Results 31 to 40 of about 48,666 (293)
A Comparative Study for Outlier Detection Strategies Based On Traditional Machine Learning For IoT Data Analysis. [PDF]
IJCI International Journal of Computers and Information, 2022 Internets of Things (IoT) systems are increasing very fast. They have different types of wireless sensor networks (WSN) behind them. These networks have many applications that are a portion of our life such as healthcare, agricultural, mechanical, and ...
Khalid Amin +2 more
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Power Frequency Adaptive Suppression Method Based on Local Outlier Factor of Frequency Density [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2023 Bioelectric signals belong to weak low-frequency signals with strong noise, therefore it is necessary to filter out power frequency interference. In order to ensure the accuracy and effectiveness of the filtering during power frequency offset, local ...
HUANG Zijuan, TU Juan, DAI Zunxiang
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An Outlier Detection Approach Based on Improved Self-Organizing Feature Map Clustering Algorithm
IEEE Access, 2019 Local Outlier Factor (LOF) outlier detecting algorithm has good accuracy in detecting global and local outliers. However, the algorithm needs to traverse the entire dataset when calculating the local outlier factor of each data point, which adds extra ...
Ping Yang +4 more
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Dynamic graph embedding for outlier detection on multiple meteorological time series.
PLoS ONE, 2021 Existing dynamic graph embedding-based outlier detection methods mainly focus on the evolution of graphs and ignore the similarities among them. To overcome this limitation for the effective detection of abnormal climatic events from meteorological time ...
Gen Li, Jason J Jung
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Zhongguo Jianchuan Yanjiu, 2022 ObjectivesIn response to the increasing depth of research and design on liquefied natural gas (LNG) ship structures, higher requirements are put forward for a reliability analysis method that can quickly and accurately evaluate uncertain factors.
Xuejian LI +3 more
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Robust Incremental Outlier Detection Approach Based on a New Metric in Data Streams
IEEE Access, 2021 Detecting outliers in real time from multivariate streaming data is a vital and challenging research topic in many areas. Recently introduced the incremental Local Outlier Factor (iLOF) approach and its variants have received considerable attention as ...
Ali Degirmenci, Omer Karal
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Hardware Trojan Detection Method Based on Enhanced Local Outlier Factor
IEICE Transactions on Fundamentals of Electronics, Communications and Computer SciencesTingyuan Nie, Jingjing NIE, Kun Zhao
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Energy Reports, 2023 The missing and abnormal data in power transformer operation and monitoring greatly affect the accuracy of fault diagnosis and thus threaten the stable operation of power systems.
Dexu Zou +9 more
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A Two-Level Approach based on Integration of Bagging and Voting for Outlier Detection
Journal of Data and Information Science, 2020 The main aim of this study is to build a robust novel approach that is able to detect outliers in the datasets accurately. To serve this purpose, a novel approach is introduced to determine the likelihood of an object to be extremely different from the ...
Dogan Alican, Birant Derya
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Energies, 2023 The accurate detection of wind power outliers plays a crucial role in wind power forecasting, while the inherited strong randomness and high fluctuations bring great challenges to this issue.
Jingtao Huang, Jin Qin, Shuzhong Song
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