Machine Learning Techniques For Space Weather

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Machine Learning Techniques for Space Weather

Machine Learning Techniques for Space Weather
  • Author : Enrico Camporeale,Simon Wing,Jay Johnson
  • Publisher : Elsevier
  • Release Date : 2018-05-31
  • Total pages : 454
  • ISBN : 9780128117897
  • File Size : 22,7 Mb
  • Total Download : 204
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Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning community, offering a bridge between the fields. As this volume demonstrates, real advances in space weather can be gained using nontraditional approaches that take into account nonlinear and complex dynamics, including information theory, nonlinear auto-regression models, neural networks and clustering algorithms. Offering practical techniques for translating the huge amount of information hidden in data into useful knowledge that allows for better prediction, this book is a unique and important resource for space physicists, space weather professionals and computer scientists in related fields. Collects many representative non-traditional approaches to space weather into a single volume Covers, in an accessible way, the mathematical background that is not often explained in detail for space scientists Includes free software in the form of simple MATLAB® scripts that allow for replication of results in the book, also familiarizing readers with algorithms

Machine Learning Techniques for Space Weather

Machine Learning Techniques for Space Weather
  • Author : Enrico Camporeale,Simon Wing,Jay Johnson
  • Publisher : Unknown
  • Release Date : 2018-06
  • Total pages : 400
  • ISBN : 0128117885
  • File Size : 48,8 Mb
  • Total Download : 187
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Download Machine Learning Techniques for Space Weather in PDF, Epub, and Kindle

Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning community, offering a bridge between the fields. As this volume demonstrates, real advances in space weather can be gained using nontraditional approaches that take into account nonlinear and complex dynamics, including information theory, nonlinear auto-regression models, neural networks and clustering algorithms. Offering practical techniques for translating the huge amount of information hidden in data into useful knowledge that allows for better prediction, this book is a unique and important resource for space physicists, space weather professionals and computer scientists in related fields. Collects many representative non-traditional approaches to space weather into a single volume Covers, in an accessible way, the mathematical background that is not often explained in detail for space scientists Includes free software in the form of simple MATLAB(R) scripts that allow for replication of results in the book, also familiarizing readers with algorithms

Machine Learning in Heliophysics

Machine Learning in Heliophysics
  • Author : Thomas Berger,Enrico Camporeale,Bala Poduval,Veronique A. Delouille,Sophie A. Murray
  • Publisher : Frontiers Media SA
  • Release Date : 2021-11-24
  • Total pages : 240
  • ISBN : 9782889716715
  • File Size : 23,7 Mb
  • Total Download : 264
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PDF book entitled Machine Learning in Heliophysics written by Thomas Berger,Enrico Camporeale,Bala Poduval,Veronique A. Delouille,Sophie A. Murray and published by Frontiers Media SA which was released on 2021-11-24 with total hardcover pages 240, the book become popular and critical acclaim.

Magnetohydrodynamic Modeling of the Solar Corona and Heliosphere

Magnetohydrodynamic Modeling of the Solar Corona and Heliosphere
  • Author : Xueshang Feng
  • Publisher : Springer
  • Release Date : 2019-08-01
  • Total pages : 772
  • ISBN : 9789811390814
  • File Size : 13,5 Mb
  • Total Download : 495
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The book covers intimately all the topics necessary for the development of a robust magnetohydrodynamic (MHD) code within the framework of the cell-centered finite volume method (FVM) and its applications in space weather study. First, it presents a brief review of existing MHD models in studying solar corona and the heliosphere. Then it introduces the cell-centered FVM in three-dimensional computational domain. Finally, the book presents some applications of FVM to the MHD codes on spherical coordinates in various research fields of space weather, focusing on the development of the 3D Solar-InterPlanetary space-time Conservation Element and Solution Element (SIP-CESE) MHD model and its applications to space weather studies in various aspects. The book is written for senior undergraduates, graduate students, lecturers, engineers and researchers in solar-terrestrial physics, space weather theory, modeling, and prediction, computational fluid dynamics, and MHD simulations. It helps readers to fully understand and implement a robust and versatile MHD code based on the cell-centered FVM.

