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  • UdK Berlin  (8)
  • Wissenschaftspark Albert Einstein  (6)
  • SB Fürstenwalde  (1)
  • 2020-2024  (15)
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  • 1
    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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  • 2
    UID:
    b3kat_BV046947495
    Format: 171 Seiten , Illustrationen
    ISBN: 9781912685790
    Series Statement: Sonics series
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 9781912685806
    Language: English
    Subjects: Musicology
    RVK:
    Keywords: Musik ; Schwarze ; Musikethnologie ; Geschichte 2000-2015
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  • 3
    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
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  • 4
    UID:
    kobvindex_VBRD-i97834427188700494
    Format: 494 Seiten
    Edition: 1. Auflage, deutsche Erstausgabe
    ISBN: 9783442718870
    Uniform Title: Invisible women
    Content: Unsere Welt ist von Männern für Männer gemacht und tendiert dazu, die Hälfte der Bevölkerung zu ignorieren. Caroline Criado-Perez erklärt, wie dieses System funktioniert. Sie legt die geschlechtsspezifischen Unterschiede bei der Erhebung wissenschaftlicher Daten offen. Die so entstandene Wissenslücke liegt der kontinuierlichen und systematischen Diskriminierung von Frauen zugrunde und erzeugt eine unsichtbare Verzerrung, die sich stark auf das Leben von Frauen auswirkt. Kraftvoll und provokant plädiert Criado-Perez für einen Wandel dieses Systems und lässt uns die Welt mit neuen Augen sehen.
    Language: German
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  • 5
    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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  • 6
    UID:
    kobvindex_GFZ1753065232
    Format: 1 Online-Ressource (xvi, 551 Seiten) , Illustrationen
    ISBN: 9783030642020 , 978-3-030-64202-0
    ISSN: 0921-092X , 1872-4663
    Series Statement: Water science and technology library Volume 98
    Content: This book provides insights and a capacity to understand the climate change phenomenon, its impact on water resources, and possible remedial measures. The impact of climate change on water resources is a global issue and cause for concern. Water resources in many countries are extremely stressed, and climate change along with burgeoning populations, the rise in living standards, and increasing demand on resources are factors which serve to exacerbate this stress. The chapters provide information on tools that will be useful to mitigate the adverse consequences of natural disasters. Fundamental to addressing these issues is hydrological modelling which is discussed in this book and ways to combat climate change as an important aspect of water resource management.
    Note: Contents 1 Trend Analyses of Seasonal Mean Temperature Series Pertaining to the Tapi River Basin Using Monthly Data / Ganesh D. Kale 2 Dry Spell and Wet Spell Characterisation of Nandani River Basin, Western Maharashtra, India / Abhijit Mohanrao Zende and Prashant Basavaraj Bhagawati 3 Assessment of Climate Change on Crop Water Requirement in Tandula Command of Chhattisgarh (India) / Rahul Kumar Jaiswal, H. L. Tiwari, and Anil Kumar Lohani 4 Impact of Climate Change on Hydrological Regime of Narmada River Basin / Deepak Kumar Tiwari, H. L. Tiwari, Raman Nateriya, and Satanand Mishra 5 Climate Change Impacts on Water Resources in Ethiopia / Abiot Ketema and G. S. Dwarakish 6 Spatio-Temporal Trend Analysis of Long-Term IMD-Gridded Precipitation in Godavari River Basin, India / C. H. Praveenkumar and V. Jothiprakash 7 Forecasting Reference Evapotranspiration Using Artificial Neural Network for Nagpur Region / Nikhil Band, Aniruddha Ghare, and Avinash Vasudeo 8 Time-Varying Downscaling Model (TVDM) and its Benefit to Capture Extreme Rainfall / Subbarao Pichuka and Rajib Maity 9 An Assessment of Impact of Land Use–Land Cover and Climate Change on Quality of River Using Water Quality Index / Manisha Jamgade and Shrikant Charhate 10 Assessment of Tail Behavior of Probability Distributions of Daily Precipitation Data Over India / Neha Gupta and Sagar Rohidas Chavan 11 Benefit of Time-Varying Models Developed Using Graphical Modeling Approach for Probabilistic Prediction of Monthly Streamflow / Riya Dutta and Rajib Maity 12 Determination of Effective Discharge Responsible for Sediment