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  • 2020-2024  (37)
  • Electronic books  (23)
  • Nachhaltigkeit  (14)
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  • 1
    UID:
    b3kat_BV046747220
    Format: 1 Online-Ressource (XXV, 450 p. 124 illus., 21 illus. in color) , 124 Illustrationen, 21 Illustrationen (farbig)
    ISBN: 9789811530050
    Series Statement: Approaches to Global Sustainability, Markets, and Governance
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-153-004-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-153-006-7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-153-007-4
    Language: English
    Subjects: Economics , General works
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    Keywords: Verbraucherverhalten ; Nachhaltigkeit ; Kaufverhalten ; Soziale Verantwortung ; Umweltverträgliches Produkt
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    UID:
    b3kat_BV047922968
    Format: 1 Online-Ressource (244 Seiten)
    ISBN: 9783839455142
    Series Statement: Edition Museum volume 52
    Content: While the nation-state gave rise to the advent of museums, its influence in times of transculturality and post-/decolonial studies appears to have vanished. But is this really the case? With case studies from various geo- and sociopolitical contexts from around the globe, the contributors investigate which role the nation-state continues to play in museums, collections, and heritage. They answer the question to which degree the nation-state still determines practices of collection and circulation and its amount of power to shape contemporary narratives. The volume thus examines the contradictions at play when the necessary claim for transculturality meets the institutions of the nation-state
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-8376-5514-8
    Language: English
    Subjects: Ethnology
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    Keywords: Museum ; Nationalstaat ; Sammlung ; Interkulturalität ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Electronic books
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Cover
    Author information: Samuel, Nina
    Author information: Leeb, Susanne
    Author information: Ginwala, Natasha 1985-
    Author information: Kahlon, Rajkamal 1974-
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  • 3
    UID:
    b3kat_BV046325274
    Format: 1 Online-Ressource (XII, 167 Seiten) , Diagramme, Illustrationen, Pläne
    Edition: [1st ed. 2020]
    ISBN: 9783030333232
    Series Statement: Research for Development
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-33322-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-33324-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-33325-6
    Language: English
    Subjects: Economics , Geography
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    Keywords: Afrika ; Schwellenländer ; Erneuerbare Energien ; Stadtplanung ; Nachhaltigkeit
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Author information: Rossi, Corinna
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  • 4
    Online Resource
    Online Resource
    United Kingdom ; North America ; Japan ; India ; Malaysia ; China ; Bingley, UK : Emerald Publishing
    UID:
    b3kat_BV047310661
    Format: 1 Online-Ressource (xvi, 262 Seiten) , Illustrationen, Diagramme
    Edition: First edition
    ISBN: 9781800712447 , 9781800712461
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-80071-245-4
    Language: English
    Subjects: Economics
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    Keywords: Marketingmanagement ; Nachhaltigkeit ; Corporate Social Responsibility
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
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  • 5
    Online Resource
    Online Resource
    London ; New York : Routledge, Taylor & Francis Group | Mobile Creches
    UID:
    b3kat_BV046853717
    Format: 1 Online-Ressource (xxxii, 300 Seiten) , Diagramme
    ISBN: 9781003026488 , 9780367460181 , 9781000054910 , 0367460181 , 1000054918 , 1003026486
    Additional Edition: Erscheint auch als Druck-Ausgabe, hardback ISBN 978-0-367-46018-1
    Language: English
    Keywords: Electronic books
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 6
    UID:
    b3kat_BV046283423
    Format: 1 Online-Ressource (xx, 293 Seiten) , Illustrationen, Diagramme, Karten (teilweise farbig)
    ISBN: 9789813295957
    Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-981-32-9594-0
    Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-981-32-9597-1
    Language: English
    Subjects: Geography , General works
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    Keywords: Klimaänderung ; Nachhaltigkeit ; Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Springer
    UID:
    b3kat_BV048307951
    Format: 1 Online-Ressource (X, 299 p. 91 illus., 81 illus. in color)
    Edition: 1st ed. 2022
    ISBN: 9789811920837
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1920-82-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1920-84-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1920-85-1
    Language: English
    Subjects: Computer Science , Engineering , General works
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    Keywords: Umwelt ; Ökologie ; Naturkatastrophe ; Katastrophenmanagement ; Datentechnik ; Informationstechnik ; Nachhaltigkeit ; Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Biswas, Arindam 1984-
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  • 8
    UID:
    b3kat_BV046974899
    Format: 1 Online-Ressource (xv, 483 Seiten) , Illustrationen, Diagramme, Karten
    ISBN: 9789811549564
    Series Statement: Advances in geographical and environmental sciences
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-154-955-7
    Language: English
    Keywords: Physische Geografie ; Geologie ; Umweltschutz ; Nachhaltigkeit ; Tourismus ; Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 9
    Online Resource
    Online Resource
    [London, England] : Bloomsury Academic | [London, England] : Bloomsbury Publishing
    UID:
    gbv_170041237X
    Format: 1 Online-Ressource (272 pages)
    Edition: First edition
    Edition: Also published in print
    ISBN: 1350139874 , 9781350139909 , 9781350139886 , 9781350139879
    Content: "Sukhmani (The Pearl of Happiness) is a popular Sikh text by Guru Arjan, which inculcates the Sikh religious ethos and philosophical perspective on wellbeing and happiness. The book features a new translation of this celebrated Sikh text and provides the first in-depth analysis of it. The Sikh View on Happiness begins with an overview of the nature of suffering and the attainment of happiness in Indian religions. This provides the foundation for the examination of the historical, social, and religious context of the Sukhmani and its contribution to the development of the Sikh tradition. In addition to exploring the spiritual teachings of the Sukhmani , Nayar and Sandhu draw upon the Sikh understanding of the mind, illness, and wellbeing to both introduce key Sikh psychological concepts and illustrate the practical application of traditional healing practices in the contemporary context. In doing so, they highlight the overlap of the teachings in the Sukhmani with concepts and themes found in Western psychotherapy, such as mindfulness, meaningful living, and resilience."--
    Content: Illustrations -- Preface -- Acknowledgements -- Note on Translation -- Chapter 1 The Pursuit of Happiness in Indic Religions: Introduction -- Chapter 2 Guru Arjan's Life, Work and Martyrdom -- Chapter 3 The Ritual Function of the Sukhmani -- Chapter 4 The Sukhmani : Teachings and Practice -- Chapter 5 A Path towards Meaningful Living -- Chapter 6 Understanding the Sukhmani : Summary and Conclusions -- Translation -- The Sukhmani : The Pearl of Happiness -- Notes -- Appendix 1 -- Summary of the Four Watches of the Day ( Astapadis 1-12) -- Appendix II -- Summary of the Four Watches of the Night ( Astapadis 13-24) -- Glossary -- References -- Index
    Note: Includes bibliographical references and index , Also published in print. , Mode of access: World Wide Web.
    Additional Edition: ISBN 1
    Additional Edition: Erscheint auch als Druck-Ausgabe The Sikh view on happiness London : Bloomsbury Academic, 2021 ISBN 9781350266933
    Additional Edition: ISBN 9781350139879
    Language: English
    Keywords: Arjan V. Guru 1563-1606 Sukhmani ; Sikhismus ; Glück ; Electronic books
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  • 10
    UID:
    kobvindex_GFZBV047135703
    Format: 1 Online-Ressource (xiv, 204 Seiten) , Illustrationen, Diagramme, Karten
    ISBN: 9783030647773 , 978-3-030-64777-3
    ISSN: 0921-092X , 1872-4663
    Series Statement: Water science and technology library volume 99
    Content: This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.
