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Elsevier

Books in Physical sciences and engineering

  • Implementing R for Statistics

    • 1st Edition
    • Muhammad Imran + 3 more
    • English
    Implementing R for Statistics provides comprehensive coverage of basic statistical concepts using this important open-source programming language tool, from installing R and RStudio, to exploring its basic structure and uses, to extending some core functions such as vectors, basic mathematical operations, and data frames. The book will help readers understand the latest advances in the R programming language, as R allows for sophisticated and elegant data visualization. Illustrated examples are an integral part of the text, carefully designed to apply the core principles illustrated in the text to emerging topics in the field.The text also focuses on exploiting the flexible and user-friendly nature of R. Basic concepts and recent advances in the field, including understanding the R basics, as well as implementing and practicing them in statistics, are also covered. This first edition is an essential text for students, lecturers, data scientists, and applied researchers in all areas of statistics, as well as in related fields such as biostatistics, health care, finance, risk management, social sciences, market research, and environmental and climate research.

  • Deep Learning for Cardiac Signal Analysis in Robotic Applications

    • 1st Edition
    • Kapil Gupta + 1 more
    • English
    Deep Learning for Cardiac Signal Analysis in Robotic Applications delves into the transformative role of artificial intelligence in enhancing robotic-assisted cardiovascular procedures. The book starts with the fundamentals of cardiac signals and deep learning, introducing key heart modalities, including the physiological underpinnings and challenges of signals like ECG and BCG and an overview of deep learning architectures relevant to signal processing. Pre-processing and feature extraction techniques are detailed to prepare readers for advanced analysis. Other sections focus on AI-enhanced cardiac signal analysis, covering arrhythmia detection, myocardial ischemia diagnostics, hypertension monitoring via BCG, and explainable AI approaches for fetal arrhythmia monitoring.The final section integrates AI with robotic cardiac surgery, addressing real-time signal integration, AI-guided intervention precision, intraoperative decision support, postoperative monitoring, and future trends in cardiac AI and robotic-assisted surgery. Addressing the complexities of heart signal interpretation amidst the dynamic environment of cardiac surgery, this book meets the critical need for a comprehensive resource that bridges deep learning advances with practical surgical applications. It responds to the challenge of understanding intricate bio-signals, such as ECG, VCG, and BCG, by providing clear explanations, case studies, and methodological insights tailored to improve surgical precision, safety, and patient outcomes.

  • AI and Data Science in Healthcare 5.0

    • 1st Edition
    • Olfa Boubaker
    • English
    AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in modern healthcare, including advanced wearables enhanced by deep learning. The volume also addresses the integration of blockchain technology, IoT, and cloud computing in healthcare, emphasizing real-time applications in precision healthcare. The discussion extends to energy optimization in smart hospitals, federated learning for IoMT networks, and advanced patient monitoring systems.The volume concludes with an overview of the future opportunities and challenges in Healthcare 5.0.

  • Multifunctional Carbon Nano-Onions Based Nanocomposites

    Fundamentals, Design and Applications
    • 1st Edition
    • Ayesha Kausar
    • English
    Multifunctional Carbon Nano-Onion Based Nanocomposites: Synthesis, Properties and Applications is a comprehensive guide that delves into the structure, design, fabrication, and functional characteristics of carbon nano-onions (CNOs) and their applications in nanocomposites. The book covers timely and significant advances in the field of CNOs, highlighting their unique microstructural, electrical, thermal, mechanical, tribological, and biological properties. It provides a detailed examination of CNOs' roles in various matrices, including thermoplastics, thermosetting polymers, conjugated polymers, rubbers, metals, and metal oxides. Key topics include environmental sustainability, energy storage and conversion (such as solar cells and lithium-ion batteries), electronic applications (sensors), and biomedical applications.In addition, it discusses the challenges and opportunities faced by researchers in the field and the industrial-scale production and economic aspects of these materials. The structure is organized to first introduce the fundamental aspects of CNOs and then progressively dive into specific applications and future prospects. It is intended for researchers, engineers, and academics interested in nanotechnology and nanocomposites, serving as a vital resource for understanding the evolving landscape of CNO nanocomposites and their wide-ranging applications in modern science and technology.

  • Extended Hypergeometric Functions and Orthogonal Polynomials

    • 1st Edition
    • Praveen Agarwal + 1 more
    • English
    Extended Hypergeometric Functions and Orthogonal Polynomials presents a comprehensive and accessible resource for researchers and graduate students interested in exploring the rich connections between extended hypergeometric functions, orthogonal polynomials, and multivariable polynomials. Integrating all three fields and their applications in Maple, Mathematica, and MATLAB, this book fosters interdisciplinary understanding and inspires new avenues of research in mathematics, engineering, physics, and computer science. It also provides a glimpse into future research directions in these areas, including potential applications in emerging fields of applied mathematics and interdisciplinary collaborations. Each chapter begins with an introduction, includes sections on theory, followed by sections on applications, and ends with exercises, problems, references and suggested readings.

