A weighted ensemble model for prediction of infectious diseases
Background: The ensemble building is a common method to improve the performance of the
model in case of regression as well as classification. Objective: In this paper we propose a …
model in case of regression as well as classification. Objective: In this paper we propose a …
Convolutional adversarial neural network (CANN) for fault diagnosis within a power system: addressing the challenge of event correlation for diagnosis by power …
S Chan, I Oktavianti, V Puspita… - … on Information and …, 2019 - ieeexplore.ieee.org
Fault diagnostics have become a primary concern within the domain of power system
engineering, particularly for distribution utilities. Early and accurate fault diagnostics within a …
engineering, particularly for distribution utilities. Early and accurate fault diagnostics within a …
Adaptive learning with surrogate assisted training models for acoustic source classification
G Zucatelli, R Coelho, L Zão - IEEE Sensors Letters, 2019 - ieeexplore.ieee.org
This article presents an adaptive learning solution for the selection of surrogate assisted
training models. The main issue is to improve classification of acoustic sources considering …
training models. The main issue is to improve classification of acoustic sources considering …