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AutoSourceID-Light : Fast optical source localization via U-Net and Laplacian of Gaussian
F. Stoppa, P. Vreeswijk, S. Bloemen, Saptashwa Bhattacharyya, S Caron, G. Jóhannesson, R. Ruiz de Austri, C. Van den Oetelaar, Gabrijela Zaharijas, P.J. Groot, E. Cator, G. Nelemans, 2022, izvirni znanstveni članek

Opis: Aims: With the ever-increasing survey speed of optical wide-field telescopes and the importance of discovering transients when they are still young, rapid and reliable source localization is paramount. We present AutoSourceID-Light (ASID-L), an innovative framework that uses computer vision techniques that can naturally deal with large amounts of data and rapidly localize sources in optical images. Methods: We show that the ASID-L algorithm based on U-shaped networks and enhanced with a Laplacian of Gaussian filter provides outstanding performance in the localization of sources. A U-Net network discerns the sources in the images from many different artifacts and passes the result to a Laplacian of Gaussian filter that then estimates the exact location. Results: Using ASID-L on the optical images of the MeerLICHT telescope demonstrates the great speed and localization power of the method. We compare the results with SExtractor and show that our method outperforms this more widely used method rapidly detects more sources not only in low and mid-density fields, but particularly in areas with more than 150 sources per square arcminute. The training set and code used in this paper are publicly available.
Ključne besede: astronomical databases, data analysis, image processing
Objavljeno v RUNG: 23.01.2023; Ogledov: 1276; Prenosov: 0
Gradivo ima več datotek! Več...

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Unwrapping Aortic valve dysfunction through complex network analysis: A biophysics approach
Mohanachandran Nair Sindhu Swapna, 2022, izvirni znanstveni članek

Ključne besede: Aortic valve dysfunction, complex network analysis
Objavljeno v RUNG: 14.09.2022; Ogledov: 1088; Prenosov: 0
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Yat-alternation and the imperfect tense in Bulgarian. A rule-based analysis.
Danil Khristov, 2022, objavljeni znanstveni prispevek na konferenci

Opis: The paper proposes a rule-based feature analysis of the ya/e phenomenon in Bulgarian. Special attention is paid to the variable ya/е observed in the forms of the imperfect tense. First and second-conjugation verbs whose imperfect forms involve yat-alternation are compared with third-conjugation verbs where this alternation is not observed. The analysis also addresses the role of morphology in the process of adding different imperfect endings to the verb base and the effect of these endings on the variable ya/e. Finally, the phonemic status of soft consonants is discussed in relation to the proposed analysis.
Ključne besede: yat vowel, yat-alternation, variable ya/e, imperfect tense, rule-based analysis, features
Objavljeno v RUNG: 06.09.2022; Ogledov: 1296; Prenosov: 0
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AphasiaBank_ Italian
Sara Andreetta, zaključena znanstvena zbirka raziskovalnih podatkov

Ključne besede: aphasia, discourse analysis, Italian language, discourse database, CLAN, CHAT
Objavljeno v RUNG: 21.07.2022; Ogledov: 1286; Prenosov: 31
.pdf Celotno besedilo (15,53 KB)

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Automatic discourse analysis in aphasia
Sara Andreetta, prispevek na konferenci brez natisa

Ključne besede: aphasia, discourse analysis, CLAN, CHAT, AphasiaBank
Objavljeno v RUNG: 20.07.2022; Ogledov: 1259; Prenosov: 0
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Nondestructive Evaluation of Surface Roughness of Thin Films through Fractal Analysis, S Soumya
Mohanachandran Nair Sindhu Swapna, 2017, izvirni znanstveni članek

Ključne besede: Nondestructive Evaluation, Surface Roughness, Thin Films, Fractal Analysis
Objavljeno v RUNG: 05.07.2022; Ogledov: 1202; Prenosov: 0
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