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Books in Physical sciences and engineering

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    • Hydrogen Production, Transportation, Storage, and Utilization

      • 1st Edition
      • February 10, 2025
      • Sohrab Zendehboudi + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 0 4 2 3
      • eBook
        9 7 8 0 4 4 3 2 4 0 4 3 0
      Hydrogen Production, Transportation, Storage, and Utilization: Theoretical and Practical Aspects is a comprehensive introduction to the theoretical and practical aspects of hydrogen as an energy vector. This book presents upstream, midstream, and downstream aspects and, at each stage, explains the concepts, methods, applications, and economics to provide a broad understanding of hydrogen energy.This book explains each of the key aspects of hydrogen energy in dedicated chapters, guiding readers through the fundamentals of hydrogen as an energy vector to economic, safety, and environmental considerations. Chapter 1 explores energy storage technologies, highlighting hydrogen’s role as a clean, versatile energy carrier alongside electrochemical batteries and thermal energy storage. Chapter 2 analyzes the methods for hydrogen production and provides a review of the fundamental, technological, and environmental aspects of these methods. Chapters 3 and 4 examine the physical, chemical, and material methods for hydrogen storage, explaining the underlying theory, concepts, and mechanisms, and critically analyzing the challenges and opportunities. Chapter 5 explores the downstream aspects of hydrogen in transportation, power generation, energy supply in industry, and as a feedstock in refineries and the chemical industry. Chapter 6 builds on the previous chapters to provide a roadmap to the utilization of hydrogen energy, such as site evaluation and monitoring, and is supported by two case studies for hydrogen production and its storage by physical and chemical methods. Finally, Chapter 7 addresses the economic, safety, and environmental aspects of hydrogen supply chain alongside a well-to-wheel analysis.This book offers readers an invaluable introduction to the theoretical and practical aspects of hydrogen energy for students, researchers, and professional engineers and will be of interest to anyone seeking a broad introduction to the topic of hydrogen energy.

    • The Ecology of Sandy Shores

      • 4th Edition
      • February 6, 2025
      • Omar Defeo + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 7 5 4 8
      • eBook
        9 7 8 0 4 4 3 2 1 7 5 5 5
      The Ecology of Sandy Shores, Fourth Edition provides both a holistic and conceptual introduction for the beginner, yet at the same time gives an in-depth and cutting-edge analysis for the researcher interested in sandy shores. There is no other book covering the ecology of sandy beaches, despite the extent and economic importance of these systems. This guide is designed to both introduce students to the basic principles of sandy shore ecology, to serve as a ready reference for doctoral students and researchers working on these systems, and to provide a handbook for land and coastal managers.This new edition will focus on humans as part of the sandy beach environment, including aspects such as global change in coastal systems and its impacts on sandy littoral zones through ‘coastal squeeze’. Further, prominence will be given to resource use, such as artisanal fisheries and to the critical area of coastal zone management and governance. Considering these two main issues, the concept of sandy beaches as social-ecological systems will be developed together with an illustrative framework related to this approach.

    • Biochar Ecotechnology for Sustainable Agriculture and Environment

      • 1st Edition
      • February 6, 2025
      • Abhay Kumar + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 8 5 5 4
      • eBook
        9 7 8 0 4 4 3 2 9 8 5 6 1
      Biochar Ecotechnology for Sustainable Agriculture and Environment summarizes current accomplishments in biochar ecotechnologies for enhancing agricultural production, encouraging sustainable waste management, and fostering a circular bioeconomy by advancing the pyrolysis process at both large-scale industrial and small-scale-local levels. Chapters in the book synthesize recent breakthroughs in biochar agro-ecotechnologies for increasing agricultural productivity and promoting circular bioeconomy by advancing the pyrolysis process and add mechanisms involved in biochar-fertilizer mediated in-soil biogeochemical cycle and nutrients retention, availability and their losses, soil-microbial responses, emission of greenhouse gases, and plant responses.Finally, this book aims to increase research understanding of nanotechnological breakthroughs in the production of biochar-based slow-release fertilizers, including their Nano characteristics involved in increasing fertilizer usage efficiency and managing chemical losses, for sustainable agriculture and the environment.

    • Advanced Nuclear Fuels and Materials

      • 1st Edition
      • February 5, 2025
      • Rongzheng Liu + 2 more
      • English
      • Hardback
        9 7 8 0 4 4 3 2 3 8 1 0 9
      • eBook
        9 7 8 0 4 4 3 2 3 8 1 1 6
      Advanced Nuclear Fuels and Materials covers different fuel types such as oxide fuels,metal and alloy fuels, carbide fuels, nitride fuels, composite fuels, and transmutationtargets... Other fuels discussed include those used in advanced reactor systems, includinghigh temperature gas cooled reactor fuels, molten salt reactor fuels, sodium cooled fastreactor fuels, lead cooled fast reactor fuels, gas cooled fast reactor fuels, and supercriticalwater reactor fuels.Additional sections focus on materials used in nuclear reactors, including structuralalloys, control rod materials, and graphite. The numerical simulation of advancednuclear fuels, and the frontier of nuclear fuels, including new accident tolerant fuelsand nano materials used in advanced nuclear energy systems are also elaborated.The comprehensive coverage provided by the book makes it an ideal reference forsenior undergraduates and graduate students and professional researchers/engineer... in nuclear energy, nuclear fuel, or material science.

