Documentos de Chau P.N. | REDI

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Palabras Claves: "Machine learning"

Subtipo de publicación

Conference Object(1)

Publisher

Frontiers in Big Data(1)

WIT Transactions on Ecology and the Environment(1)

Área temáticas

Ciencias de la computación(2)

Área de conocimiento

Aprendizaje automático(2)

Ciencia ambiental(1)

Ciencias de la computación(1)

Contaminación del aire(1)

Año de Publicación

Origen

Palabras Claves

air pollution(1)

air pollution forecasting(1)

data-driven modeling and optimization(1)

data-driven modelling(1)

Deep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito

Abstract: Weather Normalized Models (WNMs) are modeling methods used for assessing air contaminants under a bu

Palabras claves:

air pollution, covid-19, data-driven modeling and optimization, deep learning - artificial neural network (DL-ANN), Machine learning

Chau P.N., Rasa Zalakeviciute, Rybarczyk Y.P., Thomas I.

ENSEMBLE DEEP LEARNING FOR CLASSIFICATION OF POLLUTION PEAKS

Conference Object

Abstract: The concentration peaks of atmospheric pollutants are the most challenging and important phenomena i

Palabras claves:

air pollution forecasting, data-driven modelling, deep learning, Machine learning

Chau P.N., Rasa Zalakeviciute, Rybarczyk Y.P.