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Data Driven Modeling Using Matlab In Water Resources And Environmental Engineering


Data Driven Modeling Using Matlab In Water Resources And Environmental Engineering
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Data Driven Modeling Using Matlab In Water Resources And Environmental Engineering


Data Driven Modeling Using Matlab In Water Resources And Environmental Engineering
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Author : Shahab Araghinejad
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-26

Data Driven Modeling Using Matlab In Water Resources And Environmental Engineering written by Shahab Araghinejad and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-26 with Science categories.


“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.



Matlab For Civil Engineers


Matlab For Civil Engineers
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Author : Dimitrios Sargiotis
language : en
Publisher: Springer Nature
Release Date : 2025-05-21

Matlab For Civil Engineers written by Dimitrios Sargiotis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Technology & Engineering categories.


This book is a comprehensive and rigorous guide to MATLAB for Civil Engineers, bridging the critical gap between theoretical mathematics and practical engineering solutions. With an approachable introduction for students and deep insights for experienced professionals, it caters to a wide range of audiences across civil engineering disciplines—environmental, structural, geotechnical, and transportation engineering. Structured to guide readers progressively, the book begins with foundational MATLAB operations such as syntax and matrix manipulation, then advances into sophisticated engineering applications, including optimization, numerical methods, and data visualization. It covers essential MATLAB functionalities, offering detailed instruction on computation, visualization, and programming, all within the context of solving real-world engineering challenges. What sets this book apart is its hands-on approach. Readers are immersed in practical learning through real-world case studies, examples, and step-by-step exercises designed to reinforce key concepts. The text provides both academic and professional readers with the tools they need to model, analyze, and optimize engineering systems using MATLAB, ensuring they are equipped to handle both routine and complex engineering challenges with confidence. By the end, readers will not only master MATLAB's powerful tools but will also understand how to apply them directly to critical civil engineering problems, positioning themselves to innovate and lead in a field where computational proficiency is increasingly essential.



Handbook Of Drought And Water Scarcity


Handbook Of Drought And Water Scarcity
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Author : Saeid Eslamian
language : en
Publisher: CRC Press
Release Date : 2017-08-02

Handbook Of Drought And Water Scarcity written by Saeid Eslamian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-02 with Science categories.


This volume include over 30 chapters, written by experts from around the world. It examines drought and all of the fundamental principles relating to drought and water scarcity. It includes coverage of the causes of drought, occurences, preparations, drought vulnerability assessments, societal implications, and more.



Matlab Recipes For Earth Sciences


Matlab Recipes For Earth Sciences
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Author : Martin H. Trauth
language : en
Publisher: Springer Nature
Release Date : 2020-12-02

Matlab Recipes For Earth Sciences written by Martin H. Trauth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Science categories.


MATLAB® is used in a wide range of geoscientific applications, e.g. for image processing in remote sensing, for creating and processing digital elevation models, and for analyzing time series. This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fifth Edition includes seven new sections, and the majority of the chapters have been rewritten and significantly expanded. New sections include error analysis, the problem of classical linear regression of log-transformed data, aligning stratigraphic sequences, the Normalized Difference Vegetation Index, Aitchison’s log-ratio transformation, graphical representation of spherical data, and statistics of spherical data. The book also includes numerous examples demonstrating how MATLAB can be used on datasets from the earth sciences. The supplementary electronic material (available online through SpringerLink) contains recipes that include all the MATLAB commands featured in the book and the sample data.



Dynamic Data Assimilation


Dynamic Data Assimilation
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Author : Dinesh G. Harkut
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-10-28

Dynamic Data Assimilation written by Dinesh G. Harkut and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-28 with Computers categories.


Data assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time. This book examines data assimilation methods including Kalman filtering, artificial intelligence, neural networks, machine learning, and cognitive computing.



Big Data Technologies And Applications


Big Data Technologies And Applications
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Author : Borko Furht
language : en
Publisher: Springer
Release Date : 2016-09-16

Big Data Technologies And Applications written by Borko Furht and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-16 with Computers categories.


The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.



