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Books in Physical sciences and engineering

  • Data-Driven Insights and Analytics for Measurable Sustainable Development Goals

    • 1st Edition
    • July 24, 2025
    • Tilottama Goswami + 2 more
    • English
    Data-Driven Insights and Analytics for Measurable Sustainable Development Goals discusses the growing imperative to understand, measure, and guide actions using data-driven insights. The SDGs encompass a broad spectrum of global challenges, from eradicating poverty and hunger to preserving the environment and fostering peace. To address these issues, one should be able to measure and analyze progress. This book bridges the gap between qualitative and quantitative assessments, recognizing that goals are not solely about numbers but also encompass complex social, environmental, and economic dynamics. By merging data science with qualitative analysis, readers can explore how SDGs intersect and influence each other.The book provides readers with an understanding of how to effectively leverage data science models and algorithms using descriptive analytics, allowing us to assess the current state of SDG performance and offering valuable insights into where we stand on these critical goals. Prescriptive analytics guides actions by offering actionable recommendations, while predictive analytics anticipates future trends and challenges, helping us navigate our path toward the SDGs effectively.

  • Decentralized Optimization in Networks

    Algorithmic Efficiency and Privacy Preservation
    • 1st Edition
    • July 23, 2025
    • Qingguo Lü + 5 more
    • English
    Decentralized Optimization in Networks: Algorithmic Efficiency and Privacy Preservation provides the reader with theoretical foundations, practical guidance, and solutions to decentralized optimization problems. The book demonstrates the application of decentralized optimization algorithms to enhance communication and computational efficiency, solve large-scale datasets, maintain privacy preservation, and address challenges in complex decentralized networks. The book covers key topics such as event-triggered communication, random link failures, zeroth-order gradients, variance-reduction, Polyak’s projection, stochastic gradient, random sleep, and differential privacy. It also includes simulations and practical examples to illustrate the algorithms' effectiveness and applicability in real-world scenarios.

  • Enhancing Resilience in Power Distribution Systems

    • 1st Edition
    • July 22, 2025
    • Fangxing Fran Li + 2 more
    • English
    Enhancing Resilience in Power Distribution Systems presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems. The book begins by explaining the risks and problems for resilience presented by renewable-based power systems. It goes on to clarify the current state of research and propose several novel methodologies and technologies for analysis and improvement of power system resilience. These methods include deep learning, linear programming, and generative adversarial networks.Packed with practical steps and tools for implementing the latest technologies, this book provides researchers and industry professionals with guidance on the resilient systems of the future.

  • Internet of Things Cybersecurity in Critical Infrastructures

    Case Studies in Energy Systems
    • 1st Edition
    • July 22, 2025
    • Monika Freunek
    • English
    Internet-of-Things Cybersecurity in Critical Infrastructures: Case Studies in Energy Systems takes readers from the basic principles of cybersecurity in essential public infrastructure to the specific requirements of energy systems connected to the Internet-of-Things. This book provides a holistic approach to the challenges (legal, technological, and human) of AI and IOT integration for renewable, modern energy infrastructure. It outlines the fundamental challenges and technologies of cybersecurity for essential infrastructure and goes on to apply this specifically to energy grids and systems, in the light of the ML, AI, and IOT technologies required for renewable integration.Case studies are provided to ensure the reader is fully equipped to problem-solve and apply the knowledge in the development and planning of secure energy infrastructure. Packed with a wealth of practical experience and guidance, this book is a critical resource for energy system engineers looking for a primer on the cybersecurity needs of connected, renewable-integrated energy infrastructure.

  • Undersea Fiber Communication Systems

    • 3rd Edition
    • July 22, 2025
    • José Chesnoy + 1 more
    • English
    Undersea Fiber Communication Systems, Third edition is an authoritative guide exploring the comprehensive aspects of optical communication systems over submarine cables. Covering topics such as design, technology, installation, and maintenance, it serves as an essential resource for students, experts, operators, and investors alike. This updated edition reflects the significant advancements made in the field over the past decade, ensuring it remains indispensable in the rapidly evolving domain of submarine optical communications. The third edition addresses key developments including the transverse role of open cables, the evolution of coherent transponders, and the impacts of space division multiplexing (SDM).The book also explores advancements in wet plant equipment, environmental impacts of marine operations, contract management, and the progression of unrepeated systems to match repeated systems at network levels. This comprehensive update ensures the book's relevance and utility in a field marked by continuous innovation.

