Skip to main content
View Cart

Books in Physical sciences and engineering

  • Drill Bits for Energy Industry

    • 1st Edition
    • September 1, 2026
    • Robert (Bob) P. Radtke + 2 more
    • English
    Drill Bits for Energy Industry is an essential reference book that explores the properties, evolution, and complexities of drill bit technology. Designed to aid readers in mastering bit selection and optimizing efficient drilling practices, this book provides a comprehensive understanding of the advancements and fundamentals in drill bit technology, history, and properties that have shaped the drilling industry throughout time. Authored by drilling experts, this invaluable resource covers bit design, selection processes for roller cone and PDC Bits, specialty bits, coring techniques, drill string components, operating parameters, performance evaluation, drill string dynamics, and emerging technologies.It serves as a cornerstone for university students and drilling engineers, equipping them with the knowledge needed to optimize drilling practices in the pursuit of sustainable energy solutions.

  • Carbonaceous Polymer Composites

    Fundamentals, Properties and Applications
    • 1st Edition
    • September 1, 2026
    • Omar Faruk + 2 more
    • English
    Carbonaceous-based Polymer Composites: Fundamentals, Properties and Applications covers recycling processes, surface modification, various types of composites with different polymers, their manufacturing processes, properties, and current applications in various industrial sectors. Numerical modeling, future trends, and lifecycle analysis are also discussed in detail. This book will be a valuable reference resource for academic and industrial researchers, materials scientists and engineers, industrial R&D, chemists, manufacturers, and other professionals working on the development of carbon-based composite materials.

  • Deep Learning Approaches for Healthcare Data Analysis and Decision Making

    • 1st Edition
    • September 1, 2026
    • Ashish Bagwari + 5 more
    • English
    Deep Learning Approaches for Healthcare Data Analysis and Decision Making demystifies complex data-driven technologies, providing a clear framework for integrating advanced analytics into healthcare practices. With a focus on practical applications, the authors present a comprehensive digital transformation methodology that empowers readers to tackle the multifaceted challenges of healthcare data management. By leveraging deep learning techniques, readers will learn to analyze vast datasets, identify critical patterns, and develop predictive models that enhance diagnosis and treatment strategies while ensuring compliance with stringent data regulations. The book also addresses the pressing need for ethical AI practices, emphasizing patient privacy and data security. Real-world case studies illustrate how to implement personalized healthcare solutions and foster interdisciplinary collaboration, breaking down silos in knowledge and practice. Moreover, it explores innovative business models for sustainable AI integration, offering actionable insights for healthcare providers. This resource equips professionals with the tools to drive innovation, improve patient outcomes, and navigate the complexities of digital transformation in healthcare, making it a must-read for anyone at the intersection of technology and healthcare.

  • Learning-Based Predictions and Soft Sensing for Process Industries

    Theory, Methodology and Applications
    • 1st Edition
    • September 1, 2026
    • Hamid Reza Karimi + 1 more
    • English
    Learning-Based Predictions and Soft Sensing for Process Industries: Theory, Methodology and Applications covers prediction and soft sensing in industrial processes that are subject to specific challenges with AI-empowered learning algorithms. With the aid of a data-driven modeling strategy, the book explores the problems of industrial prediction and soft sensing and formulates a series of learning-based theory, methodologies, and applications. The book introduces the basics of prediction and soft sensing backgrounds, including different categories of prediction theory. Secondly, covers the foundations of machine learning methodologies, including supervised learning prediction, semi-supervised, and self-supervised prediction. Finally, the book examines novel learning-based models/architectures...

  • Polymer Nanofiber Applications in Cancer Wound Healing

    Advances, Challenges, and Future Directions
    • 1st Edition
    • September 1, 2026
    • Arun Kumar Singh + 4 more
    • English
    Polymer Nanofiber Applications in Cancer Wound Healing: Advances, Challenges, and Future Directions explores the use of nanoscale polymeric fibers for targeted cancer therapy and wound healing. This book addresses the need for therapeutic platforms that deliver treatment directly to tumor sites, minimizing adverse effects on healthy tissues. It covers advances in nanofiber and biopolymer membrane development for applications such as transdermal delivery, skin regeneration, and tissue engineering, while examining challenges and potential advancements in localized cancer treatment and wound healing. The book will be of interest to researchers and academics in materials science, materials chemistry, pharmaceutical sciences and cancer research.

