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Edgar Acuna, Roxana Aparicio and Velcy Palomino
In this paper we investigate the effect of two preprocessing techniques, data imputation and smoothing, in the prediction of blood glucose level in type 1 diabetes patients, using a novel deep learning model called Transformer. We train three models: XGB...
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Xiao Xu, Xuehan Zhang, Zhongxu Bao, Xiaojie Yu, Yuqing Yin, Xu Yang and Qiang Niu
Hand gesture recognition is an essential Human?Computer Interaction (HCI) mechanism for users to control smart devices. While traditional device-based methods support acceptable recognition performance, the recent advance in wireless sensing could enable...
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Zhongjie He, Yueqi Zhao, Xiachuan Fu, Xin Sheng and Siwen Xu
Motivated by the need for a simple and effective assimilation scheme that could be used in a relocatable ocean model, a new assimilation algorithm called ensemble optimal smoothing (EnOS) was developed. This scheme was a straightforward extension of the ...
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Xinchun Zhang, Ximin Cui and Bo Huang
The detection of track geometry parameters is essential for the safety of high-speed railway operation. To improve the accuracy and efficiency of the state detector of track geometry parameters, in this study we propose an inertial GNSS odometer integrat...
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Elba Ramos-Ibarra,Eliud Silva
Pág. 401 - 420
Trends and forecasts of the main atmospheric pollutants (O3, SO2, NO2, CO, PM10, PM2.5, NO and NOx) are estimated by regions in the Mexico City Metropolitan Area (MCMA) with maximum daily data from 2008 to 2018. A non-parametric statistical smoothing con...
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Eduardo Campos, Rubens Penha Cysne
Pág. 5 - 38
Este artigo avalia a sustentabilidade da dívida pública brasileira usando dados mensais de janeiro de 2003 a junho de 2016 com base na estimação de funções de reação fiscal cujos coeficientes variam ao longo do tempo. Consideramos três métodos de estimaç...
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Pyung Soo Kim
In this paper, a state estimation problem is considered for a target tracking scheme in wireless network environments. Firstly, a unified algorithm of finite memory structure (FMS) filtering and smoothing is proposed for a discrete-time state-space model...
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Peter Mitic
Assuming that a time series incorporates ?signal? and ?noise? components, we propose a method to estimate the extent of the ?noise? component by considering the smoothing properties of the state-space of the time series. A mild degree of smoothing in the...
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Juan-Bautista Tomas-Gabarron, Esteban Egea-Lopez and Joan Garcia-Haro
Nowadays, research on Vehicular Technology aims at automating every single mechanical element of vehicles, in order to increase passengers? safety, reduce human driving intervention and provide entertainment services on board. Automatic trajectory tracin...
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