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Books in Physical sciences and engineering

  • Introduction to Statistical Machine Learning

    • 2nd Edition
    • Masashi Sugiyama + 1 more
    • English
    Machine learning allows computers to learn and discern patterns without being programmed. When Statistical techniques and machine learning are combined together, they are a powerful tool for analyzing various kinds of data in many computer science/engineering areas, including image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning, Second Edition provides a general introduction to machine learning that covers a wide range of topics concisely and will help readers bridge the gap between theory and practice. Parts 1 and 2 discuss the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part 3 and Part 4 explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Parts 5 and 6 provide an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice, including creating full-fledged algorithms in a range of real-world applications drawn from research areas such as image processing, speech processing, natural language processing, robot control, as well as biology, medicine, astronomy, physics, and materials. The algorithms developed in the book include Python program code to provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks. The Second Edition also includes an all-new Part 6 on on Deep Learning, including chapters on Feedforward Neural Networks, Neural Networks with Image Data, Neural Networks with Sequential Data, learning from limited data, Representation Learning, Deep Generative Modeling, and Multimodal Learning.

  • Water Pollution and Water Quality: Technologies and Processes

    • 1st Edition
    • Didem Saloglu + 2 more
    • English
    Water Pollution and Water Quality: Technologies and Processes offers a comprehensive and accessible overview of water pollution and water quality. It covers a wide range of topics, including the sources, effects, and impacts of water pollution, water chemistry, microorganisms in water, guidelines and standards for water quality and health, objectives and methods of wastewater treatment, and advanced wastewater treatment processes. The book also explores the impacts of water pollution on human health, natural ecosystems, and biodiversity, as well as policy-making to control water pollution, water footprint, and future scenarios for water pollution. It provides basic information on water pollution and water quality, making it suitable for graduate and post-graduate students, researchers, and professionals in in chemical engineering, environmental engineering, chemistry, industrial engineering, and disaster science and engineering. The book also highlights innovative approaches, new technologies, and solution strategies in addressing water pollution and water quality issues, and discusses the global problems and new developments in recent years.

  • Automotive-Grade Electronics

    Reliability Design Theory, Development Process, and Full Lifetime Management
    • 1st Edition
    • Chenggang Zuo + 1 more
    • English
    At a time when the new energy and automatic pilot vehicle industry is undergoing rapid expansion, Automotive-Grade Electronics: Reliability Design Theory, Development Process, and Full Lifetime Management provides readers with a comprehensive, up to date, expert, and best practice reference resource. The number of ECUs (Electronic Control Units) in vehicles has increased rapidly and a key concern for the industry is how to ensure high reliability for the lifetime of automotive electronic components and parts. This timely book addresses this issue at system level. This book fills a gap in the current literature by providing readers with a systematic exploration of reliability design theory, development processes and full lifetime management of automotive-grade electronics, for both components and parts. The book takes a unique industry perspective, drawing upon the authors' two decades of experience in the electronics industry.

  • Cyclodextrin Glucanotransferase

    A Comprehensive Guide from Gene to Applications
    • 1st Edition
    • Kiransinh Rajput
    • English
    Cyclodextrin Glucanotransferase: A Comprehensive Guide from Gene to Applications explores the role of cyclodextrin glucanotransferase (CGTase) in starch degradation and its applications. Sections cover the production of CGTase by different bacterial genera, including Bacillus spp., and purification strategies. It delves into the structural and functional characteristics of CGTase, highlighting its catalytic mechanisms, substrate specificity, and factors affecting enzyme activity and stability. Additional sections explore recombinant CGTases, their properties, and advancements in protein engineering and enzyme immobilization. With a strong focus on practical applications, the book discusses inclusion complex formation and a wide range of industrial uses in pharmaceuticals, textiles, bioremediation, and food.Detailed case studies and real-world examples illustrate how CGTase and cyclodextrins can address specific challenges and drive innovation in these fields. This book is an essential resource for applied science researchers working in the field of starch processing enzymes, providing them with the knowledge to advance their research and development. It also serves as a valuable reference for researchers in the starch processing industries, offering insights into the latest advancements and practical applications of CGTase and cyclodextrins.

  • Explainable AI for Transparent and Trustworthy Medical Decision Support

    • 1st Edition
    • Abhishek Kumar + 4 more
    • English
    Explainable AI for Transparent and Trustworthy Medical Decision Support equips readers with a comprehensive and timely resource that presents the principles, methodologies, and real-world applications of explainable AI (XAI) within the medical context. Covering a wide range of use cases—from radiology and pathology to genomics and clinical decision support systems—the book provides in-depth discussions on how XAI techniques can enhance interpretability, improve clinician trust, meet regulatory requirements, and ultimately lead to better patient outcomes. AI has revolutionized the medical field, powering intelligent systems that assist in diagnostics, treatment planning, risk prediction, and patient management. However, as these models grow increasingly complex, their "black-box" nature has raised critical concerns about trust, transparency, accountability, and clinical adoption. Medical professionals, researchers, and patients alike are now demanding systems that not only perform with high accuracy but also offer clear explanations behind their decisions. This has led to a pressing need for Explainable Artificial Intelligence (XAI) in healthcare—a field where every decision can significantly impact human life. This book demystifies the workings of machine learning models and highlights techniques that make them interpretable. It is designed to empower not only AI researchers and developers but also healthcare administrators and policy makers with the knowledge needed to evaluate, adopt, and trust AI solutions in critical medical applications. The authors bring together theory, implementation strategies, ethical implications, and case studies under one cover, offering a multidisciplinary perspective that aligns computer science with medical practice and healthcare policy. By reading this book, readers will gain a practical and theoretical understanding of XAI concepts, tools, and techniques tailored for medical decision support. It will help them design systems that are not only accurate and efficient but also interpretable, transparent, and aligned with human-centric values.

