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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.

  • Recent Advances in Movement Disorders

    • 1st Edition
    • Volume 9
    • English
    International Review of Movement Disorders series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

  • Reliability Analysis and Modeling for Complex Systems

    • 1st Edition
    • Seifedine Kadry + 1 more
    • English
    Reliability Analysis and Modeling for Complex Systems is a crucial resource for engineers and technologists grappling with modern challenges. As technology advances and safety concerns mount, the complexity of systems like autonomous vehicles and critical infrastructure demands innovative reliability assessment methods. This book bridges theory and practice, offering practical solutions for professionals navigating the intricate world of reliability engineering. Through real-world case studies and interdisciplinary insights, it equips readers to address the multifaceted challenges of ensuring dependability in today's interconnected technological landscape.

  • Sustainable Green Nanomaterials for Mitigation of Microplastics and Plastic Additives Pollution

    • 1st Edition
    • Manviri Rani + 1 more
    • English
    Sustainable Green Nanomaterials for Mitigation of Microplastics and Plastic Additives Pollution offers a comprehensive overview of the sustainable nanotechnologies available to manage and mitigate microplastics and plastic additives pollution. The book reviews research on green sustainable nanomaterials synthesis for industrial and environmental applications in the mitigation of various types of flame retardants, antioxidants, plasticizers, and light stabilizers that are released from industrial waste or consumer products. Moreover, state-of-the-art methods to eradicate microplastic pollution from ecosystems and future research directions are also discussed.This book is a valuable resource to polymer scientists, environmental scientists, and academic and industrial researchers interested in green sustainable nanomaterials and microplastic pollution control strategies.

  • Semiconductors and Semimetals

    • 1st Edition
    • Volume 121
    • English
    Semiconductors and Semimetals, Volume 121 in this ongoing series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Engineering CdS-Based Non-Layered Materials for Enhanced Photocatalytic Hydrogen Production, Roadmap of Heterogeneously integrated III–V photonic devices on Si, Roadmap of Toward scalable III-nitride quantum dot structures for quantum photonics, Roadmap of Non-layered two-dimensional metalloids, Roadmap of Damage-free neutral beam etching for GaN micro-LEDs processing, and more.Additional chapters cover Roadmap of Micro-LED based optical wireless communications systems and Roadmap of 2D non-layered materials for energy applications.

  • Smart Heat Transfer and Thermal Management

    Leveraging AI, Machine Learning, and Soft Computing
    • 1st Edition
    • Raj Kumar Arya + 2 more
    • English
    Smart Heat Transfer and Thermal Management: Leveraging AI, Machine Learning, and Soft Computing revolutionizes heat transfer engineering by integrating artificial intelligence (AI), machine learning (ML), and soft computing. This groundbreaking book delves into state-of-the-art research and practical applications, providing a holistic approach to optimize thermal management. By deepening the understanding of heat transfer principles while explaining AI, ML, and soft computing methodologies, it offers innovative solutions for heat transfer challenges across various industries. The synergy between these disciplines results in enhanced predictive modeling, system optimization, and thermal control for improved energy efficiency and cost-effectiveness.S... computing techniques, including fuzzy logic and neural networks, expand traditional heat transfer methods, allowing for adaptive and intelligent thermal systems. Through case studies, simulations, and real-world examples, the book demonstrates how AI and ML-driven algorithms can lead to sustainable and eco-friendly thermal management solutions, making it a valuable resource for engineers, researchers, and students alike.

  • Additive Manufacturing of Smart Multifunctional Materials and Structures

    • 1st Edition
    • A. Praveen Kumar + 1 more
    • English
    Additive Manufacturing of Smart Multifunctional Materials and Structures explores the revolutionary field of 3D printing combined with the integration of diverse materials and functionalities. The book delves into advances made in additive manufacturing, focusing on the creation of intelligent materials and structures. By leveraging the potential of 3D printing, industries such as aerospace, medicine, and robotics can benefit immensely from these innovations. This comprehensive guide is essential for understanding how additive manufacturing can be utilized to produce smart and multifunctional structures.In addition to offering technical insights, the book presents numerous real-world applications and strategic insights, making it an invaluable resource for professionals in various fields. The intersection of 3D printing technology with the integration of diverse materials and functionalities is highlighted throughout, showcasing the transformative potential of additive manufacturing in shaping the future of multiple industries.

  • Biodegradable Metals and Their Medical Applications

    • 1st Edition
    • Yufeng Zheng
    • English
    Biodegradable Metals and Their Medical Applications presents an authoritative overview of all aspects of biodegradable metals and their biomedical applications from the definition, criteria, classification and alloying design of biodegradable metals to the mechanical property optimization, degradation control, biological effect, surface treatment, and advanced manufacture technologies of various biodegradable alloying systems. In vitro and in vivo biocompatibility evaluations for each kind of degradable metallic biomaterials are also discussed, and medical devices designed for usage within bone, blood, and other body microenvironments are presented, making this a complete resource for researchers in the fields of materials science and biomedical engineering.

  • Small Sample Modelling Based on Deep and Broad Forest Regression

    Theory and Industrial Application
    • 1st Edition
    • Wen Yu + 2 more
    • English
    Small Sample Modelling Based on Deep and Broad Forest Regression: Theory and Industrial Application delves into tree-structured methods in the industrial sector, encompassing classical ensemble learning, tree-structured deep forest classification, and broad learning systems with neural networks. It introduces an innovative deep/broad learning algorithm for small-sample industrial modeling tasks. The book is divided into two parts: methodology and practical application in dioxin emission modeling. Methodology sections include Preliminaries, Deep Forest Regression, Broad Forest Regression, and Fuzzy Forest Regression. The application part focuses on modeling dioxin emissions in municipal solid waste incineration. Throughout, various tree-structured strategies are presented, and the authors provide software systems for validating these methods. This book is suitable for advanced undergraduates, graduate engineering students, and practicing engineers looking for self-study resources.

  • 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.

  • Event-Driven State Estimation for Stochastic Networked Systems

    • 1st Edition
    • Cong Huang + 2 more
    • English
    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

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