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Autores Gonzalez Preto, Fredy Alexander, Avendaño Fernández, Eduardo, Salcedo Parra, Octavio José
Publicado 2024-01-01
Descripción:
“...An irrigation monitoring system is implemented by applyingartificial intelligence to assist the farmer with two key tasks: i) the activation ofthe drip irrigation system seeking the efficient use of water, and ii) improving fruitproduction by controlling the percentage of nutrients. ...”Publicado 2024-01-01
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Autores Solaque Guzmán, Leonardo Enrique, Avendaño Flórez, Daniel Ricardo, Molina Villa, Manuel Alejandro, Pulido Rojas, Camilo Andrés
Publicado 2015-12-13
Palabra clave:
“...Control Systems...”Publicado 2015-12-13
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Autores Calderón, Hebert Alberto, Mejía Moncayo, Camilo, Cobo Campo, Luis Armando
Publicado 2017-06-21
Palabra clave:
Publicado 2017-06-21
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Autores López-Velásquez, Julián, Acosta-Amaya, Gustavo Alonso, Jimenez-Builes, Jovani Alberto
Publicado 2024-07-01
Descripción:
“...Objective: This study aimed to develop a control architecture for reactive autonomous navigation of a mobile robot by integrating Deep Learning techniques and fuzzy behaviors based on traffic signal recognition. ...”Publicado 2024-07-01
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Descripción:
“...A Mobile Ad-hoc Network (MANET) ¡s an autcnomous system of mobile hosts (MHs) with similar transmission power and computation capabilities that communicate over relatively bandwidth constrained wireless links. ...”
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Autores Zurc, Danny, Arias-Correa, Mauricio, Serrano-García, Jakeline, Valencia-Díaz, Edison, Taborda Hernández, Andrés Esteban, Rodríguez Rodríguez, Johan Andrey
Publicado 2019-01-01
Palabra clave:
Publicado 2019-01-01
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Autores Valencia-Díaz, Edison, Rodríguez Rodríguez, Johan Andrey, Taborda Hernández, Andrés Esteban, Serrano-García, Jakeline, Arias-Correa, Mauricio, Zurc, Danny
Publicado 2019-01-01
Palabra clave:
Publicado 2019-01-01
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Descripción:
“...The method used for performance evaluation is done by measuring the energy consumption in the migration of mobile intelligent agents among the sensor nodes of the system and calculating the convergence time of the network, defined as the time it takes for the network to move from one state to another; in experiments it refers to the delay in changing the sampling time for the entire network. ...”