Results 21 to 30 of about 1,946,882 (294)
International Journal of Distributed Sensor Networks, 2022 One of the fundamental problems in sensor networks is to estimate and track the target states of interest that evolve in the sensing field. Distributed filtering is an effective tool to deal with state estimation in which each sensor only communicates ...
Teng Shao
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IET Radar, Sonar & Navigation, 2021 The issue of aircraft tracking using passive sensors with poor measurement precision and a variable update rate is investigated. First, the need for a time‐dependent Markov chain transition matrix for the Interacting Multiple Model (IMM) is thoroughly ...
Petr Lukeš, Milan Říha
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International Journal of Mathematics and Mathematical Sciences, 2022 In this research, the normalization performance of the proposed adjusted min-max methods was compared to the normalization performance of statistical column, decimal scaling, adjusted decimal scaling, and min-max methods, in terms of accuracy and mean ...
Saichon Sinsomboonthong
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Modeling Significant Wave Heights for Multiple Time Horizons Using Metaheuristic Regression Methods
Mathematics, 2023 The study examines the applicability of six metaheuristic regression techniques—M5 model tree (M5RT), multivariate adaptive regression spline (MARS), principal component regression (PCR), random forest (RF), partial least square regression (PLSR) and ...
Rana Muhammad Adnan Ikram +5 more
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IET Wireless Sensor Systems, 2021 In wireless localization systems, the performance enhancement of location estimation is an important goal. In recent years, different positioning systems using an ultra‐wide band (UWB) technology have been created, and always an evaluation metric to test
Abbas Albaidhani, Ahlam Alsudani
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Remote Sensing, 2023 The soil moisture from the South-to-North Water Diversion Middle Route Project is assessed in this study. Complex and variable geological conditions complicate the prediction of soil moisture in the study area.
Qingfeng Hu +10 more
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A New Nonparametric Method for Prediction Based on Mean Squared Relative Errors [PDF]
Communications for Statistical Applications and Methods, 2008 It is common in practice to use mean squared error(MSE) for prediction. Recently, Park and Shin (2005) and Jones et al. (2007) studied prediction based on mean squared relative error(MSRE). We proposed a new nonparametric way of prediction based on MSRE substituting Jones et al.
Seok-Oh Jeong, Key-Il Shin
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Mean square cross error: performance analysis and applications in non-Gaussian signal processing
EURASIP Journal on Advances in Signal Processing, 2021 Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large.
Yunxiang Zhang +3 more
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A chain regression exponential type imputation method for mean estimation in the presence of missing data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 Imputation methods deal with item nonresponse to solve the missing data problem. A new imputation method and corresponding point estimators for population mean have been proposed under two situations: using the response rate and the constant that gives
Kanisa Chodjuntug, Nuanpan Lawson
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IEEE Access, 2017 Industry 4.0 is gaining more attention from the public, and thus the correlation between factories and nearby environmental pollution sources is a subject worth in-depth research.
Jui-Hung Chang, Chien-Yuan Tseng
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