From the 2 of 12 papers with an AI index.
12 citations
- Universidade Tecnológica Federal do ParanáBR5 papers
- Khalifa University of Science and TechnologyAE3 papers
- Universidade Federal FluminenseBR3 papers
- University of Cape TownZA3 papers
- North-West UniversityZA2 papers
- ARC Centre of Excellence for Gravitational Wave DiscoveryAU1 paper
- Armagh Observatory & PlanetariumGB1 paper
- Astronomical Institute of the Slovak Academy of SciencesSK1 paper
- Astronomical ObservatoryRS1 paper
- Barcelona Graduate School of MathematicsES1 paper
- California Institute of TechnologyUS1 paper
- Carnegie Institution for ScienceUS1 paper
12 papers
Multiplicity of Massive Stars at Low Metallicity: Early Results from the BLOeM Campaign
T. Shenar, J. Bodensteiner, M. Abdul-Masih +73
The BLOeM campaign presents the first large‑scale spectroscopic survey of 929 massive stars in the Small Magellanic Cloud, revealing a high intrinsic binary fraction (>70%) among m…
Stellar Multiplicity in Open Clusters: Investigating Binary Fractions and Their Relationship with Cluster Properties
Ruan P. Alves, Hektor Monteiro, Wilton S. Dias +1
The paper analyzes binary star fractions and mass‑ratio distributions in 773 open clusters, showing that binary fractions depend on metallicity but not age, and that binaries tend…
Covariant Tolman-Oppenheimer-Volkoff equations in Energy-Momentum Squared Gravity
Eduardo Bittencourt, Mariam Campbell, Peter K. S. Dunsby +2
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…
Cosmological perturbations in Energy-Momentum Squared Gravity
Peter K. S. Dunsby, Maria-Alexia Caldis, Eduardo Bittencourt
We present a fully covariant and gauge-invariant analysis of linear cosmological perturbations in Energy-Momentum Squared Gravity. Working within the 1+3 formalism, we derive the e…
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…
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…