Mostrando 10 resultados de: 16
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Proceedings - 2022 48th Latin American Computing Conference, CLEI 2022(2)
2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings(1)
Artificial Intelligence in Medicine(1)
Computers and Electronics in Agriculture(1)
Computers in Biology and Medicine(1)
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Ciencias de la computación(9)
Programación informática, programas, datos, seguridad(4)
Agricultura y tecnologías afines(3)
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Funcionamiento de bibliotecas y archivos(2)
Autonomic Management of a Building's Multi-HVAC System Start-Up
ArticleAbstract: Most studies about the control, automation, optimization and supervision of building HVAC systems coPalabras claves:Autonomic computing, energy management, heating, Machine learning, multi-objective optimization, smart building, ventilation and air conditioning systemsAutores:De Mesa J.G., Gallego-Salvador N., Garcès-Jimènez A., Gómez-Pulido J.M., José Lisandro Aguilar Castro, R-Moreno M.D.Fuentes:scopusAn incremental learning approach to pbkp_rediction models of SEIRD variables in the context of the COVID-19 pandemic
ArticleAbstract: Several works have proposed pbkp_redictive models of the SEIRD (Susceptible, Exposed, Infected, RecoPalabras claves:covid-19, Machine learning, pbkp_rediction modelAutores:Ardila D., Camargo E., Francklin Rivas, José Lisandro Aguilar Castro, Quintero Y.Fuentes:scopusAnalysis of the Behavior Pattern of Energy Consumption through Online Clustering Techniques
ArticleAbstract: Analyzing energy consumption is currently of great interest to define efficient energy management stPalabras claves:Energy consumption, LAMDA, Machine learning, online clustering techniques, X-meansAutores:José Lisandro Aguilar Castro, Quintero-Gull C., Rodriguez-Moreno M.D., Viera J.Fuentes:scopusA Classification Model of Cotton Boll-Weevil Population
Conference ObjectAbstract: Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide applicationPalabras claves:cotton crop, Data Analysis, insect pest management, Machine learning, Pest control, Weather, XGBoostAutores:Caro M., Hoyos W., José Lisandro Aguilar Castro, Toro M., Toscano-Miranda R., Trebilcok A.Fuentes:scopusA Meta-Learning Architecture based on Linked Data
Conference ObjectAbstract: In Machine Learning (ML), there is a lot of research that seek to automate specific processes carriePalabras claves:Linked data, Machine learning, Meta-Knowledge, Meta-learningAutores:Dos Santos R., José Lisandro Aguilar Castro, Puerto E.Fuentes:scopusA clinical decision-support system for dengue based on fuzzy cognitive maps
ArticleAbstract: Dengue is a viral infection widely distributed in tropical and subtropical regions of the world. DenPalabras claves:Artificial Intelligence, Clinical decision-support system, DENGUE, diagnosis, Fuzzy Cognitive Maps, Machine learningAutores:Hoyos W., José Lisandro Aguilar Castro, Toro M.Fuentes:scopusA fuzzy classifier system for fault tolerance
ArticleAbstract: In this work, we propose to use a Fuzzy Classifier System for building a fault tolerance automated sPalabras claves:Classifier systems, Fault detection and diagnosis, fuzzy logic, Genetic Algorithms, Machine learning, Reliability-centered maintenanceAutores:José Lisandro Aguilar Castro, Mariela Cerrada LozadaFuentes:googlescopusA systematic literature review on the use of machine learning in precision livestock farming
ReviewAbstract: This article presents a systematic literature review of recent works on the use of machine learningPalabras claves:Animal health, Artificial Intelligence, Big Data Analytics, grazing, industry 4.0, Machine learning, Precision Livestock FarmingAutores:José Lisandro Aguilar Castro, Pinto A.D., Rodrigo G., Rodríguez P., Toro M.Fuentes:scopusContext Knowledge Extraction using Network Traffic Information
Conference ObjectAbstract: A growing trend in information technology is not just reacting to changes, but anticipating them asPalabras claves:Context-awareness, Data Analysis, Deep packet inspection, Machine learning, Network Traffic, OntologiesAutores:De Mesa J.G., Jerez M., José Lisandro Aguilar Castro, Montoya-Múnera E., Pinto A.D.Fuentes:scopusDengue models based on machine learning techniques: A systematic literature review
ReviewAbstract: Background: Dengue modeling is a research topic that has increased in recent years. Early pbkp_redicPalabras claves:DENGUE, Diagnostic model, Epidemic model, intervention model, Machine learningAutores:Hoyos W., José Lisandro Aguilar Castro, Toro M.Fuentes:scopus