    Note: Contents 1 Introduction 1.1 What is Deep Learning? 1.2 Pros and Cons of Deep Learning 1.3 Recent Applications of Deep Learning in Hydrometeorological and Environmental Studies 1.4 Organization of Chapters 1.5 Summary and Conclusion References 2 Mathematical Background 2.1 Linear Regression Model 2.1.1 Simple Linear Regression 2.1.2 Multiple Linear Regression 2.2 Time Series Model 2.2.1 Autoregressive Model (AR) 2.3 Probability Distributions 2.3.1 Normal Distributions 2.3.2 Gamma Distribution 2.4 Exercises References 3 Data Preprocessing 3.1 Normalization 3.2 Data Splitting for Training and Testing 3.3 Exercises 4 Neural Network 4.1 Terminology in Neural Network 4.1.1 Components of Neural Network 4.1.2 Activation Functions 4.1.3 Error and Loss Function 4.1.4 Softmax and One-Hot Encoding 4.2 Artificial Neural Network 4.2.1 Simplest Network 4.2.2 Feedforward and Backward Propagation 4.2.3 Network with Multiple Input and Output Variables 4.2.4 Python Coding of the Simple Network 4.3 Exercises 5 Training a Neural Network 5.1 Initialization 5.2 Gradient Descent 5.3 Backpropagation 5.3.1 Simple Network 5.3.2 Full Neural Network 5.3.3 Python Coding of Network 5.4 Exercises Reference 6 Updating Weights 6.1 Momentum 6.2 Adagrad 6.3 RMSprop 6.4 Adam 6.5 Nadam 6.6 Python Coding of Updating Weights 6.7 Exercises References 7 Improving Model Performance 7.1 Batching and Minibatch 7.2 Validation 7.2.1 Python Coding of K-Fold Cross-Validation 7.3 Regularization 7.3.1 L-Norm Regularization 7.3.2 Dropout 7.3.3 Python Coding of Regularization 7.4 Exercises Reference 8 Advanced Neural Network Algorithms 8.1 Extreme Learning Machine (ELM) 8.1.1 Basic ELM 8.1.2 Generalized ELM 8.1.3 Python Coding 8.2 Autoencoder 8.2.1 Vanilla Autoencoder 8.2.2 Regularized Autoencoder 8.2.3 Python Coding of Regularized AE 8.3 Exercises Reference 9 Deep Learning for Time Series 9.1 Recurrent Neural Network 9.1.1 Backpropagation 9.1.2 Backpropagation Through Time (BPTT) 9.2 Long Short-Term Memory (LSTM) 9.2.1 Basics of LSTM 9.2.2 Example of LSTM 9.2.3 Backpropagation of a Simple LSTM 9.2.4 Backpropagation Through Time (BPTT) 9.3 Gated Recurrent Unit (GRU) 9.3.1 Basics of GRU 9.3.2 Example of GRU 9.3.3 Backpropagation of a Simple GRU Model 9.4 Exercises References 10 Deep Learning for Spatial Datasets 10.1 Convolutional Neural Network (CNN) 10.1.1 Definition of Convolution 10.1.2 Elements of CNN 10.2 Backpropagation of CNN 10.3 Exercises 11 Tensorflow and Keras Programming for Deep Learning 11.1 Basic Keras Modeling 11.2 Temporal Deep Learning (LSTM and GRU) 11.3 Spatial Deep Learning (CNN) 11.4 Exercises References 12 Hydrometeorological Applications of Deep Learning 12.1 Stochastic Simulation with LSTM 12.1.1 Mathematical Description for Stochastic Simulation with LSTM 12.1.2 Colorado Monthly Streamflow 12.1.3 Results of Colorado River 12.1.4 Python Coding 12.1.5 Matlab Coding 12.2 Forecasting Daily Temperature with LSTM 12.2.1 Preparing the Data 12.2.2 Methodology 12.2.3 Results 12.2.4 Python Coding 12.3 Exercises References 13 Environmental Applications of Deep Learning 13.1 Remote Sensing of Water Quality Using CNN 13.1.1 Introduction 13.1.2 Study Area and Monitoring 13.1.3 Field Data Collection 13.1.4 Point-Centered Regression CNN (PRCNN) 13.1.5 Results and Discussion 13.1.6 Conclusion 13.1.7 Python Coding References
    In: Water science and technology library, volume 99
    Language: English
    Keywords: Electronic books
    Author information: Singh, Vijay P. 1946-
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