  • Artificial Intelligence

    Data and Model Safety
    • 1st Edition
    • July 22, 2025
    • Yu-Gang Jiang + 2 more
    • English
    Artificial Intelligence Data and Model Safety: Risks, Attacks and Defenses offers a comprehensive overview of the evolution of AI and its security concerns. The book delves into how historical advancements in AI have both bolstered and complicated the issue of safeguarding data and models. By reflecting on the interplay between machine learning innovations and vulnerabilities, it sets the stage for readers to understand the critical importance of robust defenses in this era of digital and algorithmic reliance. In addition to contextualizing the historical trajectory of AI security, the book examines foundational elements of machine learning, emphasizing the mechanisms that contribute to, or mitigate, risks.Readers are guided through case studies of real-world attacks, illustrating the practical implications of security weaknesses, while proposed defense strategies provide actionable insights for strengthening AI systems.

  • Applications of Metal-Organic Framework Composites

    Exploring the Versatility of MOFs
    • 1st Edition
    • July 21, 2025
    • Hafezeh Nabipour + 1 more
    • English
    Applications of Metal-Organic Framework Composites: Exploring the Versatility of MOFs systematically describes the state-of-the-art knowledge and fundamentals of metal-organic frameworks' synthesis, structure, and functionalization. The book discusses the unique mechanical, optical, magnetic, ferroelectric, and electronic behaviors of metal-organic frameworks, covering various emerging applications across different fields, including environmental pollutant removal, biomedical applications, water desalination, packaging, supercapacitor and energy storage, EMI shielding, catalysis, gas separation, chemical sensing, fire retardancy, water splitting, antibacterial applications, and battery technology.All applications have been efficiently discussed in specific chapters, and in each case, the processing of metal-organic frameworks composites has also been addressed. The book enables readers to keep up with the latest advancements in the field and provides an overview of the current state-of-the-art research.

  • Hydrogel Tissue Analogues

    • 1st Edition
    • July 21, 2025
    • Rangasamy Jayakumar + 1 more
    • English
    Hydrogel Tissue Analogues provides an overview of the critical role of novel hydrogels in tissue engineering and biomedicine. Structured into three parts, this book guides readers through the latest advances in hydrogel technology. Part one offers an in-depth look at state-of-the-art hydrogel processing, including biomimetic strategies and ground-breaking bioprinting approaches. It also covers rheological characterization and its biomedical applications. Part two showcases the diverse applications of hydrogels in tissue regeneration, spanning bone, adipose, cartilage, cardiac, intervertebral disc, and skin tissues. Additionally, it explores hydrogels for hemostasis, vascularization enhancement, and infectious disease treatment, along with their bioadhesive properties. Part three delves into the regulatory aspects surrounding hydrogel products, addressing emerging developments and commercially available solutions. Hydrogel Tissue Analogues is an essential resource for researchers and academics in the fields of materials science, biomaterials, polymer science, and regenerative medicine, who have an interest in hydrogel-based biomedical solutions.

  • Data Science in Metal Forming

    • 1st Edition
    • July 19, 2025
    • Li-Liang Wang + 1 more
    • English
    Data Science in Metal Forming provides readers with a framework to collect, visualize, analyze, and characterize metal forming metadata, thus enabling improved design, more efficient production, and more effective application of a range of metals. Chapters introduce concepts and discuss industry 4.0, digital manufacturing, and more. Other sections feature case studies of metal forming data collection spanning several essential procedures and outline methods for data processing when lacking essential information.The book also includes data visualization techniques, insights into how to analyze data from various metal forming processes (stamping, hydroforming, incremental, extrusion, and more) and details on how readers can setup, manage, and most effectively apply their own data repositories.

  • Methods of Mathematical Modeling

    Advances and Applications
    • 1st Edition
    • July 18, 2025
    • Hemen Dutta
    • English
    Methods of Mathematical Modeling: Advances and Applications delves into recent progress in this field, highlighting innovative methods and their uses in different domains. This book covers convergence analysis involving nonlinear integral equations and boundary value problems, Navier-Stokes equations in Sobolev-Gevrey spaces, magneto-hydrodynamic... of ternary nanofluids with heat transfer effects, vortex nerve complexes in video frame shape approximation, hybrid schemes for computing hyperbolic conservation laws, and solutions to new fractional differential equations. Additionally, the book examines dynamics of Leslie-Gower type predator-prey models and models for the dynamics of generic crop and water availability.Readers will find diverse approaches, techniques, and applications needed for modeling various physical and natural systems. Each chapter is self-contained, encouraging independent study and application of the modeling examples to individual research projects. This book serves as a valuable resource for researchers, students, educators, scientists, and practitioners involved in different aspects of modeling.

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