Transport in Cauvery River Basin / Shobhit Maheshwari and Sagar Rohidas Chavan 13 A Comparative Study of Potential Evapotranspiration in an Agroforestry Region of Western Ghats, India / Pandu Narayana and K. Varija 14 Influence of Air Temperature on Local Precipitation Extremes Across India / Sachidanand Kumar, Kironmala Chanda, and Srinivas Pasupuleti 15 Effect of Spatial and Temporal Land Use-Land Cover Change on the Rainfall Trend: A Case Study in Kerala / Lini R. Chandran and P. G. Jairaj 16 Innovations and Application of Operational Ocean Data Products for Security of Marine Environment / Madhulika Sinha and Shrikant Charhate 17 Statistical Downscaling of Sea Level by Support Vector Machine and Regression Tree Approaches / S. Sithara, S. K. Pramada, and Santosh G. Thampi 18 Assessing the Impacts of Climate Change on Crop Yield in Upper Godavari River Sub-basin Using H08 Hydrological Model / Pushpendra Raghav and T. I. Eldho 19 Evaluation of Time Discretization of Daily Rainfall From the Literature for a Specific Site / R. Harshanth, Saha Dauji, and P. K. Srivastava 20 Quality Checks on Continuous Rainfall Records: A Case Study / R. Harshanth, Saha Dauji, and P. K. Srivastava 21 Assuring Water Intake Sustainability Under Changing Climate / Gaurav Talukdar and Arup Kumar Sarma 22 Characteristics of Gldas Evapotranspiration and Its Response to Climate Variability Across Ganga Basin, India / Lalit Pal, C. S. P. Ojha, and Amit Kumar 23 Seasonal and Inter-Annual Variability of Sea Surface Temperature and Its Correlation with Maximum Sustained Wind Speed in Bay of Bengal / Jiya Albert and Prasad K. Bhaskaran 24 Comparison of CMIP5 Wind Speed from Global Climate Models with In-Situ Observations for the Bay of Bengal / Athira Krishnan and Prasad K. Bhaskaran 25 Trend Analysis of Temperature for Eastern Ganga Canal Command / Radha Krishan, Bhaskar R. Nikam, and Deepak Khare 26 Analysis of Long-Term Rainfall Trends in Rajasthan, India / Darshan Mehta and S. M. Yadav 27 Statistical Downscaling of GCM Output and Simulation of Rainfall Scenarios for Brahmani Basin / Lasyamayee Lopamudra Sahoo and Kanhu Charan Patra 28 Impact of Land Use–Land Cover Changes on the Streamflow of the Kolab River Basin Using SWAT Model / Partha Sarathi Bhunia and Kanhu Charan Patra 29 Statistical Downscaling of Climatic Variables in Indo-Gangatic Alluvial Plain / Prabhakar Shukla and Raj Mohan Singh 30 Comparing Global High-Resolution Precipitation Data with Rain Gauge Data in Assam, India / Pulendra Dutta, Dipsikha Devi, and Arup Kr. Sarma 31 Variability of Rainfall, Temperature and Potential Evapotranspiration at Annual Time Scale Over Tapi to Tadri River Basin, India / Prem Mahyavanshi, V. D. Loliyana, and Priyank J. Sharma 32 Climate Change and Water Resources: Emerging Challenges, Vulnerability and Adaptation in Indian Scenario / Y. Shiva Shankar, Abhishek Kumar, and Devendra Mohan 33 Observed Spatio-Temporal Trends of Precipitation and Temperature Over Afghanistan / S. Rehana, P. Krishna Reddy, N. Sai Bhaskar Reddy, Abdul Raheem Daud, Shoaib Saboory, Shoaib Khaksari, S. K. Tomer, and U. Sowjanya 34 Identification of Historical Shift, Dispersion, and Trend of the Monsoon Season for Guwahati City Using Fuzzy Segmentation and Trend Analyses / Amrutha Suresh and Pekkat Sreeja 35 Analysis of Intensity–Duration– Frequency and Depth–Duration– Frequency Curve Projections Under Climate Variability / Manish Kumar Sinha, Klaus Baier, Rafig Azzam, M. K. Verma, and Ramakar Jha 36 Changes in Monthly Hydro-Climatic Indices for Middle Tapi Basin, India / Priyank J. Sharma, P. L. Patel, and V. Jothiprakash 37 Multiobjective Automatic Calibration of a Physically Based Hydrologic Model Using Multiobjective Self-Adaptive Differential Evolution Algorithm / Saswata Nandi and M. Janga Reddy 38 Adaptive Neuro-Fuzzy Inference System-Based Yield Forecast Using Climatic Variables / Kalpesh Borse and P. G. Agnihotri 39 Impact of Climate Change on Hydrological Parameters / Arunima Priyadarsini Patnaik and Bandita Naik 40 Morphometric Analysis of Kosi River Basin, Bihar, India Using Remote Sensing and GIS Techniques / Niraj Kumar and Ramakar Jha 41 Simulation of Impact of Climate Change on the Performance of a Reservoir System in Eastern India / Satabdi Saha, Debasri Roy, and Rajib Das 42 Assessing the Impact of Spatial Resolution on Land Surface Model Based on Hydrologic Simulations / Aiendrila Dey and Renji Remesan 43 Infilling Missing Monthly Maximum and Minimum Temperature Dataset by EM Algorithm Followed by Distribution Based Statistical Assessment Using Eight Absolute Homogeneity Tests / P. Kabbilawsh, D. Sathish Kumar, and N. R. Chithra 44 Multisite Monthly to Daily Naturalised Streamflow Disaggregation Using Daily Flow Pattern Hydrograph / Vivek Verma 45 Error Analysis of TMPA Near Real-Time Precipitation Estimates for an Indian Monsoon Region / Ashish Kumar and RAAJ Ramsankaran 46 Comparison of Selection of Predictors for Statistical Downscaling of Precipitation Using Different Statistical Techniques / Kumar Keshav, Vivekanand Singh, and Roshni Thendiyath
