Skip to main content
Elsevier
View Cart
Your Account

Books in General engineering

BooksJournals

Computational Biomechanics of Human Joints

  • 1st Edition
  • June 1, 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 deep into each joint, covering the anatomical, mechanical, pathological, and therapeutic aspects. Each chapter is dedicated to a specific joint, providing an in-depth understanding of its anatomical structure, biomechanical mechanisms, associated diseases and pathologies, available treatments, surgical interventions, as well as imaging-based modelling and numerical simulation techniques using the finite element method. By integrating modelling and numerical simulation techniques into the exploration of joint biomechanics, this book offers readers an innovative perspective and a thorough understanding of the possibilities afforded by these technological advances. It also highlights the advantages and limitations of these methods and discusses their potential to improve clinical decision-making, optimize personalized treatments, design medical devices, and enhance understanding of the intricate mechanisms of joints.

Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems

  • 1st Edition
  • June 1, 2025
  • Jinhui Zhang
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 0 0 5 6 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 0 0 5 7 - 8
Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems introduces a range of innovative composite disturbance rejection control methods, integrating DOB, ADRC, and other advanced control algorithms. These methods are poised to enhance the control performance of diverse practical control systems in the presence of disturbances. Disturbances are pervasive in modern engineering systems, exerting a nonnegligible negative influence on system performance, and conventional control methods like PID exhibit limited efficacy in managing disturbances, while certain advanced control approaches face practical implementation challenges in real-world control systems for a multitude of reasons.

The Prediction of Future Pandemics

  • 1st Edition
  • June 1, 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 1, 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, implementation details, and practical exercises to reinforce the concepts outlined in the book. Sections start with a review of the history of probability theory and recent developments of UQ methods in the domains of applied mathematics and data science. Major concepts of probability axioms, conditional probability, and Bayes’ rule are discussed and examples of probability distributions in parametric data analysis, reliability, risk analysis, and materials informatics are included.Random processes, sampling methods, and surrogate modeling techniques including multivariate polynomial regression, Gaussian process regression, multi-fidelity surrogate, support-vector machine, and decision tress are also covered. Methods for model selection, calibration, and validation are introduced next, followed by chapters on sensitivity analysis, stochastic expansion methods, Markov models, and non-probabilistic methods. The book concludes with a chapter describing the methods that can be used to predict UQ in systems, such as Monte Carlo, stochastic expansion, upscaling, Langevin dynamics, and inverse problems, with example applications in multiscale modeling, simulations, and materials design.

Integral Manifolds for Impulsive Differential Problems with Applications

  • 1st Edition
  • May 1, 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.

Sliding Mode Control of Fractional-order Systems

  • 1st Edition
  • May 1, 2025
  • Hamid Reza Karimi + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 1 6 9 6 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 1 6 9 7 - 5
In the fields of dynamical systems and control theory, a fractional-order system is a dynamical system that can be modeled by a fractional differential equation containing derivatives of non-integer order. In control systems, sliding mode control (SMC) is a nonlinear control method that alters the dynamics of a nonlinear system by applying a discontinuous control signal (or more rigorously, a set-valued control signal) that forces the system to "slide" along a cross-section of the system's normal behavior. Sliding Mode Control of Fractional-order Systems discusses the design of several types of fractional-order systems. Sliding mode control strategy allows the exploration of the problems of projection synchronization control, finite-time stability, asymptotic stability, and formation control of fractional-order systems, which make up the shortages in the analysis and design of fractional-order systems. The book focuses on several types of fractional-order control systems, combined with the sliding-mode control (SMC) and event-triggered control, the problems of projection synchronization control, finite-time stability, asymptotic stability, and formation control for those systems are explored, which makes up the shortages in the analysis and design of fractional-order systems.

Biologically Inspired Series-Parallel Hybrid Robots

  • 1st Edition
  • November 27, 2024
  • Shivesh Kumar + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 8 8 4 8 2 - 2
Biologically Inspired Series-Parallel Hybrid Robots: Design, Analysis and Control provides an extensive review of the state-of-the-art in series-parallel hybrid robots, covering all aspects of their mechatronic system design, modelling, and control. This book highlights the modular and distributed aspects of their mechanical, electronics, and software design, introducing various modern methods for modelling the kinematics and dynamics of complex robots. These methods are also introduced in the form of algorithms or pseudo-code which can be easily programmed with modern programming languages. Presenting case studies on various popular series-parallel hybrid robots which will inspire new robot developers, this book will be especially useful for academic and industrial researchers in this exciting field, as well as graduate-level students to bring them closer to the latest technology in mechanical design and control aspects of the area.

Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems

  • 1st Edition
  • November 16, 2024
  • D. Jude Hemanth + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 0 4 9 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 0 4 8 - 5
Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems explores the potential benefits and applications of emerging technologies such as metaverse and AoT in the field of healthcare. The book provides insights into how these technologies can be leveraged to improve the efficiency, effectiveness, and quality of medical systems. It explores the concept of metaverse and its potential applications in healthcare, including the use of virtual and augmented reality technologies for medical education, training, and simulation, as well as the development of immersive environments for patient care and therapy.The book also delves into the field of AoT, such as the use of wearable devices, smart sensors, and other connected technologies. Applications to monitor patient health, track medical outcomes, and inform clinical decision-making are covered. Integrating both technologies can help improve medical training, diagnosis, treatment, and patient outcomes through the use of virtual reality and real-time data analytics.

Case Studies in Mathematical Modeling for Medical Devices

  • 1st Edition
  • November 12, 2024
  • John Crowe
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 4 7 2 - 3
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 4 7 3 - 0
Case Studies in Mathematical Modelling for Medical Devices: How Pulse Oximeters and Doppler Ultrasound Fetal Heart Rate Monitors Work focuses on two medical devices: pulse oximeters and Doppler ultrasound fetal heart rate monitors. The mathematical topics needed to explain their operation from first principles are introduced. These broadly cover the statistics of random processes and Fourier based signal processing. They are used to explain the devices’ operation from first principles to how clinically relevant information is extracted from the devices’ raw outputs. .The book is for MSc and PhD students working in the area who want a quick, clear introduction to the topics, upper-division undergrads as part of biomedical engineering or applied math degree courses, biomedical engineers looking for a quick "refresher course" and clinicians interested in the operation of the instruments they use.

Reliability Assessment and Optimization of Complex Systems

  • 1st Edition
  • October 31, 2024
  • Akshay Kumar + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 9 1 1 2 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 9 1 1 3 - 5
Reliability Assessment and Optimization of Complex Systems delves into a range of tools and techniques for designing optimized complex systems. Each chapter explores system modeling and the implementation of various metaheuristics for optimization purposes. This book provides readers in the domain of applied mathematics with a comprehensive understanding of system reliability analysis and improvement, thereby offering substantial value to their knowledge and expertise. System reliability has become the paramount attribute of any production unit. The process of maximizing system reliability while adhering to multiple constraints is referred to as reliability optimization.There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance).

Related subjects

Computing for engineers and scientists

Engineering design

Engineering drawing

Engineering general

Engineering mathematics