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Outlier Detection Techniques for Wireless Sensor Networks: A Survey [PDF]
IEEE Communications Surveys and Tutorials, 2010 In the field of wireless sensor networks, those measurements that significantly deviate from the normal pattern of sensed data are considered as outliers.
Nirvana Meratnia, Paul Havinga
exaly +6 more sources
What Is the Outlier—Consistent Outlier or Inconsistent Outlier?
Analytical Science AdvancesIn the design of molecules, materials and processes, outliers or outlier samples can be included in a dataset when performing machine learning or regression analysis.
Hiromasa Kaneko
doaj +3 more sources
A Survey of Outlier Detection Methodologies [PDF]
Artificial Intelligence Review, 2004 Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simply ...
Jim Austin
exaly +7 more sources
Use the robust RFCH method with a polychoric correlation matrix in structural equation modeling When you are ordinal data [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 Structural Equation Modeling is a statistical methodology commonly used in the social and administrative sciences and all other. In this research, the researcher made a comparison between methods of estimation Unweighted Least Squares with Mean and ...
Omar Salim, Mohammed Mohammed
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Online Bivariate Outlier Detection in Final Test Using Kernel Density Estimation [PDF]
, 2011 In parametric IC testing, outlier detection is applied to filter out potential unreliable devices. Most outlier detection methods are used in an offline setting and hence are not applicable to Final Test, where immediate pass/fail decisions are required.
Bossers, H.C.M. +2 more
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Study on the Technology Trend Screening Framework Using Unsupervised Learning
Applied Sciences, 2022 Outliers that deviate from a normal distribution are typically removed during the analysis process. However, the patterns of outliers are recognized as important information in the outlier detection method.
Junseok Lee, Sangsung Park, Juhyun Lee
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Remote Sensing, 2022 Heavy metal concentrations of Cd, As, Pb, Cu, Cr, and Hg were investigated for 86 soil samples in Jinzhou near the Bohai Sea in China, in order to identify what anthropological activities influenced their distribution levels. Ordinary cokriging (OCK) was
Ling Zeng +3 more
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On Selection Criteria for the Tuning Parameter in Robust Divergence
Entropy, 2021 Although robust divergence, such as density power divergence and γ-divergence, is helpful for robust statistical inference in the presence of outliers, the tuning parameter that controls the degree of robustness is chosen in a rule-of-thumb, which may ...
Shonosuke Sugasawa, Shouto Yonekura
doaj +1 more source
International Journal of STEM Education, 2020 Background As the number of computer science (CS) jobs become increasingly available in this country and computing skills become essential tools for managing all aspects of our personal lives, CS is quickly becoming an essential element of K-12 education
Jeanne Century +2 more
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Identification and classification of Serbia's historic floods [PDF]
Glasnik Srpskog Geografskog Društva, 2009 River flooding in Serbia is a natural phenomenon which largely exceeds the scope of water management and hydraulic engineering, and has considerable impact on the development of Serbian society.
Prohaska Stevan +3 more
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