Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Julian Gil-Gonzalez"'
Autor:
Julián David Pastrana-Cortés, Julian Gil-Gonzalez, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Álvaro Angel Orozco-Gutiérrez
Publikováno v:
Water, Vol 16, Iss 14, p 2006 (2024)
Accurate streamflow forecasting is crucial for effectively managing water resources, particularly in countries like Colombia, where hydroelectric power generation significantly contributes to the national energy grid. Although highly interpretable, t
Externí odkaz:
https://doaj.org/article/721f82e8933c4dc9b15bd5de0196b349
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5472 (2022)
Sentiment analysis is a relevant area in the natural language processing context–(NLP) that allows extracting opinions about different topics such as customer service and political elections. Sentiment analysis is usually carried out through superv
Externí odkaz:
https://doaj.org/article/ae912072b14e4f558b57e0b5b8013f3d
Autor:
Oscar Danilo Montoya Giraldo, Andrés Escobar Mejía, Walter Julián Gil González, Alejandro Garcés Ruiz
La potencia reactiva es un concepto abstracto y difícil de definir, especialmente en sistemas con alto desbalance y presencia de armónicos, se trata de una potencia circulante entre el campo magnético y el campo eléctrico, sin ser realmente gener
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Jenniffer Carolina Triana-Martinez, Andrés Marino Álvarez-Meza, Julian Gil-González, Tom De Swaef, Jose A. Fernandez-Gallego
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2854 (2024)
To optimize growth and management, precision agriculture relies on a deep understanding of agricultural dynamics, particularly crop water status analysis. Leveraging unmanned aerial vehicles, we can efficiently acquire high-resolution spatiotemporal
Externí odkaz:
https://doaj.org/article/25861f817eea496e9edb90d82ecf6e32
Autor:
Jenniffer Carolina Triana-Martinez, Julian Gil-González, Jose A. Fernandez-Gallego, Andrés Marino Álvarez-Meza, Cesar German Castellanos-Dominguez
Publikováno v:
Sensors, Vol 23, Iss 7, p 3518 (2023)
Supervised learning requires the accurate labeling of instances, usually provided by an expert. Crowdsourcing platforms offer a practical and cost-effective alternative for large datasets when individual annotation is impractical. In addition, these
Externí odkaz:
https://doaj.org/article/f2af93c79b4948c9ba5a4126634a127a
Autor:
Julián Gil-González, Andrés Valencia-Duque, Andrés Álvarez-Meza, Álvaro Orozco-Gutiérrez, Andrea García-Moreno
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5409 (2021)
The increasing popularity of crowdsourcing platforms, i.e., Amazon Mechanical Turk, changes how datasets for supervised learning are built. In these cases, instead of having datasets labeled by one source (which is supposed to be an expert who provid
Externí odkaz:
https://doaj.org/article/8ea5db0027204635ad577504605975e0