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Machine learning algorithms for forecasting the incidence of Coffea arabica pests and diseases
(2020-04-01)
Disease and pest alert models are able to generate information for agrochemical applications only when needed, reducing costs and environmental impacts. With machine learning algorithms, it is possible to develop models ...
Guava Waste to Sustain Guava (Psidium guajava) Agroecosystem: Nutrient Balance Concepts
(Frontiers Media Sa, 2016-08-29)
The Brazilian guava processing industry generates 5.5 M Mg guava waste year I that could be recycled sustainably in guava agro-ecosystems as slow-release fertilizer. Our objectives were to elaborate nutrient budgets and ...
Variabilidad hemodinámica por el uso de propofol versus tiopental en cirugía laparoscópica con inducción anestésica Hospital Carlos Lanfranco la Hoz 2016
(Universidad de San Martín de Porres, 2018)
Compara la variabilidad hemodinámica por el uso de propofol versus el de tiopental en cirugía laparoscópica con inducción anestésica en el Hospital Carlos Lanfranco La Hoz 2016. El presente estudio es de tipo descriptivo, ...
Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices
(2021-12-01)
Single-target regression can accurately predict the crop's performance but fails to generalize problems with more than one true and cross-validatable solution. An alternative to output multiple numeric values upon the ...
Exploring text classification methods in oncological medical notes using machine learning and deep learning
(Universidade do Vale do Rio dos Sinos, 2020-08-24)
With the preventive and personalized medicine advances, and technological improvements enabling better interaction from patients with their healthcare information, the volume of healthcare data gathered has increased. A ...
Exploring text classification methods in oncological medical notes using machine learning and deep learning
(Universidade do Vale do Rio dos Sinos, 2020-08-24)
With the preventive and personalized medicine advances, and technological improvements enabling better interaction from patients with their healthcare information, the volume of healthcare data gathered has increased. A ...
Diagnóstico de cáncer pulmonar a través de un análisis cuantitativo de imágenes de tomografía computarizada.
(2020)
El trabajo realizado consistió en el desarrollo de un código computacional capaz
de encontrar diferencias estadísticamente significativas entre imágenes de tomografía
computacional en poblaciones de pacientes con nódulos ...
Estudio de la normativa WCAG 2.0 y análisis de accesibilidad web para la creación de un prototipo de sistema experto basado en casos, que permita generar reportes de accesibilidad de páginas web, tomando como base un sitio web ecuatoriano
(2014-03)
In this final career project we have reviewed the main WCAG 2.0 guidelines to design a basic expert system prototype for automatic web accessibility reports generation. In the same way, we have created an accessible web ...
Evaluación de la precisión de acierto de un conjunto desbalanceado mediante la combinación de clasificadores
(UniRío Editora, 2019-04-20)
El campo de la ciencia de datos ha tenido muchos avances respecto a la aplicación y desarrollo de técnicas en el sector de la salud. Sin embargo, no se han encontrado trabajos que apliquen procesos o técnicas de aprendizaje ...
Brown rice authenticity evaluation by spark discharge-laser-induced breakdown spectroscopy
(Elsevier, 2019-06-08)
Rice is the most consumed food worldwide, therefore its designation of origin (PDO) is very useful. Laserinduced breakdown spectroscopy (LIBS) is an interesting analytical technique for PDO certification, since it provides ...