Skip to main content
Elsevier
View Cart

Books in Physical sciences and engineering

BooksJournals

    • Thermal Degradation of Polymeric Materials

      • 2nd Edition
      • November 5, 2022
      • Krzysztof Pielichowski + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 0 2 3 7
      • eBook
        9 7 8 0 1 2 8 2 3 1 4 2 5
      Thermal Degradation of Polymeric Materials, Second Edition offers a wealth of information for polymer researchers and processors who require a thorough understanding of the implications of thermal degradation on materials and product performance. Sections cover thermal degradation mechanisms and kinetics, as well as various techniques, such as thermogravimetry in combination with mass spectroscopy and infrared spectrometry to investigate thermal decomposition routes. Other chapters focus on polymers and copolymers, including polyolefins, styrene polymers, polyvinyl chloride, polyamides, polyurethanes, polyesters, polyacrylates, natural polymers, inorganic polymers, high temperature-resistan... and conducting polymers, blends, organic-inorganic hybrid materials, nanocomposites, and biocomposites. Finally, other key considerations such as recycling of polymers by thermal degradation, thermal degradation during processing, and modelling, are discussed in detail.

    • Microfluidic Biosensors

      • 1st Edition
      • November 5, 2022
      • Wing Cheung Mak + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 8 4 6 2
      • eBook
        9 7 8 0 1 2 8 2 3 8 4 7 9
      Microfluidic Biosensors provides a comprehensive overview covering the most recent emerging technologies on the design, fabrication, and integration of microfluidics with transducers. These form various integrated microfluidic biosensors with device configurations ranging from 2D to 4D levels. Coverage also includes advanced printed microfluidic biosensors, flexible microfluidics for wearable biosensors, autonomous lab-on-a-chip biosensors, CMOS-base microanalysis systems, and microfluidic devices for mobile phone biosensing. The editors and contributors of this book represent both academia and industry, come from a varied range of backgrounds, and offer a global perspective. This book discusses the design and principle of microfluidic systems and uses them for biosensing applications. The microfluidic fabrication technologies covered in this book provide an up-to-date view, allowing the community to think of new ways to overcome challenges faced in this field. The focus is on existing and emerging technologies not currently being analyzed extensively elsewhere, providing a unique perspective and much-needed content. The editors have crafted this book to be accessible to all levels of academics from graduate students, researchers, and professors working in the fields of biosensors, microfluidics design, material science, analytical chemistry, biomedical devices, and biomedical engineering. It can also be useful for industry professionals working for microfluidic device manufacturers, or in the industry of biosensors and biomedical devices.

    • Annual Reports on Computational Chemistry

      • 1st Edition
      • Volume 18
      • November 5, 2022
      • English
      • Hardback
        9 7 8 0 3 2 3 9 9 0 9 2 9
      • eBook
        9 7 8 0 3 2 3 9 9 0 9 3 6
      Annual Reports in Computational Chemistry, Volume 18 in this important serial, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Atomistic modelling of surface plasmon resonances, Recent Advances in Solvation Modelling Applications: Chemical Properties, Reaction Mechanisms and Catalysis, Entropy considerations in catalysis, High level computational chemistry methods, and Computational Organofluorine chemistry.

    • Emerging Applications of Carbon Nanotubes in Drug and Gene Delivery

      • 1st Edition
      • November 5, 2022
      • Prashant Kesharwani
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 1 9 9 2
      • eBook
        9 7 8 0 3 2 3 8 5 5 7 5 4
      Emerging Applications of Carbon Nanotubes in Drug and Gene Delivery brings together principles behind the formation, characterization and development of carbon nanotubes (CNTs) with recent advances in drug and gene delivery applications. The book begins with an introduction to the unique properties of CNTs, as well as the various synthesis, purification and functionalization methods available. Later chapters cover drug and gene delivery using CNTs for therapeutic applications, comparing advantages and disadvantages of each. The book then goes on to discuss toxicity and safety challenges in using CNTs in biomedicine, with a forward-look at regulatory requirements and clinical translations. This book offers a detailed reference for materials scientists, biomedical engineers, pharmaceutical scientists and geneticists interested in CNTs and nanomedicine.

    • Meta-Learning

      • 1st Edition
      • November 5, 2022
      • Lan Zou
      • English
      • Paperback
        9 7 8 0 3 2 3 8 9 9 3 1 4
      • eBook
        9 7 8 0 3 2 3 9 0 3 7 0 7
      Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI. Meta-Learning: Theory, Algorithms and Applications explains the fundamentals of meta-learning by providing answers to these questions: What is meta-learning?; why do we need meta-learning?; how are self-improved meta-learning mechanisms heading for AGI ?; how can we use meta-learning in our approach to specific scenarios? The book presents the background of seven mainstream paradigms: meta-learning, few-shot learning, deep learning, transfer learning, machine learning, probabilistic modeling, and Bayesian inference. It then explains important state-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese neural networks, matching networks, prototypical networks, relation networks, LSTM meta-learning, model-agnostic meta-learning, and the Reptile algorithm. The book takes a deep dive into nearly 200 state-of-the-art meta-learning algorithms from top tier conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICLR, KDD). It systematically investigates 39 categories of tasks from 11 real-world application fields: Computer Vision, Natural Language Processing, Meta-Reinforcement Learning, Healthcare, Finance and Economy, Construction Materials, Graphic Neural Networks, Program Synthesis, Smart City, Recommended Systems, and Climate Science. Each application field concludes by looking at future trends or by giving a summary of available resources. Meta-Learning: Theory, Algorithms and Applications is a great resource to understand the principles of meta-learning and to learn state-of-the-art meta-learning algorithms, giving the student, researcher and industry professional the ability to apply meta-learning for various novel applications.

