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Elsevier

Elsevier

  • Sustainable Nanofillers

    Fundamentals, Synthesis, and Applications
    • 1st Edition
    • Shadpour Mallakpour + 1 more
    • English
    Sustainable Nanofillers: Fundamentals, Synthesis, and Applications covers the latest advances in sustainable nanofillers, presenting fundamental concepts, state-of-the-art techniques, enhanced properties and novel applications. The book explains essential theoretical aspects, key concepts and methods for synthesis and fabrication. Sections provide coverage of sustainable nanofillers for a wide range of innovative applications, including in pharmaceuticals, biomedicine, drug delivery, environment, oils, lubricants, and fuels, rubber and tires, catalysis, antibacterial and antifungal coatings, textiles, bioactive materials, food and food packaging, and household goods. Final sections offer information on environmental, legal and health and safety issues, approaches to commercialization and standardization, and future opportunities. This is a valuable resource for researchers and advanced students across nanotechnology, polymer science, chemistry, sustainable materials, chemical engineering, and materials science, as well as for scientists, engineers, and R&D professionals with an interest in sustainable nanofillers for a range of industrial applications.

  • GeoAI-Driven Earth Observation for Sustainable Development

    Contemporary Advances and Emerging Opportunities Across Scales
    • 1st Edition
    • Achala Shakya + 5 more
    • English
    GeoAI-Driven Earth Observation for Sustainable Development: Contemporary Advances and Emerging Opportunities Across Scales presents a comprehensive overview of how Geographic Artificial Intelligence (GeoAI) is transforming Earth observation technologies to support the achievement of the United Nations Sustainable Development Goals (SDGs).The book begins by outlining the evolution of Earth observation and the integration of machine learning and deep learning techniques that enhance data analysis capabilities. It addresses the challenges and ethical considerations involved in deploying GeoAI, emphasizing the importance of open-source tools, cloud-edge intelligence, and reproducibility in advancing the field. The text explores a wide range of GeoAI applications tailored to specific SDGs, including precision agriculture for food security, urban resilience, disaster risk reduction, forest and biodiversity conservation, and water resource management. It also highlights innovations in air quality mapping, clean energy monitoring, health and well-being, inclusive education, gender equality, sustainable economic growth, and infrastructure development. Additionally, the book discusses policy and governance frameworks that enable the effective use of GeoAI for sustainable development, alongside integrated scenario modeling to bridge science and technology in land-use and cover change. Further, it examines emerging GeoAI applications in groundwater quality, marine and coastal ecosystems, and regional security in the context of climate change.This multidisciplinary volume equips researchers and practitioners with the knowledge and tools to harness GeoAI for addressing complex environmental and societal challenges.

  • Conventional and Advanced Technologies for the Reuse of Treated Wastewater

    Enhancing Water Sustainability through Action-Oriented Technologies
    • 1st Edition
    • Satinder Kaur Brar + 3 more
    • English
    Conventional and Advanced Technologies for the Reuse of Treated Wastewater: Enhancing Water Sustainability through Action-Oriented Technologies explores the pressing issue of purifying wastewater for safe reuse, addressing the environmental and health risks posed by improper disposal, especially in agriculture. This comprehensive guide explores the latest tools and technologies in wastewater treatment, including biological, chemical, and membrane filtration methods. It also covers the composition of domestic and industrial wastewater, regulatory frameworks, and monitoring systems essential for maintaining water quality standards.Edited by experts in the field, this book offers innovative solutions and sustainable practices, and equips students, researchers, and practitioners with the necessary knowledge to implement effective wastewater reuse strategies globally, thus fostering a more sustainable and resilient future.

  • Reshaping Geotechnical Engineering with Machine Learning

    Theory, Applications, and Innovations
    • 1st Edition
    • Divesh Ranjan Kumar + 3 more
    • English
    Reshaping Geotechnical Engineering with Machine Learning: Theory, Applications, and Innovations explores the transformative impact of machine learning (ML) on the field of geotechnical engineering. The book begins by examining the broad applications of ML in key areas such as foundation engineering and slope stability, demonstrating how advanced algorithms can enhance predictive accuracy and decision-making. It emphasizes the importance of robust data acquisition and preprocessing techniques, which are critical for the successful implementation of ML models in geotechnical contexts. The text examines the use of machine learning for predicting soil behavior, a complex challenge in geotechnical engineering, and highlights its role in risk assessment and management.In addition, it also addresses the integration of ML with finite element modeling to improve the analysis of tunnel and underground stability. The applications of machine learning in understanding geotechnical materials further showcase the versatility of these techniques. It also covers experimental investigations, including laboratory and field studies, which provide essential data for model training and validation. Through detailed case studies, the book illustrates practical implementations of machine learning, bridging theory and real-world problem-solving.

  • Understanding Faults

    Detecting, Dating, and Modeling
    • 2nd Edition
    • David Tanner + 1 more
    • English
    Understanding Faults: Detecting, Dating, and Modelling reveals the dynamic world of faults and earthquakes. It offers a single resource for analysing faults for a variety of applications, from hazard detection and earthquake processes to geophysical exploration. Chapters explore the intricate processes of fault detection, utilizing various methods to identify and characterize faults in different settings. Numerical modelling techniques are used to simulate fault behaviour and seismic activity, providing insights into fault dynamics and earthquake mechanisms. The book also closely examines faults under laboratory conditions, presenting analogue experiments that study fault growth and behaviour. The dating of fault movement sheds light on the timing of fault activity, providing crucial information for understanding seismic hazards and tectonic processes. Additionally, fault sealing mechanisms and their implications are examined, revealing how faults evolve and interact with their surrounding environment. A unique perspective is offered on faults in the context of the world’s energy transition, by analysing the role of faults in energy-related exploration, such as geothermal energy. By inspecting faults from multiple angles, including geological, geophysical, and energy perspectives, the book provides a comprehensive understanding of fault systems and their significance in various domains.

