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Elsevier

Books in Physical sciences and engineering

  • Digital Twin and Blockchain for Sensor Networks in Smart Cities

    • 1st Edition
    • Tuan Anh Nguyen
    • English
    Digital twin, blackchain, and wireless sensor networks can work together to improve services in the smart city. Big data derived from wireless sensor networks can be integrated to accommodate the exchange of real-time data between citizens, governments, and organizations. Blockchain can provide high security for large-scale communications and transactions between many stakeholders. Digital twin uses physical models and historical data to integrate big information under multidiscipline, multiphysical quantities, multiscale, and multiprobability conditions.Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twin and blockchain can be optimized to improve services. This book is divided into three parts. Part 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while Part 2 describes their applications for managing the regular operations and services. Part 3 deals with their applications for safe cities.

  • Environmental Hazards of Plastic Wastes

    Bioremediation Approaches for Environmental Clean-up
    • 1st Edition
    • Jakub Zdarta + 2 more
    • English
    Environmental Hazards of Plastic Wastes: Bioremediation Approaches for Environmental Clean-up focuses on the exploitation of various biological treatment technologies, their use to treat plastic contaminants, and restoration of contaminated sites. The book also addresses the biological treatment of plastic waste and its management of sustainable technologies for its reuse for environmental protection. The book examines advanced technologies, updated information, and future directions for researchers and scientists working in the bioremediation and biodegradation of plastic contaminants and reutilization of plastic wastes in the production of construction materials for environmental safety.The treatment of plastic wastes with environmentally benign approaches will be assessed in this book and will also provide ways to protect our natural environment by managing hazardous plastic pollutants through various techno-based, eco-friendly strategies.

  • Hydrogels in Drug Delivery

    Advances in the Manufacture, Characterization, and Application of Hydrogels to Address Current Global Healthcare Challenges
    • 1st Edition
    • Alejandro J. Paredes + 3 more
    • English
    Hydrogels in Drug Delivery: Advances in the Manufacture, Characterization, and Application of Hydrogels to Address Current Global Healthcare Challenges presents the latest advances in hydrogels, ranging from their basic chemistry to specific application of existing and novel hydrogels in controlled drug delivery and biomedicine. Hydrogels have been increasingly used in the development of novel formulations in a wide variety of therapeutic and monitoring applications. Multidisciplinary work carried out by researchers working in synthetic chemistry, drug delivery, biomedicine and other fields has led to the development of novel polymers, enabling the preparation of hydrogels with adjustable physicochemical properties. Accordingly, these materials offer multiple advantages over other drug delivery systems, including an increased patient compliance by reducing the required number of medication doses, reducing the healing time in injuries, and simplifying patient monitoring by reducing the invasiveness of current methods.Hydrogels in Drug Delivery is an essential resource for graduate students and researchers working within drug delivery and synthetic chemistry, biomedicine, material science, pharmacology, and chemical engineering.

  • Beneficial Elements for Remediation of Heavy Metals in Polluted Soil

    • 1st Edition
    • Shah Saud + 2 more
    • English
    Beneficial Elements for Remediation of Heavy Metals in Polluted Soils provides readers with comprehensive information on soil pollution and beneficial elements. Each chapter summarizes the beneficial elements interaction in soil and its impact on the environment. In addition, the book covers many current environmental issues, such as pollution and monitoring of various heavy metals, organic pollutants, and environmental hormones such as pesticides.The book goes a step further by offering information on substances that have been recently confirmed and suspected to be carcinogenic, chromogenic, and transtoxic. Toxicological issues such as the type and condition of the pollutants, toxicity, mechanism of action and influencing factors, metabolic processes in vivo, and toxic damage manifestations are also addressed.

  • The Elements of Polymer Science and Engineering

    • 4th Edition
    • Alfred Rudin + 1 more
    • English
    The Elements of Polymer Science and Engineering, Fourth Edition updates on the field of polymers, which has advanced considerably since the book's last publication. A key feature of this new edition is the inclusion of new and updated content on such concepts as multifunctional polymers, bioderived polymers, computation modeling, polymer sustainability, and newer manufacturing methods like 3D printing. Improvements to the book’s pedagogy include the addition of more worked examples, more end-of-chapter problems, and new figures to better illustrate key concepts. This book is ideal for advanced undergraduate and graduate students in physics, chemistry, chemical engineering, and anyone in related courses.This edition has also been reorganized to become more aligned with how instructors currently teach the course. It is ideal for one- or two-semester introductory courses in polymer science and engineering taught primarily to senior undergraduate and first-year graduate students in a variety of disciplines, but primarily chemical engineering and materials science.

