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Elsevier

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.

  • Semiconductors and Semimetals

    • 1st Edition
    • Volume 123
    • English
    Semiconductors and Semimetals series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

  • Safety and Sustainability of Hazardous Materials in Civil Engineering

    • 1st Edition
    • Ali Akbar Firoozi + 1 more
    • English
    Safety and Sustainability of Hazardous Materials in Civil Engineering addresses the complex challenges posed by toxic substances and harmful waste generated during construction projects and creates a cohesive framework for a better understanding of the multidisciplinary interrelationships among sustainable development, human health, and the environment.The volume thoroughly reviews methodologies for identifying and classifying hazardous materials; systematic processes for their handling, storage, transportation, and disposal; innovative risk detection and monitoring techniques; remediation and emergency preparedness measures; and standards and best practices from different regions across the world.By combining scientific research with practical applications and emphasizing critical, coordinated approaches to unify safety, reliability, environmental responsibility, and regulatory compliance, the book proves to be an indispensable reference resource for a variety of readers in both academia and industry.

  • Sustainable Supply Chain Management

    Computational Approaches and Modelling
    • 1st Edition
    • Syed Mithun Ali + 3 more
    • English
    Sustainable Supply Chain Management: Computational Approaches and Modelling provides a comprehensive understanding of how computational approaches can be leveraged to address the challenges associated with sustainable supply chain management. It offers insights into emerging and advanced modelling techniques to optimize supply chain operations while considering environmental, social, and economic factors. This book will be a valuable resource for researchers, practitioners, and policymakers interested in understanding and implementing sustainable supply chain management practices through computational approaches and modelling. This book helps researchers understand the opportunities, challenges, and solutions by developing innovative computational tools and techniques to integrate sustainability considerations into supply chain decision-making processes.

  • Machine Learning Applications in Thin-Walled Structural Engineering

    Innovations and Future Directions
    • 1st Edition
    • A. Praveen Kumar + 2 more
    • English
    Machine Learning Applications in Thin-Walled Structure Engineering brings into sharp focus in-demand knowledge applicable to plate and shell structures, cold–formed steel sections, reinforced plastics components, and aluminum frameworks across a wide range of field applications. By highlighting the transformative synergy between artificial intelligence and structural engineering, it presents innovative methods to streamline design evaluations, detect anomalies early, and forecast structural performance under diverse conditions of load, stress, and environmental influence.The book covers––among other key recent developments––the integration of ML with digital twin technology for real-time monitoring in support of proactive assessment and intervention efforts to extend service life; the use of advanced algorithms for material selection and behavior prediction; hybrid models that combine traditional analytical methods with ML to increase simulation precision; and emerging trends such as adaptive systems for more resilient, efficient, and sustainable structural solutions.With its interdisciplinary approach and practical examples, this resource proves to be essential to establish a solid understanding of the challenges posed by lightweight systems and how ML techniques can enhance their design, analysis, and maintenance—critical for engineers striving to improve both current strategies and future advancements in thin-walled structures’ long-term safety and reliability.

  • Diagnostic Imaging Systems

    • 1st Edition
    • Ayman S. El-Baz + 1 more
    • English
    Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature.The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions.To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics.Volume 3 provides a comprehensive review of diagnostic imaging systems and technologies, including brain tumor characterization and classification techniques, tumor segmentation using AI and deep neural networks, dynamic brain imaging analysis, and functional brain imaging. The authors discuss existing challenges in the domain of diagnostic imaging systems and suggest possible research directions.

  • BSIM–SOI Industry-Standard Compact Model

    Surface Potential-Based FET Model for RFIC Design
    • 1st Edition
    • Chetan Kumar Dabhi + 5 more
    • English
    BSIM–SOI Industry-Standard Compact Model: Surface Potential-Based FET Model for RFIC Design provides complete coverage of compact modeling and design techniques specific to SOI transistors. The book is designed to be the first comprehensive guide that thoroughly explains the industry-standard BSIM-SOI compact model, along with the unique modeling and RF design techniques necessary for the accurate extraction and implementation of the industry standard BSIM-SOI model. This book will be a valuable reference for the expanding field of SOI technology, catering specifically to circuit designers, device engineers, academic researchers, and students.This book will equip designers, engineers, and researchers with the knowledge and tools required to optimize SOI-based circuit performance and system integration. The book explains fundamental surface-potential calculations and addresses various real device effects, such as floating body, self-heating, dynamic depletion effects, and layout influences to accurately replicate realistic device behavior. Additionally, the step-by-step parameter extraction procedures for the BSIM-SOI model are outlined, and the results of benchmark tests are also presented.

