Results 1 to 10 of about 5,162 (125)
Adaptable and Robust EEG Bad Channel Detection Using Local Outlier Factor (LOF) [PDF]
Sensors, 2022 Electroencephalogram (EEG) data are typically affected by artifacts. The detection and removal of bad channels (i.e., with poor signal-to-noise ratio) is a crucial initial step.
Velu Prabhakar Kumaravel +3 more
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Outlier Detection Credit Card Transactions Using Local Outlier Factor Algorithm (LOF)
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Threats or fraud for credit card owners and banks as service providers have been harmed by the actions of perpetrators of credit card thieves. All transaction data are stored in the bank's database, but are limited in information and cannot be used as a ...
Silvano Sugidamayatno, Danang Lelono
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Outlier Detection and Explanation Method Based on FOLOF Algorithm [PDF]
EntropyOutlier mining constitutes an essential aspect of modern data analytics, focusing on the identification and interpretation of anomalous observations. Conventional density-based local outlier detection methodologies frequently exhibit limitations due to ...
Lei Bai, Jiasheng Wang, Yu Zhou
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Highly accurate anomaly based intrusion detection through integration of the local outlier factor and convolutional neural network [PDF]
Scientific ReportsIntrusion detection systems (IDS) are critical for safeguarding computer networks by identifying malicious activities. However, distinguishing attacks in IDSs with high accuracy is challenging.
Rahimullah Rabih +3 more
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Rockburst intensity grading prediction based on the LOF-ENN-KNN model [PDF]
Scientific ReportsRockburst is a typical dynamic disaster in deep underground engineering, and its accurate prediction is of great significance to ensure the safety of engineering.
Haoran Ge +5 more
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A Data-Driven Loose Contact Diagnosis Method for Smart Meters [PDF]
SensorsIn smart meters, loose contact at screw terminals can lead to prolonged overheating and arcing, posing significant fire hazards. To mitigate these risks through early fault detection, this study proposes a data-driven framework integrating the Local ...
Wenpeng Luan +5 more
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Discrimination among Winding Mechanical Defects in Transformer Using Noise Detection and Data Mining Boosting Method [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2021 IIn this paper, an efficient method to detect and discriminate mechanical defects of transformer winding based on extracting the winding frequency responses using outlier data detection and ensemble algorithms ,which in total constitutes an efficient ...
Zahra Moravej +2 more
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Hybrid Machine Learning–Statistical Method for Anomaly Detection in Flight Data
Applied Sciences, 2022 This paper investigates the use of an unsupervised hybrid statistical–local outlier factor algorithm to detect anomalies in time-series flight data. Flight data analysis is an activity carried out by airlines primarily as a means of improving the safety ...
Sameer Kumar Jasra +3 more
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Energies, 2022 In modern complex industrial processes, mode changes cause unplanned shutdowns, potentially shortening the lifespan of key equipment and incurring significant maintenance costs.
Minseok Kim +6 more
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IEEE Access, 2021 In the hot rolling process, the prediction of strip crown is the key factor to improve the flatness quality of the strip. However, the traditional prediction method can only provide prediction values, but does not quantitatively evaluate the prediction ...
Yan Wu, Xu Li, Feng Luan, Yaodong He
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