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We discuss the development of a Java toolbox for astronomical time series data. Rather than using methods conventional in astronomy (e.g., power spectrum and cross-correlation analysis) we employ rule discovery techniques commonly used in…

Astrophysics · Physics 2007-05-23 E. Perlman , A. Java

In this paper we show how advanced visualization tools can help the researcher in investigating and extracting information from data. The focus is on VisIVO, a novel open source graphics application, which blends high performance…

Multi-modal perception is essential for unmanned aerial vehicle (UAV) operations, as it enables a comprehensive understanding of the UAVs' surrounding environment. However, most existing multi-modal UAV datasets are primarily biased toward…

Scientists across all disciplines increasingly rely on machine learning algorithms to analyse and sort datasets of ever increasing volume and complexity. Although trends and outliers are easily extracted, careful and close inspection will…

Instrumentation and Methods for Astrophysics · Physics 2021-09-16 T. H. Jarrett , A. Comrie , L. Marchetti , A. Sivitilli , S. Macfarlane , F. Vitello , U. Becciani , A. R. Taylor , J. M. van der Hulst , P. Serra , N. Katz , M. Cluver

In the present work we have selected a collection of statistical and mathematical tools useful for the exploration of multivariate data and we present them in a form that is meant to be particularly accessible to a classically trained…

Statistics Theory · Mathematics 2010-09-01 Magnus Fontes

We present Mirror, an open-source platform for data exploration and analysis powered by large language models. Mirror offers an intuitive natural language interface for querying databases, and automatically generates executable SQL commands…

Databases · Computer Science 2023-03-16 Canwen Xu , Julian McAuley , Penghan Wang

A full-fledged data exploration system must combine different access modalities with a powerful concept of guiding the user in the exploration process, by being reactive and anticipative both for data discovery and for data linking. Such…

Exploring volumetric data is crucial for interpreting scientific datasets. However, selecting optimal viewpoints for effective navigation can be challenging, particularly for users without extensive domain expertise or familiarity with 3D…

Artificial Intelligence · Computer Science 2025-08-12 Xuan Zhao , Jun Tao

Unsupervised learning algorithms like self-organizing Kohonen maps are a promising approach to gain an overview among massive datasets. With UltraPINK, researchers can train, inspect, and explore self-organizing maps, whereby the toolbox of…

Instrumentation and Methods for Astrophysics · Physics 2025-05-01 Fenja Kollasch , Kai Polsterer

The first step in a science project is the acquisition and understanding of the relevant data. This paper outlines the results of a project to design and test network tools specifically oriented at retrieving astronomical data. The tools…

Instrumentation and Methods for Astrophysics · Physics 2009-10-07 James Schombert

The JVO ALMA Archive provides users one of the easiest ways to access the ALMA archival data. The users can have a quick look at a 3 or 4-dimensional data cube without downloading multiple huge tarballs from a science portal of ALMA…

Instrumentation and Methods for Astrophysics · Physics 2015-11-23 Satoshi Eguchi , Yuji Shirasaki , Christopher Zapart , Masatoshi Ohishi , Yoshihiko Mizumoto , Wataru Kawasaki , Tsuyoshi Kobayashi , George Kosugi

The AMIDER, Advanced Multidisciplinary Integrated-Database for Exploring new Research, is a newly developed research data catalog to demonstrate an advanced database application. AMIDER is characterized as a multidisciplinary database…

High-quality, usable, and effective software is essential for supporting astronomers in the discovery-focused tasks of data analysis and visualisation. As the volume, and perhaps more crucially, the velocity of astronomical data grows, the…

Instrumentation and Methods for Astrophysics · Physics 2020-09-01 Christopher J. Fluke , Sarah E. Hegarty , Clare O. -M. MacMahon

Many modern applications produce massive streams of data series and maintain them in indexes to be able to explore them through nearest neighbor search. Existing data series indexes, however, are expensive to operate as they issue many…

Databases · Computer Science 2020-06-24 Haridimos Kondylakis , Niv Dayan , Kostas Zoumpatianos , Themis Palpanas

With the advancement of machine learning and artificial intelligence technologies, recommender systems have been increasingly used across a vast variety of platforms to efficiently and effectively match users with items. As application…

Information Retrieval · Computer Science 2026-01-28 Xuan Bi , Yaqiong Wang , Gediminas Adomavicius , Shawn Curley

We report on an exploratory project aimed at performing immersive 3D visualization of astronomical data, starting with spectral-line radio data cubes from galaxies. This work is done as a collaboration between the Department of Physics and…

Instrumentation and Methods for Astrophysics · Physics 2016-08-01 Gilles Ferrand , Jayanne English , Pourang Irani

With the application of advanced astronomical technologies, equipments and methods all over the world, astronomy covers from radio, infrared, visible light, ultraviolet, X-ray and gamma ray band, and enters into the era of full wavelength…

Instrumentation and Methods for Astrophysics · Physics 2016-11-09 Bo Han , Yanxia Zhang , Shoubo Zhong , Yongheng Zhao

Interactive visualization of astronomical catalogs requires novel techniques due to the huge volumes and complex structure of the data produced by existing and upcoming astronomical surveys. The creation as well as the disclosure of the…

Instrumentation and Methods for Astrophysics · Physics 2015-05-30 Hugo Buddelmeijer , Edwin A. Valentijn

MESA (Modules for Experiments in Stellar Astrophysics) has become very popular among astrophysicists as a powerful and reliable code to simulate stellar evolution. Analyzing the output data thoroughly may, however, present some challenges…

Solar and Stellar Astrophysics · Physics 2015-06-11 Maurizio Giannotti , Michael Wise , Aaron Mohammed

The use of multimodal data in assisted diagnosis and segmentation has emerged as a prominent area of interest in current research. However, one of the primary challenges is how to effectively fuse multimodal features. Most of the current…

Computer Vision and Pattern Recognition · Computer Science 2024-04-26 Xinxin Fan , Lin Liu , Haoran Zhang