Coupled Feedback Mechanisms in the Magnetosphere-Ionosphere System

Coupled Feedback Mechanisms in the Magnetosphere-Ionosphere System
  • Author : Scott Alan Thaller,Jean-Francois Ripoll,Toshi Nishimura,Philip J. Erickson
  • Publisher : Frontiers Media SA
  • Release Date : 2022-11-14
  • Total pages : 342
  • ISBN : 9782832505564
  • File Size : 43,6 Mb
  • Total Download : 642
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PDF book entitled Coupled Feedback Mechanisms in the Magnetosphere-Ionosphere System written by Scott Alan Thaller,Jean-Francois Ripoll,Toshi Nishimura,Philip J. Erickson and published by Frontiers Media SA which was released on 2022-11-14 with total hardcover pages 342, the book become popular and critical acclaim.

The Dynamical Ionosphere

The Dynamical Ionosphere
  • Author : Massimo Materassi,Biagio Forte,Anthea J. Coster,Susan Skone
  • Publisher : Elsevier
  • Release Date : 2019-11-28
  • Total pages : 337
  • ISBN : 9780128147832
  • File Size : 42,9 Mb
  • Total Download : 615
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The Dynamical Ionosphere: A Systems Approach to Ionospheric Irregularity examines the Earth’s ionosphere as a dynamical system with signatures of complexity. The system is robust in its overall configuration, with smooth space-time patterns of daily, seasonal and Solar Cycle variability, but shows a hierarchy of interactions among its sub-systems, yielding apparent unpredictability, space-time irregularity, and turbulence. This interplay leads to the need for constructing realistic models of the average ionosphere, incorporating the increasing knowledge and predictability of high variability components, and for addressing the difficulty of dealing with the worst cases of ionospheric disturbances, all of which are addressed in this interdisciplinary book. Borrowing tools and techniques from classical and stochastic dynamics, information theory, signal processing, fluid dynamics and turbulence science, The Dynamical Ionosphere presents the state-of-the-art in dealing with irregularity, forecasting ionospheric threats, and theoretical interpretation of various ionospheric configurations. Presents studies addressing Earth’s ionosphere as a complex dynamical system, including irregularities and radio scintillation, ionospheric turbulence, nonlinear time series analysis, space-ionosphere connection, and space-time structures Utilizes interdisciplinary tools and techniques, such as those associated with stochastic dynamics, information theory, signal processing, fluid dynamics and turbulence science Offers new data-driven models for different ionospheric variability phenomena Provides a synoptic view of the state-of-the-art and most updated theoretical interpretation, results and data analysis tools of the "worst case" behavior in ionospheric configurations

Space Physics and Aeronomy, Solar Physics and Solar Wind

Space Physics and Aeronomy, Solar Physics and Solar Wind
  • Author : Angelos Vourlidas,Nour E. Raouafi
  • Publisher : John Wiley & Sons
  • Release Date : 2021-04-14
  • Total pages : 320
  • ISBN : 9781119815488
  • File Size : 47,7 Mb
  • Total Download : 385
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A comprehensive view of our Sun at the start of a new era in solar and heliospheric physics Humans have been observing and studying our Sun for centuries, yet much is still unknown about the processes that drive its behavior. Thanks to a new generation of space missions and ground telescopes, we are poised to dramatically increase our understanding of the Sun and its environment. Solar Physics and Solar Wind explores advances in solar and heliospheric research over recent decades, as well as the challenges that remain. This comprehensive reference work covers the solar interior, magnetism and radiation, plasma heating and acceleration, the sun's atmosphere, and solar activity. Volume highlights include: Explanations for processes in the solar interior New insights on the solar wind The challenges of measuring the Sun's magnetic field and its radiative output Description of solar atmospheric phenomena such as spicules and jets New developments in understanding flares and coronal mass ejections Ongoing research into how the solar corona is heated The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Find out more about the Space Physics and Aeronomy collection in this Q&A with the Editors in Chief

