses on the underlying cause of global warming and investigates the other possible causes of global warming. This book will also evaluate ways to reduce our reliance on fossil fuels. This book will include a discussion on atmospheric chemistry and the effect of CO2 in the atmosphere, the influence of ozone on global warming, a history of the earth’s climate, solar radiation changes and global warming, the effect of space weather on global warming, agricultural practices and global warming, and the effect of the Earth’s movements on global warming.

  • Big Data Mining and Machine Learning in Geoscience

    • 1st Edition
    • Yongzhang Zhou + 4 more
    • English
    Big Data Mining and Machine Learning in Geoscience offers a comprehensive overview of techniques and applications of data science in the geosciences. Sections cover essential, foundational concepts in data cleaning and preprocessing, thus ensuring the quality and reliability of geoscientific data. Next, the book explores dimensionality reduction methods designed to simplify high-dimensional data without losing critical information. The text covers classification and prediction techniques that enable the identification of patterns and forecasting of geological phenomena, and graphical data processing and handling of infinite stream data and time series are highlighted, along with their importance in real-time monitoring and dynamic systems analysis.In addition, the book explores advanced machine learning and deep learning methods, showcasing their transformative impact on geoscientific research. It also introduces knowledge graphs and large language models as emerging tools that enhance data integration, interpretation, and discovery. AI-driven geology is presented as a forward-looking approach that leverages artificial intelligence to revolutionize traditional geological practices, offering improved accuracy and insight. Throughout, practical examples and case studies illustrate how these technologies can be applied to solve complex problems in geoscience.

  • Artificial Intelligence in Brain Disorders

    Innovations in Diagnosis and Treatment
    • 1st Edition
    • Pranav Kumar Prabhakar + 3 more
    • English
    Artificial Intelligence in Brain Disorders: Innovations in Diagnosis and Treatment focuses on the utilization of AI and machine learning to enhance current practices in the diagnosis and treatment of neurological disorders. Each chapter provides in-depth exploration of specific areas where AI can improve existing methodologies, offering practical guidance, case studies, and research findings that can be directly applied in the field. It explains the application of AI in diagnosing and treating major neurological illnesses and showcases the potential of AI in predicting diseases such as epilepsy and neurodegenerative disorders.As such, this book offers a detailed overview of AI and machine learning techniques relevant to neurological research.

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