  • Progress in Floating Photovoltaic Systems

    • 1st Edition
    • Marco Rosa-Clot + 1 more
    • English
    Progress in Floating Photovoltaic Systems reflects the huge growth underway in floating photovoltaic (PV) systems, covering the latest technologies, new ideas, and practical solutions—currently available in the sector—to support further development and implementation.This book begins by introducing floating PV, its potential, and its role as the third pillar of PVs, alongside land and roof. This is followed by in-depth chapters detailing materials and design of structures, tracking systems, cooling, cleaning systems, snow load and evaporation, mooring systems, PV modules and uses, hydroelectric coupling, wind load and wave impact, and offshore solutions. The final chapters provide measurements of existing plants, economic and financial analysis, and detailed information on environmental impact and mitigation.This book is a valuable resource for researchers, graduate students, R&D professionals, electrical engineers, power engineers, and practitioners involved in PVs, solar energy, and renewable energy.

  • Geohazards and Disasters

    Modelling Scenarios as a Challenge for the Future
    • 1st Edition
    • Salvatore Martino + 2 more
    • English
    Geohazards and Disasters: Modelling Scenarios as a Challenge for the Future aims to depict an updated view of the most significant technical-scientific knowledge on the topic of geological risks and related mitigation strategies with a focus on the resilience of anthropic communities, and with an aim to sensitize them towards a prevention approach that is fed through awareness and technical competence. This book fills knowledge gaps by relating on scientific and technical progress for the conscious and sustainable management of risk in a multi-hazard perspective.This comprehensive resource will be a welcomed by researchers, academicians, graduate and undergraduate students, and professionals in the field of geology, specifically those focused on geohazards and disaster management.

  • Artificial Neural Networks and Type-2 Fuzzy Set

    Elements of Soft Computing and Its Applications
    • 1st Edition
    • Snehashish Chakraverty + 2 more
    • English
    Soft computing is an emerging discipline which aims to exploit tolerance for imprecision, approximate reasoning, and uncertainty to achieve robustness, tractability, and cost effectiveness for building intelligent machines. Soft computing methodologies include neural networks, fuzzy sets, genetic algorithms, Bayesian networks, and rough sets, among others. In this regard, neural networks are widely used for modeling dynamic solvers, classification of data, and prediction of solutions, whereas fuzzy sets provide a natural framework for dealing with uncertainty. Artificial Neural Networks and Type-2 Fuzzy Set: Elements of Soft Computing and Its Applications covers the fundamental concepts and the latest research on variants of Artificial Neural Networks (ANN), including scientific machine learning and Type-2 Fuzzy Set (T2FS). In addition, the book also covers different applications for solving real-world problems along with various examples and case studies. It may be noted that quite a bit of research has been done on ANN and Fuzzy Set theory/ Fuzzy logic. However, Artificial Neural Networks and Type-2 Fuzzy Set is the first book to cover the use of ANN and fuzzy set theory with regards to Type-2 Fuzzy Set in static and dynamic problems in one place. Artificial Neural Networks and Type-2 Fuzzy Sets are two of the most widely used computational intelligence techniques for solving complex problems in various domains. Both ANN and T2FS have unique characteristics that make them suitable for different types of problems. This book provides the reader with in-depth understanding of how to apply these computational intelligence techniques in various fields of science and engineering in general and static and dynamic problems in particular. Further, for validation purposes of the ANN and fuzzy models, the obtained solutions of each model in the book is compared with already existing solutions that have been obtained with numerical or analytical methods.

  • Biofuel Cells and Energy Generation

    • 1st Edition
    • Kishor Kumar Sadasivuni + 1 more
    • English
    Biofuel Cells and Energy Generation analyzes the current state-of-the-art and offers solutions to key challenges in developing carbohydrate-based biofuel cell technology. The book provides a critical review of biofuel cell technology, including principles, components, applications, obstacles, and prospects, and assesses the economic, safety, health, and environmental implications. Sections focus on the diversity of biomass resources, the fundamental characteristics of biomass, the major effects of biomass composition variations on biofuel cell technology, and a thorough review of the research literature on approaches for decreasing the detrimental impacts of biomass variability on fuel cells.In addition, a comprehensive examination of biofuel cell technology's current state and applications is presented that is supported by an explanation of the fundamentals, concepts, mechanisms, characteristics, optimal parameters, analytical characterization techniques, diverse types, all-category materials, catalysts, engineering designs, implantable biofuel cells, applications, and critical criteria. A variety of applications are addressed, including power implanted devices in biomedical applications, biosensors for smart communities, and nanomaterials for biofuel cells, among others. For each application, unresolved issues are identified, and solutions proposed.

  • Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

    Prediction Models Exploiting Well-Log Information
    • 1st Edition
    • David A. Wood
    • English
    Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized—and sparse datasets of input variables enhanced and/or rescaled—to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more.Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic.

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