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Books in Physical sciences and engineering

  • Advances in Biomaterials for Drug Delivery: Properties, Clinical Applications, and Challenges

    • 1st Edition
    • Teenu Sharma + 1 more
    • English
    Advances in Biomaterials for Drug Delivery: Properties, Clinical Applications and Challenges comprehensively reviews various biomaterials and biomaterial-derived carrier systems, with a specific focus on their application in drug delivery, and their clinical and regulatory challenges. A broad range of biomaterials for drug delivery are covered, including natural biomaterials, inorganic biomaterials, synthetic biomaterials, 3-D/4-D printed biomaterials, metal-based biomaterials, and polymeric and lipidic biomaterials. Various drug delivery approaches are detailed, from pulmonary and transdermal through to oral and systemic. Key to translational success of these novel platforms are the regulatory and clinical aspects of biomaterials development and application; these aspects are covered in each chapter, providing vital insight required to make informed decisions. Advances in Biomaterials for Drug Delivery: Properties, Clinical Applications and Challenges is an interesting resource for researchers and academics in the fields in biomaterials, materials science, polymer science, and pharmaceutical science, as well as clinicians and R&D groups with an interest in the development of novel biomaterials for drug delivery.

  • Understanding Models Developed with AI

    Including Applications with Python and MATLAB Code
    • 1st Edition
    • Ömer Faruk Ertuğrul + 2 more
    • English
    Understanding Models Developed by AI: Including Applications with Python and MATLAB Code is a comprehensive guide on the intricacies of AI models and their real-world applications. The book demystifies complex AI methodologies by providing clear explanations and practical examples that are reinforced with Python and MATLAB program codes. Its content structure emphasizes a practical, applications-driven approach to understanding AI models, with hands-on coding examples throughout each chapter. Readers will find the tools they need to build AI models, along with the knowledge to make these models accessible and interpretable to stakeholders, thus fostering trust and reliability in AI systems.As the primary issues with the adoption of AI/ML models are reliability, transparency, interpretation of results, and bias (data and algorithm) management, this resource give researchers and developers what they need to be able to not only implement AI models, but also interpret and explain them. This is crucial in industries where decision-making processes must be transparent and understandable.

  • Enhancing the Control of Systems and Devices

    Improving Performance, Reliability and Adaptability in Dynamic Environments
    • 1st Edition
    • Sheetla Prasad + 2 more
    • English
    Enhancing the Control of Systems and Devices: Improving Performance, Reliability and Adaptability in Dynamic Environments provides an in-depth exploration of the application of sophisticated control design strategies to enhance the control of systems and devices in terms of performance, reliability, and adaptability in dynamic environments. A sophisticated control design strategy refers to the use of advanced and intricate control techniques to achieve specific objectives in complex systems.

  • Power Converters for Photovoltaic Power Systems

    Control, Fault Diagnosis, and Reliability Analysis
    • 1st Edition
    • Ahteshamul Haque + 3 more
    • English
    Power Converters for Photovoltaic Power Systems: Control, Fault Diagnosis, and Reliability Analysis guides readers through the latest technologies and applications of advanced converters for the renewable-integrated energy systems of the future. The book begins with an introduction to the design principles of converters for PV applications and grid synchronization techniques before breaking down complex control strategies for PV systems, including the injection of active and reactive power in solar inverters. Fault detection, analysis, and localization are covered in detail, as are failure modes, risk indices, criticality analysis, and more advanced condition monitoring techniques.Additiona... chapters cover optimizing thermal management to ensure efficient operation and reliability of photovoltaic systems, and thermal control methods for reliable operation and longevity of power electronic converters. Finally, guidance is provided on Digital Twin Integration for condition monitoring of photovoltaic-integra... energy systems.

  • Automatic Control Of Dynamic Systems

    Applications in Ocean Wave Energy Conversion
    • 1st Edition
    • Shangyan Zou + 2 more
    • English
    Dynamics and Control of Ocean Wave Energy Converters: Theory and Applications outlines the fundamental theory and applications of wave energy production techniques, with detailed explanations of the dynamics and hydrodynamics of wave energy converters. Methods and models of control are described next, including essential techniques from systems response and PID control to state space realization. Next, advanced reactive control techniques, such as Latching Control, Bang-Bang Control, and advanced optimal control algorithms, will be outlined. The final chapters show how to calculate optimal estimation for wave energy conversion using techniques such as Kalman Filters and Extended Kalman filters.Providing a range of problems and case studies to enhance understanding, this book will take readers from the essentials of wave energy conversion to advanced control techniques for responsive energy production.

