Imputation Methods For Missing Hydrometeorological Data Estimation
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Imputation Methods For Missing Hydrometeorological Data Estimation
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Author : Ramesh S.V. Teegavarapu
language : en
Publisher: Springer Nature
Release Date : 2024-07-20
Imputation Methods For Missing Hydrometeorological Data Estimation written by Ramesh S.V. Teegavarapu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-20 with Science categories.
Missing data is a ubiquitous problem that plagues many hydrometeorological datasets. Objective and robust spatial and temporal imputation methods are needed to estimate missing data and create error-free, gap-free, and chronologically continuous data. This book is a comprehensive guide and reference for basic and advanced interpolation and data-driven methods for imputing missing hydrometeorological data. The book provides detailed insights into different imputation methods, such as spatial and temporal interpolation, universal function approximation, and data mining-assisted imputation methods. It also introduces innovative spatial deterministic and stochastic methods focusing on the objective selection of control points and optimal spatial interpolation. The book also extensively covers emerging machine learning techniques that can be used in spatial and temporal interpolation schemes and error and performance measures for assessing interpolation methods and validating imputed data. The book demonstrates practical applications of these methods to real-world hydrometeorological data. It will cater to the needs of a broad spectrum of audiences, from graduate students and researchers in climatology and hydrological and earth sciences to water engineering professionals from governmental agencies and private entities involved in the processing and use of hydrometeorological and climatological data.
Advancing Technology Industrialization Through Intelligent Software Methodologies Tools And Techniques
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Author : H. Fujita
language : en
Publisher: IOS Press
Release Date : 2019-09-17
Advancing Technology Industrialization Through Intelligent Software Methodologies Tools And Techniques written by H. Fujita and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-17 with Computers categories.
Software has become ever more crucial as an enabler, from daily routines to important national decisions. But from time to time, as society adapts to frequent and rapid changes in technology, software development fails to come up to expectations due to issues with efficiency, reliability and security, and with the robustness of methodologies, tools and techniques not keeping pace with the rapidly evolving market. This book presents the proceedings of SoMeT_19, the 18th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, held in Kuching, Malaysia, from 23–25 September 2019. The book explores new trends and theories that highlight the direction and development of software methodologies, tools and techniques, and aims to capture the essence of a new state of the art in software science and its supporting technology, and to identify the challenges that such a technology will have to master. The book also investigates other comparable theories and practices in software science, including emerging technologies, from their computational foundations in terms of models, methodologies, and tools. The 56 papers included here are divided into 5 chapters: Intelligent software systems design and techniques in software engineering; Machine learning techniques for software systems; Requirements engineering, software design and development techniques; Software methodologies, tools and techniques for industry; and Knowledge science and intelligent computing. This comprehensive overview of information systems and research projects will be invaluable to all those whose work involves the assessment and solution of real-world software problems.
Advances And Trends In Artificial Intelligence From Theory To Practice
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Author : Franz Wotawa
language : en
Publisher: Springer
Release Date : 2019-06-28
Advances And Trends In Artificial Intelligence From Theory To Practice written by Franz Wotawa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, held in Graz, Austria, in July 2019. The 41 full papers and 32 short papers presented were carefully reviewed and selected from 151 submissions. The IEA/AIE 2019 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include engineering, science, industry, automation and robotics, business and finance, medicine and biomedicine, bioinformatics, cyberspace, and human-machine interactions. IEA/AIE 2019 will have a special focus on automated driving and autonomous systems and also contributions dealing with such systems or their verification and validation as well.
Trends And Changes In Hydroclimatic Variables
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Author : Ramesh Teegavarapu
language : en
Publisher: Elsevier
Release Date : 2018-09-14
Trends And Changes In Hydroclimatic Variables written by Ramesh Teegavarapu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-14 with Science categories.
Trends and Changes in Hydroclimatic Variables: Links to Climate Variability and Change discusses the change detection and trend analysis methods used to assess hydroclimatic variables in a changing climate. Changes and trends in hydroclimatic variables are assessed using state-of-the-art methods, such as non-linear trend estimation (including spline smoothing and local regression) and handling persistence (or serial auto-correlation in data) for assessing trends in different hydroclimatic variables (e.g. pre-whitening methods). This book offers a variety of real-life case studies and problem-solving techniques for a field that is rapidly evolving. Users will find methods to evaluate points where time series characteristics change and non-homogeneity in time series. In addition, it covers the subject of climate variability and change in an immense level of detail, including changes on precipitation, streamflow and sea levels. - Examines statistical methods for trend analysis, providing an excellent reference book for scholars, scientists, students and professionals - Offers an exhaustive treatment of several hydroclimatic variables in one book, providing readers with a comprehensive understanding of changes in hydroclimatic variables over time and space - Presents case studies dealing with changes in hydroclimatic variables in different geographical regions of the world - Focuses on climate variability and change, including an extensive assessment of trends and their associated links to climate variability and change
A Methodology For Estimating Disaster Induced Crop And Livestock Losses At The Global Scale
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Author : Rajagopalan, P., Laske, E., Zaidi, Z., Boero, V.
language : en
Publisher: Food & Agriculture Org.
