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Books in Physical sciences and engineering

  • Nanocellulose from Agricultural Biomass

    Fundamentals, Performance, and Applications
    • 1st Edition
    • N. M. Nurazzi + 1 more
    • English
    Nanocellulose from Agricultural Biomass: Fundamentals, Performance, and Applications provides an extensive exploration of the cutting-edge advancements in this field. The book aims to cover the entire spectrum, from the origins and significance of agricultural biomass to the traditional and modern isolation methods of nanocellulose. It delves into the critical role of nanocellulose in emerging applications, especially through chemical surface modifications and composite fabrication processes involving both thermoplastic and thermosetting materials. The book is structured into three main sections: fundamentals, fabrication, and applications.The first section offers a foundational understanding of agricultural biomass resources, their morphology, and methods for sustainable green extraction and isolation of nanocellulose. The second section covers techniques for modifying and functionalizing nanocellulose, composite fabrication processes, and performance evaluations. The third section explores various cutting-edge applications, such as biomedical materials, electronics, environmental remediation, structural applications, packaging, 3-D printing, and propellants. This book is designed for a wide audience, including researchers, industry professionals, and postgraduate students working in the fields of natural fibers, nanocellulose, and polymer composites. It addresses the growing interest in sustainable materials by presenting detailed, interdisciplinary research and collaborative efforts to develop nanocellulose applications. The book highlights the economic potential and market value of nanocellulose products, making it an invaluable resource for those engaged in advancing sustainable product development.

  • PEGylated Nanocarriers: Applications in Drug Delivery

    • 1st Edition
    • Prashant Kesharwani
    • English
    PEGylated Nanocarriers: Applications in Drug Delivery explores the essential properties of PEG that contribute to the creation of long circulating nanocarriers and examines the significant biological and pharmacological impacts of PEGylation and extended circulation. This book provides a detailed review of the preparation, properties, and applications of various long-circulating PEGylated nanocarriers, such as liposomes, nanoparticles, dendrimers, carbon nanotubes, and more. Key chapters also include analysis of the challenges, biological toxicity, and safety issues associated with PEGylated nanocarriers, enabling better clinical translation. PEGylated Nanocarriers: Applications in Drug Delivery is of interest to researchers and academics in the fields of biomaterials, pharmaceutical science, and polymer science, with an interest in developing PEGylated drug delivery systems for therapeutics.

  • Reshaping Geotechnical Engineering with Machine Learning

    Theory, Applications, and Innovations
    • 1st Edition
    • Divesh Ranjan Kumar + 3 more
    • English
    Reshaping Geotechnical Engineering with Machine Learning: Theory, Applications, and Innovations explores the transformative impact of machine learning (ML) on the field of geotechnical engineering. The book begins by examining the broad applications of ML in key areas such as foundation engineering and slope stability, demonstrating how advanced algorithms can enhance predictive accuracy and decision-making. It emphasizes the importance of robust data acquisition and preprocessing techniques, which are critical for the successful implementation of ML models in geotechnical contexts. The text examines the use of machine learning for predicting soil behavior, a complex challenge in geotechnical engineering, and highlights its role in risk assessment and management. It also addresses the integration of ML with finite element modeling to improve the analysis of tunnel and underground stability. The applications of machine learning in understanding geotechnical materials further showcase the versatility of these techniques. Through detailed case studies, the book illustrates practical implementations of machine learning, bridging theory and real-world problem-solving. It also covers experimental investigations, including laboratory and field studies, which provide essential data for model training and validation. Additionally, the book discusses failure diagnosis of rock slopes by combining discontinuity analysis with numerical modeling, underscoring the potential of ML to enhance safety and reliability in geotechnical projects. This comprehensive resource highlights how machine learning is revolutionizing geotechnical engineering, offering innovative tools and methodologies that improve efficiency, accuracy, and safety in the discipline.

  • Additive Manufacturing of Polymer Composites

    Technologies, Materials, and Applications
    • 1st Edition
    • Hamid Reza Vanaei + 3 more
    • English
    Additive Manufacturing of Polymer Composites: Technologies, Materials, and Applications provides a comprehensive and multidisciplinary exploration of the intersection between additive manufacturing (AM) and polymer matrix composites (PMCs). Its primary objective is to bridge the knowledge gap between AM technologies and polymer composites, delivering an integrated perspective that encompasses fundamental principles, material selection, process optimization, technological advancements, and emerging applications. The book’s timely significance is highlighted by the rapidly evolving use of AM to fabricate lightweight, high-performance composites for sectors such as aerospace, automotive, medical devices, and industrial tooling. It covers new developments such as smart composites, 4D printing, and AI-driven process optimization—areas not yet fully addressed in the current literature. The book’s content structure follows a logical progression: it begins with a foundational overview of AM and PMCs, explores materials and their properties, examines technological processes and process parameter optimization, and then addresses advanced characterization, quality control, and applications. Future perspectives, including sustainability, smart materials, and digital innovations, are also included. Key themes include material-process integration, quality assurance, sustainability, and the application of AM-PMCs in complex engineering contexts.

  • Pattern Recognition Techniques in Gas Sensing

    • 1st Edition
    • Ajit Khosla + 2 more
    • English
    Pattern Recognition Techniques in Gas Sensing provides a comprehensive overview of the methods and technologies used to detect and analyze gases through advanced pattern recognition approaches. The book begins by introducing the fundamentals of gas sensors and their unique data characteristics, laying the groundwork for understanding the complexities involved in gas detection. It then explores the basics of pattern recognition, detailing various statistical methods that have been traditionally employed to interpret sensor data. The text looks into Bayesian and probabilistic methods, offering insights into their applications for improving gas sensing accuracy. Cluster analysis techniques are examined as tools for grouping sensor responses to identify specific gas patterns. The integration of machine learning in gas sensing is thoroughly discussed, highlighting how these algorithms enhance detection capabilities by learning from complex datasets. Further, the book presents deep learning techniques, showcasing their power in handling large volumes of sensor data and extracting meaningful features for precise gas identification. Data processing techniques essential for preparing and refining sensor outputs are also covered, providing readers with practical knowledge for real-world applications. The book concludes with a forward-looking perspective on emerging trends and future directions in gas sensing, emphasizing the continuous evolution of pattern recognition technologies. This book serves as an essential resource for researchers, engineers, and professionals seeking to advance the field of gas sensing through innovative pattern recognition techniques, fostering more accurate and reliable detection systems.

  • Sustainable Plant-Based Natural Fibres in Textiles

    • 1st Edition
    • Sheraz Ahmad + 3 more
    • English
    Sustainable Plant-based Natural Fibres in Textiles provides insights into sustainable fibers, addressing eco-friendly textile solutions and recent advancements. Covering fiber structures, processing, characteristics, and end-products, the book guides readers towards a more sustainable future for fashion and textiles, emphasizing biodegradability. As a timely resource for an increasingly eco-conscious society, it facilitates informed dialogue and action on the evolving textile landscape of post-natural fiber adoption. By integrating recent studies and innovative solutions, the book advocates for greener practices in the textile sector.It fills a crucial gap by offering accessible information on sustainable plant-based fibers, aiding individuals, professionals, and industry stakeholders in adopting environmentally- friendly practices and promoting tangible solutions for reducing the ecological footprint of the textile industry.

  • Advances in Biofuels

    Strategies, Policies, and Technologies for a Sustainable Future
    • 1st Edition
    • Sohrab Zendehboudi + 1 more
    • English
    Advances in Biofuels: Strategies, Policies, and Technologies for a Sustainable Future offers a holistic view of biofuels, integrating technological advancements, sustainability issues, economic impacts, and policy frameworks, whilst case studies showcase applications of biofuels in various regions of the world. The book begins by introducing the fundamentals of biofuels, feedstocks for biofuel production, and production technologies, before addressing the sustainability issues of biofuels, with chapters on the economic and environmental impacts of biofuels, carbon footprints and GHG emission reduction strategies in biofuels, and guidelines and policies for biofuel production in different regions. The book then shifts to various applications of biofuels, notably by covering advanced biofuels in the decarbonizing of transport, biofuel blending and compatibility with existing infrastructure, the design and optimization of bioreactors for biofuel production, and the metabolic engineering and biomass species design for enhanced biofuel production. Finally, social, ethical and economic considerations in biofuel development are considered, with a closing chapter exploring future directions and innovations. This latest volume in the Woodhead Series in Bioenergy is of interest to all those with an interest in biofuel production, transportation, processing, and utilization, including researchers, faculty, advanced students, scientists, engineers, industry professionals, and policy makers.

