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Elsevier

Elsevier

  • In-Fleet Connected and Autonomous Vehicle Data-as-a-Service (CAV-DaaS) for Intelligent Transportation Systems and Traffic Control

    • 1st Edition
    • Hoofar Shokravi + 1 more
    • English
    This book introduces a novel intelligent transportation system (ITS) that formulates the concept of connected autonomous vehicle data-as-a-service (CAV-DaaS). By leveraging crowdsourced data from CAVs, the platform enables autonomous, real-time, continuous, and network-wide monitoring of roadway infrastructure, bridge structural health, traffic conditions, and on-road hazards. Built on a digital twin-enabled system-of-systems architecture, this system provides a scalable alternative to conventional fixed and mobile sensor-based monitoring systems, supporting more efficient, resilient, and intelligent transportation infrastructure management. This methodology crowdsources data from CAV fleets already circulating on the network, leveraging GPS, IMUs, LiDAR, cameras, radar, and vehicle-to-everythin... links to enable a continuous and autonomous monitoring system that is scalable and without costs attributed to fixed sensors or dedicated test vehicles. The book demonstrates how CAV data can be used for detection and assessment of on-road debris (e.g., tire/cargo debris, rocks and gravel, detached vehicle parts), and road surface damages (e.g., potholes, cracks), road asset monitoring (e.g., signs, road markings, traffic lights), structural health monitoring of roadway bridges (detection of damage and changes in bridge dynamic response), as well as inclusive traffic management and control (e.g., traffic flow visualization, traffic prediction, traffic forecasting, incident detection and management, parking management). The book guides readers from foundational CAV concepts such as autonomy-enabling sensors, perception pipelines, and edge/fog/cloud computing architectures to the advanced algorithms that transform raw vehicular observations into actionable intelligence. The digital twin-enabled platform is structured into four logical layers, with the vehicle perception layer harvesting multimodal sensor data, the communication layer transporting and pre-processing these streams, a cloud-based digital-twin layer fusing, storing, and analyzing the data, and a decision-interface layer returning insight directly to vehicles, roadside controllers, or traffic-management centers.

  • Medicinal and Aromatic Plants

    Trends, Technological Innovations and Sustainability
    • 1st Edition
    • Sanjeet Mehariya + 2 more
    • English
    Medicinal and Aromatic Plants: Trends, Technological Innovations and Sustainability explores the latest advancements and sustainable practices in the cultivation, extraction, and application of medicinal and aromatic plants (MAPs). Focusing on enhancing the value and bioactive compound content of MAPs, this book integrates cutting-edge technologies and green methodologies to support industrial, health, and environmental applications. The book is structured into three comprehensive parts; Part I addresses cultivation strategies aimed at improving metabolite content, including artificial intelligence approaches, plant tissue culture technologies, and abiotic stress techniques. Part II investigates advanced extraction, purification, and analytical methods for recovering and identifying high-value biologically active compounds. Part III highlights diverse applications such as functional foods, cosmetics, biopesticides, and the utilization of residual biomass for soil health and value addition. The book also discusses market trends and conservation challenges, providing insights into sustainable development within the MAP sector. This book serves as an essential resource for researchers, industry professionals, agronomists, and researchers engaged in medicinal and aromatic plant sciences, offering practical knowledge and innovative solutions to advance sustainability in the field.

  • The MXene Revolution

    Scalable 2D Solutions for Sustainable Energy
    • 1st Edition
    • Narinder Singh + 2 more
    • English
    The MXene Revolution: Scalable 2D Solutions for Sustainable Energy addresses the urgent need for innovative materials to meet global energy demands sustainably. This book explores the emerging family of MXenes, a class of 2D materials with exceptional electrical, chemical, and mechanical properties, positioning them as key enablers for next-generation energy storage and conversion technologies. It provides a thorough overview of their fundamental chemistry, scalable green synthesis routes, and integration into hybrid systems for applications such as supercapacitors, batteries, photovoltaic devices, and electrocatalysts. The content is organized into chapters covering MXenes’ structural properties, synthesis techniques, electrochemical behavior, and diverse applications, including recent advances and future challenges. The book also discusses strategies to enhance MXene performance, scalability issues, and pathways toward industrial adoption. Geared toward researchers, engineers, and policymakers, this resource offers detailed insights into the science and engineering behind MXenes, emphasizing sustainable and scalable approaches aligned with global energy transition goals. It aims to bridge the gap between laboratory research and practical deployment, fostering innovation in environmentally friendly energy solutions. Overall, it provides an invaluable reference for advancing the development and commercialization of MXene-based materials for sustainable energy systems worldwide.

  • Industrial Process Scale-up

    A Practical Innovation Guide from Idea to Commercial Implementation
    • 3rd Edition
    • Jan Harmsen
    • English
    Industrial Product and Process Scale-up: A Practical Innovation Guide from Idea to Commercial Implementation, Third Edition serves as a comprehensive guide for all aspects of process and product scale-up from idea generation, through R&D, engineering, procurement, construction to implementation, providing insights on identifying and mitigating risks associated with commercial scale implementation - providing insights on identifying and mitigating risks associated with commercial scale implementation. The Third Edition introduces new strategies for product scale-up and integrating product and process scale-up across six innovation stages, offering methods for pilot plant decision-making, scale-down processes, and evaluation criteria for demo-plant versus commercial scale plant selection. Special emphasis is placed on unit operation scale-up methods and intensified process steps to aid decision-making during the feasibility stage, benefiting industries like pharma and active pharma ingredients. This book will be a valuable guide to researchers in industry, working to scale-up products and processes across commercial sectors. This book will also be a very useful guide to late-stage students and academics working in industrial chemical process engineering.