    • Atmospheric Remote Sensing

      • 1st Edition
      • November 5, 2022
      • Abhay Kumar Singh + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 2 6 2 6
      • eBook
        9 7 8 0 3 2 3 9 9 2 6 3 3
      Atmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains. Furthermore, the book covers the basic concepts of satellite remote sensing of the atmosphere, followed by Ionospheric remote sensing tools like Global Positioning System (GPS) and Very Low Frequency (VLF) wave. Sections emphasize the applications of atmospheric remote study in Ionospheric perturbation, fire detection, aerosol characteristics over land, ocean and Himalayan regions. In addition, the application of atmospheric remote sensing in disaster management like dust storms, cyclones, smoke plume, aerosol-cloud interaction, and their impact on climate change are discussed. This book is a valuable reference for students, researchers and professionals working in atmospheric science, remote sensing, and related disciplines.

    • Aerial Robotic Workers

      • 1st Edition
      • November 5, 2022
      • George Nikolakopoulos + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 4 9 0 9 6
      • eBook
        9 7 8 0 1 2 8 1 4 9 1 0 2
      Aerial Robotic Workers: Design, Modeling, Control, Vision and Their Applications provides an in-depth look at both theory and practical applications surrounding the Aerial Robotic Worker (ARW). Emerging ARWs are fully autonomous flying robots that can assist human operations through their agile performance of aerial inspections and interaction with the surrounding infrastructure. This book addresses all the fundamental components of ARWs, starting with the hardware and software components and then addressing aspects of modeling, control, perception of the environment, and the concept of aerial manipulators, cooperative ARWs, and direct applications. The book includes sample codes and ROS-based tutorials, enabling the direct application of the chapters and real-life examples with platforms already existing in the market.

    • Magnetic Resonance Image Reconstruction

      • 1st Edition
      • Volume 7
      • November 4, 2022
      • Mehmet Akcakaya + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 7 2 6 8
      • eBook
        9 7 8 0 1 2 8 2 2 7 4 6 6
      Magnetic Resonance Image Reconstruction: Theory, Methods and Applications presents the fundamental concepts of MR image reconstruction, including its formulation as an inverse problem, as well as the most common models and optimization methods for reconstructing MR images. The book discusses approaches for specific applications such as non-Cartesian imaging, under sampled reconstruction, motion correction, dynamic imaging and quantitative MRI. This unique resource is suitable for physicists, engineers, technologists and clinicians with an interest in medical image reconstruction and MRI.

    • Plants and their Interaction to Environmental Pollution

      • 1st Edition
      • November 4, 2022
      • Azamal Husen
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 9 7 8 6
      • eBook
        9 7 8 0 3 2 3 9 8 3 0 9 9
      Environmental pollution as a consequence of diverse human activities has become a global concern. Urbanization, mining, industrial revolution, burning of fossil fuels/firewood and poor agricultural practices, in addition to improper dumping of waste products, are largely responsible for the undesirable change in the environment composition. Environmental pollution is mainly classified as air pollution, water pollution, land pollution, noise pollution, thermal pollution, light pollution, and plastic pollution. Nowadays, it has been realized that with the increasing environmental pollution, impurities may accumulate in plants, which are required for basic human uses such as for food, clothing, medicine, and so on. Environmental pollution has tremendous impacts on phenological events, structural patterns, physiological phenomena, biochemical status, and the cellular and molecular features of plants. Exposure to environmental pollution induces acute or chronic injury depending on the pollutant concentration, exposure duration, season and plant species. Moreover, the global rise of greenhouse gases such as carbon monoxide, carbon dioxide, nitrous oxides, methane, chlorofluorocarbons and ozone in the atmosphere is among the major threats to the biodiversity. They have also shown visible impacts on life cycles and distribution of various plant species. Anthropogenic activities, including the fossil-fuel combustion in particular, are responsible for steady increases in the atmospheric greenhouse gases concentrations. This phenomenon accelerates the global heating. Studies have suggested that the changes in carbon dioxide concentrations, rainfall and temperature have greatly influenced the plant physiological and metabolic activities including the formation of biologically active ingredients. Taken together, plants interact with pollutants, and cause adverse ecological and economic outcomes. Therefore, plant response to pollutants requires more investigation in terms of damage detection, adaptation, tolerance, and the physiological and molecular responses. The complex interplay among other emerging pollutants, namely, radioisotopes, cell-phone radiation, nanoparticles, nanocomposites, heavy metals etc. and their impact on plant adaptation strategies, and possibility to recover, mitigation, phytoremediation, etc., also needs to be explored. Further, it is necessary to elucidate better the process of the pollutant’s uptake by plant and accumulation in the food chain, and the plant resistance capability against the various kinds of environmental pollutants. In this context, the identification of tolerance mechanisms in plants against pollutants can help in developing eco-friendly technologies, which requires molecular approaches to increase plant tolerance to pollutants, such as plant transformation and genetic modifications. Pollutant-induced overproduction of reactive oxygen species that cause DNA damage and apoptosis-related alterations, has also been examined. They also trigger changes at the levels of transcriptome, proteome, and metabolome, which has been discussed in this book.

    • Data Analytics for Social Microblogging Platforms

      • 1st Edition
      • November 4, 2022
      • Soumi Dutta + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 7 8 5 8
      • eBook
        9 7 8 0 3 2 3 9 7 2 3 0 7
      Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data.

Related subjects

Astronomy astrophysics space science

Built environment

Chemical engineering

Chemistry

Computer science

Earth and planetary sciences

Energy and power

Engineering and technology

Environmental sciences

Materials science

Mathematics

Physics