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Published in 2024 at "Water Resources Management"
DOI: 10.1007/s11269-023-03664-0
Abstract: Using hydrodynamic models to carry out early warning and flash floods forecasting is an essential measure for loss reduction. Nevertheless, many current hydrodynamic models lack the necessary forecasting timeliness. To address this limitation, a method…
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Keywords:
knn algorithm;
rapid forecast;
flash flood;
model ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3243625
Abstract: As the damage of the gearbox of wind turbines (WTs) will cause economic losses, it is necessary to conduct online condition monitoring (CM) on the gearbox. Most WTs are equipped with SCADA system, and CM…
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Keywords:
condition monitoring;
knn algorithm;
active learning;
wind ... See more keywords
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Published in 2022 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2022.3147743
Abstract: Due to the so-called curse of dimensionality and increase in the size of databases, there is an ever-increasing demand for computing resources and memory bandwidth when performing the k-nearest neighbors (kNNs) algorithm, resulting in a…
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Keywords:
random projection;
projection;
rpknn;
tex math ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4966439
Abstract: In order to better understand the purchase decision-making process of consumers, this paper makes an in-depth study on the precision marketing of e-commerce products on the basis of KNN algorithm. Through data mining, classic KNN…
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Keywords:
commerce;
agricultural products;
marketing commerce;
marketing ... See more keywords