Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (XIII, 223 Seiten) , 36 Illustrationen

ISBN: 9789811048883

Series Statement: Flexible Systems Management

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-10-4887-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-10-4889-0

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-135-258-4

Language: English

Subjects: Economics

Keywords: Operations Management ; Ressourcenmanagement ; Strategisches Management ; Flexibilität ; Aufsatzsammlung ; Konferenzschrift ; Aufsatzsammlung ; Konferenzschrift

DOI: 10.1007/978-981-10-4888-3

URL: Volltext  (URL des Erstveröffentlichers)

URL: Volltext  (URL des Erstveröffentlichers)

Author information: Sushil 1956-

UID:

Format: XLIII, 1253 S. , zahlr. Ill., graph. Darst., Kt.

ISBN: 9789048126415 , 9789048126439

Series Statement: Encyclodedia of earth sciences series

Language: English

Subjects: Physics , Earth Sciences , Geography

Keywords: Glaziologie ; Glaziales Sediment ; Glazialgeologie ; Dauerfrostgebiet ; Dauerfrostboden ; Kryosphäre ; Eis ; Eisdecke ; Gletscherkunde ; Gletscher ; Schnee ; Glaziallandschaft ; Glazialerosion ; Glazialmorphologie ; Schnee ; Eis ; Gletscher ; Wörterbuch ; Wörterbuch ; Wörterbuch ; Wörterbuch

URL: http://www.springerlink.com/content/978-90-481-2641-5/#section=913183&page=1

URL: Inhaltsverzeichnis

Author information: Singh, Vijay P. 1946-

UID:

Format: 1 Band (verschiedene Seitenzählungen) , Illustrationen, Diagramme

Edition: Second edition to replace the classic 1964 edition edited by Ven Te Chow

ISBN: 9780071835091

Note: War angekündigt unter: Chow's handbook of applied hydrology

Language: English

Subjects: Geography

Keywords: Angewandte Hydrologie ; Aufsatzsammlung

Author information: Singh, Vijay P. 1946-

UID:

Format: XXII, 891 S. : , graph. Darst., Kt.

ISBN: 1-887201-34-3

UID:

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

DOI: 10.1007/978-3-030-64777-3

URL: Ebook (access only within the AWI network)

Author information: Singh, Vijay P. 1946-

UID:

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

DOI: 10.1007/978-3-030-64202-0

URL: Ebook (access only within the AWI network)

UID:

Format: 50 S.

Note: MAB0014.001: PIK N 456-06-0400

UID:

Format: XII, 242 S.

ISBN: 0792339258

Series Statement: Water science and technology library 17

Note: MAB0014.001: M 01.0171

In: Water science and technology library

Language: English

UID:

Format: 1 Online-Ressource (xxi, 731 Seiten) , Illustrationen

ISBN: 9789811058011 , 978-981-10-5801-1

ISSN: 0921-092X , 1872-4663

Series Statement: Water science and technology library 81

Content: This book contains seven parts. The first part deals with some aspects of rainfall analysis, including rainfall probability distribution, local rainfall interception, and analysis for reservoir release. Part 2 is on evapotranspiration and discusses development of neural network models, errors, and sensitivity. Part 3 focuses on various aspects of urban runoff, including hydrologic impacts, storm water management, and drainage systems. Part 4 deals with soil erosion and sediment, covering mineralogical composition, geostatistical analysis, land use impacts, and land use mapping. Part 5 treats remote sensing and geographic information system (GIS) applications to different hydrologic problems. Watershed runoff and floods are discussed in Part 6, encompassing hydraulic, experimental, and theoretical aspects. Water modeling constitutes the concluding Part 7. Soil and Water Assessment Tool (SWAT), Xinanjiang, and Soil Conservation Service-Curve Number (SCS-CN) models are discussed. The book is of interest to researchers and practitioners in the field of water resources, hydrology, environmental resources, agricultural engineering, watershed management, earth sciences, as well as those engaged in natural resources planning and management. Graduate students and those wishing to conduct further research in water and environment and their development and management find the book to be of value

