Simon Wing – författare

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5 produkter

Machine Learning Techniques for Space Weather
AvEnrico Camporeale,Simon Wingm. fl.
Häftad, Engelska, 2018
1 388 kr
Skickas inom 10-15 vardagar
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
AvJay Johnson,Simon Wingm. fl.
E-bok
Engelska, 2018
1 917 kr
Läs direkt efter köp
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
Magnetospheric Imaging
Understanding the Space Environment through Global Measurements
AvYaireska M. Collado-Vega,Dennis Gallagherm. fl.
Häftad, Engelska, 2021
1 489 kr
Skickas inom 10-15 vardagar
Magnetospheric Imaging: Understanding the Space Environment through Global Measurements is a state-of-the-art resource on new and advanced techniques and technologies used in measuring and examining the space environment on a global scale. Chapters detail this emergent field by exploring optical imaging, ultraviolet imaging, energetic neutral atom imaging, X-ray imaging, radio frequency imaging, and magnetic field imaging. Each technique is clearly described, with details about the technologies involved, how they work, and both their opportunities and limitations. Magnetospheric imaging is still a relatively young capability in magnetospheric research, hence this book is an ideal resource on this burgeoning field of study.

This book is a comprehensive resource for understanding where the field stands, as well as providing a stepping stone for continued advancement of the field, from developing new techniques, to applying techniques on other planetary bodies.
Summarizes and reviews significant progress in the field of magnetospheric imaging Covers all of the techniques and technologies available, including a basic overview of each, as well as what it can accomplish, how it works, what its limitations are, and how it might be improved Details ways for measuring the space environment on a global scale, what physical measurements various technologies can provide, and how they can be effectively used
Magnetospheric Imaging
Understanding the Space Environment through Global Measurements
AvSimon Wing,Harald Freym. fl.
E-bok
Engelska, 2021
2 063 kr
Läs direkt efter köp
Magnetospheric Imaging: Understanding the Space Environment through Global Measurements is a state-of-the-art resource on new and advanced techniques and technologies used in measuring and examining the space environment on a global scale. Chapters detail this emergent field by exploring optical imaging, ultraviolet imaging, energetic neutral atom imaging, X-ray imaging, radio frequency imaging, and magnetic field imaging. Each technique is clearly described, with details about the technologies involved, how they work, and both their opportunities and limitations. Magnetospheric imaging is still a relatively young capability in magnetospheric research, hence this book is an ideal resource on this burgeoning field of study.This book is a comprehensive resource for understanding where the field stands, as well as providing a stepping stone for continued advancement of the field, from developing new techniques, to applying techniques on other planetary bodies.- Summarizes and reviews significant progress in the field of magnetospheric imaging- Covers all of the techniques and technologies available, including a basic overview of each, as well as what it can accomplish, how it works, what its limitations are, and how it might be improved- Details ways for measuring the space environment on a global scale, what physical measurements various technologies can provide, and how they can be effectively used
Space Physics in the Context of Complex Systems Dynamics
AvGeorgios Balasis,Simon Wingm. fl.
Häftad, Engelska, 2027
1 689 kr
Kommande
Space Physics in the Context of Complex Systems Dynamics explores the intricate interplay between space physics and complex systems science, emphasizing their methodologies and applications. The introduction establishes the significance of understanding space phenomena within the framework of complex systems. It presents a brief overview of machine learning, highlighting its relevance to the analysis of complex data in space physics. The text contrasts systems science with complex systems science, exploring various methodologies, including information theory approaches and causal inference techniques. Chapters illustrate how these methodologies can be utilized to enhance our understanding of complex dynamics in space systems. In its application section, the book addresses practical opportunities such as improving space weather forecasting, elucidating the relationship between magnetic storms and magnetospheric storms, and investigating the drivers behind radiation belt dynamics. Additionally, it discusses the potential for scientific discovery on other planets, showcasing the expansive implications of these methodologies. The conclusion outlines future perspectives, emphasizing the continued integration of information theory and machine learning to advance research in space physics. This book ultimately underscores the value of interdisciplinary approaches in tackling the complex challenges presented by space phenomena, encouraging a deeper exploration of the cosmos through the lens of complex systems. It highlights the necessity of collaborative methodologies to foster innovation and understanding in the rapidly evolving field of space physics.Provides a comprehensive overview of complex systems techniques in the context of space physics, including information theory and causal inferenceEmphasizes nonlinear and complex dynamics, offering insight into advanced analytical approaches beyond traditional linear correlation analysisIntegrates methodologies from complex systems science to provide a holistic understanding of space physics systemsIncludes real-world applications such as space weather forecasting, magnetic storm-magnetospheric storm relationships, and drivers of radiation belt dynamicsExplores the synergy and integration possibilities between information theory and machine learning for enhanced data analysis and prediction in space sciences

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Simon Wing – författare

Machine Learning Techniques for Space Weather

Machine Learning Techniques for Space Weather

Magnetospheric Imaging

Magnetospheric Imaging

Space Physics in the Context of Complex Systems Dynamics

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