raju srinivasa (46 Ergebnisse)

Zustand: New. pp. 277.

Soft cover. Zustand: New. Contents Foreword Preface 1 Introduction 2 Single Objective Optimization 3 Estimation of Weights 4 Multiobjective Optimization 5 Methods of Classification 6 Discrete Multicriterion Decision-Making 7 Fuzzy Logic-Based Discrete MCDM 8 Correlation Coefficients and Group Decision-Making 9 Advanced Topics of Decision-Making 10 Case Studies Appendix  Bibliography Index   Multicriterion Decision-Making MCDM can be perceived as a process of evaluating real-world situations based on various qualitativequantitative criteria in certainuncertainrisky environments in order to find a suitable course of actionchoicestrategypolicy among the several available options This book concentrates on the basic principles of multicriterion analysis and acquaints the reader with the recent trends in MCDM analysis It explains the basics of Structured Decision-Making SDM and describes the various features of traditional optimization methods such as linear and non-linear programming and dynamic programming as well as non-traditional optimization methods such as genetic algorithms differential evolution and simulated annealing and quenching The text elaborates the normalization methods weight estimation methods and multiobjective optimization methods both in traditional and non-traditional environments Classification approaches with cluster validation indices discrete MCDM methods both in deterministic and fuzzy approach and group decision-making methods are discussed in detail Advanced topics in decision-making such as data envelopment analysis Taguchi methodology ant colony optimization and particle swarm optimization are also coveredIn addition the book includes many case studies for better comprehension of the procedures involved in the methods 288 pp.

Zustand: New. pp. 277.

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24 cm. XVI, 266 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Climate. Sprache: Englisch.

Paperback. Zustand: new. Paperback. "8 Lovely Lies; A Husband's Guide to Win His Wife's Heart"Are you tired of feeling like you're stuck in a rut with your partner? Do you want to rekindle the spark and romance in your relationship? Look no further! This charming guide is specifically designed for husbands who want to win their wife's heart and create a stronger, more loving bond. Inside, you'll discover 8 cleverly crafted "lies" that will help you show your love and appreciation in unexpected ways. From surprise gestures to thoughtful words, these secrets will help you build trust, intimacy, and a deeper connection with your partner.Whether you're looking to strengthen your relationship, celebrate a milestone anniversary, or simply want to shower your loved one with love and attention, this book is the perfect companion. With its witty humor and practical advice, "8 Lovely Lies" is the ultimate gift for grooms, husbands, and friends looking to elevate their romantic game.Give your wife the surprise of her life and discover the power of "Lovely Lies" today! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Contents 1 Chaotic Nature of Rainfall Series and Nonlinear Ensemble PredictionD Nagesh Kumar and CT Dhanya 2 Safe Drinking Water Generation and Management for CEERI Colony Residents A Case StudyKSN Rao Seshikant Sadistap Santosh Kumar B Ramana and Chandrashekhar 3 Knowledge Extraction from Neural Network Based Hydrologic Models A ReviewKP Sudheer Technical Papers 1 Inter-Comparison of General Circulation Models for Hydrologic PredictabilityTV Reshmidevi and D Nagesh Kumar 2 Assessment of Climate Change for an Arid RegionSantosh M Pingale Mahesh K Jat and Deepak Khare 3 Multivariate Statistical Analysis of Flood Flows Using CopulasM Janga Reddy and P Ganguli 4Pattern of Rainfall Extremes in OntarioWT Dickinson RP Rudra J Zhou and SI Ahmed 5Analysis of Flow Pattern Versus Possible Climate Change in a Sub-Humid River Basin of the Western GhatsMathew K Jose and B Venkatesh 6 Impact of Climatic Change in Mining and Industrial Region of Angul-Talcher Coalfield Orissa IndiaPrasoon Kr Singh and Gurdeep Singh 7 Managing Climate Change in Himalayan Mountains and Its Implications for the Indian Sub-ContinentMR Bhutiyani 8 Conservation Agriculture A Potential Approach to Enhance Resource Use Efficiency Carbon Sequestration and Mitigate Climate ChangeUK Behera and AR Sharma 9 Climate Change and Artificial EcosystemsCVR Krishna Mohan KVSG Murali Krishna and VVS Sreenivas 10 Climate Change its Impact on Ground WaterMukul Chandra Bora 11 Resources and Effective Water Management in the Context of Climate ChangeCVR Krishna Mohan KVSG Murali Krishna and VVS Sreenivas 12 Regionalization of Flow Duration Quantiles Comparison Of Multiple Least-Squares Regression and Artificial Neural Networks ApproachesLakshman Nandagiri 13 Uncertainty Quantification for Predicted Streamflow Through a Semiparametric ApproachRajib Maity and Mahesh Sawant 14 Optimal Annual Allocation Model for Nagarjunasagar Project by Multi Level ApproachA Srinivasa Prasad NV Umamahesh and GK Viswanath 15 Short Duration Rainfall Analysis for Kakinada CitySV Vijaya Kumar D Mohan Rangan UVN Rao and PR Rao 16 Performance Evaluation of Rainfall Runoff Modeling Using Levenberg Marquardt AlgorithmCSV Subrahmanya Kumar and GK Viswanadh 17 Reservoir Sedimentation Studies to Re-Estimate Useful Life of a ReservoirVaibhav Garg and V Jothiprakash 18 Optimal Design of Water Distribution Network for Equity in Water SupplyPrasad VKSV Gottipati Umamahesh V Nanduri 19 Uncertainty Analysis of a Water Distribution System in Conjunction with a Water Quality ModelHarpreet Kaur Sushma Pasupala and Subhankar Karmakar 19 Monitoring Reservoir Sedimentation Using Remote Sensing TechniqueVS Jeyakanthan and S Sanjeevi 20 FEM and GIS Based Simulation Modelling of Watershed for Soil Erosion and Sediment Yield M Gopal Naik 21 Remote Sensing and GIS Techniques for Delineation and Mapping of Microwatersheds and Traditional Rainwater Harvesting Structures in Mulki River Basin for Sustainable DevelopmentK Radhakrishnan and KN Lokesh 22 Rainfall Runoff Modeling Using GIS and Digital Elevation Model of a Ungauged BasinBN Malleswara Rao and NV Umamahesh 23 The Necessity of GIS in Calcualting Canal Conveyance Losses for an Irrigation Command AreaCh Ramesh Naidu and MVSS Giridhar 24 GIS Application in Hydrogeological StudiesHS Govardhana Swamy and SS Honnana Goudar 25 Impact of Embankment System on Water Bodies of Majuli Island A GIS Based StudyBansari Sarma and AK Sarma 26 Rainfall and Runoff Process Using Overland Time of Concentration and GISGK Viswanadh NC Gautam GV Ramana and MVSS Giridhar 27 Using Remote Sensing and GIS Tools for Hydrological Analysis of Ramganga Watershed Uttarakhand StatePK Garg and Rajat Agarwal 28 Development of Hydrus-1d Interface in GIS for Simulation of Moisture and Nitrogen Dynamics in the Cropped Area of IARI FarmJP Dash A Sarangi and DK Singh 29 Development of Artificial Neural Network ANN Models for Prediction of Evapotranspiration of Wheat Crop At IARI Farm New DelhiP Sundar Kumar and TV.