Note: Contents Part I Rainfall Analysis Rainfall Probability Distribution Analysis in Selected Lateral Command Area of Upper Krishna Project (Karnataka), India / N. K. Rajeshkumar, P. Balakrishnan, G. V. Srinivas Reddy, B. S. Polise Gowdar and U. Satishkumar Analyzing Rainfall and Reservoir Release Pattern for Ajwa Reservoir: A Case Study / Pushkar Sharma and Sanskriti Mujumdar Preliminary Investigations on Localized Rainfall Interception Losses Under Real Field Observations / M. L. Gaur and Saket Kumar Probabilistic Estimation of Design Daily Runoff from Bamhani Watershed, India / Sarita Gajbhiye Meshram and Vijay P. Singh Part II Evapotranspiration Development of Generalized Higher-Order Neural Network-Based Models for Estimating Pan Evaporation / Sirisha Adamala, N. S. Raghuwanshi and Ashok Mishra Sensitivity Analysis of FAO-56 Penman–Monteith Reference Evapotranspiration Estimates Using Monte Carlo Simulations / Gicy M. Kovoor and Lakshman Nandagiri Quantification of Error in Estimation of Reference Crop Evapotranspiration by Class A Pan Evaporimeter and Its Correction / S. Praharaj, P. K. Mohanty and B. C. Sahoo Part III Urban Runoff Spatial and Temporal Analyses of Impervious Surface Area on Hydrological Regime of Urban Watersheds / Tauseef A. Ansari and Y. B. Katpatal An Assessment of Hydrological Impacts Due to Changes in the Urban Sprawl in Bhopal City and its Peripheral Urban-Rural Fringe / L. Patel, S. Goyal and T. Thomas Simulation of Urban Drainage System Using Disaggregated Rainfall Data / Vinay Ashok Rangari, K. Veerendra Gopi, N. V. Umamahesh and Ajey Kumar Patel Investigation of Drainage for Structures, Lithology and Priority (Flood and Landslide) Assessment Using Geospatial Technology, J&K, NW Himalaya / Umair Ali and Syed Ahmad Ali Hydrologic Design Parameters Database for Water Harvesting Structures in Madhya Pradesh / Ramadhar Singh, Karan Singh and D. M. Bhandarkar Application of Storm Water Management Model to an Urban Catchment / V. Swathi, K. Srinivasa Raju and Ajit Pratap Singh Part IV Soil Erosion and Sediment A Study of Erosional Depositional Activity and Land Use Mapping of Majuli River Island Using Landsat Data / Dipsikha Devi, Nilutpal Phukan and Bibhash Sarma Study of Soil Erosion and Deposition Around an Island in a Natural Stream / Snigdhadip Ghosh, Saptarshi Das and Vijay Kumar Dwivedi Impact Assessment of Alternate Land Cover and Management Practices on Soil Erosion: A Case Study / T. R. Nayak, R. K. Jaiswal, R. V. Galkate and T. Thomas Geostatistical Analysis of River Sedimentation Behavior in Kerala State / Mathew K. Jose, T. Chandramohan, B. K. Purandara and B. Venkatesh Study of Mineralogical Composition of Sediment in Brahmaputra River in Urban Stretch of Guwahati City, Assam, India / Mamata Das and Triptimoni Borah Part V Remote Sensing and GIS Applications Hypsometric Analysis for Assessing Erosion Status of Watershed Using Geographical Information System / S. K. Sharma, S. Gajbhiye, S. Tignath and R. J. Patil Assessment of Different Bathymetry Statistical Models Using Landsat-8 Multispectral Images / Omar Makboul, Abdelazim Negm, Saleh Mesbah and Mohamed Mohasseb Estimation of Minimum and Maximum Air Temperature Using MODIS Remote Sensing Imagery and Geographical Information System (GIS) / P. Sardhara Bharatkumar, P. Dholariya Jay, M. K. Tiwari and M. L. Gaur A RS and GIS Approaches for the Estimation of Runoff and Soil Erosion in SA-13 Watershed / H. N. Bhange and V. V. Deshmukh Rainwater Harvesting Structure Site Suitability Using Remote Sensing and GIS / B. K. Gavit, R. C. Purohit, P. K. Singh, Mahesh