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Books in General engineering

Our General Engineering collection provides a broad foundation across multiple engineering disciplines, including fundamentals, design principles, and interdisciplinary innovations. It supports researchers, students, and professionals with essential tools and insights to tackle complex engineering challenges, foster innovation, and integrate emerging technologies such as AI, sustainability practices, and smart manufacturing.

BooksJournals

  • Foundations of Mathematical Modeling and Analysis in Engineering

    • 1st Edition
    • A. Ted Watson
    • English
    Foundations of Mathematical Modeling and Analysis in Engineering offers a comprehensivepresent... of the mathematical principles underpinning modern engineering and the quantitative sciences, and develops mathematical modeling as a foundational intellectual discipline. Designed for graduate and advanced undergraduate students, and accessible to seasoned professionals, it provides the means to develop and employ mathematical representations of physical processes and systems.

  • The Control of Multiple Unmanned Aerial Vehicles

    Synthesis, Functionalization to Applications
    • 1st Edition
    • Mingyang Xie + 2 more
    • English
    The Control of Multiple Unmanned Aerial Vehicles: Synthesis, Functionalization to Applications provides readers with a unified framework to address the challenges of multi-UAV target encirclement tracking control. This is achieved by comprehensively integrating the concepts of dynamic modelling, state and disturbance estimation, guidance law design, distributed control, obstacle avoidance and reinforcement learning-based formation tracking control with multi-UAV encirclement tracking systems. The book provides practical insight and solutions to the challenges of multi-UAV use, including limited sensing, communication constraint, wind disturbances and obstacle and collision avoidance, enabling readers to effectively apply the concepts to their work or research. Cutting-edge control techniques and advanced theories are explored, including robust distributed control, adaptive neural network approximation, reinforcement learning and multi-agent systems, presenting readers with state-of-the-art methodologies from which to develop practical applications of UAV formation. Each guidance and control method presented in the book is accompanied by a thorough comprehensive analysis to ensure that each is theoretically grounded. The book ensures transparency by providing open-access simulation codes, allowing readers to easily access and reproduce presented results.

  • Numerical Methods

    Using MATLAB
    • 5th Edition
    • George Lindfield + 1 more
    • English
    Numerical Methods Using MATLAB®, Fifth Edition continues to provide a clear and rigorous introduction to a wide range of numerical methods that have practical applications. The authors’ approach is to integrate MATLAB with numerical analysis in a way which adds clarity to the numerical analysis and develops familiarity with MATLAB. MATLAB graphics and numerical output are used extensively to clarify complex problems and give a deeper understanding of their nature. The text provides an extensive reference providing numerous useful and important numerical algorithms that are implemented in MATLAB to help researchers analyze a particular outcome.By using MATLAB it is possible for the readers to tackle some large and difficult problems and deepen and consolidate their understanding of problem solving using numerical methods. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization and many other fields. The text will be a valuable aid to people working in a wide range of fields, such as engineering, science and economics.

  • Deep Learning for Image Recognition

    • 1st Edition
    • Peng Long + 1 more
    • English
    Deep Learning for Image Recognition provides a detailed explanation of the fundamental theories underpinning image recognition and code for recognition tasks in specific application scenarios. Readers can manipulate the existing code, thereby deepening their understanding. Chapters include project work enabling readers to apply the skills and knowledge gained from that section of the book. Projects are based on the accessible Pytorch framework, which is straightforward to learn and can be replicated and modified. Readers are presented with current research findings and up to date techniques in image recognition and deep learning.

  • Event-Driven State Estimation for Stochastic Networked Systems

    • 1st Edition
    • Cong Huang + 2 more
    • English
    Event-Driven State Estimation for Stochastic Networked Systems offers a comprehensive and clear explanation of recent developments in event-based state estimation for stochastic systems within limited communication networks, bringing together existing and emerging concepts. It provides a series of the latest results in, including but not limited to, recursive state estimation, fusion estimation, and state and fault estimation. The book provides practitioner readers with practical tools for the analysis and design of stochastic systems under limited communication networks, capturing recent advances in theory, technological aspects and real-world applications of advanced event-based state estimation methodologies. Realistic research problems are addressed in each chapter, with numerical and simulation results provided to reflect engineering practice, while demonstrating the main focus of the developed estimation approaches. The book is an advanced-level resource presented in an accessible manner, appealing to senior students as a core reference and to researchers and practitioners alike

  • Introduction to Digital Communications

    • 2nd Edition
    • Ali Grami
    • English
    Introduction to Digital Communications, written especially for upper-level undergraduate courses, explores the basic principles in the analysis and design of digital communication systems, including design objectives, constraints and trade-offs. After portraying the big picture and laying the background material, this book lucidly progresses to a comprehensive and detailed discussion of all critical elements and key functions in digital communications. The second edition has been fully revised, with timely new chapters on wireless enabling systems and encryption, more practical examples, more application-focused real-world end of chapter exercises, and a more crisp and concise approach to the content.

  • 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.

  • 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.

  • 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...

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