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Elsevier

Books in Physical sciences and engineering

  • Mathematical Methods of Analytical Mechanics

    • 1st Edition
    • Henri Gouin
    • English
    Mathematical Methods of Analytical Mechanics uses tensor geometry and geometry of variation calculation, includes the properties associated with Noether's theorem, and highlights methods of integration, including Jacobi's method, which is deduced. In addition, the book covers the Maupertuis principle that looks at the conservation of energy of material systems and how it leads to quantum mechanics. Finally, the book deduces the various spaces underlying the analytical mechanics which lead to the Poisson algebra and the symplectic geometry.

  • Power Electronics and Motor Drives

    Advances and Trends
    • 2nd Edition
    • Bimal K. Bose
    • English
    Power Electronics and Motor Drives: Advances and Trends, Second Edition is the perfect resource to keep the electrical engineer up-to-speed on the latest advancements in technologies, equipment and applications. Carefully structured to include both traditional topics for entry-level and more advanced applications for the experienced engineer, this reference sheds light on the rapidly growing field of power electronic operations. New content covers converters, machine models and new control methods such as fuzzy logic and neural network control. This reference will help engineers further understand recent technologies and gain practical understanding with its inclusion of many industrial applications. Further supported by a glossary per chapter, this book gives engineers and researchers a critical reference to learn from real-world examples and make future decisions on power electronic technology and applications.

  • Advances in Catalysis

    • 1st Edition
    • Volume 66
    • Chunshan Song
    • English
    Advances in Catalysis, Volume 66, fills the gap between journal papers and textbooks across the diverse areas of catalysis research. For more than 60 years, this series has dedicated itself to record and present the latest progress in the field of catalysis, providing the scientific community with comprehensive and authoritative reviews. This series is an invaluable and comprehensive resource for chemical engineers and chemists working in the field of catalysis in both academia and industry.

  • Biomedical Applications of Microfluidic Devices

    • 1st Edition
    • Michael R. Hamblin + 1 more
    • English
    Biomedical Applications of Microfluidic Devices introduces the subject of microfluidics and covers the basic principles of design and synthesis of actual microchannels. The book then explores how the devices are coupled to signal read-outs and calibrated, including applications of microfluidics in areas such as tissue engineering, organ-on-a-chip devices, pathogen identification, and drug/gene delivery. This book covers high-impact fields (microarrays, organ-on-a-chip, pathogen detection, cancer research, drug delivery systems, gene delivery, and tissue engineering) and shows how microfluidics is playing a key role in these areas, which are big drivers in biomedical engineering research. This book addresses the fundamental concepts and fabrication methods of microfluidic systems for those who want to start working in the area or who want to learn about the latest advances being made. The subjects covered are also an asset to companies working in this field that need to understand the current state-of-the-art. The book is ideal for courses on microfluidics, biosensors, drug targeting, and BioMEMs, and as a reference for PhD students. The book covers the emerging and most promising areas of biomedical applications of microfluidic devices in a single place and offers a vision of the future.

  • Trends in Deep Learning Methodologies

    Algorithms, Applications, and Systems
    • 1st Edition
    • Vincenzo Piuri + 3 more
    • English
    Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models.

  • Solid State Physics

    • 1st Edition
    • Volume 71
    • Robert L. Stamps
    • English
    Solid State Physics, Volume 71 provides the latest volume in this long-running series. This latest volume highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.

  • Research and Application of Hot In-Place Recycling Technology for Asphalt Pavement

    • 1st Edition
    • Banting W.P. Sze + 1 more
    • English
    Research and Application of Hot In-Place Recycling Technology for Asphalt Pavement is the first comprehensive book on the topic that presents over two decades of theoretical and practical experience gained in China. The book gives comprehensive coverage of HIPR, including pavement evaluation, distress analysis, mix design, processes and equipment selection, implementation and acceptance criteria. In eight chapters, this book covers HIPR from theoretical and practical viewpoints, and provides detailed case-studies based on real-world experience. This book includes everything engineers need to apply HIPR to improve sustainability and reduce disruption during the maintenance and repair of asphalt.

  • Handbook on the Physics and Chemistry of Rare Earths

    Including Actinides
    • 1st Edition
    • Volume 58
    • Vitalij K. Pecharsky + 1 more
    • English
    Handbook on the Physics and Chemistry of Rare Earths: Including Actinides, Volume 58, the latest release in this continuous series that covers all aspects of rare earth science, including chemistry, life sciences, materials science and physics, presents interesting chapters on Forensic applications of rare earth materials, and Rare earths, the seventeen-position nob.

  • Nuclear Power Plant Design and Analysis Codes

    Development, Validation, and Application
    • 1st Edition
    • Jun Wang + 3 more
    • English
    Nuclear Power Plant Design and Analysis Codes: Development, Validation, and Application presents the latest research on the most widely used nuclear codes and the wealth of successful accomplishments which have been achieved over the past decades by experts in the field. Editors Wang, Li,Allison, and Hohorst and their team of authors provide readers with a comprehensive understanding of nuclear code development and how to apply it to their work and research to make their energy production more flexible, economical, reliable and safe.Written in an accessible and practical way, each chapter considers strengths and limitations, data availability needs, verification and validation methodologies and quality assurance guidelines to develop thorough and robust models and simulation tools both inside and outside a nuclear setting. This book benefits those working in nuclear reactor physics and thermal-hydraulics, as well as those involved in nuclear reactor licensing. It also provides early career researchers with a solid understanding of fundamental knowledge of mainstream nuclear modelling codes, as well as the more experienced engineers seeking advanced information on the best solutions to suit their needs.

  • Strategy, Leadership, and AI in the Cyber Ecosystem

    The Role of Digital Societies in Information Governance and Decision Making
    • 1st Edition
    • Hamid Jahankhani + 4 more
    • English
    Strategy, Leadership and AI in the Cyber Ecosystem investigates the restructuring of the way cybersecurity and business leaders engage with the emerging digital revolution towards the development of strategic management, with the aid of AI, and in the context of growing cyber-physical interactions (human/machine co-working relationships). The book explores all aspects of strategic leadership within a digital context. It investigates the interactions from both the firm/organization strategy perspective, including cross-functional actors/stakeholders who are operating within the organization and the various characteristics of operating in a cyber-secure ecosystem. As consumption and reliance by business on the use of vast amounts of data in operations increase, demand for more data governance to minimize the issues of bias, trust, privacy and security may be necessary. The role of management is changing dramatically, with the challenges of Industry 4.0 and the digital revolution. With this intelligence explosion, the influence of artificial intelligence technology and the key themes of machine learning, big data, and digital twin are evolving and creating the need for cyber-physical management professionals.

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