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Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-020-05311-x
Abstract: The k -nearest neighbor (KNN) rule is a simple and effective nonparametric classification algorithm in pattern classification. However, it suffers from several problems such as sensitivity to outliers and inaccurate classification decision rule. Thus, a…
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Keywords:
classification;
classifier;
nearest neighbor;
local mean ... See more keywords
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Published in 2020 at "Annals of Nuclear Medicine"
DOI: 10.1007/s12149-020-01550-y
Abstract: Non-local mean (NLM) filtering has been broadly used for denoising of natural and medical images. The NLM filter relies on the redundant information, in the form of repeated patterns/textures, in the target image to discriminate…
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Keywords:
non local;
local mean;
target image;
nlm approach ... See more keywords
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Published in 2017 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-017-2468-4
Abstract: Determining and forecasting the local mean sea level (MSL), which is a major indicator of global warming, is an essential issue to set public policies to save our future. Owing to its importance, MSL values…
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Keywords:
mean sea;
sea level;
local mean;
behavioral learning ... See more keywords
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Published in 2018 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/aa97f4
Abstract: Modal parameter identification is the first step in structural health monitoring of existing structures. Already, many powerful methods have been proposed for this concept and each method has some benefits and shortcomings. In this study,…
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Keywords:
parameter identification;
mean decomposition;
local mean;
modal parameter ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3194248
Abstract: Signal de-noising is one of challenging tasks in the slewing bearing performance degradation assessment due to the strong background noise and early weak fault characteristics. Adaptive digital driven methods like local mean decomposition (LMD) and…
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Keywords:
performance degradation;
decomposition;
local mean;
mean decomposition ... See more keywords
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Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3075186
Abstract: This article investigates quantitative supervisory control with local mean payoff objectives on discrete event systems modeled as weighted automata. Weight flows are generated as new events occur, which are required to satisfy some quantitative conditions.…
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Keywords:
control;
discrete event;
event systems;
local mean ... See more keywords