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Elsevier

Books in Physical sciences and engineering

  • Machine Learning in Drug Development: Part 1

    • 1st Edition
    • Volume 64
    • English
    Machine Learning in Drug Development: Part One, Volume 64 in the Annual Reports on Medicinal Chemistry series, highlights new advances in the field. Chapters in this release include Artificial Intelligence in Small Molecule and Nucleic Acid Research: A Review, AI-aided Drug Development for Protein Degraders: Design, Lead Identification, and Optimization, AI-aided Drug Development for Protein Degraders: Biology Validation, Disease-association, Drug Repurposing, Transforming Modern Drug Discovery with Machine Learning, Artificial Intelligence in the Development of Antiviral Drugs: Progress and Applications, Artificial Intelligence for Drug Target Identification, and Machine Learning in Proteomic Biomarker Discovery.

  • Foundations of Computer Engineering

    • 1st Edition
    • Marilyn Wolf
    • English
    Foundations of Computer Engineering is a complete introductory textbook for freshman and sophomore students taking a first course in computer engineering. This new text covers everything today’s students will need to go from almost no computer-specific knowledge to understanding the design of computer systems, from their fundamental hardware components and mathematical abstractions to their use in solving real-world problems. Covering all the major themes of 21st century computer engineering, including logic and computers, software, and circuits, instructors will find that this book provides a single coherent reference to guide students through their course.

  • Planning and Management for Sustainable Water Resources and Infrastructure under Climate Change

    • 1st Edition
    • Kourosh Behzadian + 2 more
    • English
    Planning and Management for Sustainable Water Resources and Infrastructure under Climate Change explores the critical intersection of climate change, and sustainable water resources and infrastructure. With a diverse range of chapters covering topics from public participation and water governance to smart technologies, it provides a holistic understanding of the current concerns, core challenges, and innovative solutions surrounding water infrastructure and resilience. The book offers necessary information on current approaches for adaptation and mitigation strategies including but not limited to AI, IoT, and remote sensing. The implications of climate change for agriculture and aquaculture, the complexities of water and climate change governance, and the pressing issues of droughts, seawater intrusion, and intermittent water supply are discussed. It also examines various impacts of climate change on water resources and infrastructure with real-world case studies around the globe. By addressing these multifaceted topics, the book equips readers with the knowledge and strategies to navigate the evolving issues of water management in the face of a changing climate.

  • 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.

  • Comprehensive Remote Sensing-

    • 2nd Edition
    • Shunlin Liang
    • English
    Remote sensing, which involves monitoring Earth’s environment from airborne platforms and satellites, is rapidly advancing. Researchers from diverse backgrounds increasingly use remotely sensed data. The new edition of "Comprehensive Remote Sensing" meets their need for up-to-date, in-depth information on various aspects of the field, from principles and data analysis to applications. Containing over 100 chapters from world experts in the field, this edition includes all recent developments, with a focus on satellite missions, sensors, models, practical inversion algorithms, high-level products and applications.In addition to governments, many private companies are launching satellites. Advances in computing power and data storage have enabled massive data processing and analysis. Consequently, remote sensing has become essential for geographers, oceanographers, meteorologists, physicists, computer scientists, and others. "Comprehensive Remote Sensing" addresses this diversity with structured chapters that begin with fundamental concepts and principles, followed by reviews of the latest developments and a comprehensive list of references. It is a valuable resource for readers at various levels of specialization.Volum... 1 focuses on satellite missions and sensors. Volume 2 covers various data processing techniques, including cloud and shadow detection, analysis-ready data (ARD) techniques for high-resolution data, and machine learning methods. Volumes 3-8 discuss advances in new inversion methods and high-level satellite products that characterize the spatio-temporal variations in essential environmental variables under a changing climate. Volume 9 highlights remote sensing applications, which have entered a new era with the availability of vast high-resolution satellite and UAV observations.

  • 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.

  • 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.

  • 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

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