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Books in Physical sciences and engineering

  • Computer Vision and AI in Structural Health Monitoring and Structural Engineering

    • 1st Edition
    • Cheng Liu + 3 more
    • English
    In an era of aging infrastructure and an increasing demand for safety, structural health monitoring (SHM) has become critical for ensuring the longevity and reliability of buildings, bridges, and other essential structures. Computer Vision and AI in Structural Health Monitoring and Structural Engineering explores cutting-edge approaches to SHM, integrating advancements in computer vision, artificial intelligence (AI), and multimodal technologies to revolutionize how infrastructure is monitored, maintained, and managed. Starting with the fundamentals of SHM and structural engineering, the book examines the transformative power of computer vision applications, such as crack detection, corrosion assessment, and real-time deformation analysis. It also introduces vision-language models (VLMs), enabling automated defect reporting, multimodal analysis, and natural language interfaces for SHM systems.

  • 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.

  • Applied Artificial Intelligence for Engineering Applications

    Empowering Transformative Innovations in Multidisciplinary Engineering
    • 1st Edition
    • Tarek Saadawi + 5 more
    • English
    Applied Artificial Intelligence for Engineering Applications: Empowering Transformative Innovations in Multidisciplinary Engineering offers an integrated view of AI’s transformative potential in multidisciplinary engineering, bridging the gap between AI advances and their applications in various engineering disciplines, including civil, mechanical, electrical, chemical, and robotics. The book starts with an introduction to the field, providing an overview of AI technologies and their relevance to engineering, discussing different AI approaches such as machine learning, reinforcement learning, neural networks, and natural language processing.In addition, the computational tools and software used for each of these approaches are covered, as are AI-driven innovations in electronics design and manufacturing and the role of AI in the development of advanced sensors and IoT devices. Chapters then cover the deployment of AI in specific engineering disciplines, outlining its use in civil engineering, mechanical engineering, production engineering, and chemical engineering. The use of AI as a solution for energy efficiency and management and renewable energy integration is also discussed.

  • Deep Learning for Cardiac Signal Analysis in Robotic Applications

    • 1st Edition
    • Kapil Gupta + 1 more
    • English
    Deep Learning for Cardiac Signal Analysis in Robotic Applications delves into the transformative role of artificial intelligence in enhancing robotic-assisted cardiovascular procedures. Addressing the complexities of heart signal interpretation amidst the dynamic environment of cardiac surgery, this book meets the critical need for a comprehensive resource that bridges deep learning advances with practical surgical applications. It responds to the challenge of understanding intricate bio-signals, such as ECG, VCG, and BCG, by providing clear explanations, case studies, and methodological insights tailored to improve surgical precision, safety, and patient outcomes. The book is organized into three parts, starting with the fundamentals of cardiac signals and deep learning. It introduces key heart modalities, including the physiological underpinnings and challenges of signals like ECG and BCG, followed by an overview of deep learning architectures relevant to signal processing. Pre-processing and feature extraction techniques are detailed to prepare readers for advanced analysis. Part II focuses on AI-enhanced cardiac signal analysis, covering arrhythmia detection, myocardial ischemia diagnostics, hypertension monitoring via BCG, and explainable AI approaches for fetal arrhythmia monitoring. The final section integrates AI with robotic cardiac surgery, addressing real-time signal integration, AI-guided intervention precision, intraoperative decision support, postoperative monitoring, and future trends in cardiac AI and robotic-assisted surgery.This book is an invaluable resource for engineering students and academicians seeking to deepen their understanding of AI applications in healthcare. It equips readers with practical knowledge to tackle challenges in cardiac signal processing and robotic application, fostering interdisciplinary expertise that spans biomedical engineering, computer science, and clinical practice. This book not only advances academic research but also supports innovation in developing intelligent surgical systems and improving patient care.

  • Biohydrometallurgy of Rare Earth Ores

    • 1st Edition
    • Hongbo Zhao + 3 more
    • English
    Biohydrometallurgy of Rare Earth Ores offers an in-depth exploration of innovative bioleaching techniques for the extraction of rare earth elements that is critical for various high-tech applications. The book begins with foundational concepts in bioleaching, explaining how microorganisms and their metabolites can facilitate the extraction of REEs from ores. Further sections examine different biological approaches, including the use of native and genetically improved microorganisms, and highlight the role of coordination chemistry in enhancing leaching processes. The text also delves into comparative analyses of chemical versus bioleaching methods, emphasizing the advantages of biological techniques in terms of efficiency and environmental sustainability.Addit... the book addresses the environmental impacts of bioleaching practices, providing a holistic view of the sustainability of these methods while also detailing the recovery processes of REEs from bioleaching solutions and exploring various methods such as inorganic and organic precipitation, biosorption, and the utilization of waste-derived metabolites. It will serve as a valuable resource for researchers, practitioners, and industry professionals interested in the sustainable extraction of rare earth elements.

  • AI Platforms as Global Governance for the Health Ecosystem

    The Future's Global Hospital
    • 1st Edition
    • Dominique J. Monlezun
    • English
    AI Platforms as Global Governance for the Health Ecosystem: The Future’s Global Hospital provides comprehensive and actionable approaches for readers to understand and optimize responsible AI to create global governance for the healthcare ecosystem. The book explores how AI platforms can transform hospitals and clinical practice by digitally unifying patients, providers, and payors, advancing healthcare for all. Users will find content that defines and explains the main hurdles and technical innovations in responsibly governing AI platforms for efficient, equitable, and sustainable global healthcare.Additiona... sections delve into the history, science, politics, economics, ethics, policy, and future of these AI platforms, and how governance efforts can work toward the common good. Written from the first-hand perspective of a practicing physician-data scientist and AI ethicist, the book maps out how to develop successful governance for AI platforms.

