Books in General engineering

Deep Learning for Image Recognition

1st Edition
November 3, 2025
Peng Long + 1 more
English
Paperback
9 7 8 0 4 4 3 4 3 9 5 0 6
eBook
9 7 8 0 4 4 3 4 3 9 5 1 3

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.

Numerical Methods

5th Edition
September 1, 2025
George Lindfield + 1 more
English
Paperback
9 7 8 0 4 4 3 2 6 4 9 8 6
eBook
9 7 8 0 4 4 3 2 6 4 9 9 3

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.

Introduction to Digital Communications

2nd Edition
August 1, 2025
Ali Grami
English
Paperback
9 7 8 0 4 4 3 2 3 7 9 5 9
eBook
9 7 8 0 4 4 3 2 3 7 9 4 2

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
July 25, 2025
Abdelwahed Barkaoui + 2 more
English
Paperback
9 7 8 0 4 4 3 2 8 9 7 5 0
eBook
9 7 8 0 4 4 3 2 8 9 7 6 7

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

1st Edition
July 25, 2025
Robert C. Kaebisch
English
Paperback
9 7 8 0 4 4 3 3 6 5 9 3 5
eBook
9 7 8 0 4 4 3 3 6 5 9 4 2

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
July 21, 2025
Jinbin Ding
English
Paperback
9 7 8 0 4 4 3 3 6 7 5 7 1
eBook
9 7 8 0 4 4 3 3 6 7 5 8 8

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

1st Edition
July 18, 2025
Shuhao Wang + 1 more
English
Paperback
9 7 8 0 4 4 3 4 3 9 5 4 4
eBook
9 7 8 0 4 4 3 4 3 9 5 5 1

Deep Learning: From Algorithmic Essence to Industrial Practice serves as a comprehensive guide, bridging the gap between foundational theories and real-world implementation. The book delves into the mechanisms behind deep learning models, breaking down complex algorithms into digestible explanations. Engineering students, AI enthusiasts, and professionals alike will find this resource invaluable as it navigates the intricacies of training neural networks, optimizing performance, and effectively deploying them in various sectors. Beyond theoretical knowledge, the book emphasizes practical applications, showcasing how deep learning powers advancements in fields like healthcare, finance, and autonomous systems.It also discusses the challenges of scaling models, the ethical considerations surrounding AI, and the future trajectory of this transformative technology. With its blend of academic rigor and industrial insights, this book equips readers with the tools to innovate and lead in the ever-evolving world of artificial intelligence.

The Prediction of Future Pandemics

1st Edition
June 19, 2025
Ali Ahmadian + 4 more
English
Paperback
9 7 8 0 4 4 3 3 3 8 7 1 7
eBook
9 7 8 0 4 4 3 3 3 8 7 2 4

Prediction of the Future Pandemic: Artificial Intelligence and Nanotechnology Approaches provides a comprehensive account of the applications, challenges, and breakthroughs in using AI and nanotechnology for pandemic prediction. The book emphasizes interdisciplinary collaboration among experts and a global perspective on the prediction of future pandemics. Sections provide a comprehensive exploration of cutting-edge methodologies that leverage AI and nanotechnology to predict, analyze, and combat future pandemics. This book aims to bridge the gap between theoretical concepts and practical applications, offering insights into the integration of these advanced technologies for more accurate, timely, and ethical pandemic predictions.

Fundamentals of Uncertainty Quantification for Engineers

1st Edition
May 5, 2025
Yan Wang + 2 more
English
Paperback
9 7 8 0 4 4 3 1 3 6 6 1 0
eBook
9 7 8 0 4 4 3 1 3 6 6 2 7

Fundamentals of Uncertainty Quantification for Engineers: Methods and Models provides a comprehensive introduction to uncertainty quantification (UQ) accompanied by a wide variety of applied examples and implementation details to reinforce the concepts outlined in the book. Sections start with an introduction to the history of probability theory and an overview of recent developments of UQ methods in the domains of applied mathematics and data science. Major concepts of copula, Monte Carlo sampling, Markov chain Monte Carlo, polynomial regression, Gaussian process regression, polynomial chaos expansion, stochastic collocation, Bayesian inference, modelform uncertainty, multi-fidelity modeling, model validation, local and global sensitivity analyses, linear and nonlinear dimensionality reduction are included. Advanced UQ methods are also introduced, including stochastic processes, stochastic differential equations, random fields, fractional stochastic differential equations, hidden Markov model, linear Gaussian state space model, as well as non-probabilistic methods such as robust Bayesian analysis, Dempster-Shafer theory, imprecise probability, and interval probability. The book also includes example applications in multiscale modeling, reliability, fatigue, materials design, machine learning, and decision making.

Integral Manifolds for Impulsive Differential Problems with Applications

1st Edition
April 24, 2025
Ivanka Stamova + 1 more
English
Paperback
9 7 8 0 4 4 3 3 0 1 3 4 6
eBook
9 7 8 0 4 4 3 3 0 1 3 5 3

Integral Manifolds for Impulsive Differential Problems with Applications offers readers a comprehensive resource on integral manifolds for different classes of differential equations which will be of prime importance to researchers in applied mathematics, engineering, and physics. The book offers a highly application-oriented approach, reviewing the qualitative properties of integral manifolds which have significant practical applications in emerging areas such as optimal control, biology, mechanics, medicine, biotechnologies, electronics, and economics. For applied scientists, this will be an important introduction to the qualitative theory of impulsive and fractional equations which will be key in their initial steps towards adopting results and methods in their research.

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