Kothari and H. K. Jain Land Surface Temperature Estimation Using Remote Sensing Data / Vijay Solanky, Sangeeta Singh and S. K. Katiyar Watershed Prioritization of Wardha River Basin, Maharashtra, India Using Morphometric Parameters: A Remote Sensing and GIS-Based Approach / B. S. Manjare, S. Khan, S. A. Jawadand and M. A. Padhye Flood Assessment of Lolab Valley from Watershed Characterization Using Remote Sensing and GIS Techniques / Mannan Bashir Wani, Syed Ahmad Ali and Umair Ali Delineation of Paleochannels in Periyar River Basin of Kerala Using Remote Sensing and Electrical Resistivity Methods / C. P. Priju, Jiby Francis, P. R. Arun and N. B. Narasimha Prasad Application of EO-1 Hyperion Data for Mapping and Discrimination of Agricultural Crops / H. Ramesh and P. P. Soorya Geomatica-Based Approach for Automatic Extraction of Lineaments from ASTER-GDEM Data, in Part of Al-Rawdah, Shabwah, Southeast Yemen / Mohammed Sultan Alshayef and Akram Javed Part VI Watershed Runoff and Floods Morpho-Mathematical Analysis of Bharar River Basin District Chhatarpur-Central India / Pradeep Kumar Jain Application of Principal Component Analysis for Grouping of Morphometric Parameters and Prioritization of Watershed / Sarita Gajbhiye Meshram and S. K. Sharma Velocity Distribution in Vortex Chamber at High Water Abstraction Ratio / Mohammad Athar and Shivani Srotriya Performance Appraisal of Friction Factor Estimators / Abhishek Mishra, Aditya Deshpande and Bimlesh Kumar Experimental Investigations of Wave Height Attenuation by Submerged Artificial Vegetation / Beena Mary John, I. Mohit Babu, Kiran G. Shirlal and Subba Rao Developing Rating Curves for Nubia Lake, Sudan, Using RS/GIS / Mohamed Elsahabi, Abdelazim Negm and Kamal Ali A Spreadsheet Approach for Prediction of Rating Curve Parameters / Mohammad Muzzammil, Javed Alam and Mohammad Zakwan Experimental Study on Role of Emergent Artificial Coastal Vegetation in Controlling Wave Run Up / Beena Mary John, R. T. Arun Vignesh, Kiran G. Shirlal and Subba Rao Development of Regional Soil Water Retention (SWR) Characteristics / R. K. Jaiswal, T. Thomas, R. V. Galkate, S. Singh and J. V. Tyagi Revision of Empirical Coefficients of Commonly Used Flood Formulae Using Flow Data from Karnataka Rivers / T. Chandramohan, Mathew K. Jose, B. K. Purandara and B. Venkatesh Reservoir Inflow Forecasting Using Extreme Learning Machines / Mukesh Kumar Tiwari and Sanjeet Kumar Quantifying Discontinuity, Connectivity, Variability, and Hierarchy in Overland Flow Generation: Comparison of Different Modeling Methods / Xuefeng Chu Nondimensional UH-Based Smoothing of S-Curve-Derived UH Oscillations / P. R. Patil, S. K. Mishra, Nayan Sharma and Vijay P. Singh Fuzzy-Based Comprehensive Evaluation of Environmental Flow Alteration / Kairong Lin, Fan Zhang, Qiang Zhang, Xinjun Tu and Yang Hu Part VII Watershed Modeling Spatial Characters of a Tropical River Basin, South-West Coast of India / Girish Gopinath, N. Ramisha, Ajith G. Nair and N. P. Jesiya Streamflow Estimation Using SWAT Model Over Seonath River Basin, Chhattisgarh, India / Sabyasachi Swain, Mani Kant Verma and M. K. Verma Revisiting the Soil Conservation Service Curve Number Method / S. K. Mishra, Vijay P. Singh and P. K. Singh Hydrological Impacts of Rejuvenating Degraded Hilly Watershed in Shivalik Region / A. K. Tiwari and V. K. Bhatt Modeling of a River Basin Using SWAT Model / B. Venkatesh, T. Chandramohan, B. K. Purandara, Mathew K. Jose and P. C. Nayak Performance of the Xinanjiang Model / A. Ahirwar, M. K. Jain and M. Perumal