Release Date : 2023-10-13
A Methodology For Estimating Disaster Induced Crop And Livestock Losses At The Global Scale written by Rajagopalan, P., Laske, E., Zaidi, Z., Boero, V. and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-13 with Technology & Engineering categories.
Agriculture is particularly vulnerable to extreme climatic events, yet knowledge is lacking regarding the precise extent of losses caused by disasters in the sector. This analysis aims to provide the most extensive estimation of disaster losses (including non-hydrometeorological disasters) in the agricultural sector worldwide by including data from 197 countries and 186 commodities from 1991 to 2021, accounting for 12 000 time series and about 9 000 disaster events. The disaster events data is drawn from the Emergency Events Database (EM-DAT) and the records of yields, productions, cultivated areas, and prices for all commodities over the period from FAOSTAT.
Broadening The Use Of Machine Learning In Hydrology
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Author : Chaopeng Shen
language : en
Publisher: Frontiers Media SA
Release Date : 2021-07-08
Broadening The Use Of Machine Learning In Hydrology written by Chaopeng Shen and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-08 with Science categories.
Soft Computing In Data Science
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Author : Michael W. Berry
language : en
Publisher: Springer Nature
Release Date : 2019-09-23
Soft Computing In Data Science written by Michael W. Berry and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-23 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Conference on Soft Computing in Data Science, SCDS 2019, held in Iizuka, Japan, in August 2019. The 30 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on information and customer analytics; visual data science; machine and deep learning; big data analytics; computational and artificial intelligence; social network and media analytics.
Metaheuristic Algorithms And Neural Networks In Hydrology
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Author : Kuok King Kuok
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2024-08-28
Metaheuristic Algorithms And Neural Networks In Hydrology written by Kuok King Kuok and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Science categories.
This book summarizes the latest research and developments related to the application of nature-inspired metaheuristic algorithms coupled with artificial neural networks (ANNs) in hydrology. The book covers the theoretical foundations, models and methods, structure, frameworks and analysis of applying novel ANNs in hydrology. It starts with the introduction of ANNs as a black box model, followed by the coupling of various metaheuristic algorithms with ANNs to form novel neural network models for solving real-world problems in hydrology, including Particle Swarm Optimization (PSO) for rainfall-runoff modeling, Bat Optimization (Bat) and Cuckoo Search Optimization (CSO) for future rainfall prediction, the Whale Optimization Algorithm (WOA) and Salp Swarm Optimization (SSO) for future water level prediction, Grey Wolf Optimization (GWO), Multi-Verse Optimization (MVO), the Sine Cosine Algorithm (SCA) and the Hybrid Sine Cosine and Fitness Dependent Optimizer (SC-FDO) for imputing missing rainfall data.
Recent Advances In Soft Computing And Data Mining
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Author : Rozaida Ghazali
language : en
Publisher: Springer Nature
Release Date : 2022-05-03
Recent Advances In Soft Computing And Data Mining written by Rozaida Ghazali and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-03 with Technology & Engineering categories.
This book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It offers practical views of the concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad spectrum, an interdisciplinary field of scientific methods and processes. The book, Recent Advances in Soft Computing and Data Mining, delivers sufficient knowledge to tackle a wide range of issues seen in complex systems. This is done by exploring a vast combination of practices and applications by incorporating these two domains. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must choose the best design to approach the problem with the most efficient tools and techniques. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must understand the design choice and options of these approaches, thus to better appreciate the concepts, tools, and techniques used.
Springer Handbook Of Atmospheric Measurements
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Author : Thomas Foken
language : en
Publisher: Springer Nature
Release Date : 2021-11-09
Springer Handbook Of Atmospheric Measurements written by Thomas Foken and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-09 with Science categories.
This practical handbook provides a clearly structured, concise and comprehensive account of the huge variety of atmospheric and related measurements relevant to meteorologists and for the purpose of weather forecasting and climate research, but also to the practitioner in the wider field of environmental physics and ecology. The Springer Handbook of Atmospheric Measurements is divided into six parts: The first part offers instructive descriptions of the basics of atmospheric measurements and the multitude of their influencing factors, fundamentals of quality control and standardization, as well as equations and tables of atmospheric, water, and soil quantities. The subsequent parts present classical in-situ measurements as well as remote sensing techniques from both ground-based as well as airborn or satellite-based methods. The next part focusses on complex measurements and methods that integrate different techniques to establish more holistic data. Brief discussions of measurements in soils and water, at plants, in urban and rural environments and for renewable energies demonstrate the potential of such applications. The final part provides an overview of atmospheric and ecological networks. Written by distinguished experts from academia and industry, each of the 64 chapters provides in-depth discussions of the available devices with their specifications, aspects of quality control, maintenance as well as their potential for the future. A large number of thoroughly compiled tables of physical quantities, sensors and system characteristics make this handbook a unique, universal and useful reference for the practitioner and absolutely essential for researchers, students, and technicians.