Unsupervised multimodal deep learning for galaxy morphology taxonomy: integrating ConvNeXtEmbeddings and morphological parameters for scalable survey science. [PDF]
Selim IM +3 more
europepmc +1 more source
Reconstruction of Extreme Sea Levels in coastal China using Multiple Deep Learning models. [PDF]
Fang J +8 more
europepmc +1 more source
Using wavelet decomposition to determine the dimension of structures from projected images. [PDF]
Mayboroda S, Spergel DN.
europepmc +1 more source
Frigate: A Novel Dataset Comprising Wide Field-of-View Astronomical FITS Images of Low Earth Orbit Scenes for Machine Learning Applications. [PDF]
Roll DS +4 more
europepmc +1 more source
Modern techniques in astronomical photography proceedings of the ESO Workshop on Modern Techniques in Astronomical Photography held in Geneva, Switzerland, May 16-18, 1978 [PDF]
West, Richard M. 1941- +1 more
core
Consensus clustering-based undersampling for improved classification of transient events in time-domain astronomy surveys. [PDF]
Boongoen T, Iam-On N.
europepmc +1 more source
A review of source detection approaches in astronomical images [PDF]
Astronomical images provide information about the great variety of celestial objects in the Universe, the physical processes taking place in it, and the formation and evolution of the cosmos.
Peracaula i Bosch, Marta +3 more
core
Evaluating multimodal commercial and open-source large language models for dynamical astronomy: a benchmark study of resonant behavior classification. [PDF]
Smirnov E, Carruba V.
europepmc +1 more source
Laboratory detection and rotational spectroscopy of <i>trans</i>-HNSO: implications for astronomical observations. [PDF]
Lattanzi V +4 more
europepmc +1 more source
Superconducting artificial neural networks and quantum circuits. [PDF]
Sidorenko AS.
europepmc +1 more source