Language: English

Keywords: Electronic books ; Konferenzschrift

DOI: 10.1007/978-981-10-5801-1

URL: Ebook (access only within the AWI network)

UID:

Format: 1 Online-Ressource (236 Seiten)

ISBN: 9783030827632

Series Statement: EAI/Springer Innovations in Communication and Computing Ser

Note: Description based on publisher supplied metadata and other sources , Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- About the Editors -- 1 Analytics Techniques: Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics -- 1.1 Introduction -- 1.2 Analytics -- 1.2.1 Role of Analytics in Business -- 1.2.2 Types of Analytics -- 1.3 Descriptive Analytics -- 1.3.1 Functions of Descriptive Analytics -- 1.3.2 Advantages of Descriptive Analytics -- 1.3.3 Descriptive Analytics and Its Uses -- 1.3.4 Need for Other Analytics -- 1.4 Predictive Analytics -- 1.4.1 Steps in Predictive Analytics -- 1.4.2 Predictive Analytics and Its Uses -- 1.4.3 Predictive Analytics Examples -- 1.5 Prescriptive Analytics -- 1.5.1 Advantages of Prescriptive Analytics -- 1.5.2 Prescriptive Analytics and Its Uses -- 1.5.3 Prescriptive Analytics Examples -- 1.6 Conclusion -- 1.7 Future Directions -- References -- 2 A Complete Overview of Analytics Techniques: Descriptive, Predictive, and Prescriptive -- 2.1 Introduction -- 2.2 Descriptive Analytics -- 2.2.1 The Ratio Analysis: An Elaborate Example of Descriptive Analytics in Business -- 2.2.2 The Gist of Descriptive Analytics -- 2.3 Predictive Analytics -- 2.4 Statistics -- 2.4.1 How Does It Work? -- 2.4.1.1 Classification Models -- 2.4.1.2 Regression Models -- 2.4.2 Predictive Analytics Process -- 2.4.3 Predictive Analytics Tools -- 2.4.4 Uses of Predictive Analytics in Different Industries -- 2.4.5 Why Now? -- 2.5 Prescriptive Analytics -- 2.5.1 Introduction -- 2.5.2 Background of Prescriptive Analytics -- 2.5.3 Methods for Prescriptive Analytics -- 2.5.3.1 Probabilistic Models -- 2.5.3.2 Machine Learning -- 2.5.3.3 Statistical Analysis -- 2.5.3.4 Mathematical Programming -- 2.5.3.5 Evolutionary Computation -- 2.5.3.6 Simulation -- 2.5.3.7 Logic-Based Models -- 2.6 Conclusion -- 2.7 Conclusion -- References , 3 Artificial Intelligence and Analytics for Better Decision-Making and Strategy Management -- 3.1 Introduction -- 3.2 India and AI -- 3.3 Potential of AI -- 3.3.1 Healthcare -- 3.3.2 Agriculture -- 3.3.3 Education -- 3.3.4 Smart Mobility in Transportation -- 3.4 Role of AI in Decision-Making -- 3.4.1 Strategic Management and AI -- 3.4.2 Key Challenges to Adopt AI in India -- 3.5 Conclusion -- References -- 4 Artificial Intelligence: Game Changer in Management Strategies -- 4.1 Introduction -- 4.2 Concept of Artificial Intelligence -- 4.3 Background of "AI" -- 4.4 The Digital Business Vagueness -- 4.5 Digital Transformation in Management -- 4.5.1 Ambition of the Organization -- 4.5.2 To Design a Product -- 4.5.3 Deliver Phase -- 4.5.4 Scaling -- 4.5.5 To Refine -- 4.6 Artificial Intelligence in Organization -- 4.7 Who Is Manager? -- 4.8 "Strategic Management" -- 4.8.1 Connection Between Strategic Management and Artificial Intelligence -- 4.8.2 Improvement and Redefining in the Organization Strategies Vis-a-Vis AI -- 4.8.3 Artificial Intelligence on Strength, Weakness, Opportunities, Threat (SWOT) -- 4.9 Conclusion -- References -- 5 Prospects and Future of Artificial Intelligence (AI) in Business Strategies -- 5.1 Introduction -- 5.2 Literature Review Including Research Gap -- 5.3 Materials and Methods -- 5.3.1 Worldwide Companies or Owners of Humanoid and Related to AI -- 5.3.2 Workforce Domain Contains Retention -- 5.4 Case Study and Application -- 5.4.1 Workforce Planning -- 5.4.1.1 Human Office and Oversight -- 5.4.1.2 Specialized Robustness and Well-being -- 5.4.1.3 Security and Data Organization -- 5.4.1.4 Straightforwardness -- 5.4.1.5 Assortment, Non-isolation, and Sensibility -- 5.4.1.6 Social and Common Success -- 5.4.1.7 Obligation -- 5.4.2 The Interest of Denmark, Finland, France, and Germany in AI is Likewise Significant , 5.4.2.1 Occupation Misfortunes AI in the Work Environment Have Meanings of Mass Occupation Misfortunes -- 5.4.2.2 Expenses -- 5.4.2.3 Absence of Mindfulness -- 5.5 Safety Measures -- 5.5.1 Diminishes Human Error -- 5.5.2 Attempts of Hazardous Undertakings -- 5.5.3 Track Worker Location and That is Only the Tip of the Iceberg -- 5.5.4 Screens Workplace Harassment -- 5.5.5 Work Environment Automation -- 5.6 Recruitment -- 5.7 Authors' Contribution -- 5.8 Result or Conclusion with Future Scope -- References -- 6 Artificial Intelligence: Technologies, Applications, and Policy Perspectives. Insights from Portugal -- 6.1 Introduction -- 6.2 Methodology -- 6.3 AI: Themes, Sectors, and Applications -- 6.4 Policy Reflections About Fostering Artificial Intelligence -- 6.5 EU Artificial Intelligence Strategy 2030 -- 6.6 Portugal Artificial Intelligence Overview -- 6.7 Portuguese AI Case Studies -- 6.8 Artificial Intelligence Policy Ramifications -- 6.9 Conclusion -- References -- 7 The Rise of Decision Intelligence: AI That Optimizes Decision-Making -- 7.1 The Rise of Decision Intelligence (DI) -- 7.2 The Rise of Decision Intelligence (DI) -- 7.3 An Opinion to Decision-Making -- 7.3.1 Decisions Are Judgements -- 7.3.2 Know the Criteria of Relevant Information/Data -- 7.3.3 Test your Opinions Against Reality/Actual Data -- 7.4 Decision Intelligence: The Pathway -- 7.5 A Framework of DI -- 7.6 The Emergence of Machines as Aids in Society -- 7.7 The Evolving Pervasiveness of AI and Capabilities in Human Life -- 7.8 AI, Decision Intelligence, and Business Organizations -- References -- 8 A Survey on Analytics Technique Used for Business Intelligence -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Models and Techniques: An Overview -- 8.4 Applications -- 8.5 Conclusion -- References , 9 Decision Intelligence Analytics: Making Decisions Through Data Pattern and Segmented Analytics -- 9.1 Introduction -- 9.2 Basic Terminologies -- 9.2.1 Panel Data Analysis -- 9.2.2 Formal Concept Analysis -- 9.3 Formal Panel Concept Analysis -- 9.4 Representation of Panel Data -- 9.5 Experimental Results -- 9.6 Conclusion -- References -- 10 Amalgamation of Business Intelligence with Corporate Strategic Management -- 10.1 Introduction -- 10.2 Strategic Management -- 10.3 The Role of Business Intelligence on Strategic Management Choices -- 10.4 The Role of Data Quality in Strategic Management -- 10.5 The Business Intelligence for Development of Data Integration -- 10.6 The Business Intelligence for the Development of a Reporting System -- 10.7 The Business Intelligence for Developing Future Scenarios -- 10.8 The Business Intelligence for Optimising Processes -- 10.9 The Role of Business Intelligence on Obtaining a Competitive Advantage -- 10.10 Case Study -- 10.11 Conclusion -- References -- 11 Role of Decision Intelligence in Strategic Business Planning -- 11.1 Introduction -- 11.2 Why Does Strategic Business Planning Need Decision Intelligence? And Decision Intelligence: How it Influences SBP? -- 11.2.1 Strategic Business Planning -- 11.2.2 Decision Intelligence -- 11.3 Decision Intelligence in Strategic Business Planning -- 11.4 Decision Intelligence and Strategic Business Planning Misconceptions -- 11.5 Conclusion/Recommendations -- References -- 12 Social and Web Analytics: An Analytical Case Study on Twitter Data -- 12.1 Introduction -- 12.2 Social Media Platforms and Analytics Tools -- 12.2.1 Social Media Platforms -- 12.2.2 Social Media Analytical Tools -- 12.3 Social Media Data Collection Using Twitter API -- 12.3.1 Data Collection from Twitter -- 12.3.2 Data Labeling -- 12.3.3 Data Pre-Processing and Cleaning -- 12.3.4 Data Analytics , 12.4 Conclusion -- References -- 13 People Analytics: Augmenting Horizon from Predictive Analytics to Prescriptive Analytics -- 13.1 Introduction -- 13.2 People Analytics Constituents -- 13.3 Descriptive People Analytics -- 13.4 Predictive People Analytics -- 13.5 Prescriptive People Analytics -- 13.6 Conclusion -- References -- 14 Machine Learning Based Predictive Analytics: A Use Case in Insurance Sector -- 14.1 Introduction -- 14.1.1 Descriptive Analytics -- 14.1.2 Diagnostic Analytics -- 14.1.3 Predictive Analytics -- 14.1.4 Prescriptive Analytics -- 14.2 Machine Learning Empowering Predictive Analytics -- 14.3 A Use Case of Machine Learning and Predictive Analytics: Prediction of Insurance Premium -- 14.3.1 Dataset Description -- 14.3.2 Exploratory Data Analysis -- 14.3.3 Implementation of Prediction Model and Results -- 14.4 Conclusion -- References -- 15 Machine Learning Applications in Decision Intelligence Analytics -- 15.1 Introduction -- 15.1.1 Application of Machine Learning -- 15.1.1.1 Virtual Personal Assistants (VPA's) -- 15.1.1.2 Traffic Predictions -- 15.1.1.3 Social Media Personalization -- 15.1.1.4 Email Spam Filtering -- 15.1.1.5 Online Fraud Detection -- 15.1.1.6 Assistive Medical Technology -- 15.1.1.7 Automatic Translation -- 15.1.1.8 Recommendation Engines -- 15.2 Summary and Conclusion -- References -- 16 Demystifying Behavioral Biases of Traders UsingMachine Learning -- 16.1 Introduction -- 16.1.1 Confirmation Bias -- 16.1.2 Illusion of Control Bias -- 16.1.3 Availability Bias -- 16.1.4 Representativeness Bias -- 16.1.5 Framing Bias -- 16.1.6 Self-Attribution Bias -- 16.1.7 Recency Bias -- 16.1.8 Outcome Bias -- 16.1.9 Cognitive Dissonance Bias -- 16.2 Concluding Remarks -- References , 17 Real-Time Data Visualization Using Business Intelligence Techniques in Small and Medium Enterprises for Making a Faster Decision on Sales Data

Additional Edition: Erscheint auch als Druck-Ausgabe Jeyanthi, P. Mary Decision Intelligence Analytics and the Implementation of Strategic Business Management Cham : Springer International Publishing AG,c2021 ISBN 9783030827625

Language: English