output
19962026
most citedUpdated parameters of 1743 open clusters based on Gaia DR2

304 citations

349 papers

physics.gen-ph2026

Multiplicity of Massive Stars at Low Metallicity: Early Results from the BLOeM Campaign

T. Shenar, J. Bodensteiner, M. Abdul-Masih +73

Massive stars at low metallicity (Z) play a central role in shaping the high-redshift Universe, yet their multiplicity remains poorly constrained. The Binarity at Low Metallicity (…

astro-ph.SR2026

Stellar Multiplicity in Open Clusters: Investigating Binary Fractions and Their Relationship with Cluster Properties

Ruan P. Alves, Hektor Monteiro, Wilton S. Dias +1

Stellar multiplicity is key in dynamical evolution of open clusters (OCs) and processes of stellar formation and evolution. Since most stars form in multiple systems, investigating…

gr-qc2026

Covariant Tolman-Oppenheimer-Volkoff equations in Energy-Momentum Squared Gravity

Eduardo Bittencourt, Mariam Campbell, Peter K. S. Dunsby +1

We study static, spherically symmetric stellar configurations in an extended class of Energy--Momentum Squared Gravity using the covariant \(1+1+2\) semi-tetrad formalism. For perf…

cs.CV2026

Applying Deep Learning for cockpit segmentation in the context of mixed reality

Alexandre Leles Sousa, Pedro de Oliveira Nielson, Erick Oliveira Rodrigues +2

Computer vision is an area that has been growing continuously. With the advance of technologies with a first-person view, new development opportunities have emerged inside the area…

cs.CV2026★ 5 cited

Machine learning applied to emerald gemstone grading: framework proposal and creation of a public dataset

FB Pena, D Crabi, Sandro C Izidoro +2

The grading of gemstones is currently a manual procedure performed by gemologists. A popular approach uses reference stones, where those are visually inspected by specialists that…

cs.CV2026★ 2 cited

A Novel Approach for the Counting of Wood Logs Using cGANs and Image Processing Techniques

João VC Mazzochin, Giovani Bernardes Vitor, Gustavo Tiecker +4

This study tackles the challenge of precise wood log counting, where applications of the proposed methodology can span from automated approaches for materials management, surveilla…