Books in Engineering general

BioMEMS Devices

1st Edition
November 1, 2025
Azrul Azlan Hamzah + 2 more
English
Paperback
9 7 8 0 4 4 3 2 4 0 1 5 7
eBook
9 7 8 0 4 4 3 2 4 0 1 4 0

BioMEMS Devices covers the fundamentals of bioMEMS and discusses how MEMS are implemented into biomedical devices. The book discusses the most up-to-date technologies, including the various types of electrochemical, optical, and mechanical MEMS sensors. Other topics include bio cell and particle separation and filtration using microfluidic platform such as dielectrophoresis (DEP) and microfilters. MEMS devices for drug mixing, pumping and transdermal drug delivery using microneedles and micropumps are also discussed, along with recent advances in point-of-care diagnostics and MEMS in medical implantsThe book concludes with a discussion on integration of bioMEMS system with IoT, medical practitioners’ adaptation of the devices, market penetration, emerging technologies, and future outlooks.

Deep Learning for Image Recognition

1st Edition
October 1, 2025
Peng Long + 1 more
English

The book 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

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.

Deep Learning

1st Edition
July 1, 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 introduces the fundamental theories of deep learning, engineering practices, and their deployment and application in the industry. It 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, it covers the applications of these models in areas such as image classification, object detection, semantic segmentation, etc. The book also considers the advancements in deep reinforcement learning and generative adversarial networks.

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.

Sliding Mode Control of Fractional-order Systems

1st Edition
March 28, 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
eBook
9 7 8 0 3 2 3 8 8 4 8 3 9

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.

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