Mostrando 4 resultados de: 4
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Publisher
Cobep 2023 17th Brazilian Power Electronics Conference and Spec 2023 8th IEEE Southern Power Electronics Conference Proceedings(1)
Encyclopedia of Electrical and Electronic Power Engineering Volumes 1 3(1)
Engineering Applications of Artificial Intelligence(1)
Ingeniare(1)
Área temáticas
Física aplicada(4)
Métodos informáticos especiales(3)
Otras ramas de la ingeniería(2)
Ciencias de la computación(1)
Economía de la tierra y la energía(1)
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Aprendizaje automático(1)
Aprendizaje profundo(1)
Big data(1)
Ciencias de la computación(1)
Ingeniería de sistemas(1)
Objetivos de Desarrollo Sostenible
ODS 7: Energía asequible y no contaminante(3)
ODS 9: Industria, innovación e infraestructura(3)
ODS 12: Producción y consumo responsables(2)
ODS 17: Alianzas para lograr los objetivos(2)
ODS 8: Trabajo decente y crecimiento económico(2)
Origen
scopus(4)
Visual-aid positioning using point cloud compression and RGB-D cameras for robotic manipulators
ArticleAbstract: Over the last decade, optimization of a massive set of industrial tasks has been achieved by takingPalabras claves:Computer Vision, Machine Learning, point cloud compression, Robotic manipulators, Stereo visionAutores:Álvaro Javier Prado, Estefan Iván Cisternas Velásquez, Julio Andrés Del Río Caldumbide, Menendez O.Fuentes:scopusIntelligent Control of an Active Front-End Converter: Deep Reinforcement Learning Approach
OtherAbstract: Deep reinforcement learning-based algorithms exhibit significant potential in developing robust modePalabras claves:Active Front-End, deep reinforcement learning, Machine Learning, neural networksAutores:Álvaro Javier Prado, Diana López, Flores-Bahamonde F., Menendez O., Rodriguez J.Fuentes:scopusBig Data applications in power systems
OtherAbstract: In the last years, the term Big Data (BD) is becoming ubiquitous in almost every scientific field giPalabras claves:Artificial intelligence, BIG DATA, Big Data Analytics, data mining, Machine Learning, Power systemsAutores:Álvaro Javier Prado, Arboleya P., Xavier DominguezFuentes:scopusMachine-learning based approaches for self-tuning trajectory tracking controllers under terrain changes in repetitive tasks
ArticleAbstract: The use of resources in autonomous vehicles when manoeuvring along changing terrain is an issue yetPalabras claves:Energy consumption, Machine Learning, Motion controller, Robot self-tuning, Wheel-Terrain InteractionAutores:Álvaro Javier Prado, Cheein F.A.A., Michałek M.M.Fuentes:scopus