Astronomy And Big Data
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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)
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
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.
The Intelligent Universe
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Author : Yogesh Chandra
language : en
Publisher: John Wiley & Sons
Release Date : 2025-11-03
The Intelligent Universe written by Yogesh Chandra 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 2025-11-03 with Science categories.
Uncover the universe’s secrets with this essential guide that provides a comprehensive exploration of how artificial intelligence is revolutionizing modern astronomical research. Artificial intelligence (AI) is revolutionizing astronomy, enabling researchers to process vast datasets, uncover hidden patterns, and enhance observational precision like never before. This book explores this transformative synergy, bringing together insights from experts across the globe. Covering a wide spectrum of topics, including AI-driven data mining, exoplanet discovery, gravitational wave detection, and autonomous observatories, this book highlights the impact of machine learning, computer vision, and big data analytics on modern astrophysical research. From detecting transient celestial events to refining cosmic evolution models, this volume delves into the ways AI is reshaping our understanding of the cosmos. As we enter a new era of discovery, this guide serves as both a foundational reference and a forward-looking exploration of AI’s expanding role in space science. Whether you are a student, researcher in astronomy or space science, or an AI practitioner, this book offers an invaluable resource on the frontiers of AI-driven astronomical research. Readers will find this volume: Provides a balanced mix of fundamental concepts, practical applications, and future perspectives; Designed to be informative and approachable, combining scientific insights, high-quality images, and detailed analyses to enhance understanding; Explores how AI is transforming space exploration, telescope automation, and cosmic data processing, providing readers a future-focused perspective. Audience Academics, researchers, astronomers, astrophysicists, and industry professionals interested in the transformative power of AI for astrological applications.
Advances And Trends In Artificial Intelligence From Theory To Practice
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Author : Hamido Fujita
language : en
Publisher: Springer Nature
Release Date : 2021-07-19
Advances And Trends In Artificial Intelligence From Theory To Practice written by Hamido Fujita and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Computers categories.
This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021. The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction
Chatgpt For Astronomers
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Author : Jade Summers
language : en
Publisher: Jade Summers
Release Date :
Chatgpt For Astronomers written by Jade Summers and has been published by Jade Summers this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
🚀 Unlock the Stars with AI! 🌌 Embark on a journey through the cosmos with ChatGPT for Astronomers: Unlocking the Universe of AI! Whether you're a seasoned stargazer or just curious about the night sky, this groundbreaking guide bridges the gap between astronomy and artificial intelligence. Discover how tools like ChatGPT can transform how we explore, analyze, and communicate the mysteries of the universe. ✨ Highlights: Learn AI fundamentals and their applications in astronomy 🌠 Explore how ChatGPT aids in data analysis and celestial discoveries 🔭 Dive into case studies and real-world applications of AI in astronomy 🌍 Get inspired by ways to use AI for stargazing and public engagement 🌟 Overcome the challenges of integrating AI into research projects 🛠️ Ready to unlock the universe? Your adventure into the stars awaits! 🪐
Astronomy From Large Databases
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Author : European Southern Observatory
language : en
Publisher:
Release Date : 1988
Astronomy From Large Databases written by European Southern Observatory and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Astronomy categories.
Algorithms And Architectures For Parallel Processing
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Author : Guojun Wang
language : en
Publisher: Springer
Release Date : 2015-11-16
Algorithms And Architectures For Parallel Processing written by Guojun Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-16 with Computers categories.
This four volume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015. The 219 revised full papers presented together with 77 workshop papers in these four volumes were carefully reviewed and selected from 807 submissions (602 full papers and 205 workshop papers). The first volume comprises the following topics: parallel and distributed architectures; distributed and network-based computing and internet of things and cyber-physical-social computing. The second volume comprises topics such as big data and its applications and parallel and distributed algorithms. The topics of the third volume are: applications of parallel and distributed computing and service dependability and security in distributed and parallel systems. The covered topics of the fourth volume are: software systems and programming models and performance modeling and evaluation.
Astronomy And Big Data
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Author : Kieran Jay Edwards
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-04-12
Astronomy And Big Data written by Kieran Jay Edwards and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-12 with Technology & Engineering categories.
With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo. Seeking the wisdom of the crowd for such Big Data processing has proved extremely beneficial. However, an analysis of one of the Galaxy Zoo morphological classification data sets has shown that a significant majority of all classified galaxies are labelled as “Uncertain”. This book reports on how to use data mining, more specifically clustering, to identify galaxies that the public has shown some degree of uncertainty for as to whether they belong to one morphology type or another. The book shows the importance of transitions between different data mining techniques in an insightful workflow. It demonstrates that Clustering enables to identify discriminating features in the analysed data sets, adopting a novel feature selection algorithms called Incremental Feature Selection (IFS). The book shows the use of state-of-the-art classification techniques, Random Forests and Support Vector Machines to validate the acquired results. It is concluded that a vast majority of these galaxies are, in fact, of spiral morphology with a small subset potentially consisting of stars, elliptical galaxies or galaxies of other morphological variants.
Big Data Analytics In Astronomy Science And Engineering
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Author : Shelly Sachdeva
language : en
Publisher: Springer Nature
Release Date : 2024-04-26
Big Data Analytics In Astronomy Science And Engineering written by Shelly Sachdeva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.
This book constitutes the proceedings of the 11th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2023, which took place in Aizu, Japan during December 5–7, 2023. The 19 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Data management and visualization; data science: architectures and systems; data science and applications; and cyber systems and information security.