Planetary candidates transiting cool dwarf stars from Campaigns 12 to 15 of K2

Autor: F. J. Iglesias Rodríguez, John H. Livingston, J. Menéndez Blanco, F. J. de Cos Juez, Sergio Luis Suárez Gómez, Mark E. Everett, Erica J. Gonzales, Joshua E. Schlieder, Steve B. Howell, F. García Riesgo, N. Scott, Laura Bonavera, E. Díez Alonso, A. Castro González, David R. Ciardi, Ruben Muñiz, Jerome de Leon, C. González Gutiérrez

We analyzed the photometry of 20038 cool stars from campaigns 12, 13, 14 and 15 of the K2 mission in order to detect, characterize and validate new planetary candidates transiting low-mass stars. We present a catalogue of 25 new periodic transit-like

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ede057f326cdab320670e68722b78fb

PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

Autor: Esperanza García-Gonzalo, P.J. García Nieto, F. J. de Cos Juez, F. Sánchez Lasheras

Publikováno v: Science of The Total Environment. 621:753-761

Atmospheric particulate matter (PM) is one of the pollutants that may have a significant impact on human health. Data collected over seven years in a city of the north of Spain is analyzed using four different mathematical models: vector autoregressi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::257f0c1954a7069d77c392325531c2de
https://doi.org/10.1016/j.scitotenv.2017.11.291

SHALOS: Statistical Herschel -ATLAS lensed objects selection

Autor: J. González-Nuevo, Francisco Argüeso, D. Herranz, Luisa Toffolatti, Sergio Luis Suárez Gómez, Laura Bonavera, Carlos González-Gutiérrez, Fernando Sánchez-Lasheras, F. García Riesgo, F. J. de Cos Juez

Publikováno v: Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
A&A 627, A31 (2019)
Digital.CSIC. Repositorio Institucional del CSIC
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)

Context. The statistical analysis of large sample of strong lensing events can be a powerful tool to extract astrophysical or cosmological valuable information. Their selection using submillimetre galaxies has been demonstrated to be very effective w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b60cce7b05b4af38b062da6509ab82d
http://hdl.handle.net/10651/53303

QSOs sigposting cluster size halos as gravitational lenses: halo mass, projected mass density profile and concentration at z∼0.7

Autor: Federico Bianchini, Mattia Negrello, Laura Bonavera, Jesús Daniel Santos, F. J. de Cos Juez, Sergio Luis Suárez Gómez, Andrea Lapi, E. Díez Alonso, J. González-Nuevo

Magnification bias is a gravitational lensing effect that is normally overlooked because it is considered sub-optimal in comparison with the lensing shear. Thanks to the demonstrated optimal characteristics of the sub-millimetre galaxies (SMGs) for l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65f126d5508bdb84e471cdb89e664193
http://hdl.handle.net/20.500.11767/103098

Applying the K-nearest neighbor technique to the classification of workers according to their risk of suffering musculoskeletal disorders

Autor: P. Riesgo Fernández, F. J. de Cos Juez, A. Suárez Sánchez, F.J. Iglesias-Rodríguez

Publikováno v: International Journal of Industrial Ergonomics. 52:92-99

The K-nearest neighbor (KNN) technique is a widely used classifier because of its simplicity and high efficiency. We adapted this technique and applied it with success to predict work-related musculoskeletal disorders. Among the general working popul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::92cb84f0b47c44e66c82ca749bc09c8b
https://doi.org/10.1016/j.ergon.2015.09.012