Documentos de Toro M. | REDI

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Mostrando 10 resultados de: 18

Subtipo de publicación

Conference Object(2)

Publisher

2021 IEEE Symposium Series on Computational Intelligence Ssci 2021 Proceedings(1)

2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings(1)

Applied Ontology(1)

Applied Soft Computing(1)

Área temáticas

Métodos informáticos especiales(8)

Ciencias de la computación(5)

Agricultura y tecnologías afines(4)

Medicina y salud(4)

Área de conocimiento

Ciencias de la computación(9)

Aprendizaje automático(4)

Análisis de datos(3)

Ciencia agraria(3)

Objetivos de Desarrollo Sostenible

ODS 2: Hambre cero(8)

ODS 9: Industria, innovación e infraestructura(8)

ODS 17: Alianzas para lograr los objetivos(7)

ODS 3: Salud y bienestar(7)

ODS 12: Producción y consumo responsables(6)

Año de Publicación

Origen

Palabras Claves

Machine Learning(7)

Artificial intelligence(6)

Data Analysis(3)

Fuzzy Cognitive Maps(3)

A Classification Model of Cotton Boll-Weevil Population

Conference Object

Abstract: Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide application

Palabras claves:

cotton crop, Data Analysis, insect pest management, Machine Learning, Pest control, Weather, XGBoost

Caro M., Hoyos W., José Lisandro Aguilar Castro, Toro M., Toscano-Miranda R., Trebilcok A.

A clinical decision-support system for dengue based on fuzzy cognitive maps

Abstract: Dengue is a viral infection widely distributed in tropical and subtropical regions of the world. Den

Palabras claves:

Artificial intelligence, Clinical decision-support system, DENGUE, diagnosis, Fuzzy Cognitive Maps, Machine Learning

Hoyos W., José Lisandro Aguilar Castro, Toro M.

A sustainable-development approach for self-adaptive cyber–physical system's life cycle: A systematic mapping study

Abstract: Cyber–Physical Systems (CPS) refer to a new generation of systems where the cyber and physical layer

Palabras claves:

cyber-physical systems, Self-adaptive systems, sustainability, Systems-development life-cycle

José Lisandro Aguilar Castro, Restrepo L., Suescún E., Toro M.

A systematic literature review on the use of machine learning in precision livestock farming

Abstract: This article presents a systematic literature review of recent works on the use of machine learning

Palabras claves:

Animal health, Artificial intelligence, Big Data Analytics, grazing, Industry 4.0, Machine Learning, Precision Livestock Farming

José Lisandro Aguilar Castro, Pinto A.D., Rodrigo G., Rodríguez P., Toro M.

Weight-Identification Model of Cattle Using Machine-Learning Techniques for Anomaly Detection

Conference Object

Abstract: Cattle raising is an important economic activity, where livestock entrepreneurs keep track of their

Palabras claves:

Anomaly detection, identification system, Machine Learning, Precision Livestock Farming

Jiménez M., José Lisandro Aguilar Castro, Rodrigo G., Toro M.

Autonomic computing in a beef-production process for Precision Livestock Farming

Abstract: Precision livestock farming (PLF) offers farmers real-time monitoring and management system. PLF pro

Palabras claves:

Artificial intelligence, Autonomic computing, Beef production, data analytics, Industry 4.0, Precision Livestock Farming

José Lisandro Aguilar Castro, Pérez N., Pinto A.D., Rodrigo G., Rodríguez P., Toro M.

Dengue models based on machine learning techniques: A systematic literature review

Abstract: Background: Dengue modeling is a research topic that has increased in recent years. Early prediction

Palabras claves:

DENGUE, Diagnostic model, Epidemic model, intervention model, Machine Learning

Hoyos W., José Lisandro Aguilar Castro, Toro M.

Artificial-intelligence and sensing techniques for the management of insect pests and diseases in cotton: A systematic literature review

Abstract: Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide application

Palabras claves:

Internet of Things, Key words Image processing, Machine Learning, pest detection, precision agriculture, Remote Sensing, Smart agriculture

A. Marulanda, Caro M., José Lisandro Aguilar Castro, Marulanda A., Toro M., Toscano-Miranda R., Trebilcok A.

An autonomous cycle of data analysis tasks for the clinical management of dengue

Abstract: Dengue is the most widespread vector-borne disease worldwide. Timely diagnosis and treatment of deng

Palabras claves:

Autonomic computing, Clinical decision-support system, computational intelligence, Data Analysis, DENGUE

Hoyos W., José Lisandro Aguilar Castro, Toro M.

Modeling the risk of infectious diseases transmitted by aedes aegypti using survival and aging statistical analysis with a case study in colombia

Abstract: Many infectious diseases are deadly to humans. The Aedes aegypi mosquito is the principal vector of

Palabras claves:

Convex transform order, Exponential, gompertz, logistic, and weibull distributions, Mann–whitney test, Mosquitoes, Reliability theory, Spline, Statistical robustness, vector-borne diseases

Alexandra Catano-Lopez, Henry Laniado, Leiva V., Toro M., Velasco H., Yuhlong Lio