Space Physics and Aeronomy, Magnetospheres in the Solar System

Space Physics and Aeronomy, Magnetospheres in the Solar System
  • Author : Romain Maggiolo,Nicolas André,Hiroshi Hasegawa,Daniel T. Welling
  • Publisher : John Wiley & Sons
  • Release Date : 2021-04-14
  • Total pages : 800
  • ISBN : 9781119829980
  • File Size : 18,9 Mb
  • Total Download : 869
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Überblick über den aktuellen Wissensstand und künftige Forschungsrichtungen in der Magnetosphärenphysik In den sechs Jahrzehnten seit der Einführung des Begriffs ?Magnetosphäre? sind über den magnetisierten Raum, der jeden Körper in unserem Sonnensystem umgibt, viele Theorien entstanden und viele Erkenntnisse gewonnen worden. Jede Magnetosphäre ist einzigartig und verhält sich doch entsprechend den universellen physikalischen Vorgängen. Der Band ?Magnetospheres in the Solar System? enthält Beiträge von Experten für Experimentalphysik, theoretische Physik und numerische Modellierung, die einen Überblick über verschiedene Magnetosphären vermitteln, von der winzigen Magnetosphäre des Merkur bis zu den gewaltigen planetarischen Magnetosphären von Jupiter und Saturn. Das Werk bietet insbesondere: * Einen kompakten Überblick über die Geschichte der Magnetosphäre, ihre Grundsätze und Gleichungen * Eine Zusammenfassung der grundlegenden Prozesse in der Magnetospährenphysik * Instrumente und Techniken zur Untersuchung von Prozessen in der Magnetosphäre * Eine besondere Schwerpunktsetzung auf die Magnetosphäre der Erde und ihre Dynamik * Eine Darstellung der planetaren Magnetfelder und Magnetosphären im gesamten Sonnensystem * Eine Definition der künftigen Forschungsrichtungen in der Magnetosphärenphysik Die Amerikanische Geophysikalische Vereinigung fördert die wissenschaftliche Erforschung der Erde und des Weltraums zum Wohle der Menschheit. In ihren Publikationen werden wissenschaftliche Erkenntnisse veröffentlicht, die Forschern, Studenten und Fachkräften zur Verfügung stehen.

Advances in Computational Intelligence

Advances in Computational Intelligence
  • Author : Ignacio Rojas,Gonzalo Joya,Andreu Catala
  • Publisher : Springer
  • Release Date : 2019-06-05
  • Total pages : 940
  • ISBN : 9783030205218
  • File Size : 35,8 Mb
  • Total Download : 621
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This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.

Hands-On Big Data Modeling

Hands-On Big Data Modeling
  • Author : James Lee,Tao Wei,Suresh Kumar Mukhiya
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-11-30
  • Total pages : 306
  • ISBN : 9781788626088
  • File Size : 18,9 Mb
  • Total Download : 195
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Solve all big data problems by learning how to create efficient data models Key FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.

Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing
  • Author : Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
  • Publisher : Springer Nature
  • Release Date : 2023-01-23
  • Total pages : 414
  • ISBN : 9783031234804
  • File Size : 30,9 Mb
  • Total Download : 555
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The two-volume set LNAI 13588 and 13589 constitutes the refereed post-conference proceedings of the 21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022, held in Zakopane, Poland, during June 19–23, 2022. The 69 revised full papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The papers are organized in the following topical sections: Volume I: Neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation. Volume II: Computer vision, image and speech analysis; data mining; various problems of artificial intelligence; bioinformatics, biometrics and medical applications.

