Books in General engineering

Biomechanics of Orofacial Organs and Structures

1st Edition
February 1, 2026
Mohammad Ali Nazari + 2 more
English

Biomechanics of Orofacial Organs and Structures provides fundamental knowledge in functional anatomy and innervation of the orofacial region, in mechanical characteristics of orofacial soft tissues, in the biomechanical modeling of the orofacialorgans, and in their use in the context of clinical applications. The book covers the design of biomechanical models that take into account the anatomy, muscle organization, innervation, and specific mechanical properties of muscles and soft tissue. It also discusses how these functions work under normal conditions, and how they degrade after surgery in the context of aging, or in the context of neuropathy altering the efferent or afferent nervous system in the orofacial region. The book is organized into three parts: I. General knowledge about orofacial organs and structuresII. Biomechanical modelsIII. Clinical applications A new volume in the Biomechanics of Living Organs series, this book features the latest research developments in the truly multidisciplinary scientific domain that tackles the understanding and modeling of basic orofacial functions,which are essential for the quality of life of humans.

BioMEMS Devices

1st Edition
February 1, 2026
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.

Digital Twins of Advanced Materials Processing

1st Edition
January 1, 2026
Tarasankar DebRoy + 1 more
English
Paperback
9 7 8 0 4 4 3 3 2 9 1 8 0
eBook
9 7 8 0 4 4 3 3 2 9 1 9 7

Digital twins represent an emerging technology of immense potential across various industries. Their significance is particularly pronounced within Industry 4.0 and smart manufacturing paradigms, which strive to elevate efficiency and quality through seamless digital integration. By amassing and scrutinizing extensive data streams, digital twins empower data-centric decision-making—a pivotal asset in contemporary industry. Digital Twins of Advanced Materials Processing bridges the gap in comprehensive resources concerning advanced materials processing, a domain characterized by rapid evolution. It provides pragmatic remedies and real-world case studies, catering to tangible implementation needs. Moreover, digital twins hold the capacity to amplify efficiency and innovation within materials processing—a perspective deeply explored within this book, rendering it invaluable for professionals, researchers, and students alike. The prospects of employing digital twins in materials processing span diverse horizons: refining materials innovation, streamlining processes, enabling data-driven maintenance, enhancing product quality, and unearthing insights rooted in data. The book also undertakes the challenge of addressing key issues encompassing data amalgamation and integrity, model validation and calibration, software and data safeguarding, scalability, and cost considerations.

Engineering Materials for 3D Printing

1st Edition
January 1, 2026
Rupinder Singh + 3 more
English

3D printing processes have promising advantages over conventional manufacturing processes from a functional ability viewpoint. In the past 30 years, a variety of additive manufacturing-based 3D printing processes have been reported for the fabrication of functional prototypes, using materials such as thermoplastic, resins, metal and their alloys. While there is a significant amount of information on various 3D printing processes, and materials that may be used in 3D printing-based manufacturing practices for engineering applications, there is far less information on 3D printable materials for structural and non-structural engineering applications. Engineering Materials for 3D Printing fills this gap. The book includes three sections and provides an insight on the development and characterization of polymer-based 3D printed materials by different processes such as extrusion, sol-gel, and pulverization along with meta-structure properties for various structural applications

The Control of Multiple Unmanned Aerial Vehicles

1st Edition
January 1, 2026
Mingyang Xie + 2 more
English

The Control of Multiple Unmanned Aerial Vehicles 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.

Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture

1st Edition
January 1, 2026
Guozheng Kang + 4 more
English

“Machine Learning for Solid Mechanics” fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The book’s focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures.

Foundations of Mathematical Modeling and Analysis in Engineering

1st Edition
December 11, 2025
A. Ted Watson
English
Paperback
9 7 8 0 4 4 3 2 9 5 9 2 8
eBook
9 7 8 0 4 4 3 2 9 5 9 3 5

Foundations of Mathematical Modeling and Analysis for Engineering is designed for first-year graduate and advanced undergraduate engineering students. The book explores linear system theory and demonstrates its application in developing analytical solutions to various equations, essential for describing physical systems through mathematical modeling. This foundation is crucial for learning and research in engineering and various scientific fields. It equips students with the mathematical tools needed to solve entire classes of linear algebraic, ordinary-, and partial-differential equations, while also teaching principles for formulating, organizing, and solving linear subsystems, all of which are vital components of both linear and nonlinear mathematical models. This knowledge prepares students for advanced studies in engineering, applied mathematics, and foundational sciences.

Polymer Nanoparticle Technologies for Gene Delivery and Gene Therapy

1st Edition
December 1, 2025
Seyed Morteza Naghib + 3 more
English
Paperback
9 7 8 0 4 4 3 3 1 4 9 0 2
eBook
9 7 8 0 4 4 3 3 1 4 9 1 9

Polymer Nanoparticle Technologies for Gene Delivery and Gene Therapy focuses on the concept of polymer nanoparticles applications in gene delivery and gene therapy. Gene therapy is a relatively young branch of medicine that has the potential to relieve and treat numerous illnesses that are resistant to standard treatment. Polymers used to form nanoparticles can be both synthetic and natural polymers. These nanocarriers have been demonstrated for use as a variety of applications: such as drug delivery, imaging, and detection of apoptosis. This book covers many of the cationic polymers have been studied both in vitro and in vivo for gene delivery.

Event-Driven State Estimation for Stochastic Networked Systems

1st Edition
December 1, 2025
Cong Huang + 2 more
English
Paperback
9 7 8 0 4 4 3 4 5 0 1 4 3
eBook
9 7 8 0 4 4 3 4 5 0 1 5 0

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

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.

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