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  • HPol Brandenburg  (14)
  • UdK Berlin  (11)
  • Wissenschaftspark Albert Einstein  (6)
  • DZA Berlin  (5)
  • SKB Bad Freienwalde
  • 2020-2024  (36)
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Years
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  • 1
    UID:
    almafu_BV046402120
    Format: 493 Seiten.
    Edition: Deutsche Erstausgabe ; 1. Auflage
    ISBN: 978-3-442-71887-0 , 3-442-71887-2
    Series Statement: btb 71887
    Uniform Title: Invisible women 2019
    Note: Hier auch später erschienene, unveränderte als Nachdruck behandelte Auflagen. - Literaturverzeichnis Seite 425-494
    Additional Edition: Erscheint auch als Online-Ausgabe Criado-Perez, Caroline Unsichtbare Frauen ISBN 978-3-64122-377-9
    Language: German
    Subjects: Computer Science , Sociology
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Frau ; Diskriminierung ; Big Data ; Datenerhebung ; Frau ; Ungleichheit ; Frau ; Diskriminierung ; Ausgrenzung ; Soziale Ungleichheit
    Author information: Criado-Perez, Caroline 1984-
    Author information: Singh, Stephanie 1975-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almahu_BV046402120
    Format: 493 Seiten.
    Edition: Deutsche Erstausgabe ; 1. Auflage
    ISBN: 978-3-442-71887-0 , 3-442-71887-2
    Series Statement: btb 71887
    Uniform Title: Invisible women 2019
    Note: Hier auch später erschienene, unveränderte als Nachdruck behandelte Auflagen. - Literaturverzeichnis Seite 425-494
    Additional Edition: Erscheint auch als Online-Ausgabe Criado-Perez, Caroline Unsichtbare Frauen ISBN 978-3-64122-377-9
    Language: German
    Subjects: Computer Science , Sociology
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Frau ; Diskriminierung ; Big Data ; Datenerhebung ; Frau ; Ungleichheit ; Frau ; Diskriminierung ; Ausgrenzung ; Soziale Ungleichheit
    Author information: Singh, Stephanie, 1975-
    Author information: Criado-Perez, Caroline 1984-
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  • 3
    UID:
    b3kat_BV046402120
    Format: 493 Seiten
    Edition: Deutsche Erstausgabe ; 1. Auflage
    ISBN: 9783442718870 , 3442718872
    Series Statement: btb 71887
    Uniform Title: Invisible women (2019)
    Note: Hier auch später erschienene, unveränderte als Nachdruck behandelte Auflagen , Literaturverzeichnis Seite 425-494
    Additional Edition: Erscheint auch als Online-Ausgabe Criado-Perez, Caroline Unsichtbare Frauen ISBN 978-3-64122-377-9
    Language: German
    Subjects: Computer Science , Sociology
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Frau ; Diskriminierung ; Big Data ; Datenerhebung ; Frau ; Ungleichheit ; Frau ; Diskriminierung ; Ausgrenzung ; Soziale Ungleichheit
    Author information: Criado-Perez, Caroline 1984-
    Author information: Singh, Stephanie 1975-
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  • 4
    UID:
    almahu_9949371284002882
    Format: 1 online resource (133 pages)
    ISBN: 981-16-5566-9
    Series Statement: SpringerBriefs in Public Health
    Content: This book discusses the historical context, country experience, and best practices that led to eliminating infectious diseases from the WHO’s South-East Asia Region, such as malaria, lymphatic filariasis, yaws, trachoma, and mother-to-child HIV in the mid-twentieth and twenty-first century. The UN Sustainable Development Goals (3.3) targets to end AIDS, tuberculosis, malaria, and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases by 2030. In this context, this book is of high significance to countries from the SEA region and around the globe. It helps create national strategies and action plans on infectious disease elimination and thus attaining SDG 3.3. This is an open access book.
