Zobrazeno 1 - 8
of 8
pro vyhledávání: '"David Augusto Cardenas-Peña"'
Autor:
Julián David Pastrana-Cortés, David Augusto Cardenas-Peña, Mauricio Holguín-Londoño, Germán Castellanos-Dominguez, Álvaro Angel Orozco-Gutiérrez
Publikováno v:
Engineering Proceedings, Vol 39, Iss 1, p 83 (2023)
Water resource forecasting plays a crucial role in managing hydrological reservoirs, supporting operational decisions ranging from the economy to energy. In recent years, machine learning-based models, including sequential models such as Long Short-T
Externí odkaz:
https://doaj.org/article/78d010b1bb514e659c9e06b6306bac94
Autor:
Cristian Alejandro Blanco-Martínez, David Augusto Cardenas-Peña, Mauricio Holguín-Londoño, Andrés Marino Álvarez-Meza, Álvaro Angel Orozco-Gutiérrez
Publikováno v:
Engineering Proceedings, Vol 39, Iss 1, p 91 (2023)
Environmental demands around the world have led to an increasing interest in natural gas due to its advantages over other hydrocarbons used in power generation, which has led to the search for the best way to solve the transportation problem associat
Externí odkaz:
https://doaj.org/article/8b0541c479bd47c5aab54d2162954758
Autor:
Cristian Alejandro Blanco-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Dominguez, David Augusto Cárdenas-Peña, Álvaro Angel Orozco-Gutiérrez
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2224 (2024)
The demand for thermal power generation from natural gas has increased globally due to its cleaner burning properties compared to other fossil fuels. Optimizing the gas flow through the network to meet this demand is challenging due to the nonconvex
Externí odkaz:
https://doaj.org/article/e8d9e37fb2f74ea883f34a6dddc775c9
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
Autor:
Yeison Nolberto Cardona-Álvarez, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño-Duque, German Castellanos-Dominguez
Publikováno v:
Sensors, Vol 23, Iss 7, p 3763 (2023)
An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation. It exploits robust hardware platforms and powerful software development kits to create
Externí odkaz:
https://doaj.org/article/04955b97398842b5b6f94848e8d7a370
Autor:
Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño-Duque, César Germán Castellanos-Domínguez
Publikováno v:
Sensors, Vol 23, Iss 5, p 2750 (2023)
Motor Imagery (MI) refers to imagining the mental representation of motor movements without overt motor activity, enhancing physical action execution and neural plasticity with potential applications in medical and professional fields like rehabilita
Externí odkaz:
https://doaj.org/article/3b5dd65274db47cabb4409c4e8b8df16
Autor:
Cristian Alfonso Jimenez-Castaño, Andrés Marino Álvarez-Meza, Oscar David Aguirre-Ospina, David Augusto Cárdenas-Peña, Álvaro Angel Orozco-Gutiérrez
Publikováno v:
Sensors, Vol 21, Iss 22, p 7741 (2021)
Peripheral nerve blocking (PNB) is a standard procedure to support regional anesthesia. Still, correct localization of the nerve’s structure is needed to avoid adverse effects; thereby, ultrasound images are used as an aid approach. In addition, im
Externí odkaz:
https://doaj.org/article/6a121e7284ca48b89d1884eee2c25d78
Autor:
Luis Ariosto Serna Cardona, Hernán Darío Vargas-Cardona, Piedad Navarro González, David Augusto Cardenas Peña, Álvaro Ángel Orozco Gutiérrez
Publikováno v:
Computation, Vol 8, Iss 4, p 104 (2020)
The recurrent use of databases with categorical variables in different applications demands new alternatives to identify relevant patterns. Classification is an interesting approach for the recognition of this type of data. However, there are a few a
Externí odkaz:
https://doaj.org/article/cd99e39fe7a14051b10468166a66a0e3