  • K-out-of-n Structures

    Theories, Methods and Applications
    • 1st Edition
    • Mangey Ram
    • English
    In an era where global economic development demands innovation, reliability engineering stands at the forefront of modern industrial challenges. Over the past 50 years, profound advancements in reliability analysis have transformed how engineers and academics approach system performance, offering significant economic benefits and improving quality of life worldwide. K-out-of-n Structures: Theories, Methods and Applications delves into the extensive research surrounding consecutive k-out-of-n structures, crucial for modeling diverse engineering systems—from telecom microwave stations to oil pipelines and electron accelerator vacuum systems. This comprehensive volume is designed for professionals, students and researchers eager to deepen their understanding of reliability engineering. Authored by leading scientists, mathematicians, and engineers, this book presents ground-breaking methods and solutions that have yet to be explored in existing literature.

  • Artificial Intelligence and Data Science in Electric Vehicle Technology and Infrastructure

    • 1st Edition
    • V. Subramaniyaswamy + 3 more
    • English
    Artificial Intelligence and Data Science in Electric Vehicle Technology and Infrastructure offers a comprehensive exploration of how AI and data science are revolutionizing the electric vehicle (EV) industry. It guides readers through the basic concepts of EV technology and explains how machine learning and blockchain optimize battery management, predictive maintenance, and secure fault detection. The book highlights cutting-edge techniques like sensor fusion and computer vision for autonomous driving, alongside real-time analytics and edge computing for low-latency AI applications. It also covers intelligent charging infrastructure, route optimization, and renewable energy integration and shares insights into cybersecurity, business models, and demand forecasting, complemented by practical case studies.This book is a useful resource for researchers, scientists, advanced students, software engineers, data scientists, R&D professionals, and other industrial personnel working at the intersection of computer science, electrical engineering, artificial intelligence, data science, and machine learning with an interest in advancing AI and ML applications in electric vehicle technologies.

  • Chemical Sensors and Biosensors

    Electronic Design and Practical Implementation
    • 1st Edition
    • Giorgio Pennazza + 2 more
    • English
    Chemical Sensors and Biosensors: Electronic Design and Practical Implementation covers both foundational concepts and practical applications across various scientific disciplines to outline the development of chemical sensors. Section I, Fundamentals, explains sensor working principles, including key elements such as sensitivity, resolution, LOD, selectivity, repeatability, and reproducibility, along with calibration procedures. This section also outlines electronic interfaces needed for optimal sensor performance based on the theoretical knowledge established in the earlier sections. Section II, Practical Implementation, introduces application driven design and conceptual models for sensor development, including troubleshooting and common solutions across various sensors and their myriad applications.The final section discusses the future of sensors and sensing technologies and provides a tutorial to provide step-by-step guidance on understanding various methods and procedures associated with chemical sensor development and design. This is a invaluable resource for post graduate students and researchers both in academia and industry working with any kind of chemical sensor technology. Additionally, this book will be useful for engineers, physicists, chemists, and technical personnel and postgraduate students engaged in precision measurements with advanced instruments.

  • Pointgrammetry Principles And Applications

    Lidar 3d Point Cloud Intelligent Processing
    • 1st Edition
    • Yiping Chen
    • English
    Photogrammetry Principles and Applications: LiDAR 3D Point Cloud Intelligent Processing addresses the growing demand for advanced 3D point cloud processing in geospatial and Earth observation fields. With LiDAR technology playing a vital role in autonomous driving, smart cities, and environmental monitoring, this book offers a systematic overview of core algorithms, including 3D reconstruction, DEM generation, and semantic segmentation that use cutting-edge artificial intelligence methods like deep learning and large language models. It combines foundational knowledge with practical case studies from diverse regions such as Toronto, Xiamen, and Nanjing, illustrating how these techniques are applied in real-world scenarios.The book's content spans hardware descriptions, software workflows, and algorithmic insights, making it suitable for both self-study and academic courses. Featuring templates, flow diagrams, step-by-step processes, and tables, it ensures ease of cross-referencing and practical understanding. Thus, it empowers researchers, students, and industry professionals to process complex, massive point cloud data efficiently, leading to more accurate spatial analysis, environmental assessments, and urban planning.

  • Resource Recovery from Biomedical and Hazardous Industrial Waste

    Challenges and Opportunities
    • 1st Edition
    • Atun Roy Choudhury + 4 more
    • English
    Resource Recovery from Biomedical and Hazardous Industrial Waste: Challenges and Opportunities examines the complexities involved in managing biomedical and hazardous industrial waste, focusing on innovative resource recovery techniques. This book addresses the challenges of global waste management systems and presents practical solutions, covering waste classification, collection, treatment technologies, and environmental impacts. It also emphasizes emerging methodologies such as waste-to-energy, recycling, and the valorization of hazardous materials into valuable resources, promoting sustainable practices.With a thorough analysis of emerging trends, including the impact of COVID-19 on waste management and a strong emphasis on innovative, sustainable practices, this book provides valuable insights for advancing waste recovery solutions.

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