  • Filled Carbon Nanotubes: Materials and Allied Applications

    Green Sustainable Process for Chemical and Environmental Engineering and Science (GSPCEES)
    • 1st Edition
    • Inamuddin
    • English
    Filled Carbon Nanotubes: Materials and Allied Applications provides detailed insights into the mechanisms, properties, and modeling of filled CNTs. Covering a wide range of guest materials—from metals and oxides to organic and inorganic compounds—the book highlights properties and applications, including energy storage, catalysis, medicine, environmental protection, and electronics. With in-depth discussions on theoretical and experimental perspectives, it serves as a valuable resource for understanding the fundamentals and future directions of filled CNT technology. The content spans topics such as the properties and mechanics of filled CNTs, their theoretical modeling, specialized applications in drug delivery, energy systems, sensors, nanoelectronics, aerospace, and environmental solutions. It also addresses synthesis, quality control, commercialization challenges, and emerging trends, making it an all-encompassing guide for researchers and technologists alike. Filled Carbon Nanotubes: Materials and Allied Applications is a valuable reference for scientists, engineers, and industry professionals across disciplines—includin... materials science, nanotechnology, chemistry, physics, biomedical engineering, and environmental science—seeking to deepen their understanding of the fundamental principles, innovative uses, and future potential of filled CNTs.

  • Foundations of Real Analysis

    • 1st Edition
    • William R. Brian
    • English
    Foundations of Real Analysis offers up a first course in real analysis aimed at advanced undergraduate students or new graduate students. The text covers the central topics of analysis, like continuity, differentiation, and integration, with a particular emphasis on set-theoretic and topological aspects of the real line, such as the Baire Category Theorem and the infinite-length Banach-Mazur games. It is richly illustrated and includes a wealth of interesting examples and counterexamples, such as Hilbert’s space-filling curves and Volterra’s non-integrable derivative. These mathematical spectacles aim to challenge the student’s preconceptions about the real line, while at the same time the main part of the text builds up a more well-founded intuition. Foundations of Real Analysis presents the core ideas of real analysis with intuition-driven arguments and visual appeal. The book connects analysis with other adjacent areas of mathematics, including important arguments and ideas from topology, measure theory, abstract algebra, descriptive set theory, and functional analysis. It aims to give the student a thorough and rigorous introduction to real analysis, leaning on the more intuitive and imaginative aspects of the subject, while also revealing some of the broader context of modern mathematics in which the subject is situated. This introductory course is designed not only for future analysts, but for anyone wanting to understand analysis and to sharpen their mathematical insight. The text is well suited to a two-semester university course, but can also be used for self-study by the curious reader.

  • Neuro-Symbolic AI

    Integrating Neural Networks and Symbolic Reasoning
    • 1st Edition
    • Sarika Jain + 3 more
    • English
    Neuro-Symbolic AI: Integrating Neural Networks and Symbolic Reasoning explores the convergence of two historically distinct paradigms in artificial intelligence—data-dr... neural networks and logic-based symbolic reasoning. This book presents a comprehensive roadmap of this emerging hybrid discipline, offering deep theoretical insights, practical methodologies, and transformative applications across diverse research sectors including healthcare, finance, engineering, and autonomous systems. While neural networks have achieved remarkable success in perception and pattern recognition tasks, they often lack the reasoning, transparency, and generalizability that symbolic systems excel at. Conversely, symbolic AI lacks the flexibility and scalability of deep learning. This handbook directly addresses these challenges by providing a structured approach to Neuro-symbolic AI, presenting rigorous theoretical foundations, state-of-the-art hybrid techniques (e.g., knowledge graphs, compositionality, category theory), and diverse real-world applications. This book consolidates research insights, methodological innovations, and practical use cases into a single, accessible volume. The book is structured into four parts—Foundational Principles, Hybrid Models and Techniques, Real-World Applications, and Emerging Challenges. It brings together cutting-edge research and expert perspectives to highlight how Neuro-Symbolic AI enhances interpretability, reasoning capabilities, and trust in intelligent systems. This book addresses the critical challenge faced by AI researchers and practitioners: how to build intelligent systems that combine the learning capacity of neural networks with the reasoning ability of symbolic methods. Readers often struggle with the lack of unified frameworks, practical tools, and clear guidance for integrating these two approaches. This book provides readers with a comprehensive, structured, and interdisciplinary resource that captures the evolving landscape of Neuro-Symbolic AI.

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