Results 231 to 240 of about 128,875 (283)
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2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2022
In this era of digitalization where everyone prefers online-based transactional activities, this increases the demand for a credit card, the fraudulent cases are increasing day by day which causes tremendous loss to an individual.
Kanishka Negi +4 more
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In this era of digitalization where everyone prefers online-based transactional activities, this increases the demand for a credit card, the fraudulent cases are increasing day by day which causes tremendous loss to an individual.
Kanishka Negi +4 more
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2022 IEEE International Test Conference India (ITC India), 2022
Internet of Things (IoT) has become extremely prominent for industrial applications and stealthy modification deliberately done by insertion of Hardware Trojans has increased widely due to globalization of Integrated Circuit (IC) production.
S. Meenakshi, Nirmala Devi M
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Internet of Things (IoT) has become extremely prominent for industrial applications and stealthy modification deliberately done by insertion of Hardware Trojans has increased widely due to globalization of Integrated Circuit (IC) production.
S. Meenakshi, Nirmala Devi M
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Time Alignment Method for Wide-area Measurement Data Based On Local Outlier Factor Algorithm
2025 IEEE Kiel PowerTechThe timestamp shift exists in the data collection of wide-area measurement system. This paper presents an integrated time alignment method that includes the detection of data with timestamp shift and the corresponding alignment process. Firstly, the data
Nibijiang Aili +4 more
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The International Journal of Advanced Manufacturing Technology, 2019
In this research, we proposed a real-time chatter detection and suppression module for intelligent spindle to increase machining efficiency and processing yield. For early detections of chatters, the relative wavelet packet energy entropy with high sensitivity in the high-frequency band and the local outlier factor (LOF) algorithm were utilized as ...
Yung-Chen Yao +3 more
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In this research, we proposed a real-time chatter detection and suppression module for intelligent spindle to increase machining efficiency and processing yield. For early detections of chatters, the relative wavelet packet energy entropy with high sensitivity in the high-frequency band and the local outlier factor (LOF) algorithm were utilized as ...
Yung-Chen Yao +3 more
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Active Semi-supervised Affinity Propagation Clustering Algorithm Based on Local Outlier Factor
2018 37th Chinese Control Conference (CCC), 2018Clustering algorithm can reveal the inherent properties and laws of data through the learning of unlabeled data. However, interference data exists in some fields of different data forms, and the clustering will reduce the credibility of clustering results without processing data.
Lei Qi, Li Ting
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Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm
IJCRS, 2023Czesław Horyń +1 more
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Enhancement of the Local Outlier Factor Algorithm for Anomaly Detection in Time Series
Symposium on Designing Interactive SystemsDaniel Barrish, Jan van Vuuren
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A Comparative Study of Local Outlier Factor Algorithms for Outliers Detection in Data Streams
2018Outlier detection analyzes data, finds out anomalies, and helps to discover unforeseen activities in safety crucial systems. Outlier detection helps in early prediction of various fraudulent activities like credit card theft, fake insurance claim, tax stealing, real-time monitoring, medical systems, online transactions, and many more.
Supriya Mishra, Meenu Chawla
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