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Elsevier

Books in Physical sciences and engineering

  • Transformation of Liquid Waste to Energy

    Methods, Challenges, and Opportunities
    • 1st Edition
    • Volume 2
    • Balasubramani Ravindran + 2 more
    • English
    Transformation of Liquid Waste to Energy: Methods, Challenges and Opportunities brings together the latest developments, technologies, and approaches for the transformation of organic waste into energy, enabling the reader to tackle head-on the challenges of valorizing waste as bioenergy. The book focuses on liquid waste, notably covering wastewater treatment and energy recovery, the production of biofuels, and microbial fuel cells, as well as high-rate anaerobic processes and utilization of municipal/industrial wastewater for energy recovery. Each chapter presents the latest developments in transforming different types of liquid waste into bioenergy and discusses conventional methods alongside novel and emerging technologies.This new volume in the Woodhead Series in Bioenergy is of interest to all those with an interest in waste-to-energy, bioenergy, waste management, chemical engineering, and sustainability, including researchers, advanced students, faculty, engineers, scientists, R&D, industrial practitioners, and policymakers.

  • Soil Microorganisms for Plant Growth Promotion and Soil Health

    • 1st Edition
    • Gustavo Santoyo
    • English
    Soil Microorganisms for Plant Growth Promotion and Soil Health provides readers with an overview of plant growth-promoting microorganisms and their molecular mechanisms to improve plant growth and soil health. Students and researchers in soil science will gain a comprehensive understanding of soil microbiota diversity and functions, along with insights into the mechanisms by which plant growth, including molecular processes involved in nutrient acquisitions and defense mechanisms work. In addition, the book provides a noteworthy emphasis on fungi.A soil beneficial microbe cannot only be the living cells, but also their components, such as molecules or enzymes produced by this beneficial microbiota. Molecules like microbial phytohormones can be excellent promoters or regulators of plant growth, as well as proteins and other compounds like volatiles, which might elicit a systemic resistance response against pathogenic threats. Therefore, plant growth promoters living in soil, associated with plant roots, could act through direct beneficial interactions with the plant, by stimulating or regulating growth responses to environmental conditions, or indirectly by inhibiting the growth of potential microbial pathogens and herbivore pests.

  • Simulation and Machine Learning Models for Energy Policy Design

    • 1st Edition
    • Festus Adedoyin
    • English
    Simulation and Machine Learning Models for Energy Policy Design explores how policy design can reduce emissions in support of climate action by emphasizing the integration of cutting-edge simulation and machine learning techniques and bridging the gap between theoretical frameworks and practical implementation, therefore offering a hands-on guide for policymakers and professionals seeking innovative solutions. This book not only explores machine learning but also incorporates simulation techniques, providing a more comprehensive guide that extends beyond efficiency to encompass the entire policy design process.It not only addresses renewable (and other forms of) energy integration challenges but also leverages advanced technologies for optimized decision-making. With its holistic approach and insights on practical implementation, this book is a welcome reference for those who work on the design of energy policies.

  • Advances in Data-Driven Modeling, Fault Detection, and Fault Identification

    Applications to Chemical Processes
    • 1st Edition
    • Mohamed N. Nounou + 3 more
    • English
    Advances in Data-Driven Modeling, Fault Detection, and Fault Identification: Applications to Chemical Processes presents a comprehensive collection of research focused on data-driven modeling techniques for robust modeling, fault detection, and fault identification in chemical processes.This accessible guide caters to both academic and industrial researchers seeking to enhance their work with data-driven methodologies. The book begins with an overview of key methods, emphasizing their significance in research and industry applications. Chapters delve into various chemical processes, such as the Tennessee Eastman Process and a Fischer-Tropsch bench scale setup, to validate and compare the discussed techniques. The content is organized into three main categories:Basic and advanced robust empirical techniquesProminent empirical statistical charts for detecting faults in multivariate systemsConventional and novel, multiclass classification, machine-learning techniques for accurately distinguishing between different fault types in batch or real-time scenariosWhether a researcher or practitioner, this book is an essential resource for leveraging data-driven approaches in chemical engineering fields.

