Deep Learning In Solar Astronomy

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Deep Learning In Solar Astronomy

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Author : Long Xu
language : en
Publisher: Springer Nature
Release Date : 2022-05-27

Deep Learning In Solar Astronomy written by Long Xu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-27 with Science categories.

The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will be entering the age of petabyte solar data. Deep learning has been an invaluable tool exploited to efficiently extract key information from the massive solar observation data, to solve the tasks of data archiving/classification, object detection and recognition. Astronomical study starts with imaging from recorded raw data, followed by image processing, such as image reconstruction, inpainting and generation, to enhance imaging quality. We study deep learning for solar image processing. First, image deconvolution is investigated for synthesis aperture imaging. Second, image inpainting is explored to repair over-saturated solar image due to light intensity beyond threshold of optical lens. Third, image translation among UV/EUV observation of the chromosphere/corona, Ha observation of the chromosphere and magnetogram of the photosphere is realized by using GAN, exhibiting powerful image domain transfer ability among multiple wavebands and different observation devices. It can compensate the lack of observation time or waveband. In addition, time series model, e.g., LSTM, is exploited to forecast solar burst and solar activity indices. This book presents a comprehensive overview of the deep learning applications in solar astronomy. It is suitable for the students and young researchers who are major in astronomy and computer science, especially interdisciplinary research of them.

Machine Learning For Small Bodies In The Solar System

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Author : Valerio Carruba
language : en
Publisher: Elsevier
Release Date : 2024-10-29

Machine Learning For Small Bodies In The Solar System written by Valerio Carruba and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Science categories.

Machine Learning for Small Bodies in the Solar System provides the latest developments and methods in applications of Machine Learning (ML) and Artificial Intelligence (AI) to different aspects of Solar System bodies, including dynamics, physical properties, and detection algorithms. Offering a practical approach, the book encompasses a wide range of topics, providing both readers with essential tools and insights for use in researching asteroids, comets, moons, and Trans-Neptunian objects. The inclusion of codes and links to publicly available repositories further facilitates hands-on learning, enabling readers to put their newfound knowledge into practice. Machine Learning for Small Bodies in the Solar System serves as an invaluable reference for researchers working in the broad fields of Solar System bodies; both seasoned researchers seeking to enhance their understanding of ML and AI in the context of Solar System exploration or those just stepping into the field looking for direction on methodologies and techniques to apply ML and AI in their work. - Provides a practical reference to applications of machine learning and artificial intelligence to small bodies in the Solar System - Approaches the topic from a multidisciplinary perspective, with chapters on dynamics, physical properties and software development - Includes code and links to publicly available repositories to allow readers practice the methodology covered

Machine Learning For Physics And Astronomy

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Author : Viviana Acquaviva
language : en
Publisher: Princeton University Press
Release Date : 2023-08-15

Machine Learning For Physics And Astronomy written by Viviana Acquaviva and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-15 with Computers categories.

A hands-on introduction to machine learning and its applications to the physical sciences As the size and complexity of data continue to grow exponentially across the physical sciences, machine learning is helping scientists to sift through and analyze this information while driving breathtaking advances in quantum physics, astronomy, cosmology, and beyond. This incisive textbook covers the basics of building, diagnosing, optimizing, and deploying machine learning methods to solve research problems in physics and astronomy, with an emphasis on critical thinking and the scientific method. Using a hands-on approach to learning, Machine Learning for Physics and Astronomy draws on real-world, publicly available data as well as examples taken directly from the frontiers of research, from identifying galaxy morphology from images to identifying the signature of standard model particles in simulations at the Large Hadron Collider. Introduces readers to best practices in data-driven problem-solving, from preliminary data exploration and cleaning to selecting the best method for a given task Each chapter is accompanied by Jupyter Notebook worksheets in Python that enable students to explore key concepts Includes a wealth of review questions and quizzes Ideal for advanced undergraduate and early graduate students in STEM disciplines such as physics, computer science, engineering, and applied mathematics Accessible to self-learners with a basic knowledge of linear algebra and calculus Slides and assessment questions (available only to instructors)

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.

Big Data In Astronomy

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Author : Linghe Kong
language : en
Publisher: Elsevier
Release Date : 2020-06-13

Big Data In Astronomy written by Linghe Kong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-13 with Science categories.

Big Data in Radio Astronomy: Scientific Data Processing for Advanced Radio Telescopes provides the latest research developments in big data methods and techniques for radio astronomy. Providing examples from such projects as the Square Kilometer Array (SKA), the world's largest radio telescope that generates over an Exabyte of data every day, the book offers solutions for coping with the challenges and opportunities presented by the exponential growth of astronomical data. Presenting state-of-the-art results and research, this book is a timely reference for both practitioners and researchers working in radio astronomy, as well as students looking for a basic understanding of big data in astronomy. - Bridges the gap between radio astronomy and computer science - Includes coverage of the observation lifecycle as well as data collection, processing and analysis - Presents state-of-the-art research and techniques in big data related to radio astronomy - Utilizes real-world examples, such as Square Kilometer Array (SKA) and Five-hundred-meter Aperture Spherical radio Telescope (FAST)

The Magnetic Structures And Their Role In The Evolution Of Coronal Mass Ejections

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Author : Qiang Hu
language : en
Publisher: Frontiers Media SA
Release Date : 2022-02-09

The Magnetic Structures And Their Role In The Evolution Of Coronal Mass Ejections written by Qiang Hu 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 2022-02-09 with Science categories.

Proceedings Of Fifth Doctoral Symposium On Computational Intelligence

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Author : Abhishek Swaroop
language : en
Publisher: Springer Nature
Release Date : 2024-11-29

Proceedings Of Fifth Doctoral Symposium On Computational Intelligence written by Abhishek Swaroop and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.

This book features high-quality research papers presented at Fifth Doctoral Symposium on Computational Intelligence (DoSCI 2024), jointly organised by Institute of Engineering & Technology, Lucknow, India, and School of Open Learning, University of Delhi in association with University of Calabria, Italy, on May 10, 2024. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making.

Rna Therapeutics In Human Diseases

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Author : Phei Er Saw
language : en
Publisher: Springer Nature
Release Date : 2025-06-09

Rna Therapeutics In Human Diseases written by Phei Er Saw and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Medical categories.

"RNA Therapeutics in Human Diseases" is a comprehensive guide to the rapidly evolving field of RNA-based therapies. Divided into three parts, the book covers RNA biology, technical advancements in RNA therapeutics, and their clinical applications. It explores the roles of various RNAs (including mRNA, miRNA, lncRNA, and circRNA) in disease mechanisms and therapeutic strategies, as well as cutting-edge techniques like RNA sequencing, RNA nanotechnology, and AI-driven drug design. Readers will gain in-depth insights into the latest RNA research and its potential to transform genetic medicine, providing both foundational knowledge and practical perspectives for researchers, clinicians, and policymakers.

Advances In Machine Learning And Data Mining For Astronomy

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Author : Michael J. Way
language : en
Publisher: CRC Press
Release Date : 2012-03-29

Advances In Machine Learning And Data Mining For Astronomy written by Michael J. Way and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-29 with Computers categories.

Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines

Knowledge Discovery In Big Data From Astronomy And Earth Observation

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Author : Petr Skoda
language : en
Publisher: Elsevier
Release Date : 2020-04-10

Knowledge Discovery In Big Data From Astronomy And Earth Observation written by Petr Skoda and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Computers categories.

Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants. - Addresses both astronomy and geosciences in parallel, from a big data perspective - Includes introductory information, key principles, applications and the latest techniques - Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields