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Books in Physical sciences and engineering

  • MATLAB Scientific Plotting and Data Analysis

    • 1st Edition
    • Jinbin Ding
    • English
    MATLAB Scientific Plotting and Data Analysis combines the author's extensive experience in data analysis and scientific plotting to provide detailed explanations of the methods and techniques for using MATLAB. The book is divided into three parts, consisting of 12 chapters. The first part covers the basics of MATLAB, including the operating environment, data types and basic operations, file operations, and programming. The second part focuses on MATLAB's data visualization capabilities, with topics such as figure window information, 2D plotting, 3D plotting, specialized plotting, and handle graphics objects.The third part covers descriptive data analysis, interpolation and fitting, regression analysis, and optimization problem solving. Furthermore, this book provides links to over 200 examples of teaching videos and hands-on exercise resource files, enhancing readers' learning efficiency.
  • Theoretical Foundations of Quantum Computing

    • 1st Edition
    • Daowen Qiu
    • English
    Theoretical Foundations of Quantum Computing is an essential textbook for introductory courses in the quantum computing discipline. Quantum computing represents a paradigm shift in understanding computation. This textbook delves into the principles of quantum mechanics that underpin this revolutionary technology, making it invaluable for undergraduate and graduate students in computer science and related fields. Structured into eight meticulously crafted chapters, it covers everything from the historical context of quantum computing to advanced theories and applications. The book includes core topics such as basic models, quantum algorithms, cryptography, communication protocols, complexity, and error correction codes.Each chapter builds upon the last, ensuring a robust understanding of foundational concepts and cutting-edge research. It serves as both a foundational resource for students and a comprehensive guide for researchers interested in quantum computing. Its clarity makes it an excellent reference for deepening understanding or engaging in advanced research.
  • Deep Learning

    From Algorithmic Essence to Industrial Practice
    • 1st Edition
    • Shuhao Wang + 1 more
    • English
    Deep Learning: From Algorithmic Essence to Industrial Practice introduces the fundamental theories of deep learning, engineering practices, and their deployment and application in the industry. This book provides a detailed explanation of classic convolutional neural networks, recurrent neural networks, and transformer networks based on self-attention mechanisms, along with their variants, combining code demonstrations. Additionally, this book covers the applications of these models in areas including image classification, object detection, and semantic segmentation. This book also considers advancements in deep reinforcement learning and generative adversarial networks making it suitable for graduate and senior undergraduate students with backgrounds in computer science, automation, electronics, communications, mathematics, and physics, as well as professional technical personnel who wish to work or are preparing to transition into the field of artificial intelligenceThe code for book may be accessed by visiting the companion website: https://www.elsevier...
  • Immunomodulatory Biomaterials and Nano-immunotherapies

    • 1st Edition
    • Thomas J. Webster + 1 more
    • English
    Immunomodulatory Biomaterials and Nano-immunotherapies reviews the general cellular and biochemical barriers of the tumor microenvironment and other immune diseases, the ways they are addressed by modern immunotherapies, and the specific barriers facing particular immunotherapeutic approaches. The latest research on immunomodulatory biomaterials is examined, providing a perspective on their future opportunities in modulating disease treatment strategies. Translational considerations and lessons learned from the various components of nanotechnology-enabl... immunotherapies, including conventional immunotherapies, nuc... acids, nanotechnology, and biotechnology-based therapeutics are assessed. Finally, a framework for the development of the next generation of nanotechnology-enabl... immunotherapies is detailed, providing guidance and suggestions for those interested in the development of novel immunomodulatory nanobiomaterials. Immunomodulatory Biomaterials and Nano-immunotherapies is a key reference for researchers and developers working in biomaterials, nanotechnology, immunology, biomedical engineering and pharmaceutical sciences.
  • Computational Biomechanics of Human Joints

    • 1st Edition
    • Abdelwahed Barkaoui + 2 more
    • English
    Computational Biomechanics of Human Joints delves into the intricate details of each joint, exploring anatomical, mechanical, pathological, and therapeutic aspects. The book offers a comprehensive understanding of joint biomechanics by dedicating each chapter to specific joints, detailing their anatomical structure, biomechanical mechanisms, associated diseases, and pathologies. It also covers treatments, surgical interventions, and imaging-based modeling alongside numerical simulation techniques using the finite element method. This approach provides readers with an innovative perspective on the technological advancements in joint biomechanics. In addition to exploring joint-specific details, the book discusses the advantages and limitations of modern techniques.Finally, the book emphasizes the potential for these methods to improve clinical decision-making, optimize personalized treatments, and design medical devices. The integration of advanced modeling and simulation techniques enhances the understanding of the complex mechanisms of joints, contributing significantly to both academic research and practical clinical applications.
  • Up and Running with AutoCAD 2026

    2D and 3D Drawing, Design and Modeling
    • 1st Edition
    • Robert C. Kaebisch + 1 more
    • English
    Up and Running with AutoCAD 2026: 2D and 3D Drawing, Design and Modeling presents a combination of step-by-step instructions, examples, and insightful explanations. The book emphasizes core concepts and practical application of AutoCAD in engineering, architecture, and design. Equally useful in instructor-led classroom training, self-study, or as a professional reference, the book is written by a long-time AutoCAD professor and instructor with the user in mind.
  • The Alkaloids

    • 1st Edition
    • Volume 94
    • English
    The Alkaloids: Chemistry and Biology, Volume 94, the newest release in a series that has covered the topic for more than 60 years, discusses key aspects of alkaloid chemistry, biology and pharmacology. Sections in this release include chapters on topics such as guanidine alkaloids from marine sponges, the chemistry and biology of imidazole, oxazole, and thiazole alkaloids, quinoline and quinazoline alkaloids, pyrazole and indazole alkaloids, and Stemona alkaloids, offering valuable insights into their structures, biosynthesis, and biological activities.
  • Sustainable Nanomaterials

    • 1st Edition
    • Manviri Rani + 1 more
    • English
    Sustainable Nanomaterials provides core and advanced information about various sustainable nanomaterials and their synthetic approaches to natural and renewable resources. It summarizes various regulatory initiatives for ensuring sustainability goals and legal aspects of sustainable nanomaterials.This book also addresses potential nanomaterial risks and concludes that green nanotechnology is a concept that needs to be embedded and promoted in regulatory and voluntary initiatives to ensure nanotechnology’s sustainable development.This is a useful resource for advanced students, as well as environmental engineers, researchers, and the environmental industry.
  • Data-Driven Insights and Analytics for Measurable Sustainable Development Goals

    • 1st Edition
    • 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
    • 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.