    Note: A historic paradigm shift in communicable diseases in South-East Asia, from control to elimination / Poonam Khetrapal Singh -- Thailand, elimination of mother-to-child transmission of HIV and syphilis / Rangsima Lolekha, Usa Thisyakorn, and Mukta Sharma -- Yaws, freeing young children in India from an old scourge / Sujeet Singh, S.K. Jain, and Mohamed A. Jamsheed -- The Maldives, a long battle to banish malaria / Mohamed Hameed [and four others] -- Unburdening the poor, elimination of lymphatic filariasis in Maldives / Hasan Samir [and three others] -- Sri Lanka. long battle to eliminate malaria / Kamini Mendis and Risintha Premaratne -- Lymphatic filariasis elimination in Sri Lanka, overcoming the odds / Sandhya Dilhani Samarasekera and Razia Pendse -- Elimination of lymphatic filariasis in Thailand, a model for best practices / Suwich Thammapalo and Daniel Kertesz -- Trachoma elimination in Nepal, bringing light, preventing darkness / Mahendra P. Shrestha, Sailesh Kumar Mishra, and Jos Vandelaer -- Sri Lanka marches ahead and achieves elimination of mother-to-child transmission of HIV and syphilis / Lilani Rajapaksa, K.A.M. Ariyaratne, and B.B. Rewari -- Leveraging health system gains towards eliminating mother-to-child transmission (EMTCT) of HIV and syphilis, how Maldives became the second country in WHO South-East Asia Region to achieve this feat / Ibrahim Nishan Mohamed [and three others] -- Leprosy, accelerating towards a leprosy-free world / Vijaykumar Pannikar, Cita Rosita Sigit Prakoeswa, and Erwin Cooreman. , English
    Additional Edition: Print version: Singh, Poonam Khetrapal Elimination of Infectious Diseases from the South-East Asia Region Singapore : Springer Singapore Pte. Limited,c2022 ISBN 9789811655654
    Language: English
    Keywords: Llibres electrònics
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 5
    Online Resource
    Online Resource
    Milton Park, Abingdon, Oxon ; : Informa Law from Routledge,
    UID:
    almahu_9949464618602882
    Format: 1 online resource
    ISBN: 9781003299264 , 1003299261 , 9781000842562 , 1000842568 , 9781000842630 , 1000842630
    Content: "This book explores how cities are shaped by the lived experiences of inhabitants and examines the ways they develop strategies to cope with daily and unexpected challenges. It argues that migration, livelihood, and public health challenges result from inadequacies in the hard city--urban assets, such as land, infrastructure and housing, and asserts that these challenges and escalating vulnerabilities are best negotiated using the soft city--social capital and community networks. In so doing, the authors criticise a singular knowledge system and argue for a granular, nuanced understanding of cities-of the interrelations between people in places, everyday urbanisms, social relationships, cultural practices and histories. The volume presents perspectives from the Global South and the Global North, and engages with city-specific cases from Africa, India and Europe for a deeper understanding of resilience. Part of the Urban Futures series, it will be of great interest to students and researchers of urban studies, urban planning, urban management, architecture, urban sociology, urban design, ecology, conservation, and urban sustainability. It will also be useful for urbanists, architects, urban sociologists, city and town planners and those interested in a deeper understanding of the contemporary and future city"--
    Additional Edition: Print version: Negotiating resilience with hard and soft city Milton Park, Abingdon, Oxon ; New York, NY : Informa Law from Routledge, 2023 ISBN 9781032289434
    Language: English
    Keywords: Electronic books.
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  • 6
    UID:
    almahu_9949707961202882
    Format: 1 online resource (771 pages)
    Edition: 1st ed.
    ISBN: 9789464633047
    Series Statement: Atlantis Highlights in Computer Sciences Series ; v.17
    Additional Edition: Print version: Chen, Charles Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023) Dordrecht : Atlantis Press (Zeger Karssen),c2024 ISBN 9789464633030
    Language: English
    Keywords: Electronic books. ; Electronic books.
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  • 7
    UID:
    almahu_BV046947495
    Format: 171 Seiten : , Illustrationen.
    ISBN: 978-1-912685-79-0
    Series Statement: Sonics series
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 9781912685806
    Language: English
    Subjects: Musicology
    RVK:
    Keywords: Musik ; Schwarze ; Musikethnologie
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  • 8
    Book
    Book
    Durham ; London : Duke University Press
    UID:
    b3kat_BV048225863
    Format: xiv, 263 Seiten , Illustrationen
    ISBN: 9781478015253 , 9781478017875
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-4780-2249-7
    Language: English
    Subjects: General works
    RVK:
    Keywords: Massenmedien ; Feminismus ; Massenmedien ; Technologie ; Randgruppe ; Alltag ; McLuhan, Marshall 1911-1980 ; Aufsatzsammlung ; Aufsatzsammlung
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    Online Resource
    Online Resource
    Berlin/Boston : Walter de Gruyter GmbH
    UID:
    gbv_1851469079
    Format: 1 online resource (230 pages)
    Edition: 1st ed.
    ISBN: 9783110628616
    Series Statement: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences Ser. v.1
    Content: Intro -- Preface -- Contents -- About the editors -- List of contributors -- 1 Application of neural network to detect freezing of gait in patients with Parkinson's disease -- 2 A new fuzzy de novo programming approach for optimal system design -- 3 A probabilistic two-level programming in noncooperative game under fuzzy environment: comparative study -- 4 Intuitionistic fuzzy trigonometric distance and similarity measure and their properties -- 5 Distributed Activation Energy Modeling by the transmutation of different density functions -- 6 Air quality forecasting using soft computing techniques -- 7 Arithmetic operations on generalized semielliptic intuitionistic fuzzy numbers and their application in multicriteria decision making -- 8 Method for solving intuitionistic fuzzy assignment problem -- 9 Optimization of EDM process through evolutionary computing and fuzzy MCDM techniques -- 10 Fuzzy reliability of system using different types of bifuzzy failure rates of components -- Index.
    Note: Description based on publisher supplied metadata and other sources
    Language: English
    URL: Cover
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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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