New And Future Developments In Microbial Biotechnology And Bioengineering


New And Future Developments In Microbial Biotechnology And Bioengineering
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Author : Ali Asghar Rastegari
language : en
Publisher: Elsevier
Release Date : 2020-05-16

New And Future Developments In Microbial Biotechnology And Bioengineering written by Ali Asghar Rastegari and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-16 with Technology & Engineering categories.


New and Future Developments in Microbial Biotechnology and Bioengineering: Trends of Microbial Biotechnology for Sustainable Agriculture and Biomedicine Systems: Diversity and Functional Perspectives describes how specific techniques can be used to generalize the metabolism of bacteria that optimize biologic improvement strategies and bio-transport processes. Microbial biotechnology focuses on microbes of agricultural, environmental, industrial, and clinical significance. This volume discusses several methods based on molecular genetics, systems, and biology of synthetic, genomic, proteomic, and metagenomics. Recent developments in our understanding of the role of microbes in sustainable agriculture and biotechnology have created a highly potential research area. The soil and plant microbiomes have a significant role in plant growth promotion, crop yield, soil health and fertility for sustainable developments. The microbes provide nutrients and stimulate plant growth through different mechanisms, including solubilization of phosphorus, potassium, and zinc; biological nitrogen fixation; production of siderophore, ammonia, HCN and other secondary metabolites which are antagonistic against pathogenic microbes. This new book provides an indispensable reference source for engineers/bioengineers, biochemists, biotechnologists, microbiologists, agrochemists, and researchers who want to know about the unique properties of this microbe and explore its sustainable agriculture future applications. - Introduces the principles of microbial biotechnology and its application in plant growth and soil health for sustainable agriculture - Explores various plant microbiomes and their beneficial impact on plant growth for crop improvement - Explains the mechanisms of plant-microbe interaction and plant growth promotion - Includes current applications of microbial consortium for enhance production of crop in eco-friendly manners



Stochastic Modeling


Stochastic Modeling
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Author : Hossein Bonakdari
language : en
Publisher: Elsevier
Release Date : 2022-04-13

Stochastic Modeling written by Hossein Bonakdari and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-13 with Science categories.


Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software allows for new avenues in time series analysis and predictive modeling which summarize more than ten years of experience in the application of stochastic models in environmental problems. The book introduces a variety of different topics in time series in the modeling and prediction of complex environmental systems. Most importantly, all codes are user-friendly and readers will be able to use them for their cases. Users who may not be familiar with MATLAB software can also refer to the appendix. This book also guides the reader step-by-step to learn developed codes for time series modeling, provides required toolboxes, explains concepts, and applies different tools for different types of environmental time series problems. - Provides video tutorials on the use of codes - Includes a companion site with 3,000 lines of programming, 70 principal codes and 100 pseudo codes - Highlights multiple methods to Illustrate each problem



Water Resources And Environmental Engineering I


Water Resources And Environmental Engineering I
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Author : Maheswaran Rathinasamy
language : en
Publisher: Springer
Release Date : 2018-09-01

Water Resources And Environmental Engineering I written by Maheswaran Rathinasamy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-01 with Science categories.


The book is a compilation of the papers presented in the International Conference on Emerging Trends in Water Resources and Environmental Engineering (ETWREE 2017). The high quality papers are written by research scholars and academicians of prestigious institutes across India. The book discusses the challenges of water management due to misuse or abuse of water resources and the ever mounting challenges on use, reuse and conservation of water. It also discusses issues of water resources such as water quantity, quality, management and planning for the benefits of water resource scientists, faculties, policy makers, stake holders working in the water resources planning and management. The research content discussed in the book will be helpful for engineers to solve practical day to day problems related to water and environmental engineering.



Data Driven Methods For Civil Structural Health Monitoring And Resilience


Data Driven Methods For Civil Structural Health Monitoring And Resilience
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Author : Mohammad Noori
language : en
Publisher: CRC Press
Release Date : 2023-10-26

Data Driven Methods For Civil Structural Health Monitoring And Resilience written by Mohammad Noori and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-26 with Technology & Engineering categories.


Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers.