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Books in Engineering general

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    • BioMEMS Devices

      • 1st Edition
      • Azrul Azlan Hamzah + 2 more
      • English
      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.

    • Biomechanics of Orofacial Organs and Structures

      • 1st Edition
      • 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 orofacial organs, 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:General knowledge about orofacial organs and structuresBiomechani... modelsClinical applicationsA 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.

    • Applied Artificial Intelligence for Engineering Applications

      Empowering Transformative Innovations in Multidisciplinary Engineering
      • 1st Edition
      • Tarek Saadawi + 5 more
      • English
      Applied Artificial Intelligence for Engineering Applications: Empowering Transformative Innovations in Multidisciplinary Engineering offers an integrated view of AI’s transformative potential in multidisciplinary engineering, bridging the gap between AI advances and their applications in various engineering disciplines, including civil, mechanical, electrical, chemical, and robotics. The book starts with an introduction to the field, providing an overview of AI technologies and their relevance to engineering, discussing different AI approaches such as machine learning, reinforcement learning, neural networks, and natural language processing.In addition, the computational tools and software used for each of these approaches are covered, as are AI-driven innovations in electronics design and manufacturing and the role of AI in the development of advanced sensors and IoT devices. Chapters then cover the deployment of AI in specific engineering disciplines, outlining its use in civil engineering, mechanical engineering, production engineering, and chemical engineering. The use of AI as a solution for energy efficiency and management and renewable energy integration is also discussed.

    • Industrial Fault Diagnosis and Remaining Useful Life Prediction

      Cross-Domain, Zero-Sample, and Degradation Modeling Methods
      • 1st Edition
      • Hongpeng Yin + 2 more
      • English
      Industrial Fault Diagnosis and Remaining Useful Life Prediction: Cross-Domain, Zero-Sample, and Degradation Modeling Methods introduces zero-sample learning methods that enable fault diagnosis and Predict Remaining Useful Life (RUL) without the need for labelled fault data. This is particularly valuable in industrial settings where labelled data is scarce or unavailable. Offers step-by-step guidance on implementing zero-shot learning models using real industrial data, reducing the learning curve for practitioners; includes real-world industrial case studies to demonstrate the application of zero-sample learning techniques in various industries, such as manufacturing, energy, and transportation. Such case studies provide readers with actionable insights and practical solutions. The book covers advanced methodologies for predicting the remaining useful life of industrial equipment, supporting readers in optimizing maintenance schedules, reducing downtime and extending the lifespan of critical assets. Covers state-of-the-art algorithms, including deep learning, transfer learning and domain adaptation, tailored for zero-sample scenarios. These tools empower readers to develop robust fault diagnosis and RUL prediction systems, enhancing predictive maintenance capabilities and ensuring the reliability of industrial systems.

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

      • 1st Edition
      • Guozheng Kang + 4 more
      • English
      Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture 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.

    • Network-Constrained Data-Driven Control of High-Speed Railway Systems

      Adaptive and Learning-Based Approaches
      • 1st Edition
      • Deqing Huang + 1 more
      • English
      Network-Constrained Data-Driven Control of High-Speed Rail Systems: Adaptive and Learning-Based Approaches addresses critical challenges in high-speed railway (HSR) operational control systems, focusing on enhancing safety, efficiency, and automation in an era of rapid network expansion. The book introduces a transformative framework for data-driven adaptive control and multi-train cooperative control under dynamic network constraints. It integrates next-generation 5G-R communication to enable real-time train-to-train (T2T) coordination, reducing dependency on fixed infrastructure and addressing vulnerabilities like faded channels and interference. By combining rigorous theoretical analysis with simulations, the book proposes solutions to improve operational precision, resilience against disruptions, and transportation capacity.This resource is helpful for researchers, engineers, and graduate students in high speed railway control systems, offering innovative strategies to advance autonomous operations and meet the demands of high-density, high-speed rail networks

    • Engineering Materials for 3D Printing

      Synthesis, Functionalization to Applications
      • 1st Edition
      • Rupinder Singh + 3 more
      • English
      Engineering Materials for 3D Printing: Synthesis, Functionalization to Applications delves into the transformative world of additive manufacturing, covering the development and characterization of polymer-based materials crafted through processes such as extrusion, sol-gel, and pulverization. Over the past three decades, 3D printing has revolutionized the creation of functional prototypes, utilizing an array of materials like thermoplastics, resins, metals, and alloys. This book explores the advantages of 3D printing over conventional manufacturing, emphasizing its potential for structural and non-structural engineering applications. It stands out for its focus on meta-structure properties, offering insights into the fabrication of engineering prototypes.While existing literature extensively covers manufacturing processes, this work bridges the gap by exploring 3D printable materials for diverse engineering uses.

    • Polymer Nanoparticle Technologies for Gene Delivery and Gene Therapy

      • 1st Edition
      • Seyed Morteza Naghib + 3 more
      • English
      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.

    • 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.

    • 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.