Advances in Parallel Computing Algorithms, Tools and Paradigms

Advances in Parallel Computing Algorithms, Tools and Paradigms
  • Author : D.J. Hemanth,T.N. Nguyen,J. Indumathi
  • Publisher : IOS Press
  • Release Date : 2022-11-23
  • Total pages : 670
  • ISBN : 9781643683157
  • File Size : 15,9 Mb
  • Total Download : 364
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Recent developments in parallel computing for various fields of application are providing improved solutions for handling data. These newer, innovative ideas offer the technical support necessary to enhance intellectual decisions, while also dealing more efficiently with the huge volumes of data currently involved. This book presents the proceedings of ICAPTA 2022, the International Conference on Advances in Parallel Computing Technologies and Applications, hosted as a virtual conference from Bangalore, India, on 27 and 28 January 2022. The aim of the conference was to provide a forum for the sharing of knowledge about various aspects of parallel computing in communications systems and networking, including cloud and virtualization solutions, management technologies and vertical application areas. The conference also provided a premier platform for scientists, researchers, practitioners and academicians to present and discuss their most recent innovations, trends and concerns, as well as the practical challenges encountered in this field. More than 300 submissions were received for the conference, from which the 91 full-length papers presented here were accepted after review by a panel of subject experts. Topics covered include parallel computing in communication, machine learning intelligence for parallel computing and parallel computing for software services in theoretical and practical aspects. Providing an overview of recent developments in the field, the book will be of interest to all those whose work involves the use of parallel computing technologies.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques
  • Author : Xiaofei He,Xinbo Gao,Yanning Zhang,Zhi-Hua Zhou,Zhi-Yong Liu,Baochuan Fu,Fuyuan Hu,Zhancheng Zhang
  • Publisher : Springer
  • Release Date : 2015-10-13
  • Total pages : 627
  • ISBN : 9783319238623
  • File Size : 32,5 Mb
  • Total Download : 717
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The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.

Evolution in Computational Intelligence

Evolution in Computational Intelligence
  • Author : Vikrant Bhateja,Sheng-Lung Peng,Suresh Chandra Satapathy,Yu-Dong Zhang
  • Publisher : Springer Nature
  • Release Date : 2020-09-08
  • Total pages : 797
  • ISBN : 9789811557880
  • File Size : 43,9 Mb
  • Total Download : 569
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This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2). Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.

Interpretable Machine Learning

Interpretable Machine Learning
  • Author : Christoph Molnar
  • Publisher : Lulu.com
  • Release Date : 2020
  • Total pages : 320
  • ISBN : 9780244768522
  • File Size : 28,9 Mb
  • Total Download : 917
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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Automated Prediction of Solar Flares

Automated Prediction of Solar Flares
  • Author : Tufan Colak,Rami Qahwaji
  • Publisher : LAP Lambert Academic Publishing
  • Release Date : 2010-07-01
  • Total pages : 128
  • ISBN : 3838370309
  • File Size : 27,8 Mb
  • Total Download : 166
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As we rely more on satellites, communication systems and space research, the importance of space weather is increasing continuously. There are many space missions and ground based observatories providing continuous observation of the Sun at many different wavelengths to supply the demand for space weather forecast and research. All the forecasting strategies highly depend on experience of solar physicists and done manually. The results differ from observatories to observatories and subjective. There is a need for automated analysis of Sun and space weather forecasting. The solar activity is the driver of space weather. Thus it is important to be able to predict the violent eruptions such as coronal mass ejections and solar flares. In this book a hybrid system combining image processing and machine learning techniques for the automated short-term prediction of solar flares is presented. The system can also detect, group, and classify sunspots using solar images. The algorithms, implementation, and results are explained in this work.

Open Science by Design

Open Science by Design
  • Author : National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Board on Research Data and Information,Committee on Toward an Open Science Enterprise
  • Publisher : National Academies Press
  • Release Date : 2018-09-09
  • Total pages : 233
  • ISBN : 9780309476249
  • File Size : 9,8 Mb
  • Total Download : 353
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Openness and sharing of information are fundamental to the progress of science and to the effective functioning of the research enterprise. The advent of scientific journals in the 17th century helped power the Scientific Revolution by allowing researchers to communicate across time and space, using the technologies of that era to generate reliable knowledge more quickly and efficiently. Harnessing today's stunning, ongoing advances in information technologies, the global research enterprise and its stakeholders are moving toward a new open science ecosystem. Open science aims to ensure the free availability and usability of scholarly publications, the data that result from scholarly research, and the methodologies, including code or algorithms, that were used to generate those data. Open Science by Design is aimed at overcoming barriers and moving toward open science as the default approach across the research enterprise. This report explores specific examples of open science and discusses a range of challenges, focusing on stakeholder perspectives. It is meant to provide guidance to the research enterprise and its stakeholders as they build strategies for achieving open science and take the next steps.

