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    • Solid State Physics

      • 1st Edition
      • Volume 71
      • November 12, 2020
      • Robert L. Stamps
      • English
      • Hardback
        9 7 8 0 1 2 8 2 2 0 2 3 8
      • eBook
        9 7 8 0 1 2 8 2 2 0 2 4 5
      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.

    • Handbook of Deep Learning in Biomedical Engineering

      • 1st Edition
      • November 12, 2020
      • Valentina Emilia Balas + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 0 1 4 5
      • eBook
        9 7 8 0 1 2 8 2 3 0 4 7 3
      Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of Deep Learning and its applications in the field of Biomedical Engineering. Deep learning has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. Deep Learning provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and AI techniques such as Deep Learning and Convolutional Neural Networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use Deep Learning include: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of Deep Learning applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer’s, ADHD, and ASD, tumor prediction, as well as translational multimodal imaging analysis.

    • Trends in Deep Learning Methodologies

      • 1st Edition
      • November 12, 2020
      • Vincenzo Piuri + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 2 2 6 3
      • eBook
        9 7 8 0 1 2 8 2 3 2 6 8 2
      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.

    • Protocols in Biochemistry and Clinical Biochemistry

      • 1st Edition
      • November 12, 2020
      • Shweta Pandey + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 0 0 7 8
      • eBook
        9 7 8 0 1 2 8 2 2 0 0 8 5
      Protocols in Biochemistry and Clinical Biochemistry offers clear, applied instruction to fundamental biochemistry methods and protocols, from buffer preparation to nucleic acid purification, protein, lipid, carbohydrate, and enzyme testing, and clinical testing of vitamins, glucose and cholesterol levels, among other diagnostics. Each protocol is illustrated with step-by-step instructions, labeled diagrams, and color images, as well as a thorough overview of materials and equipment, precursor techniques, safety considerations and standards, analysis and statistics, alternative methods and troubleshooting.

    • Nutraceuticals in Brain Health and Beyond

      • 1st Edition
      • November 12, 2020
      • Dilip Ghosh
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 5 9 3 8
      • eBook
        9 7 8 0 1 2 8 2 0 6 1 0 2
      Nutraceuticals in Brain Health and Beyond focuses on a variety of health disorders where intervention with nutritional supplements prove valuable, such as Alzheimer’s, Parkinson’s, autism, and attention-deficit disorder in children. In addition, Nutraceuticals in Brain Health and Beyond addresses "herb-nutra psychiatry" which is a field of research focused on developing a comprehensive, cohesive, and scientifically rigorous evidence base to shift conceptual thinking around the role of diet and nutrition in mental health.Intended for nutrition researchers, nutritionists, dieticians, regulatory bodies, health professionals, and students studying related fields, Nutraceuticals in Brain Health and Beyond will be a useful reference in understanding the links between nutrition and brain health.

    • Food Toxicology and Forensics

      • 1st Edition
      • November 11, 2020
      • Charis M. Galanakis
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 3 6 0 4
      • eBook
        9 7 8 0 1 2 8 2 2 3 6 1 1
      Food Toxicology and Forensics presents an overview on these subjects, along with the analytical tools necessary to handle the complexity of the issues at play between them. The book discusses the presence of foreign substances in food despite forensic analysis and supports the scientific community, laboratories and regulatory bodies in their aim to identify food fraud. Topics include the forensic attribution profiling of food by liquid chromatography (LC), contemporary mass spectrometry (MS), tandem mass spectrometry (MS/MS) and liquid chromatography coupled to mass spectrometry (LC-MS), the application of ambient ionization mass spectrometry (AIMS) techniques for the analysis of food samples, and more.

    • A Guide to Econometric Methods for the Energy-Growth Nexus

      • 1st Edition
      • November 10, 2020
      • Angeliki Menegaki
      • English
      • Paperback
        9 7 8 0 1 2 8 1 9 0 3 9 5
      • eBook
        9 7 8 0 1 2 8 1 9 0 4 0 1
      A Guide to Econometric Methods for the Energy-Growth Nexus presents, explains and compares all the available econometrics methods pertinent to the energy-growth nexus. Chapters cover methods and applications, starting with older econometric methods and moving toward new ones. Each chapter presents the method and facts about its applications, providing step-by-step explanations about the ways the method meets the demands of the field. In addition, applied case studies and practical research steps are included to enhance the learning process. By touching on all relevant econometric methods for the energy-growth nexus, this book gives energy-growth researchers and students all they need to tackle the subject matter.

    • Wearable Sensors

      • 2nd Edition
      • November 10, 2020
      • Edward Sazonov
      • English
      • Hardback
        9 7 8 0 1 2 8 1 9 2 4 6 7
      • eBook
        9 7 8 0 1 2 8 1 9 2 4 7 4
      Wearable Sensors: Fundamentals, Implementation and Applications has been written by a collection of experts in their field, who each provide you with an understanding of how to design and work with wearable sensors. Together these insights provide the first single source of information on wearable sensors that would be a fantastic addition to the library of any engineers working in this field. Wearable Sensors covers a wide variety of topics associated with development and applications of wearable sensors. It also provides an overview and a coherent summary of many aspects of wearable sensor technology. Both professionals in industries and academic researchers need this package of information in order to learn the overview and each specific technology at the same time. This book includes the most current knowledge on the advancement of light-weight hardware, energy harvesting, signal processing, and wireless communications and networks. Practical problems with smart fabrics, biomonitoring and health informatics are all addressed, plus end user centric design, ethical and safety issues. The new edition is completely reviewed by key figures in the field, who offer authoritative and comprehensive information on the various topics. A new feature for the second edition is the incorporation of key background information on topics to allow the less advanced user access to the field and to make the title more of an auto-didactic book for undergraduates.

    • Strategy, Leadership, and AI in the Cyber Ecosystem

      • 1st Edition
      • November 10, 2020
      • Hamid Jahankhani + 4 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 1 4 4 2 8
      • eBook
        9 7 8 0 1 2 8 2 1 4 5 9 6
      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.

    • Steviol Glycosides

      • 1st Edition
      • November 10, 2020
      • Charis M. Galanakis
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 0 6 0 5
      • eBook
        9 7 8 0 1 2 8 2 0 4 0 1 6
      Steviol Glycosides: Production, Properties, and Applications illustrates the health effects of steviol glycosides, presenting methods to preserve their stability, bioactivity and bioavailability during handling, extraction and processing. Beginning with biosynthesis, metabolism and health uses, the book also explores agronomic practices, toxicology and pharmacology, leaf drying, conventional techniques, non-thermal technologies, green recovery, membrane clarification technologies, chemical and enzymatic modifications, stability studies and food applications. This book is an excellent resource for food scientists, technologists, engineers, chemists, nutritionists, new product developers, researchers and academics with an interest in understanding steviol glycoside applications in the development of functional foods, nutraceuticals and pharmaceuticals.

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