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Elsevier

Academic Press

  • Deep Learning for Sustainable Agriculture

    • 1st Edition
    • Ramesh Chandra Poonia + 2 more
    • English
    The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm.

  • Food Systems Modelling

    Tools for Assessing Sustainability in Food and Agriculture
    • 1st Edition
    • Christian J. Peters + 1 more
    • English
    Food Systems Modelling emphasizes sustainability, including the impact of agriculture and food production on profits, people and environment, with a particular focus on the ability of humanity to continue producing food in the midst of global environmental change. Sections introduce the purpose of models, the definition of a food system, the importance of disciplinary, interdisciplinary, and transdisciplinary inquiry, cover specific branches of modeling in the sustainability of food systems, and wrestle with the challenge of communicating modeling research and appropriately integrating multiple dimensions of sustainability. This book will be a welcomed reference for food scientists, agricultural scientists, nutritionists, environmental scientists, ecologists, economists, those working in agribusiness and food supply chain management, community and public health, and urban and regional planning, as well as academicians and graduate students interested in the sustainability of food systems.

  • Novel Concepts in iPSC Disease Modeling

    • 1st Edition
    • Volume 15
    • Alexander Birbrair
    • English
    The series Advances in Stem Cell Biology is a timely and expansive collection of comprehensive information and new discoveries in the field of stem cell biology. iPSCs - Novel Concepts, Volume 15 addresses how important induced pluripotent stems cells are and how can they can help treat certain diseases. Somatic cells can be reprogrammed into induced pluripotent stem cells by the expression of specific transcription factors. These cells have been transforming biomedical research over the last 15 years. This volume will address the advances in research of how induced pluripotent stem cells are being used for treatment of different disorders, such as liver disease, type-1 diabetes, Parkinson’s disease, macular degeneration of the retina and much more. The volume is written for researchers and scientists in stem cell therapy, cell biology, regenerative medicine and organ transplantation; and is contributed by world-renowned authors in the field.

  • Body, Brain, Behavior

    Three Views and a Conversation
    • 1st Edition
    • Tamas L. Horvath + 2 more
    • English
    Body, Brain, Behavior: Three Views and a Conversation describes brain research on the frontiers, with a particular emphasis on the relationship between the brain　and its development and evolution, peripheral organs, and other brains in communication. The book expands current views of neuroscience by illustrating the integration of these disciplines. By using a novel method of conversations between 3 scientists of different disciplines, cellular, endocrine, developmental, and social processes are seamlessly woven into topics that relate to　contemporary　livi... in health and disease. This book is a critical read for anyone who wants to become familiar with the inner workings of the nervous system and its intimate connections to the universe of contemporary life issues.

  • Deep Learning in Bioinformatics

    Techniques and Applications in Practice
    • 1st Edition
    • Habib Izadkhah
    • English
    Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction, and in systems biology. The book also presents theoretical and practical successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies.

  • Anomaly Detection and Complex Event Processing Over IoT Data Streams

    With Application to eHealth and Patient Data Monitoring
    • 1st Edition
    • Patrick Schneider + 1 more
    • English
    Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented –the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing.

  • Public Finance

    A Normative Theory
    • 4th Edition
    • Richard W. Tresch
    • English
    Public Finance: A Normative Theory, Fourth Edition provides a classic text on the normative theory of government policy. This valuable and accessible resource covers the welfare aspects of public economics, with considerable coverage of European examples. The work presents detailed and comprehensive coverage of theoretical literature, empirical work, environmental issues, social insurance, behavioral economics and international tax issues. The book is organized logically, written in an engaging manner, and is both sufficiently rigid for use by those with PhDs in math and accessible to students less well trained in math.

  • Optimum-Path Forest

    Theory, Algorithms, and Applications
    • 1st Edition
    • Alexandre Xavier Falcao + 1 more
    • English
    The Optimum-Path Forest (OPF) classifier was first published in 2008 in its supervised and unsupervised versions with applications in medicine and image classification. Since then, it has expanded to a variety of other applications such as remote sensing, electrical and petroleum engineering, and biology. In recent years, multi-label and semi-supervised versions were also developed to handle video classification problems. The book presents the principles, algorithms and applications of Optimum-Path Forest, giving the theory and state-of-the-art as well as insights into future directions.

  • Translational Autoimmunity, Volume 2

    Treatment of Autoimmune Diseases
    • 1st Edition
    • Nima Rezaei
    • English
    Translational Autoimmunity: Treatment of Autoimmune Diseases, Volume Two in the Translational Immunology series, focuses on advances in therapeutic modalities in autoimmune diseases. Efficacy and safety of not only the current biologic therapies, but also novel drug targets are discussed. Therapeutic targeting of B regulatory cells, T regulatory cells, as well as the immunomodulation effects of nanoparticles and organisms are also covered, along with our understanding and future challenges of prognostic significance of treatments in autoimmune diseases.

  • Stereotaxic Brain Atlas of the Egyptian Fruit Bat

    • 1st Edition
    • Raya Eilam-Altstadter + 3 more
    • English
    The Stereotaxic Brain Atlas of the Egyptian Fruit Bat provides the first stereotaxic atlas of the brain of the Egyptian fruit bat (Rousettus aegyptiacus), an emerging model in neuroscience. This atlas contains coronal brain sections stained with cresyl violet (Nissl), AChE, and Parvalbumin – all stereotaxically calibrated. It will serve the needs of any neuroscientist who wishes to work with these bats – allowing to precisely target specific brain areas for electrophysiology, optogenetics, pharmacology, and lesioning. More broadly, this atlas will be useful to all neuroscientists working with bats, as it delineates many brain regions that were not delineated so far in any bat species. Finally, this atlas will provide a useful resource for researchers interested in comparative neuroanatomy of the mammalian brain.

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