  • Machine Learning Solutions for Inverse Problems: Part A

    • 1st Edition
    • Volume 26
    • English
    Machine Learning Solutions for Inverse Problems: Part A, Volume 26 in the Handbook of Numerical Analysis, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Data-Driven Approaches for Generalized Lasso Problems, Implicit Regularization of the Deep Inverse Prior via (Inertial) Gradient Flow, Generalized Hardness of Approximation, Hallucinations, and Trustworthiness in Machine Learning for Inverse Problems, Energy-Based Models for Inverse Imaging Problems, Regularization Theory of Stochastic Iterative Methods for Solving Inverse Problems, and more.Other sections cover Advances in Identifying Differential Equations from Noisy Data Observations, The Complete Electrode Model for Electrical Impedance Tomography: A Comparative Study of Deep Learning and Analytical Methods, Learned Iterative Schemes: Neural Network Architectures for Operator Learning, Jacobian-Free Backpropagation for Unfolded Schemes with Convergence Guarantees, and Operator Learning Meets Inverse Problems: A Probabilistic Perspective

  • Interstellar Travel

    After Arrival
    • 1st Edition
    • Les Johnson + 1 more
    • English
    Interstellar Travel: After Arrival is a comprehensive, technical look at the necessary considerations for settlement on an extra solar planet following interstellar travel, addressed by leading experts in the fields of space development. The book features the current and future plans for lunar, Mars, and asteroid settlement, and how what we learn from such future endeavors might apply to settlement at destinations around other stars. In addition, scientists who have been considering the construction of large space structures and terraforming discuss realistic options to be considered.Other chapters cover necessary considerations such as whether terraforming is possible and how it might be accomplished, the ethical issues and scientific constraints to interacting with an alien biosphere, and what we might learn from settling within our own Solar System that would apply to settling elsewhere. The third book of a three-book compilation, this new release presents up-to-date and realistic technical and scientific considerations of the challenges that settling on an exoplanet would bring, including review of the current technological capabilities and how they might be put towards life on an extra solar planet.

  • Structural Adhesive Bonding for Automotive Applications

    • 1st Edition
    • Alireza Akhavan-Safar + 3 more
    • English
    Structural adhesive bonding is a key approach to making cars better and safer while also reducing their environmental impact. Structural Adhesive Bonding for Automotive Applications covers several aspects of bonded joints, including materials selection, design and manufacturing processes, quality control techniques, durability analysis, and repair methods. Practical examples support the investigations into the improvements that adhesively bonded configurations offer, including enhanced resistance to dynamic fatigue, increased body stiffness, better crash performance compared with other conventional joining methods, and greater corrosion resistance.The book provides a timely compendium of specialized knowledge alongside the current state of the art, which should appeal to a broad range of audiences—from students who wish to further their understanding of adhesive science and bonded vehicle structures to manufacturing and design engineers who wish to gain an appreciation of new technology in adhesive joining.

  • Intelligent Fault Detection and Diagnosis Techniques for Monitoring Wind and Solar Systems

    • 1st Edition
    • Majdi Mansouri + 5 more
    • English
    Intelligent Fault Detection and Diagnosis Techniques for Monitoring Wind and Solar Energy Systems provides innovative solutions for fault detection and diagnosis in renewable energy systems. By leveraging advanced AI-based techniques such as deep learning, multiscale representation, and statistical analysis, this book aims to enhance system reliability, performance, and cost-efficiency. Readers will gain insights into the fundamentals of FDD processes tailored for photovoltaic and wind turbine operations. The book delves into data preprocessing techniques, feature extraction and selection methods, and optimization of deep learning models.It also includes case studies and explores future directions for AI and machine learning in renewable energy, making it valuable for researchers, engineers, and policy makers.

  • Quantum Technology

    • 1st Edition
    • Stefan Tappertzhofen + 1 more
    • English
    Quantum Technology introduces the readers to the fundamentals, materials, and devices for quantum technology applications.The author provides the reader with the key principles of quantum and solid-state physics, and electronic, magnetic and low-dimensional materials. Then, he introduces important advances towards realization of quantum technology such as quantum computing, quantum electronics, and cryogenics. Throughout, the author explores how understanding of materials, physics and nanotechnology can lead to practical implementation and design of devices and new technologies. Enabling technologies that underpin the design of materials, devices, and applications are also discussed.Quantum Technology is suitable for materials scientists, engineers and physicists working towards the realization of quantum technologies. It may be also of interest to computer scientists working in this area.

  • Dynamic Modelling of Time-to-Event Processes

    • 1st Edition
    • Gangaram S. Ladde + 2 more
    • English
    Dynamic Modelling of Time-to-Event Processes covers an alternative dynamic modelling approach for studying time-to-event processes. This innovative approach covers some key elements, including the Development of continuous-time state of dynamic time-to-event processes, an Introduction of an idea of discrete-time dynamic intervention processes, Treating a time-to-event process operating/functionin... under multiple time-scales formulation of continuous and discrete-time interconnected dynamic system as hybrid dynamic time-to-event process, Utilizing Euler-type discretized schemes, developing theoretical dynamic algorithms, and more.Additional elements of this process include an Introduction of conceptual and computational state and parameter estimation procedures, Developing multistage a robust mean square suboptimal criterion for state and parameter estimation, and Extending the idea conceptual computational simulation process and applying real datasets.

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