A5026132233- Social Policy and Reform Studies
- Regional Development and Policy
- Stellar, planetary, and galactic studies
- Astronomy and Astrophysical Research
- Adaptive optics and wavefront sensing
- Human Rights and Immigration
- Regional Development and Innovation
- Astronomical Observations and Instrumentation
- Planetary Science and Exploration
- European Monetary and Fiscal Policies
- Local Government Finance and Decentralization
- Fiscal Policies and Political Economy
- Astro and Planetary Science
- Optical Coherence Tomography Applications
- Optical Systems and Laser Technology
- Employment, Labor, and Gender Studies
- Optical Wireless Communication Technologies
- Fluid Dynamics and Turbulent Flows
- Radioactivity and Radon Measurements
- Geochemistry and Geologic Mapping
- Healthcare innovation and challenges
- Remote Sensing and LiDAR Applications
- Korean Peninsula Historical and Political Studies
- Employment and Welfare Studies
- Remote Sensing in Agriculture
Universidad de Oviedo
2004-2025
Neural networks have significantly advanced adaptive optics systems for telescopes in recent years. Future systems, especially extremely large telescopes, are expected to predominantly employ pyramid wavefront sensors, which offer good sensitivity but suffer from a non-linear response under certain conditions. This non-linearity limits the performance of traditional linear reconstruction methods, such as matrix–vector multiplication, leading suboptimal performance. Convolutional Networks...
(2003). Redesigning the Spanish and Portuguese Welfare States: The Impact of Accession into European Union. South Society Politics: Vol. 8, SPAIN AND PORTUGAL IN THE EUROPEAN UNION, pp. 231-268.
This article assesses to what extent the enlargement of EU towards Spain has impacted reform social policies up present. Despite fact that norms issued by European Union regarding regulation social-protection is scant, becoming a member such supranational institution can be expected have influenced redesign welfare states either directly or indirectly, thus contributing overcoming path dependence. The analyses influence accession on both procedural and substantive aspects, i.e. policy-making...
Adaptive optics (AO) is a technique with an important role in image correction on ground-based telescopes through the deployment of specific optical instruments and various control methodologies. The synergy between these techniques paramount for capturing sharper more accurate images. This technology also plays crucial other applications, including power information systems, where it compensates thermal distortion caused by radiation. integration neural networks into AO represents...
The transit method is one of the most relevant exoplanet detection techniques, which consists detecting periodic eclipses in light curves stars. This not always easy due to presence noise curves, induced, for example, by response a telescope stellar flux. For this reason, we aimed develop an artificial neural network model that able detect these transits obtained from different telescopes and surveys. We created with without try mimic those expected extended mission Kepler (K2) order train...
The transit method allows the detection and characterization of planetary systems by analyzing stellar light curves. Convolutional neural networks appear to offer a viable solution for automating these analyses. In this research, two 1D convolutional network models, which work with simulated curves in transit-like signals were injected, are presented. One model operates on complete estimates orbital period, other one phase-folded semimajor axis orbit square planet-to-star radius ratio. Both...
Lithium, a critical natural resource integral to modern technology, has influenced diverse industries since its discovery in the 1950s. Of particular interest is lithium-7, most prevalent lithium isotope on Earth, playing vital role applications such as batteries, metal alloys, medicine, and nuclear research. However, extraction presents significant environmental logistical challenges. This article explores potential for exploration Moon, driven by value prospect of cost reduction due Moon’s...
ABSTRACT We present 24 new dense light curves of the near-Earth asteroids (3103) Eger, (161989) Cacus, (2100) Ra-Shalom, and (12711) Tukmit, obtained with Instituto Astrofísico Canarias 80 Telescopio Abierto Remoto 2 telescopes at Teide Observatory (Tenerife, Spain) during 2021 2022, in framework projects visible NEAs observations survey NEO Rapid Observation, Characterization Key Simulations. The shape models rotation state parameters (P, λ, β) were computed by applying curve inversion...
In an attempt to further characterise the near-Earth asteroid (NEA) population we present 38 new light-curves acquired between September 2020 and November 2023 for NEAs (7335) 1989 JA, (7822) 1991 CS, (154244) 2002 KL6 (159402) 1999 AP10, obtained from observations taken at Teide Observatory (Tenerife, Spain). With these along with archival data, computed their first shape models spin solutions by applying light curve inversion method. The rotation periods are in good agreement those...
Abstract In this research, we present two 1D Convolutional Neural Network (CNN) models that were trained, validated and tested using simulated light curves designed to mimic those expected from the Kepler Space Telescope during its extended mission (K2). We also them on real K2 data. Our curve simulator considers different stellar variability phenomena, such as rotations, pulsations flares, which along with noise for data, hinders transit signal detection, in The first model effectively...