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2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings(1)
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scopus(9)
Autonomic computing in a beef-production process for Precision Livestock Farming
ArticleAbstract: Precision livestock farming (PLF) offers farmers real-time monitoring and management system. PLF proPalabras claves:Artificial Intelligence, Autonomic computing, Beef production, data analytics, industry 4.0, Precision Livestock FarmingAutores:José Lisandro Aguilar Castro, Pérez N., Pinto A.D., Rodrigo G., Rodríguez P., Toro M.Fuentes:scopusAn autonomous cycle of data analysis tasks for the clinical management of dengue
ArticleAbstract: Dengue is the most widespread vector-borne disease worldwide. Timely diagnosis and treatment of dengPalabras claves:Autonomic computing, Clinical decision-support system, computational intelligence, Data Analysis, DENGUEAutores:Hoyos W., José Lisandro Aguilar Castro, Toro M.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 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 sustainable-development approach for self-adaptive cyber–physical system's life cycle: A systematic mapping study
ArticleAbstract: Cyber–Physical Systems (CPS) refer to a new generation of systems where the cyber and physical layerPalabras claves:Cyber–physical systems, Self-adaptive systems, Sustainability, Systems-development life-cycleAutores:José Lisandro Aguilar Castro, Restrepo L., Suescún E., Toro M.Fuentes:scopusA 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: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:scopusArtificial-intelligence and sensing techniques for the management of insect pests and diseases in cotton: A systematic literature review
ReviewAbstract: Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide applicationPalabras claves:internet of things, Key words Image processing, Machine learning, pest detection, PRECISION AGRICULTURE, remote sensing, Smart agricultureAutores:Caro M., José Lisandro Aguilar Castro, Marulanda A., Toro M., Toscano-Miranda R., Trebilcok A.Fuentes:scopusWeight-Identification Model of Cattle Using Machine-Learning Techniques for Anomaly Detection
Conference ObjectAbstract: Cattle raising is an important economic activity, where livestock entrepreneurs keep track of theirPalabras claves:Anomaly detection, identification system, Machine learning, Precision Livestock FarmingAutores:Jiménez M., José Lisandro Aguilar Castro, Rodrigo G., Toro M.Fuentes:scopus