  • Bioremediation of Emerging Contaminants in Soil using Biochar

    Theories and Practices
    • 1st Edition
    • Shiv Vendra Singh + 3 more
    • English
    Bioremediation of Emerging Contaminants from Soil using Biochar: Theory and Practices covers the pressing issue of contaminants of emerging concern (CEC) in the soil ecosystem, emphasizing the threat they pose to environmental health. With a focus on pollutants like microplastic compounds, phenols, pharmaceuticals, heavy metals, and more, the book explores the use of biochar as a cost-effective and efficient solution for soil remediation. It highlights the importance of surface modified nanobiochar and other innovative approaches in tackling these pollutants effectively. The Table of Contents includes sections on the occurrence and fates of contaminants in soil, agroecological consequences, recent advancements in biochar production, and tailored biochar composites for bioremediation. Chapters cover topics such as biochar-assisted removal of micro/nano plastics, decontamination of personal care products, and phyto-remediation of contaminants. Future prospects and challenges in biochar-led remediation are also discussed, making it a comprehensive resource for those interested in environmental cleanup technologies. This edited book will be valuable for undergraduates, postgraduates, researchers, and professors exploring biochar applications in bioremediation. It offers insights into high-quality biochar production and its role in remediating soil and aqueous ecosystems, particularly in addressing emerging contaminants and heavy metals. With a focus on practical applications and scientific advancements, this book serves as a comprehensive guide for those working towards sustainable environmental protection and waste cleanup.

  • Artificial Intelligence Applications for High-Performance Built Environments

    • 1st Edition
    • Shuai Lu + 2 more
    • English
    Artificial Intelligence Applications for High-Performance Built Environments draws on the authors’ international academic and industry experience to provide readers with a comprehensive overview of the beneficial impact of AI to the building industry, with both theoretical insights and real-world applications. Demonstrates to readers how many building industry challenges can be successfully addressed using intelligent technologies. Presents detailed, cutting-edge methods of applying AI to a range of building industry procedures and performance aspects of the built environment, enabling readers to use AI solutions to address similar problems they may be confronted with in their projects/investigati... Suggests models, algorithms and tools providing a practical pathway for readers to apply AI technologies across the entire building process lifecycle to enhance innovation, efficiency and productivity. The emphasis on intelligence technologies appeals equally to academic and industry-based readers who are interested in getting in front of the sector’s technology curve and also discovering innovative, practical solutions

  • Knowledge Graphs and Large Language Models

    Current Approaches, Challenges, and Future Directions
    • 1st Edition
    • Sanju Tiwari + 3 more
    • English
    Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions explores the cutting-edge fusion of two powerful artificial intelligence technologies: Large Language Models (LLMs) and Knowledge Graphs (KGs). LLMs have revolutionized our daily lives with their ability to generate human-like text, perform text classification, translate languages, summarize content, and even code. Meanwhile, KGs have structured information for decades, enabling machine-processable data and inference between real-world entities. This book addresses the growing interest in combining LLMs and KGs to leverage their respective strengths, enhancing machines' ability to process, interpret, and generate information with context and accuracy.The book is structured to provide a comprehensive understanding of this emerging field. Chapter 1 introduces the synergy between LLMs and KGs, setting the stage for the subsequent chapters. Chapter 2 delves into the capabilities and challenges of LLMs, while Chapter 3 focuses on the structure, function, and significance of KGs. Chapter 4 presents a conceptual framework for bridging LLMs and KGs, followed by Chapter 5, which discusses techniques for their integration. Chapters 6 and 7 explore how LLMs can enhance KGs and vice versa. Chapter 8 showcases applications of LLM-KG synergy across various domains. Chapter 9 addresses ethical, social, and technical challenges, and Chapter 10 looks ahead to future innovations. The book concludes with Chapter 11, summarizing key insights and advancements in intelligent systems.Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions is an essential resource for graduate students, researchers, and professionals in computer science. It offers valuable insights for adopting LLMs, KGs, and their advanced applications in research and product development. By bridging the gap between these technologies, this book equips readers with the knowledge to drive innovation and enhance the capabilities of intelligent systems.

  • 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 the Sustainable Development Goals (SDGs). This book 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.

  • The Circular Economy in Clean Energy

    Recycling, Reuse, and Waste-to-Energy Innovations
    • 1st Edition
    • Vikas Khare + 2 more
    • English
    The Circular Economy and their Management: Recycling, Reuse, and Waste-to-Energy Innovations examines how circular economy principles can revolutionize the clean energy sector. It provides a comprehensive roadmap for integrating sustainable practices into energy systems, focusing on innovative strategies for recycling, reusing materials, and converting waste into energy. Through detailed case studies, cutting-edge research, and practical insights, it addresses the urgent need to transition from a linear "take-make-dispose" model to a circular approach that minimizes waste, maximizes resource efficiency, and supports the global energy transition. From advanced recycling technologies to waste-to-energy innovations and policy frameworks, this book equips readers with the knowledge and tools to drive sustainable change in industries, governments, and communities. It is an essential resource for researchers, policymakers, industry leaders, and students seeking to understand and implement circular economy solutions in the clean energy landscape

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