Results 221 to 230 of about 2,490,222 (262)

Overview of the ESCAPE Dark Matter Test Science Project for astronomers. [PDF]

Open Res Eur
Pearson J, Dickinson H, Sinha S, Serjeant S.   +3 more
europepmc   +1 more source

Augmenting Orbital Debris Identification with Neo4j-Enabled Graph-Based Retrieval-Augmented Generation for Multimodal Large Language Models. [PDF]

Sensors (Basel)
Roll DS, Kurt Z, Li Y, Woo WL.
europepmc   +1 more source

An ultrafast algorithm for ultrafast time-resolved coherent Raman spectroscopy. [PDF]

Commun Chem
Mazza F, van den Bekerom D.
europepmc   +1 more source

Coupling laboratory FTIR data with PROCODA kinetic modeling for the radiolysis of frozen formic acid using swift ions. [PDF]

RSC Adv
Moraes L, Fargnoli CM, Pilling S.
europepmc   +1 more source

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Astronomical Knowledge Discovery in Databases by the CoLiTec Software

2022 12th International Conference on Advanced Computer Information Technologies (ACIT), 2022
The very fast technological progress provokes the creation of a big volume of the astronomical data, which is fed in the different forms. There are various directions in science that use high dimensional data to be analyzed.
Sergiĭ Khlamov, Tetiana Trunova
exaly   +3 more sources

Realization of Different Techniques for Anomaly Detection in Astronomical Databases

Communications in Computer and Information Science, 2020
In this work we address the problem of anomaly detection in large astronomical databases by machine learning methods. The importance of such study is justified by the existence of a large amount of astronomical data that can not be processed only by human resource. We evaluated five anomaly detection algorithms to find anomalies in the light curve data
Maria Pruzhinskaya, Konstantin Malanchev, Emille Ishida   +2 more
exaly   +3 more sources

Mining Astronomical Databases

Massive Computing, 2001
The development of software tools and techniques for the efficient ac- cess and analysis of large astronomical databases poses some unique challenges. We briefly describe some of the problems astronomical data and datasets present and give an example from our own efforts to auto- mate the classification of galaxies, and then discuss where “clustering ...
Roberta Humphreys
exaly   +3 more sources

Surveys, Catalogues, Databases, and Archives of Astronomical Data

2020
This chapter traces the development of astronomical observational methods from visual, for decades tracking the behavior of individual objects, to modern space missions that produce data simultaneously for several hundred thousand objects in different ...
Daria Dobrycheva
exaly   +3 more sources

Astronomical Databases: A User Approach

1992
A few thoughts are presented on astronomical databases and archives from a user point of view. Shortcomings and possible future trends are also mentioned, as well as some considerations on a future ideal environment for direct home applications on real and remotely located astronomical data.
Heck André, André Heck
exaly   +3 more sources

Data mining of large astronomical databases with neural tools

SPIE Proceedings, 2002
The International Virtual Observatory will pose unprecedented problems to data mining. We shortly discuss the effectiveness of neural networks as aids to the decisional process of the astronomer, and present the AstroMining Package. This package was written in Matlab and C++ and provides an user friendly interactive platform for various data mining ...
Roberto Tagliaferri, Riccardo Smareglia, Salvatore Sessa   +2 more
exaly   +6 more sources