  • Metal and Metal Oxide Nanoparticles in Textile Applications

    • 1st Edition
    • Seiko Jose + 2 more
    • English
    In today's consumer-driven market, textiles are valued not only for their aesthetic appeal but also for their functional protection properties. The use of nanoparticles for specialty finishing has emerged as a promising area in textile processing and engineering. Among these nanoparticles, inorganic metal and metal oxides are particularly significant due to their large surface area and high surface energy, allowing them to impart multifunctional properties to textiles. Metal and Metal Oxide Nanoparticles in Textile Applications serves as a comprehensive guide, offering authors a profound understanding of the application of various metal and metal oxide nanoparticles on textiles. The content is thoughtfully organized, beginning with the first five chapters providing insights into the introduction of metal nanoparticles, their conventional and advanced synthesis methods, and characterization techniques. Subsequently, the following eight chapters delve into the effects of different metal nanoparticles, such as Ag, Au, Cu, Al, Ti, and others, along with their oxides, on textiles. The final section of the book encompasses chapters covering metal nanocomposites, electrospinning techniques, toxicology considerations, branding applications, and the challenges and future prospects of metal nanoparticles on textiles. This title serves as an invaluable asset to academicians, scholars, researchers, and professionals in the industry.

  • Edge Intelligence

    Advanced Deep Transfer Learning for IoT Security
    • 1st Edition
    • Jawad Ahmad + 5 more
    • English
    Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and deep learning, offering practitioners, researchers, and cybersecurity professionals a definitive guide to protect IoT/IIoT systems. This book delves into the synergistic potential of edge computing and advanced machine/deep learning algorithms, providing insights into lightweight and resource-efficient models with a special focus on resource-constrained edge devices. The rapidly evolving nature of cyberattacks underscores the need for updated and integrated resources that address the intersection of cybersecurity, edge computing, and deep learning. The authors address this issue by offering practical insights, lightweight models, and proactive defense mechanisms tailored to the unique challenges of securing edge devices and networks. This book is not only written to provide its audience effective strategies to detect and mitigate network intrusions by leveraging edge intelligence and advanced deep transfer learning techniques but also to provide practical insights and implementation guidelines tailored to resource-constrained edge devices.

  • Advanced Analytics for Reliability and Resilience of Energy System

    • 1st Edition
    • Fausto Pedro Garcia Marquez + 2 more
    • English
    Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition

  • Waste Derived Catalysts

    Sustainable Materials for Energy and Environment
    • 1st Edition
    • Chaudhery Mustansar Hussain + 3 more
    • English
    Waste Derived Catalysts: Sustainable Materials for Energy and Environment explores the significant potential of waste materials as catalyst precursors for clean energy generation and environmental remediation. The book simultaneously addresses the problems of waste management, resource depletion, and environmental pollution while promoting the transition towards a sustainable and cleaner energy future. It provides a comprehensive overview of the latest advancements, methodologies, and applications of waste derived catalysts in the fields of energy and environment and as such it serves as a valuable resource for researchers, scientists, engineers, policymakers, and students who are interested in exploring the potential of waste materials as catalyst precursors and their implications in sustainable energy conversion and environmental remediation. The book covers a wide range of waste streams, including agricultural and biomass waste, industrial and municipal waste, and electronic waste, shedding light on their conversion into catalysts through appropriate processing techniques. Furthermore, the book investigates various clean energy technologies, such as hydrogen production, fuel cells, carbon capture and utilization, and renewable fuel synthesis, where waste derived catalysts have shown promise.

  • High-Value Bioenergy Recovery from Wastewater

    • 1st Edition
    • Bing-Jie Ni + 1 more
    • English
    High-Value Bioenergy Recovery from Wastewater presents the science and technologies behind high-value liquid, colloid and solid bioenergy recovery in municipal sewage treatment plants, thus allowing for the easy collection, storage, and transportation of recovered bioenergy. Broken into four parts, the book addresses potential high-value bioenergy from sewage, the science behind and technical module related to high-value liquid bioenergy recovery and high-value colloid and solid bioenergy recovery, and concludes with integrated modules for high-value bioenergy recovery. Academic and industry researchers working in bioenergy, scientists and engineers working in the treatment of wastewater, and industry practitioners who are interested in adding value to the sewage and the sludge obtained in the treatment of wastewater will benefit from this reference, as will advanced graduate and post-graduate students interested in bioenergy and wastewater treatment.

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