Da: medimops, Berlin, Germania
EUR 7,18
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Aggiungi al carrelloCondizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
EUR 4,37
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Aggiungi al carrelloSoft cover. Condizione: New. Content: 1. Overview of Neural Networks. 2. Fundamentals of Neural Networks. 3. Feed forward Neural Networks. 4. Neural Networks Architectures. 5. Associative Memories. 6. Introduction to Fuzzy Sets: Basic Definitions and Relations. 7. Introduction to Fuzzy Logic. 8. Fuzzy Control and Stability. 8A. Advanced Process Control. 8B. Fuzzy Logic Application. This book gives a systemic account of major concepts, methodologies of artificial neural networks and to present a unified frame work that makes the subject more accessible to students and practitioners. The book emphasizes fundamental theoretical aspects of the computational capabilities and learning abilities of artificial neural networks. It integrates important theoretical results on artificial neural networks and uses them to explain a wide range of existing empirical observations and commonly used heuristics. The main audience of the book is undergraduate students in electrical engineering, computer science and engineering. It can also be used as a valuable resource for practical engineering computer scientists and others involved in research of artificial neural networks.
Editore: Shashwat Publication
ISBN 10: 9360872695 ISBN 13: 9789360872694
Da: Majestic Books, Hounslow, Regno Unito
EUR 5,30
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Aggiungi al carrelloCondizione: New.
Editore: Shashwat Publication
ISBN 10: 9360872695 ISBN 13: 9789360872694
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Editore: Shashwat Publication
ISBN 10: 9360872695 ISBN 13: 9789360872694
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 6,07
Quantità: 4 disponibili
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 41,13
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Packt Publishing 2/26/2021, 2021
ISBN 10: 1838648135 ISBN 13: 9781838648138
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. PostgreSQL 13 Cookbook: Over 120 recipes to build high-performance and fault-tolerant PostgreSQL database solutions. Book.
Da: California Books, Miami, FL, U.S.A.
EUR 44,60
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: New India Publishing Agency, 2024
ISBN 10: 9358872772 ISBN 13: 9789358872774
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 35,43
Quantità: 4 disponibili
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 46,00
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: New India Publishing Agency, 2024
ISBN 10: 9358873663 ISBN 13: 9789358873665
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: New India Publishing Agency, 2024
ISBN 10: 9358873663 ISBN 13: 9789358873665
Da: Majestic Books, Hounslow, Regno Unito
EUR 45,51
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 43,07
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: New India Publishing Agency, 2024
ISBN 10: 9358873663 ISBN 13: 9789358873665
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 47,21
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 344.
EUR 59,55
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Packt Publishing 2021-02-26, 2021
ISBN 10: 1838648135 ISBN 13: 9781838648138
Da: Chiron Media, Wallingford, Regno Unito
EUR 44,48
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 47,44
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Da: Books in my Basket, New Delhi, India
EUR 51,37
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: New. ISBN:9789358872774.
Condizione: As New. Unread book in perfect condition.
EUR 69,98
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Aggiungi al carrelloHardback. Condizione: New. St ed.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,68
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EUR 70,51
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Aggiungi al carrelloHardback. Condizione: New. St ed.
EUR 57,45
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Aggiungi al carrelloCondizione: New.
EUR 59,96
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Aggiungi al carrelloCondizione: New. In.
Da: Majestic Books, Hounslow, Regno Unito
EUR 71,11
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: New India Publishing Agency, 2025
ISBN 10: 9358872772 ISBN 13: 9789358872774
Da: Vedams eBooks (P) Ltd, New Delhi, India
EUR 61,21
Quantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New. Water is a valuable natural resource that is essential to all aspects of life on Mother "Earth" In fact, our planet is covered by 70% of water, but only 3% of the total water is in the form of freshwater, and again two-thirds of that is in the form of glaciers or is unavailable for our use. Presently, 1.1 billion people globally lack access to good drinking water resources, and another 2.7 billion find water scarce for at least one month of the year. With growing urban population and land use changes, water scarcity will be exacerbated, and also with climate change and bio-energy demands amplify the complex relationship between world development and water demand. The chapters cover the topic of: Introduction to Remote Sensing and Its Applications Quantitative Evaluation of Geomorphology Using Geo-Spatial Techniques Insights into the Groundwater Resource Mapping Assessing Spatial Changes in Blue and Green Water Resources GIS Tools for Mapping the Spatio-Temporal Trends in Rainfall Distribution Geographic Information System (GIS): A Practical Guide Towards Data Visualization, Analysis and Map Preparation.
