Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Edwin A Múnera"'
Publikováno v:
Revista Colombiana de Ciencias Pecuarias, Vol 20, Iss 4, Pp 455-471 (2007)
El propósito de este trabajo fue determinar la influencia del mérito genético para la producción de leche sobre el balance energético, los indicadores del metabolismo energético y la reactivación ovárica posparto. Para este estudio, se utiliz
Externí odkaz:
https://doaj.org/article/1b974f4464ee4c5d8f4a743b267c0795
Publikováno v:
Revista Colombiana de Ciencias Pecuarias, Vol 18, Iss 3, Pp 228-239 (2005)
A la vez que ha aumentado la ganancia genética para la producción de leche, el desempeño reproductivo de las vacas ha desmejorado simultáneamente; sin embargo, las razones fisiológicas de este antagonismo no están bien determinadas. Algunos inv
Externí odkaz:
https://doaj.org/article/5dacc18cc3d4413eb8a3fec129e55ca1
Publikováno v:
Heliyon, Vol 7, Iss 6, Pp e07253- (2021)
In this work, the affective state of users in virtual learning environments is assessed/recognized in terms of continuous arousal and valence dimensions, making use of multimodal information (audio, text and video), whenever any of these modalities a
Externí odkaz:
https://doaj.org/article/1243c9d65a2244f7b24b29130d287a59
Publikováno v:
Heliyon
Heliyon, Vol 7, Iss 6, Pp e07253-(2021)
Heliyon, Vol 7, Iss 6, Pp e07253-(2021)
In this work, the affective state of users in virtual learning environments is assessed/recognized in terms of continuous arousal and valence dimensions, making use of multimodal information (audio, text and video), whenever any of these modalities a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e53da5608fbfd06f9032d62db7df7ee
https://doi.org/10.1016/j.heliyon.2021.e07253
https://doi.org/10.1016/j.heliyon.2021.e07253
Autor:
Marta S. Tabares-Betancur, Edwin Montoya-Múnera, Santiago Angée, Juan-David Ospina-Arango, Silvia I. Lozano-Argel
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319952031
KMO
KMO
The development of big data & analytics projects with the participation of several corporate divisions and research groups within and among organizations is a non-trivial problem and requires well-defined roles and processes. Since there is no accept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f06f9d404d90b1ea0e4e86d3cac5b14
https://doi.org/10.1007/978-3-319-95204-8_51
https://doi.org/10.1007/978-3-319-95204-8_51
