Big Data Analytics In Astronomy Science And Engineering
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Big Data Analytics In Astronomy Science And Engineering
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Author : Shelly Sachdeva
language : en
Publisher: Springer Nature
Release Date : 2025-03-30
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 2025-03-30 with Computers categories.
This book constitutes the proceedings of the 12th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2024, which took place in Aizu, Japan during November 26-28, 2024. The 16 full papers included in this book were carefully reviewed and selected from 90 submissions; the proceedings also include 6 invited papers. The contributions were organized in topical sections as follows: Big Data: analysis and management; data science; big data applications; and information security.
Big Data Analytics In Astronomy Science And Engineering
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Author : Shelly Sachdeva
language : en
Publisher: Springer Nature
Release Date : 2023-03-18
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 2023-03-18 with Computers categories.
This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan. The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.
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.
Big Data Analytics In Astronomy Science And Engineering
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Author : Shelly Sachdeva
language : en
Publisher: Springer Nature
Release Date : 2022-02-17
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 2022-02-17 with Computers categories.
This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7–9, 2021. The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.
Proceedings Of International Conference On Generative Ai Cryptography And Predictive Analytics
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Author : Deepali Virmani
language : en
Publisher: Springer Nature
Release Date : 2025-03-08
Proceedings Of International Conference On Generative Ai Cryptography And Predictive Analytics written by Deepali Virmani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-08 with Computers categories.
The book presents the proceedings of the International Conference on Generative AI, Cryptography and Predictive Analytics (ICGCPA 2024), held at VIPS-TC, School of Engineering and Technology, Pitampura, Delhi, India, during June 28 – 29, 2024. It covers Generative AI's role in problem-solving, examining applications in image synthesis, content creation, healthcare, and optimization challenges. This book is a valuable resource for postgraduate students in various engineering disciplines.
New Trends In Intelligent Software Methodologies Tools And Techniques
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Author : H. Fujita
language : en
Publisher: IOS Press
Release Date : 2022-10-11
New Trends In Intelligent Software Methodologies Tools And Techniques written by H. Fujita and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-11 with Computers categories.
The integration of applied intelligence with software has been an essential enabler for science and the new economy, creating new possibilities for a more reliable, flexible and robust society. But current software methodologies, tools, and techniques often fall short of expectations, and are not yet sufficiently robust or reliable for a constantly changing and evolving market. This book presents the proceedings of SoMeT_22, the 21st International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, held from 20 - 22 September 2022 in Kitakyushu, Japan. The SoMeT conference provides a platform for the exchange of ideas and experience in the field of software technology, with the emphasis on human-centric software methodologies, end-user development techniques, and emotional reasoning for optimal performance. The 58 papers presented here were each carefully reviewed by 3 or 4 referees for technical soundness, relevance, originality, significance and clarity, they were then revised before being selected by the international reviewing committee. The papers are arranged in 9 chapters: software systems with intelligent design; software systems security and techniques; formal techniques for system software and quality assessment; applied intelligence in software; intelligent decision support systems; cyber-physical systems; knowledge science and intelligent computing; ontology in data and software; and machine learning in systems software. The book assembles the work of scholars from the international research community to capture the essence of the new state-of-the-art in software science and its supporting technology, and will be of interest to all those working in the field.
Intelligent Computing And Optimization
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Author : Pandian Vasant
language : en
Publisher: Springer Nature
Release Date : 2024-12-26
Intelligent Computing And Optimization written by Pandian Vasant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
This book of Springer Nature is another proof of Springer’s outstanding and greatness on the lively interface of Smart Computational Optimization, Green Infrastructure, Innovative Modeling and Deep Learning Architectures! It is a Master Piece of what our community of Academics and Experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Holistic Operational Research and Experience of the World-Leader Springer Nature! The 7th edition of International Conference on Intelligent Computing and Optimization took place at Baitong Hotel & Resort on October 26–27, 2023, with tremendous support from the global research scholars across the planet. Objective was to celebrate “Global Research Quality with Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization across the globe,to share knowledge, experience and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of the 7th ICO’2023 is published by Springer Nature—Creativity Label of Inspiration.
Big Data In Astronomy
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Author : Linghe Kong
language : en
Publisher: Elsevier
Release Date : 2020-06
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 with Computers categories.
Big Data in Radio Astronomy 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), which is the world's largest radio telescope and 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. As new technologies emerge, it is important to consider the challenges of how to process, record, calibrate, and clean astronomical big data, as well as how to optimize and accelerate the algorithms for processing, and how to extract knowledge from big data.Presenting state-of-the-art results and research, Big Data in Radio Astronomy 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.
Big Data Concepts Theories And Applications
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Author : Shui Yu
language : en
Publisher: Springer
Release Date : 2016-03-03
Big Data Concepts Theories And Applications written by Shui Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-03 with Computers categories.
This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.
Cloud Computing For Science And Engineering
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Author : Ian Foster
language : en
Publisher: MIT Press
Release Date : 2017-09-29
Cloud Computing For Science And Engineering written by Ian Foster and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-29 with Computers categories.
A guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book offer a guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The book surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program these services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security. The book is accompanied by a website, Cloud4SciEng.org, that provides a variety of supplementary material, including exercises, lecture slides, and other resources helpful to readers and instructors.