    • Marine Geography

      • 1st Edition
      • February 5, 2025
      • Barbara Bischof
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 1 5 6 2
      • eBook
        9 7 8 0 4 4 3 2 9 1 5 7 9
      Marine Geography: Ocean Space and Sense of Place offers an innovative and comprehensive exploration of ocean spaces through the lens of geographic thought, establishing marine geography as a unique subdiscipline. It addresses the historical neglect of oceans in geography, providing core theories and approaches that can be applied to address geographic issues unique to this space, such as fisheries, blue economies, coastal development and management, mobilities and shipping, and maritime governance. Expanding traditional geographic concepts and incorporating the more-than-human elements inherent to this space, this work tweaks ways that geographic analysis can be applied to ocean systems in meaningful ways. This book explores mapping techniques and lays out the physical dynamics and scientific models that provide the contextual realities with which we engage these complex environments and explores how our land-based perspectives shape our interactions with the marine world. It assembles the innovative theoretical geographical frameworks being applied to address ocean spaces and provides the building blocks for establishing an ocean point of view. Filled with practical examples and foundational theories, this book serves as a vital resource for students, researchers, and anyone interested in bridging the gap between marine science and geography.

    • Digital Signal Processing

      • 4th Edition
      • February 5, 2025
      • Li Tan + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 3 3 5 3
      • eBook
        9 7 8 0 4 4 3 2 7 3 3 6 0
      Digital Signal Processing: Fundamentals, Applications, and Deep Learning, Fourth Edition introduces students to the fundamental principles of digital signal processing (DSP) while also providing a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this title is also useful as a reference for non-engineering students and practicing engineers.This book goes beyond DSP theory, showing the implementation of algorithms in hardware and software. Additional topics covered include DSP for artificial intelligence, adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as pulse-code modulation, µ-law, adaptive differential pulse-code modulation, multi-rate DSP, oversampling analog-to-digital conversion, sub-band coding, wavelet transform, and neural networks.

    • Dimensionality Reduction in Machine Learning

      • 1st Edition
      • February 4, 2025
      • Jamal Amani Rad + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 8 1 8 3
      • eBook
        9 7 8 0 4 4 3 3 2 8 1 9 0
      Dimensionality Reduction in Machine Learning covers both the mathematical and programming sides of dimension reduction algorithms, comparing them in various aspects. Part One provides an introduction to Machine Learning and the Data Life Cycle, with chapters covering the basic concepts of Machine Learning, essential mathematics for Machine Learning, and the methods and concepts of Feature Selection. Part Two covers Linear Methods for Dimension Reduction, with chapters on Principal Component Analysis and Linear Discriminant Analysis. Part Three covers Non-Linear Methods for Dimension Reduction, with chapters on Linear Local Embedding, Multi-dimensional Scaling, and t-distributed Stochastic Neighbor Embedding.Finally, Part Four covers Deep Learning Methods for Dimension Reduction, with chapters on Feature Extraction and Deep Learning, Autoencoders, and Dimensionality reduction in deep learning through group actions. With this stepwise structure and the applied code examples, readers become able to apply dimension reduction algorithms to different types of data, including tabular, text, and image data.

    • Advances in Computational Methods and Modeling for Science and Engineering

      • 1st Edition
      • February 4, 2025
      • Hari M Srivastava + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 0 1 2 7
      • eBook
        9 7 8 0 4 4 3 3 0 0 1 3 4
      Advances in Computational Methods and Modelling in Science and Engineering explores the application of computational techniques and modeling approaches in science and engineering, providing practical knowledge and skills for tackling complex problems using numerical simulations and data analysis. This book addresses the need for a cohesive and up-to-date resource in the rapidly evolving field of computational methods. It consolidates diverse topics, serving as a one-stop guide for individuals seeking a comprehensive understanding of the subject matter. Sections focus on mathematical techniques that provide global solutions for models arising in engineering and scientific research applications by considering their long-term benefits.The mathematical treatment of these models is very helpful in understanding these models and their real-world applications. The methods and modeling techniques presented are useful for mathematicians, engineers, scientists, and researchers working on the mathematical treatment of models in a wide range of applications, including disciplines such as engineering, physics, chemistry, computer science, and applied mathematics.

    • Approximation Theory and Applications

      • 1st Edition
      • February 4, 2025
      • Sergei Aliukov
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 1 4 1 8
      • eBook
        9 7 8 0 4 4 3 2 9 1 4 2 5
      Approximation Theory and Applications: Piecewise Linear and Generalized Functions presents the main provisions of approximation theory, and considers existing and new methods for approximating piecewise linear and generalized functions, widely used to solve problems related to mathematical modeling of systems, processes, and phenomena in fields ranging from engineering to economics. The widespread use of piecewise linear and generalized functions is explained by the simplicity of their structure. However, challenges often arise when constructing solutions over the entire domain of these functions, requiring the use special mathematical methods to put theory into practice. This book first offers a first full foundation in approximation theory as it relates to piecewise linear and generalized functions, followed by staged methods to resolve common problems in practice, with applications examined across structural mechanics, medicine, quantum theory, signal theory, semiconductor theory, mechanical engineering, heat engineering, and other fields. Later chapters consider numerical verification of approximation methods, and approximation theory as the basis for new macroeconomic theory with impulse and jump characteristics. Each chapter includes questions for review and sample problems, accompanied by a separate Solutions Manual hosted for instructor access.

    • Data Mining

      • 5th Edition
      • February 4, 2025
      • Ian H. Witten + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 8 8 8 9
      • eBook
        9 7 8 0 4 4 3 1 5 8 8 9 6
      Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today’s techniques coupled with the methods at the leading edge of contemporary research

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