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Books in Engineering and technology

The Engineering and Technology portfolio includes comprehensive overviews of all major research and practical developments in aerospace and automotive engineering, civil and environmental engineering, mechanical and industrial engineering, materials engineering, electrical engineering, communications engineering, and more. In-depth coverage, innovative state-of-the-art approaches, and real-world case studies provide valuable, actionable insights for researchers, applied engineers and students. The content in Elsevier's Engineering and Technology books program addresses core issues in industry and society, such as sustainability, the circular economy, AI, and automation.

BooksJournals

    • Pervasive Cardiovascular and Respiratory Monitoring Devices

      • 1st Edition
      • June 22, 2023
      • Miodrag Bolic
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 9 4 7 9
      • eBook
        9 7 8 0 1 2 8 2 0 9 4 8 6
      Pervasive Cardiac and Respiratory Monitoring Devices: Model-Based Design is the first book to combine biomedical instrumentation and model-based design. As the scope is limited to cardiac and respiratory devices only, this book offers more depth of information on these devices; focusing in on signals used for home monitoring and offering additional analysis of these devices. The author offers an insight into new industry and research trends, including advances in contactless monitoring of breathing and heart rate. Each chapter presents a section on current trends. As instrumentation as a field is becoming increasingly smart, basic signal processing is also discussed. Real case-studies for each modelling approach are used, primarily covering blood pressure, ECG and radar-based devices.This title is ideal for teaching and supporting learning as it is written in an accessible style and a solutions manual for the problem sets is provided. It will be useful to 4th year undergraduate students, graduate/masters/PhD students, early career researchers and professionals working on an interdisciplinary project; as it introduces the field and provides real world applications. For engineers this book solves the problem of how to assess and calibrate a medical device to ensure the data collected is trustworthy. For students, this book allows for trying concepts and circuits via simulations and learning modeling techniques. Students will learn concepts from this book and be ready to design bioinstrumentations devices based on specifications/requi...

    • Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure

      • 1st Edition
      • October 18, 2023
      • M. Z. Naser
      • English
      • Paperback
        9 7 8 0 1 2 8 2 4 0 7 3 1
      • eBook
        9 7 8 0 1 2 8 2 4 0 7 4 8
      Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure highlights the growing trend of fostering machine learning to realize contemporary, smart, and safe infrastructure. This volume delves into the latest advancements in machine learning and artificial intelligence, providing readers with practical insights into their applications in the analysis, design, and assessment of civil infrastructure. From the innovative use of Generative Adversarial Networks in the design of shear wall structures to the application of deep learning for damage inspection of concrete structures, each chapter offers a unique perspective on the integration of cutting-edge technology in the field. Explore the potential of AI-driven fire safety design for smart buildings, the challenges and promises of large-scale evacuation modeling, and the use of machine learning classifiers for evaluating liquefaction potential. The book also features an in-depth discussion on explainable machine learning models for predicting the axial capacity of strengthened CFST columns and the development of spalling detection techniques using deep learning. Whether you are a civil engineer, researcher, or industry professional, this book is an invaluable resource that will equip you with the knowledge and tools to revolutionize civil infrastructure design and management. This book presents innovative research results supplemented with case studies from leading researchers in this dynamic and emerging field to be used as benchmarks to carry out future experiments and/or facilitate the development of future experiments and advanced numerical models. The book is delivered as a guide for a wide audience, including senior postgraduate students, academic and industrial researchers, materials scientists, and practicing engineers working in civil, environmental, and mechanical engineering.

    • Introduction to Optimum Design

      • 5th Edition
      • November 15, 2023
      • Jasbir Singh Arora
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 3 2 0 5
      • eBook
        9 7 8 0 1 2 8 1 8 3 2 1 2
      **2025 Textbook and Academic Authors Association (TAA) McGuffey Longevity Award Winner**Introduction to Optimum Design, Fifth Edition is the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in a first course on engineering design and optimization at the undergraduate or graduate level within engineering departments of all disciplines, but primarily within mechanical, aerospace and civil engineering. The basic approach of the text presents an organized approach to engineering design optimization in a rigorous yet simplified manner, illustrating various concepts and procedures with simple examples and demonstrating their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB are featured as learning and teaching aids. This new edition has been enhanced with new or expanded content in such areas as reliability‐based optimization, metamodeling, design of experiments, robust design, nature-inspired metaheuristic search methods, and combinatorial optimizaton.

    • Deep Learning for Medical Image Analysis

      • 2nd Edition
      • November 23, 2023
      • S. Kevin Zhou + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 1 2 4 4
      • eBook
        9 7 8 0 3 2 3 8 5 8 8 8 5
      Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.

    • Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis

      • 1st Edition
      • November 10, 2023
      • Ruqiang Yan + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 9 8 9 2
      • eBook
        9 7 8 0 3 2 3 9 1 4 2 3 9
      Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis introduces the theory and latest applications of transfer learning on rotary machine fault diagnosis and prognosis. Transfer learning-based rotary machine fault diagnosis is a relatively new subject, and this innovative book synthesizes recent advances from academia and industry to provide systematic guidance. Basic principles are described before key questions are answered, including the applicability of transfer learning to rotary machine fault diagnosis and prognosis, technical details of models, and an introduction to deep transfer learning. Case studies for every method are provided, helping readers apply the techniques described in their own work.

    • Reliability Modeling in Industry 4.0

      • 1st Edition
      • March 13, 2023
      • Mangey Ram + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 2 0 4 6
      • eBook
        9 7 8 0 3 2 3 9 9 6 7 3 0
      Reliability Modeling with Industry 4.0 explores the emerging theoretical and practical developments in reliability engineering in highly digitized industries, including power, computer systems, railway systems, and robotics. Drawing on leading research from around the globe, as well as the latest in industry practice, this book provides cutting edge advice on how to integrate a fully digitized industry 4.0 system for enhanced reliability and reduced maintenance cost. Technologies such as big data, artificial intelligence, and the industrial internet of things are addressed in the context of reliability engineering, providing practical advice on applications.

    • Heat Exchange of Tubular Surfaces in a Bubbling Fluidized Bed

      • 1st Edition
      • August 12, 2023
      • Oleksandr Redko + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 6 3 8 4
      • eBook
        9 7 8 0 1 2 8 2 3 2 8 1 1
      Heat Exchange of Tubular Surfaces in a Bubbling Boiling Bed bridges the gap surrounding the study of a boiling bed of large particles with smooth and ribbed pipes, as well as pipe bundles. The book's authors combine results from experimental studies with their varied practical experience in fields of boiling bed applications across various disciplines such as chemical, pharmacological, metallurgical and power engineering industries. This book provides readers with a deep practical understanding of how to calculate the heat engineering parameters of ribbed pipe bundles in a boiling bed, along with the hydrodynamics of the boiling bed.Researchers and experts involved in the design, development and operation of boiling bed apparatus will follow step-by-step methods and procedures to gain knowledge of the hydrodynamic and heat exchange elements of the boiling bed which can be applied to their own settings. The effect of gas velocity, size and properties of the dispersed material, the geometric characteristics of the pipe bundle is also presented, alongside data on the effect of high temperature and high pressure of gas in a dispersed system on heat exchange intensity.

    • Embedded System Design

      • 1st Edition
      • September 14, 2023
      • Lawrence J. Henschen + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 8 4 7 0 3
      • eBook
        9 7 8 0 4 4 3 1 8 4 7 1 0
      Embedded Systems Design: Methodologies and Issues presents methodologies for designing these systems and discusses major issues, both present and future, that designers must consider in bringing products with embedded processing to market. The book starts from the first step after product proposal (behavioral modeling) and goes through the steps for modeling internal operations. Specific areas of focus include methods for designing safe, reliable, and robust embedded systems. Sections cover selection of processors and related hardware as well as issues involved in designing related software. Finally, the book present issues that will occur in systems designed for the Internet of Things. This book is for junior/senior/MS students in computer science, computer engineering, and electrical engineering who intend to take jobs in industry designing and implementing embedded systems and Internet of Things applications.

    • Neuromorphic Photonic Devices and Applications

      • 1st Edition
      • December 1, 2023
      • Min Gu + 6 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 8 8 2 9 2
      • eBook
        9 7 8 0 3 2 3 9 7 2 6 0 4
      Neuromorphic Photonic Devices and Applications synthesizes in one volume the most critical advances in photonic neuromorphic models, photonic material platforms, and accelerators for neuromorphic computing. It discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is provided followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout. The book includes a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities, and future prospects facing the field. Neuromorphic Photonic Devices and Applications is suitable for researchers and practitioners in academia and R&D in the multi-disciplinary field of photonics.

    • Adapting the Built Environment for Climate Change

      • 1st Edition
      • January 30, 2023
      • Fernando Pacheco-Torgal + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 3 3 6 8
      • eBook
        9 7 8 0 3 2 3 9 5 3 3 7 5
      Adapting the Built Environment for Climate Change: Design Principles for Climate Emergencies analyzes several scenarios and proposes various adaptation strategies for climate emergencies (heat waves, wildfires, floods, and storms). Divided into three themes, the book offers an organized vision of a complex and multi-factor challenge. It covers climatic resilience and building refurbishment, implications for service life prediction and maintainability, and climate adaptation in the maintenance and management of buildings. Sections cover infrastructure materials, climate emergency adaptation and building adaptation to heat waves, wildfires, floods and storms. The book will be an essential reference resource for civil and structural engineers, architects, planners, designers and other professionals who have an interest in the adaptation of the built environment against climate change.

Related subjects

Aerospace sciences

Automotive engineering

Civil and structural engineering

Electrical and electronic engineering

General engineering

Industrial engineering

Marine engineering

Materials engineering

Mechanical engineering

Mechanics

Media technology

Numerical methods in engineering

Systems and control