  • Per- and Polyfluoroalkyl Substances (PFAS) as Environmental Contaminants

    Materials and Technologies for Advancements in Water and Soil Remediation
    • 1st Edition
    • Dimitrios A Giannakoudakis + 1 more
    • English
    Per- and Polyfluoroalkyl Substances (PFAS) as Environmental Contaminants: Materials and Technologies for Advancements in Water and Soil Remediation offers a comprehensive examination of the challenges posed by PFAS contamination and the innovative solutions available for remediation. The book delves into the chemical properties, toxicity mechanisms, and environmental persistence of PFAS while also exploring advanced remediation technologies such as adsorption, chemical oxidation, and phytoremediation. By consolidating current knowledge and showcasing new approaches, this comprehensive resource equips readers with the tools necessary to address PFAS contamination and effectively advance research and practice in environmental health and safety.In addition, users will find updates on emerging materials like Metal-Organic Frameworks and activated carbons that enhance remediation efforts, providing practical insights and case studies throughout.

  • Understanding Models Developed with AI

    Including Applications with Python and MATLAB Code
    • 1st Edition
    • Ömer Faruk Ertuğrul + 2 more
    • English
    Understanding Models Developed by AI: Including Applications with Python and MATLAB Code is a comprehensive guide on the intricacies of AI models and their real-world applications. The book demystifies complex AI methodologies by providing clear explanations and practical examples that are reinforced with Python and MATLAB program codes. Its content structure emphasizes a practical, applications-driven approach to understanding AI models, with hands-on coding examples throughout each chapter. Readers will find the tools they need to build AI models, along with the knowledge to make these models accessible and interpretable to stakeholders, thus fostering trust and reliability in AI systems.As the primary issues with the adoption of AI/ML models are reliability, transparency, interpretation of results, and bias (data and algorithm) management, this resource give researchers and developers what they need to be able to not only implement AI models, but also interpret and explain them. This is crucial in industries where decision-making processes must be transparent and understandable.

  • Analytical Chemistry for Environmental Solutions

    Elements of Change
    • 1st Edition
    • Rohit Bhatia + 1 more
    • English
    Analytical Chemistry for Environmental Solutions: Elements of Change provides in-depth coverage of cutting-edge analytical techniques, emerging trends like AI-powered data analysis, real-time monitoring, and the global impact of environmental issues, aligning with sustainability goals such as clean water, climate action, and sustainable cities. The book includes practical case studies, real-world data analysis, and a comprehensive instructor's manual, making it suitable for both academic and professional audiences. Its focus on global perspectives and cultural sensitivity ensures it resonates across diverse regions, while interactive learning tools and digital resources enhance the educational experience.This edition, along with a sturdy collection of interactive ancillary resources for both students and instructors, delivers accessible, engaging, and comprehensive resources for readers, enhancing both the understanding and practical applications of analytical chemistry in environmental science. Designed to equip students with problem-solving, critical thinking, and data analysis skills, this textbook is an ideal resource for the next generation of environmental scientists, policymakers, and sustainability experts.

  • Advanced Molecular Magnetism

    • 1st Edition
    • Roman Boča
    • English
    Advanced Molecular Magnetism provides a rigorous overview of the magnetic properties of molecular and extended inorganic systems. The book begins by introducing the fundamentals of magnetic data recording and analysis, establishing exchange interactions as a foundational concept before progressing to more advanced topics. Key areas of focus include exchange interactions involving both d- and f-block elements, the role of magnetic anisotropy, single-molecule magnets, and spin crossover phenomena. The text emphasizes the correlation of magnetic property analysis with complementary techniques such as UV-Vis and electron paramagnetic resonance (EPR) spectroscopy. A thorough overview of electronic energy levels in transition metal complexes is provided, covering electronic terms, multiplets, and Zeeman splitting. The interface between quantum mechanics and macroscopic thermodynamic properties is explored through statistical thermodynamics. The book reviews the major types of magnetic materials—diamagneti... paramagnetic, ferromagnetic, and antiferromagnetic—wi... a focus on their underlying principles and real-world examples. Methods for deriving magnetochemical formulae for Curie paramagnets, zero-field splitting systems, T- and E-term systems, and pure multiplet systems are clearly presented, alongside practical guidance for magnetic data collection and analysis. Special attention is given to the magnetism of f-elements and the unique properties of single-molecule magnets, as well as to the correct description of many-electron states in both free atoms and those influenced by crystal fields. The Zeeman effect is introduced, followed by in-depth chapters on paramagnetic materials exhibiting zero-field splitting and exchange interactions of isotropic and anisotropic kind. Worked examples show experimental data for different kinds of interactions in transition metal complexes along with their modelling using advanced theoretical tools. The synergy between molecular magnetism, electron spectroscopy, and EPR is also highlighted throughout. One important objective of this book is to help readers with more marginal backgrounds in quantum mechanics understand the current state of the art of molecular magnetism. Advanced Molecular Magnetism is written primarily for inorganic, physical or computational/theore... chemists, as well as being of use to condensed matter physicists and materials scientists with an interest in the magnetic properties of transition metal and lanthanide complexes.

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