Will AI Dictate The Future?

Will AI Dictate The Future?
  • Author : Dr. Anton Ravindran
  • Publisher : Marshall Cavendish International Asia Pte Ltd
  • Release Date : 2022-05-15
  • Total pages : 229
  • ISBN : 9789815066814
  • File Size : 44,7 Mb
  • Total Download : 174
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Artificial Intelligence will either be the best or worst thing to happen to humanity. We do not yet know which. – Stephen Hawking As AI becomes more pervasive in every aspect of human life, there is an urgent need to understand it and harness it in a way that benefits mankind. But where do we begin? Will AI Dictate the Future breaks down this complex subject by examining AI’s impact on key sectors of our societies. Each chapter delves into one sector in turn, probing the myriad risks and opportunities brought about by AI: Healthcare Law Manufacturing Cybersecurity Mobility Financial Services Education Satellite Systems Government Written by Dr Anton Ravindran, together with chapters contributed by leading experts in their fields, this invaluable book provides a clear, comprehensive and authoritative look at how AI – managed wisely – can change the world for the better.

Patterns Identification and Data Mining in Weather and Climate

Patterns Identification and Data Mining in Weather and Climate
  • Author : Abdelwaheb Hannachi
  • Publisher : Springer Nature
  • Release Date : 2021-05-06
  • Total pages : 600
  • ISBN : 9783030670733
  • File Size : 33,7 Mb
  • Total Download : 120
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Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets has gone through an extraordinary fast development, both in terms of new insights and the breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight in the field but has himself made several contributions to new developments in the last 15 years. - Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that weather and climate science is producing ever larger and richer data sets, the topic of pattern extraction and interpretation has become an essential part. This book provides an up to date overview of the latest techniques and developments in this area. - Maarten Ambaum, Department of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of ground, ranging from classical linear pattern identification techniques to more modern machine learning, illustrated with examples from weather & climate science. It will be very valuable both as a tutorial for graduate and postgraduate students and as a reference text for researchers and practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K.

Progress Toward Implementation of the 2013 Decadal Survey for Solar and Space Physics

Progress Toward Implementation of the 2013 Decadal Survey for Solar and Space Physics
  • Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Space Studies Board,Committee on the Review of Progress Toward Implementing the Decadal Survey â¬" Solar and Space Physics: A Science for a Technological Society
  • Publisher : National Academies Press
  • Release Date : 2020-06-29
  • Total pages : 188
  • ISBN : 9780309671309
  • File Size : 53,9 Mb
  • Total Download : 442
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The 2013 report Solar and Space Physics; A Science for a Technological Society outlined a program of basic and applied research for the period 2013-2022. This publication describes the most significant scientific discoveries, technical advances, and relevant programmatic changes in solar and space physics since the publication of that decadal survey. Progress Toward Implementation of the 2013 Decadal Survey for Solar and Space Physics assesses the degree to which the programs of the National Science Foundation and the National Aeronautics and Space Administration address the strategies, goals, and priorities outlined in the 2013 decadal survey, and the progress that has been made in meeting those goals. This report additionally considers steps to enhance career opportunities in solar and space physics and recommends actions that should be undertaken to prepare for the next decadal survey.

Soft Computing in Industrial Applications

Soft Computing in Industrial Applications
  • Author : Ashraf Saad,Erel Avineri,Keshav Dahal,Muhammad Sarfraz,Rajkumar Roy
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-05-11
  • Total pages : 332
  • ISBN : 9783540707042
  • File Size : 54,5 Mb
  • Total Download : 193
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Here is a collection of papers presented at the 11th On-line World Conference on Soft Computing in Industrial Applications, held in September-October 2006. This carefully edited book provides a comprehensive overview of recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization.