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Books in Physical sciences and engineering

  • 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.

  • Sustainable Soil Management

    Bridging the Sustainable Development Goals
    • 1st Edition
    • Owais Bashir + 4 more
    • English
    Sustainable Soil Management: Bridging the Sustainable Development Goals addresses the issue of sustainable soil management and its connection to achieving Sustainable Development Goals (SDGs). It presents a range of strategies, policies, and implementation approaches for sustainable soil management, drawing on examples from around the world. In addition to sustainable soil management practices, the book also covers the dynamics of soil health, the role of soil organic matter, and the integration of agroecology and biodiversity in enhancing food security and environmental sustainability.By examining the interconnectedness of soil with key SDGs—such as zero hunger, clean water, and climate action—this book provides a roadmap for addressing global challenges.

  • 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.

  • Physical Principles of Imaging in Medicine

    • 1st Edition
    • Adam W. Anderson + 3 more
    • English
    Medical Imaging: Mathematical and Physical Principles gives an introduction to the mathematical and physical concepts and principles that underlie modern radiological imaging techniques. It explains the basic phenomena and mathematical concepts that are central to the use of physical methods for image formation in biomedicine. By focusing on the physical and mathematical principles, it provides knowledge that will continue to hold true even as technological and other advances change the nature and detail of future medical imaging applications.Written as a pedagogic textbook explaining the principles rather than a technical manual describing imaging methods, Medical Imaging: Mathematical and Physical Principles is very suitable as a foundational reference for senior undergraduates, graduate students and researchers with a background in either biomedical engineering, engineering, applied physics, computer science, and mathematics. It will be a well-thumbed resource throughout a researcher’s career.

  • Contaminants of Emerging Concern in the Environment

    An Analytical Framework
    • 1st Edition
    • Núria Fontanals Torroja + 2 more
    • English
    Contaminants of Emerging Concern in the Environment: An Analytical Framework addresses the pressing issue of contaminants of emerging concern (CECs) in the environment. With the need for new analytical methods to detect these contaminants at trace levels in various environmental matrices, such as air, water, and solid samples, this book provides a comprehensive overview of the analytical framework developed since 2010. By detailing sampling and sample pretreatment techniques, chromatographic separation coupled with mass spectrometry, and portable in-situ determination methods, it equips researchers and practitioners with the necessary tools to effectively analyze and monitor CECs.This book offers practical insights through case studies of analytical procedures, enabling readers to transfer these methods to their own laboratories. It critically discusses the pros and cons of cutting-edge analytical technologies, providing a nuanced understanding of their applications and limitations.

  • The Organic Chemistry of Drug Design and Drug Action

    • 4th Edition
    • Richard B. Silverman + 2 more
    • English
    The Organic Chemistry of Drug Design and Drug Action, Fourth Edition presents a unique approach to medicinal chemistry based on physical organic chemical principles and reaction mechanisms that rationalize drug action. The book's coverage allows readers to extrapolate core principles and mechanisms to many related classes of drug molecules. It reflects the significant changes in the process of drug design over the last decade and preserves the successful approach of the previous editions while also including significant changes in format and coverage.It is designed for undergraduate and graduate students in chemistry who are studying medicinal chemistry or pharmaceutical chemistry. Users, including research chemists and biochemists working in pharmaceutical and biotechnology industries will find this update to be useful in their daily work.

  • AI and Blockchain for Wireless Communications

    Creating Resilient and Secure Systems
    • 1st Edition
    • Ferheen Ayaz + 1 more
    • English
    AI and Blockchain for Wireless Communications: Creating Resilient and Secure Systems describes the merger of AI and blockchain for the smooth functioning of secure wireless communications. The book covers both sides of blockchain and AI integration – blockchain for assisting AI, such as solutions involving distributed learning and trustworthy AI, and AI solutions designed to support blockchain, such as solutions embedded in smart contracts for automation and authentication. The methods and techniques presented in the book are also supported by use cases that show the practical implementation of AI and blockchain based wireless communication systems. It is suitable for students, researchers, and industry engineers in AI, blockchain, and wireless communications, and will help AI developers grasp concepts and see the benefits of blockchain integrated with AI—particularly in wireless communications—thus setting the groundwork for their future development.

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