Documentos de Toro M. | REDI

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Filtros aplicados

Objetivos de Desarrollo Sostenible: "ODS 9: Industria, innovación e infraestructura"

Subtipo de publicación

Conference Object(2)

Publisher

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

Computers and Electronics in Agriculture(1)

Health Care Management Science(1)

Journal of Industrial Information Integration(1)

Área temáticas

Agricultura y tecnologías afines(3)

Ciencias de la computación(3)

Enfermedades(2)

Funcionamiento de bibliotecas y archivos(2)

Área de conocimiento

Ciencias de la computación(5)

Aprendizaje automático(2)

Análisis de datos(1)

Ciencias Agrícolas(1)

Objetivos de Desarrollo Sostenible

ODS 2: Hambre cero(4)

ODS 3: Salud y bienestar(3)

ODS 12: Producción y consumo responsables(2)

ODS 17: Alianzas para lograr los objetivos(2)

ODS 8: Trabajo decente y crecimiento económico(2)

Año de Publicación

Origen

Palabras Claves

Machine learning(4)

Artificial Intelligence(3)

Precision Livestock Farming(3)

Autonomic computing(2)

Clinical decision-support system(2)

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.

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.

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.

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.