  • Nanobiosensors Technology

    From Theory to Practice
    • 1st Edition
    • September 1, 2026
    • Nabeel Ahmad + 2 more
    • English
    Nanobiosensors Technology: From Theory to Practice offers a comprehensive overview of the fundamentals and research advancements concerning the transition of biosensors nanotechnology from laboratory settings to practical, real-world applications, emphasizing the journey from concept to commercialization. With a multidisciplinary approach, this book serves as a one-stop resource for researchers and scientists across various fields seeking to understand the process of translating nanotechnology-enabl... biosensors into practical applications. It covers the latest advancements, regulatory considerations, commercialization strategies, and future trends.

  • State-of-the-Art Geothermal Well Drilling Case Studies

    • 1st Edition
    • September 1, 2026
    • Dan E Scott + 1 more
    • English
    State-of-the-Art Geothermal Well Drilling Case Studies provides updated information on technological advances and research on the state-of-the-art performance of recent geothermal wells drilled for energy in the global push to reduce greenhouse gases. The book provides advances in a rapidly growing market that has adopted and adapted oilfield technologies to rapid scale development and production as demonstrated through global examples in a case-study format. Different geologic formations and well trajectories require different drilling tools and drilling parameters to yield optimum results.Showcasing current examples of successful global geothermal well-drilling applications, this text provides readers, researchers, and industry professionals with the keys needed to rapidly scale geothermal drilling operations, a clean and abundant source of energy that supports sustainability and reduction of carbon emissions.

  • Biomaterials and Regenerative Medicine in Ophthalmology

    • 3rd Edition
    • September 1, 2026
    • Damien Harkin + 2 more
    • English
    Biomaterials and Regenerative Medicine in Ophthalmology, Third Edition provides an introduction and outline of the biomaterial-ocular surface interface, laying a broad foundation regarding materials, properties, tissue interaction, and design coverage. Subsequent sections systematically cover strategies for reconstruction before exploring other applications, as well as industry and clinical perspectives. In addition, detailed methods for the design and development of ophthalmic biomaterials are outlined, along with supporting industry and clinical case studies, to offer practical insights and allow for improved translation into research and therapeutics. The book is suitable for researchers, academics, and postgraduate students wanting to gain a deeper understanding.In addition, it may also be of interest to R&D groups developing novel ophthalmic biomaterials, as well as clinicians and ophthalmologists with an interest in biomaterials and regenerative strategies.

  • Safety and Reliability of Offshore Renewable Energies

    • 1st Edition
    • September 1, 2026
    • Rouzbeh Abbassi + 3 more
    • English
    Safety and Reliability of Offshore Renewable Energies is a thorough and up-to-date resource that investigates the critical aspects of risk and reliability, to ensure asset durability and long-term performance while developing safe operations in the dynamic and challenging context of offshore renewable energy systems. The book begins with an overview of offshore renewable energy systems, before offering systematic, detailed coverage of regulatory standards for safety and reliability, environmental impacts of operations, risk assessment and management, human factors and safety culture, optimization of infrastructure plans, asset management and maintenance, and decommissioning of offshore renewable infrastructure. This is followed by in-depth chapters focusing on reliability and safety in specific areas, including wind farms, offshore hydrogen, wave and tidal energy, and floating PV systems. Finally, safety and risk in multi-purpose and co-located offshore facilities, an important emerging trend, is discussed. With the additional aim of bridging the gap between industry and academia, this book is of interest to all those involved in offshore renewable energy, including researchers, students, faculty, engineers, consultants, industry professionals, and policy makers.

  • High-Performance Computing

    Applications and Frontiers
    • 1st Edition
    • September 1, 2026
    • Oscar Diez
    • English
    High-Performance Computing: Applications and Frontiers serves as an essential, up-to-date guide for those seeking to master the rapidly evolving field of HPC. Building on foundational concepts, this volume delves into specialized tools and emerging technologies shaping modern research and industry, such as parallel and distributed systems, GPU programming, quantum computing, and cloud-based solutions. Designed for advanced students, researchers, and professionals, it prepares readers to tackle real-world challenges by combining theoretical insights with practical expertise, offering a clear roadmap for navigating both established and cutting-edge HPC landscapes.The book further distinguishes itself by exploring domain-specific applications, machine learning, and the future trajectory of high-performance computing. Key topics include containerization, AI-powered HPC, hybrid and multi-cloud strategies, as well as recent advancements in GPU and quantum technologies. With its blend of theory and hands-on examples, this book is a versatile reference that meets the growing demand for a comprehensive resource in today's data-driven world.

Related subjects