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Hardcover. Zustand: new. Hardcover. The present book covers various facets of Artificial Intelligence, Machine Learning, and Fuzzy Logic. It includes a brief discussion on performance indicators, Classical and Advanced Machine Learning algorithms, Fuzzy logic-based modelling algorithms, Emerging Research Areas, including Blockchain, recent ML techniques, Evolutionary Algorithms, Large Language Model (LLM)-based Generative AI, the Internet of Things, Big Data, Decision Support Systems, Taguchi design of experiments, data augmentation, and Cross-Validation, and representative case studies. The appendix covers representative AI tools, data sources, books, and journals on AI. The present book can support undergraduate, postgraduate, and Ph.D. students in Artificial Intelligence, Generative Artificial Intelligence, Machine Learning, Data Sciences, Soft Computing, and Fuzzy Logic in Engineering and Management and allied fields. The proposed book has immense value in the interdisciplinary and cross-disciplinary context. The present book covers various facets of Artificial Intelligence, Machine Learning and Fuzzy Logic. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

Hardcover. Zustand: Like New. Like New. book.

Hardcover. Zustand: new. Hardcover. The present book covers various facets of Artificial Intelligence, Machine Learning, and Fuzzy Logic. It includes a brief discussion on performance indicators, Classical and Advanced Machine Learning algorithms, Fuzzy logic-based modelling algorithms, Emerging Research Areas, including Blockchain, recent ML techniques, Evolutionary Algorithms, Large Language Model (LLM)-based Generative AI, the Internet of Things, Big Data, Decision Support Systems, Taguchi design of experiments, data augmentation, and Cross-Validation, and representative case studies. The appendix covers representative AI tools, data sources, books, and journals on AI. The present book can support undergraduate, postgraduate, and Ph.D. students in Artificial Intelligence, Generative Artificial Intelligence, Machine Learning, Data Sciences, Soft Computing, and Fuzzy Logic in Engineering and Management and allied fields. The proposed book has immense value in the interdisciplinary and cross-disciplinary context. The present book covers various facets of Artificial Intelligence, Machine Learning and Fuzzy Logic. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. The present book covers various facets of Artificial Intelligence, Machine Learning, and Fuzzy Logic. It includes a brief discussion on performance indicators, Classical and Advanced Machine Learning algorithms, Fuzzy logic-based modelling algorithms, Emerging Research Areas, including Blockchain, recent ML techniques, Evolutionary Algorithms, Large Language Model (LLM)-based Generative AI, the Internet of Things, Big Data, Decision Support Systems, Taguchi design of experiments, data augmentation, and Cross-Validation, and representative case studies. The appendix covers representative AI tools, data sources, books, and journals on AI. The present book can support undergraduate, postgraduate, and Ph.D. students in Artificial Intelligence, Generative Artificial Intelligence, Machine Learning, Data Sciences, Soft Computing, and Fuzzy Logic in Engineering and Management and allied fields. The proposed book has immense value in the interdisciplinary and cross-disciplinary context. The present book covers various facets of Artificial Intelligence, Machine Learning and Fuzzy Logic. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Zustand: New. In English.

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Zustand: As New. Unread book in perfect condition.

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Hardcover. Zustand: New. New. book.

Paperback. Zustand: Brand New. reprint edition. 284 pages. 9.25x6.10x0.64 inches. In Stock.

Hardcover. Zustand: Brand New. 284 pages. 9.25x6.10x0.90 inches. In Stock.