  • Remote Sensing and AI for Climate-Driven Hazard Assessment

    Geospatial Approaches to Risk, Monitoring, and Mitigation
    • 1st Edition
    • Aqil Tariq + 1 more
    • English
    Remote Sensing and AI for Climate-Driven Hazard Assessment: Geospatial Approaches to Risk, Monitoring, and Mitigation addresses the urgent need for advanced geospatial tools to manage increasing climate-related hazards. This volume combines satellite data, GIS technologies, and artificial intelligence to improve hazard detection, risk assessment, and mitigation strategies. It is designed for researchers, environmental scientists, GIS specialists, and policymakers working on climate vulnerability and disaster risk reduction. The book offers a structured approach across chapters, covering theory, data sources, analytical methods, and practical case studies from regions like the UAE, China, and Southeast Asia, emphasizing real-world applications. Its regional focus and integration of cutting-edge analytics enable professionals to develop innovative solutions for urban resilience and climate adaptation. By bridging foundational knowledge with advanced geospatial analysis, this reference empowers users to make data-driven decisions, enhance disaster preparedness, and support sustainable development in a changing climate.

  • The Brain Histaminergic System in Health and Disease

    • 1st Edition
    • Zhong Chen + 2 more
    • English
    Histamines in Neurology and Psychiatry summarizes histamines and their impact on neuroinflammation and brain development in key neural circuits. This book presents the latest research on the physiological regulation of a neuroendocrine responses and releases, broadly discussing histamine receptor modulators and histamine effects in neurology and psychiatry, and also including clinical applications that will be of interest to practitioners.

  • Harmonizing Earth Observation Data for Enhanced Spatial Analysis

    • 1st Edition
    • Tomaž Podobnikar
    • English
    Harmonizing Earth Observation Data for Enhanced Spatial Analysis explores the critical aspects of Earth observation (EO) data and its pivotal role in spatial analysis. Addressing fundamental aspects of EO data, the book emphasizes the importance of reliable, high-quality information for meaningful analysis. It reviews the interaction and integration of various datasets, highlighting the necessity of combining diverse sources to enhance analytical outcomes. In addition, sections cover essential techniques such as downscaling, generalization, and upscaling, providing insights into how these processes can optimize data usability while maintaining integrity. A significant focus is placed on harmonization, detailing strategies to reduce uncertainty and improve consistency across multidimensional datasets. This interoperability is crucial for effective spatial analysis, which relies on coherent datasets to derive actionable insights. Additionally, the book discusses the interplay between EO and geospatial data, illustrating how their integration can enhance analytics capabilities. It presents comprehensive workflows, tools and applications that facilitate advanced spatial analysis, equipping researchers and practitioners with the necessary resources to harness EO data effectively.

  • Methanol Synthesis from CO2

    Towards Achieving Carbon Neutrality
    • 1st Edition
    • Lebohang Macheli + 3 more
    • English
    Methanol Synthesis from CO2: Towards Achieving Carbon Neutrality explores the conversion of CO2 into methanol, a vital step towards carbon neutrality, and delves into the intricate chemical reactions, catalytic mechanisms, and engineering strategies that underpin this transformative process. By addressing the global carbon challenge, the book emphasizes the urgent need to repurpose CO2 from a harmful pollutant into a valuable feedstock, paving the way for a sustainable future powered by methanol. The book covers a wide array of topics, including the historical evolution of methanol synthesis, sustainable feedstocks, and advanced catalytic methods. Readers will gain insights into reaction mechanisms, process technologies, and the role of artificial intelligence in optimizing production. Additionally, the book examines the environmental and economic implications of methanol synthesis, providing a holistic view of its potential applications across various industries, from fuel blending to chemical manufacturing. This is an essential resource for researchers, engineers, policymakers, and industry professionals in fields such as chemical engineering, environmental science, and renewable energy.

  • Intelligent Cockpit Design in the Automotive Industry

    Architecture, Principles, and Automotive-Grade Chips
    • 1st Edition
    • Huimin Zhang
    • English
    Intelligent Cockpit Design in the Automotive Industry: Architecture, Principles, and Automotive-Grade Chips provides a comprehensive analysis of the principles and architecture of multiple subsystems, basic software, and applications/service... of the intelligent cockpit. It also reviews the principles and practices of the underlying technology of SoC or System on a Chip (SoCs integrate multiple components onto a single chip, offering advantages like reduced power consumption, smaller form factors, and enhanced performance). Sections focus on the origins, background, and system architecture of the intelligent cockpit and the architecture, principles, and core technologies of the software and hardware technologies required for the intelligent cockpit.Content covers vehicle buses, high-speed video transmission technology, data connection technology, display subsystems, visual subsystems, audio subsystems, basic software, applications, and services. The final part mainly focuses on the technical principles, design examples, and development trends of intelligent cockpit SoCs, covering cockpit SoC computing power evaluation standards, SoC design principles, automotive-grade chip evaluation standards, functional safety design principles, and future evolution paths

  • Machine Learning and AI for Advanced Experimental Mechanics and Materials Design

    • 1st Edition
    • Alok Behera + 2 more
    • English
    Machine Learning and Artificial Intelligence in Experimental Mechanics and Materials Design is a comprehensive resource on machine learning and artificial intelligence tailored to experimental mechanics and materials design. The book demonstrates how to apply ML and AI in experimental settings through real-world case studies, effectively accelerating materials discovery and design processes. The ethical complexities associated with ML and AI in experimental research are explored, equipping readers with the knowledge to address biases and ethical dilemmas responsibly. Using a problem-solving approach, the book describes how to overcome daily challenges encountered in experimental mechanics and materials design with practical solutions and methodologies.Finall... the book provides insights into adopting best practice for the implementation of research outcomes by setting out current trends and future opportunities in this rapidly developing field.

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