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Machine Learning In Heliophysics


Machine Learning In Heliophysics
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Machine Learning In Heliophysics


Machine Learning In Heliophysics
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Author : Thomas Berger
language : en
Publisher: Frontiers Media SA
Release Date : 2021-11-24

Machine Learning In Heliophysics written by Thomas Berger 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 2021-11-24 with Science categories.




Machine Learning Techniques For Space Weather


Machine Learning Techniques For Space Weather
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Author : Enrico Camporeale
language : en
Publisher: Elsevier
Release Date : 2018-05-31

Machine Learning Techniques For Space Weather written by Enrico Camporeale and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-31 with Science categories.


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



Artificial Intelligence For Space Ai4space


Artificial Intelligence For Space Ai4space
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Author : Matteo Madi
language : en
Publisher: CRC Press
Release Date : 2023-12-18

Artificial Intelligence For Space Ai4space written by Matteo Madi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-18 with Science categories.


The new age space value chain is a complex interconnected system with diverse actors, which involves cross-sector and cross-border collaborations. This book helps to enrich the knowledge of Artificial Intelligence (AI) across the value chain in the space-related domains. Advancements of AI and Machine Learning have impactfully supported the space sector transformation as it is shown in the book. "This book embarks on a journey through the fascinating realm of AI in space, exploring its profound implications, emerging trends, and transformative potential." Prof. Dr. Oliver Ullrich - Director Innovation Cluster Space and Aviaton (UZH Space Hub), University of Zurich, Switzerland Aimed at space engineers, risk analysts, policy makers, technical experts and non-specialists, this book demonstrates insights into the implementation of AI in the space sector, alongside its limitations and use-case examples. It covers diverse AI-related topics applicable to space technologies or space big data such as AI-based technologies for improving Earth Observation big data, AI for space robotics exploration, AI for astrophysics, AI for emerging in-orbit servicing market, and AI for space tourism safety improvement. Key Features: Provides an interdisciplinary approach, with chapter contributions from expert teams working in the governmental or private space sectors, with valuable contributions from computer scientists and legal experts Presents insights into AI implementation and how to unlock AI technologies in the field Up-to-date with the latest developments and cutting-edge applications



Applications Of Statistical Methods And Machine Learning In The Space Sciences


Applications Of Statistical Methods And Machine Learning In The Space Sciences
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Author : Bala Poduval
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-12

Applications Of Statistical Methods And Machine Learning In The Space Sciences written by Bala Poduval 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 2023-04-12 with Science categories.




The Dynamical Ionosphere


The Dynamical Ionosphere
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Author : Massimo Materassi
language : en
Publisher: Elsevier
Release Date : 2019-11-28

The Dynamical Ionosphere written by Massimo Materassi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Science categories.


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



Data Analysis For The Geosciences


Data Analysis For The Geosciences
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Author : Michael W. Liemohn
language : en
Publisher: John Wiley & Sons
Release Date : 2023-10-31

Data Analysis For The Geosciences written by Michael W. Liemohn and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-31 with Science categories.


An initial course in scientific data analysis and hypothesis testing designed for students in all science, technology, engineering, and mathematics disciplines Data Analysis for the Geosciences: Essentials of Uncertainty, Comparison, and Visualization is a textbook for upper-level undergraduate STEM students, designed to be their statistics course in a degree program. This volume provides a comprehensive introduction to data analysis, visualization, and data-model comparisons and metrics, within the framework of the uncertainty around the values. It offers a learning experience based on real data from the Earth, ocean, atmospheric, space, and planetary sciences. About this volume: Serves as an initial course in scientific data analysis and hypothesis testing Focuses on the methods of data processing Introduces a wide range of analysis techniques Describes the many ways to compare data with models Centers on applications rather than derivations Explains how to select appropriate statistics for meaningful decisions Explores the importance of the concept of uncertainty Uses examples from real geoscience observations Homework problems at the end of chapters 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.



Snakes On A Spaceship An Overview Of Python In Space Physics


Snakes On A Spaceship An Overview Of Python In Space Physics
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Author : Angeline G. Burrell
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-20

Snakes On A Spaceship An Overview Of Python In Space Physics written by Angeline G. Burrell 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 2023-07-20 with Science categories.




Applying Machine Learning To Heliophysics Problems To Broaden Space Weather Understanding


Applying Machine Learning To Heliophysics Problems To Broaden Space Weather Understanding
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Author : Teo Bloch
language : en
Publisher:
Release Date : 2021

Applying Machine Learning To Heliophysics Problems To Broaden Space Weather Understanding written by Teo Bloch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.




Open Source Software Policy Options For Nasa Earth And Space Sciences


Open Source Software Policy Options For Nasa Earth And Space Sciences
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2018-12-27

Open Source Software Policy Options For Nasa Earth And Space Sciences written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-27 with Science categories.


Modern science is ever more driven by computations and simulations. In particular, the state of the art in space and Earth science often arises from complex simulations of climate, space weather, and astronomical phenomena. At the same time, scientific work requires data processing, presentation, and analysis through broadly available proprietary and community software.1 Implicitly or explicitly, software is central to science. Scientific discovery, understanding, validation, and interpretation are all enhanced by access to the source code of the software used by scientists. This report investigates and recommends options for NASA's Science Mission Directorate (SMD) as it considers how to establish a policy regarding open source software to complement its existing policy on open data. In particular, the report reviews existing data and software policies and the lessons learned from the implementation of those policies, summarizes community perspectives, and presents policy options and recommendations for implementing an open source software policy for NASA SMD.



The Recent Advances In Transdisciplinary Data Science


The Recent Advances In Transdisciplinary Data Science
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Author : Henry Han
language : en
Publisher: Springer Nature
Release Date : 2023-01-28

The Recent Advances In Transdisciplinary Data Science written by Henry Han and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-28 with Computers categories.


This book constitutes the refereed proceedings of the First Southwest Data Science Conference, on The Recent Advances in Transdisciplinary Data Science, SDSC 2022, held in Waco, TX, USA, during March 25–26, 2022. The 14 full papers and 2 short papers included in this book were carefully reviewed and selected from 72 submissions. They were organized in topical sections as follows: Business and social data science; Health and biological data science; Applied data science, artificial intelligence, and data engineering.