Da: Books in my Basket, New Delhi, India
EUR 64,23
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: New. ISBN:9789358873665.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 68,30
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: New India Publishing Agency, 2025
ISBN 10: 9358873663 ISBN 13: 9789358873665
Da: Vedams eBooks (P) Ltd, New Delhi, India
EUR 73,90
Quantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New. Contents: Section 1: Basics of R Programming and its Importance in Water Resource Analysis 1 An R-Based Approach Toward Understanding the Changing Dynamics in Water Resources Naveena K., Ch.V. Naga Kumar K., Surendran U., Santhosh Onte and Manoj P. Samuel 2 An Introduction to R Programming for Water Resource Management Naveena K., Santosha Rathod and Ch.V Naga Kumar 3 Data Visualization Tools and Techniques for Analyzing Hydrological Data in R Naveena K. and Ch.V Naga Kumar Section 2: Development of Climate and Drought Indices 4 Computation of Potential, Actual, and Reference Evapotranspiration Using R Package Evapotranspiration Fathima Sona N., Naveena K., and Surendran U. 5 Comparison of Meteorological Drought Indices for Assessment of Drought Features Santhosh Onte, Naveena K., Devika Sajan, Surendran U, and Ch.V Naga Kumar 6 Computation of Weather Indices for Climate Change Analysis Venu Prasad H.D. and Nandhana S. Section 3: Statistical Time Series Analysis for Water Resource Management 7 Data Uncertainties in Water Resources Modelling: A Special Reference to Hydrology Venu Prasad H.D.and Nandhana S. 8 Trend Analysis For Studying Different Climate Change Scenarios Connecting To Water Resources Naveena K., Surendran U., Drissia T.K. and Ch.V Naga Kumar 9 A Time Series Forecasting of Water Resources Using Autoregressive Integrated Moving Average (ARIMA) Models Naveena K. and Santosha Rathod 10 Modeling Time-Varying Volatility of Drought Using ARIMAGARCH. Naveena K., Halagundegowda G.R. and Nagaraja M.S. Section 4: Machine Learning Approach for Water Resource Management 11 A Comparative Study of Machine Learning Techniques for Forecasting Effective Drought Index Rajeev R.K., Mrinmoy R., Kanchan S.and Singh K.N. 12 Rainfall Prediction Using Neural Networks Veershetty, Harish Nayak G.H., G. Avinash, Vinay H.T. and Moumita Baishya 13 Multivariate Time Series Analysis for Prediction of RainfallA Machine Learning Approach Harish Nayak G.H., G. Avinash, Veershetty, Moumita Baishya and Vinay H.T. 14 Drought Coping Mechanisms: An Investigation of Determinants of Adoption by Decision Learning Approach Halagundegowda G.R., Singh A., Naveena K.and Nagaraja M.S. 15 Classification of Farmers Based on Drought Coping Strategies Using Support Vector Machine (SVM) Halagundegowda G.R., Singh A., Naveena K.and Nagaraja M.S. Section 5: Hybrid Time Series Modeling for Water Resource Management 16 Revolutionizing Rainfall Prediction: Boosting Accuracy with a Hybrid Statistical and Deep Learning Approach G. Avinash, Veershetty, Harish Nayak G.H., Vinay H.T. and Moumitha Baishya 17 Leveraging the Potential of Artificial Intelligence Techniques for Time Series Analysis: A Case Study of Modeling Water Stress Santosha Rathod, Amuktamalyada Gorlapalli and Naveena K. 18 A Two-Stage Modeling Framework for Time-Series Analysis of Spatiotemporal Data Santosha Rathod, Gayatri Chitikela, Amit Saha, Naveena K., Bishal Gurung, Mrinmoy Ray and K.N. Singh. Index. "R Programming' is a well-developed, simple, and effective programming language and an integrated environment for statistical computing and data analysis. It provides a wide variety of statistical techniques (e.g., linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and raster data processing. The growth of R's usage in water science is reflected in the number of newly published packages connecting to water problems. In this book, we explore the usage of different R packages to solve water science issues connecting to rainfall, drought, evapotranspiration, stream flow analysis, etc., advanced statistical and machine learning models like Modified Trend analysis, Autoregressive Integrated Moving Average (ARIMA), Artificial Neural Network (ANN), hybrid models (ARIMA-ANN, ARIMASVR), Multivariate modeling, spatiotemporal time series modeling, count time series modeling for forecasting, in addition to understanding the Remote Sensing.