  • Electronics Cooling: From the Chip to the Datacenter

    • 1st Edition
    • Volume 62
    • English
    A concise, practical guide that traces thermal management from the microchip to the data center. It explains how heat is generated at the transistor level, and how cooling strategies, conduction, convection, liquid immersion, and phase change cooling, scale up to keep entire data centers reliable and energy-efficient. The book blends fundamentals (heat transfer, modeling, materials) with real-world design guidelines, case studies, and best practices for engineers, researchers, and students working on electronics cooling across all scales.

  • Mechanical Joining by Material Flow

    • 1st Edition
    • Mohammad Mehdi Kasaei + 4 more
    • English
    Mechanical Joining by Material Flow provides sought-after experimental information on process design, process modeling, and joint characterization techniques for students, researchers, and engineering professionals who want to learn about advanced joining systems for lightweight materials. Chapters cover mechanical joining by plastic deformation, including clinching and self-piercing riveting, and friction-based processes, such as friction stir welding to form a mechanical joint. Though these processes are mainly used to establish metallurgical bonding, their unique characteristics and the material flow they generate has led to an increased use of these techniques for joining difficult-to-weld materials.Other sections introduce innovative technologies developed based on material flow to meet existing industry needs to join materials with different structural properties in different scales or shapes. To furnish readers with a more usefully comprehensive coverage, the team of experts behind the book has included methodological principles as well as discussions on advantages, drawbacks, and future directions of each technique, alongside application examples and case studies.

  • Sustainability and Construction

    The Global Context and the New Zealand Perspective
    • 1st Edition
    • Kamal Dhawan + 3 more
    • English
    Sustainability and Construction: The Global Context and the New Zealand Perspective explores various dimensions of sustainability in construction. It commences with a comprehensive discourse on the sustainability concept and its construction context.Next, it examines sustainability across the various phases of a typical construction project—from inception, through operationalization, to end-of-life management—on one hand, and, on the other, the sustainability of associated processes and domains such as supply chains, logistics, delivery models, and waste management. The narrative is extended through sustainability rating schemes, regenerative built environment, and the context of technology in construction. A strategic organizational viewpoint is presented through an integrated treatment of corporate sustainability, its assessment, reporting, and benchmarking, against the backdrop of the sustainability imperative. Stakeholder perspectives and the “wickedness” of sustainable construction in New Zealand conclude the work.The unique treatment of the overarching themes impacting sustainability in the global construction industry and their intersection with the New Zealand standpoint delivers a well-balanced and thoroughly researched resource. It is a value-added, highly visual text for engineers, students, researchers, policy makers, and industry stakeholders alike.

  • Digital Twin and Industry 4.0

    Concepts, Frameworks, and Applications
    • 1st Edition
    • Abid Haleem + 1 more
    • English
    Digital Twin and Industry 4.0: Concepts, Frameworks, and Applications champions the use of digital twin technologies in the support of the fourth industrial revolution. These technologies, such as the Internet of Things, Artificial Intelligence, cloud computing, big data analytics, robotics, and VR, can be combined to benefit a wide variety of industries, from healthcare and manufacturing to cyber security. The opening chapter compares Industry 4.0 to previous industrial ages. The subsequent seventeen chapters discuss each respective technology, considering its classification, advantages, disadvantages, roles, applications and the potential for future developments. Alongside AI and IoT, the book looks at additive manufacturing, 5G, blockchain, sensors, holography, 3D-printing, drones, machine vision, and cyber-physical systems (CPS). Overall, Digital Twin and Industry 4.0 provides a comprehensive synthesis of theories and technologies underpinning digital twins for Industry 4.0, and interdisciplinary coverage that connects digital twins with the other technologies, offering applied case studies and examples that bridge the gap between academic research and industrial implementation.

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