  • Chemical Looping Deoxygenated Gasification of Biomass

    A Renewable and Carbon-Neutral Energy Source
    • 1st Edition
    • Zhiqiang Sun + 1 more
    • English
    Chemical Looping Deoxygenated Gasification of Biomass: A Renewable and Carbon-Neutral Energy Source explores the emerging technology of chemical looping deoxygenated gasification, which offers a promising pathway for efficient biomass utilization. The book provides valuable insights into advancements, technological breakthroughs, and practical applications of biomass gasification, addressing the challenges of cost-effectiveness, scalability, and environmental impact. Sections provide an introduction to biomass cyclic conversion technology, including sorption-enhanced gasification, conventional chemical looping gasification, and chemical looping deoxygenated gasification, and cover the screening of deoxidizer materials using thermodynamic and machine learning approaches, system modeling, simulation, hydrogen production, carbon dioxide utilization, and the kinetics of biomass gasification. Each chapter provides detailed insights into the principles, methods, and applications of these technologies, all supported by real-world case studies, cost-benefit analyses, and lifecycle assessments. The book provides a thorough understanding of the technology's practical applications and economic viability, making it an essential reference for researchers, scientists, engineers, and professionals working in the bioenergy and biofuels sector.

  • Geospatial Techniques in Climate Change Monitoring and Environmental Mapping

    An Interdisciplinary Approach to Risk Reduction
    • 1st Edition
    • Volume 11
    • Jung-Sup Um + 3 more
    • English
    Geospatial Techniques in Climate Change Monitoring and Environmental Mapping: An Interdisciplinary Approach to Risk Reduction presents a comprehensive examination of innovative geospatial methods utilized to address the challenges posed by climate change across various sectors. The book encompasses a wide array of topics, including the application of remote sensing in agriculture, urban climate change mitigation, and the evaluation of land use effects on surface temperatures. It highlights the integration of advanced technologies such as machine learning and satellite imagery to enhance drought risk mapping, deforestation detection, and flood prediction, providing valuable insights into environmental sustainability. Moreover, the text emphasizes participatory approaches and the role of local communities in climate resilience. By synthesizing interdisciplinary perspectives, the book underscores the importance of collaborative efforts in developing effective mitigation and adaptation strategies. Ultimately, this work serves as a vital resource for researchers and practitioners committed to leveraging geospatial techniques for effective climate change risk reduction and environmental management.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.

  • Modern Energy Storage

    The Key to Energy System Transformation
    • 1st Edition
    • Huaiguang Jiang
    • English
    Modern Energy Storage: The Key to Energy System Transformation is a unique reference designed to give students and researchers the most advanced information on technologies in energy storage systems.Energy storage is a complex system, often containing several energy storage techniques to complement each other. This reference covers those techniques by looking at li-ion battery-based energy storage systems and all indispensable technologies in different scenarios or real applications including Compressed Air Storage, Power to gas systems, Pumped Thermal, Liquid Air Storage, Thermochemical storage, and more.Compiled by global experts and considering latest advances related to full recyclable process, second use, pollution reduction, and low-carbon industry & economy, which will boost the real applications of the energy storage systems. By addressing the current challenges of energy storage technologies and potential solutions, this comprehensive text uses algorithms, methods, and programs as a technical-encycloped... for energy-storage-relat... areas such as Electric vehicles, Intelligent Transportation, Environment, and smart cities.Designed to inform, advise, and create discussion about the energy transition, climate, low carbon power and economy, the contributors provide abundant and valuable materials and references for the students, researchers, engineers, professors in in energy, engineering and environmental areas.

  • Data Compression for Data Mining Algorithms

    • 1st Edition
    • Xiaochun Wang
    • English
    Data Compression for Data Mining Algorithms tackles the important problems in the design of more efficient data mining algorithms by way of data compression techniques and provides the first systematic and comprehensive description of the relationships between data compression mechanisms and the computations involved in data mining algorithms. Data mining algorithms are powerful analytical techniques used across various disciplines, including business, engineering, and science. However, in the big data era, tasks such as association rule mining and classification often require multiple scans of databases, while clustering and outlier detection methods typically depend on Euclidean distance for similarity measures, leading to high computational costs.Data Compression for Data Mining Algorithms addresses these challenges by focusing on the scalarization of data mining algorithms, leveraging data compression techniques to reduce dataset sizes and applying information theory principles to minimize computations involved in tasks such as feature selection and similarity computation. The book features the latest developments in both lossless and lossy data compression methods and provides a comprehensive exposition of data compression methods for data mining algorithm design from multiple points of view.Key discussions include Huffman coding, scalar and vector quantization, transforms, subbands, wavelet-based compression for scalable algorithms, and the role of neural networks, particularly deep learning, in feature selection and dimensionality reduction. The book’s contents are well-balanced for both theoretical analysis and real-world applications, and the chapters are well organized to compose a solid overview of the data compression techniques for data mining. To provide the reader with a more complete understanding of the material, projects and problems solved with Python are interspersed throughout the text.

  • Pioneering Approaches in Intelligence, Optimization, and Viability for Renewable Energy Development

    • 1st Edition
    • Karthickeyan Viswanathan + 3 more
    • English
    Pioneering Approaches in Intelligence, Optimization, and Viability for Renewable Energy Development brings together key advances that are driving growth and development across the renewable energy sector. Innovative areas covered include machine learning, cutting-edge optimization techniques, artificial intelligence, environmental protection, economic viability, integration of blockchain technology, forecasting and predictive analytics, resilience and reliability, and energy storage systems. This book will be of interest to all those looking to understand and implement advanced techniques for renewable energy development, including researchers, advanced students, faculty, engineers, R&D, other industry professionals, and policy makers.

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