    In: Water science and technology library, Volume 98
    Language: English
    Keywords: Electronic books ; Aufsatzsammlung
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  • 7
    UID:
    b3kat_BV047896215
    Format: 243 Seiten
    ISBN: 9783775751759
    Note: Impressum: Dieser Katalog erscheint anlässlich der Ausstellung "Dayanita Singh: Dancing with my Camera", die vom 18. März bis zum 7. August 2022 im Gropius Bau, Berlin, präsentiert wird. Die Ausstellung ist vom 11. September 2022 bis zum 15. Januar 2023 im Museum Villa Stuck, München, vom 20. Mai bis zum 8. Oktober 2023 im Mudam Luxembourg - Musée d'Art Moderne Grand-Duc Jean, von Februar bis Juni 2024 im Serralves Museum of Contemporary Art, Porto, zu sehen , Text deutsch
    Language: German
    Keywords: Dayanita Singh 1961- ; Dayanita Singh 1961- ; Schwarzweißfotografie ; Ausstellungskatalog ; Ausstellungskatalog ; Ausstellungskatalog ; Ausstellungskatalog ; Ausstellungskatalog ; Ausstellungskatalog ; Ausstellungskatalog
    Author information: Rosenthal, Stephanie 1971-
    Author information: Dayanita Singh 1961-
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  • 8
    UID:
    b3kat_BV049374882
    Format: 1 audio disc , 4 3/4 in
    Note: Title from disc label , Composed by Duncan Bellamy and Jack Wyllie ; strings composed and arranged by Jack Wyllie , I , II , III
    Language: Undetermined
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  • 9
    Book
    Book
    London : Macmillan, an imprint of Pan Macmillan
    UID:
    b3kat_BV048865229
    Format: xxii, 245 Seiten , Illustrationen , 24 cm
    ISBN: 9781529066425 , 9781529066432
    Content: Learn how to take risks, thrive and build your dream career. Each one of us dreams of possibility - in our careers and in our personal lives. But our pursuit of possibility is hamstrung by a single myth that looms large over us time and time again
    Note: Introduction -- Get going. Ditch the hero's journey ; Pump your risk-taking muscles ; The power of pipelining in parallel ; Why proximity beats planning ; FOMO 〉 FOF + ACTION -- Get smarter. Put who before what when taking a risk ; It's not all about you ; Well, some of it is (how to bet on ourselves) ; Bigger leaps -- Get rewarded. The myth of risk and reward ; To succeed, forget success ; Impact fails ; The sines of growth ; Possibility and powerflow
    Language: English
    Keywords: Unternehmensplanung
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  • 10
    Book
    Book
    Newcastle-upon-Tyne, UK : Cambridge Scholars Publishing
    UID:
    b3kat_BV048317625
    Format: xxviii, 167 Seiten , Illustrationen , 22 cm
    ISBN: 9781527582385
    Content: The dilemma of the gendered subaltern is vital as the group's struggle may consist of layers of oppressed states vis-à-vis gender, class, caste and race, resulting in multiple levels of marginalization. This volume provides a voice to the literary discourse of gendered identity crises and politics represented and analysed through theoretical and theatrical interventions. It underscores how the body becomes a site of identity, oppression and resistance, and interrogates the notions of identity, family structure and society. It further entails discussion on the role of participatory theatre and street performance practices and their changing conventions in the urban theatre space. As such, the volume brings together new and innovative research on the representation of the concerns of the gendered subaltern in urban theatrical spaces, and will appeal to young scholars, academicians, and practitioners in varied disciplines ranging across the humanities, social sciences and performance studies
    Language: English
    Keywords: Theater ; Geschlechterrolle ; Aufsatzsammlung
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