Results 241 to 250 of about 128,875 (283)

Abnormal Data Detection Based on Adaptive Sliding Window and Weighted Multiscale Local Outlier Factor for Machinery Health Monitoring

IEEE transactions on industrial electronics (1982. Print), 2023
Identifying abnormal data to improve data quality is of great importance for machinery health monitoring (MHM). Existing abnormal data detection methods generally depend on appropriate parameter settings and prior knowledge of data distribution, which ...
Qinglin Xie, G. Tao, Chenxi Xie, Z. Wen
semanticscholar   +1 more source

Comparative Analysis of Elliptic Envelope, Isolation Forest, One-Class SVM, and Local Outlier Factor in Detecting Earthquakes with Status Anomaly using Outlier

2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE), 2023
In Indonesia, large earthquakes happen frequently. Due to the location of Indonesia, over three active tectonic plates, fractures and trenches have formed on both the land and ocean floor.
Nasir Usman, Ema Utami, A. Hartanto
semanticscholar   +1 more source

Improving Link Prediction in Network Representation Learning with Feature Fusion and Local Outlier Factor

Fusion: Practice and Applications, 2023
Complex networks are a diverse set of networks found in various fields, such as social, technological, and biological networks. One important task in complex network analysis is link prediction, which involves detecting missing links or predicting future
A. Al-furas, M. Alrahmawy, W. Al-Adrousy, S. Elmougy   +3 more
semanticscholar   +1 more source

Thermal Runaway Fault Diagnosis for Battery Systems Based on Correlation Coefficient and Local Outlier Factor

International Conference on Mechanical and Electronics Engineering, 2023
Thermal runaway fault warning for power battery and timely detection of faulty cell can effectively extend the service life of power battery systems and further promote the popularization of electric vehicles.
Yongqiang Jia, Zhengchao Lei, Jian Ma, Xiangli Kang   +3 more
semanticscholar   +1 more source

SST-LOF: Container Anomaly Detection Method Based on Singular Spectrum Transformation and Local Outlier Factor

IEEE Transactions on Cloud Computing
In recent years, the use of container cloud platforms has experienced rapid growth. However, because containers are operating-system-level virtualization, their isolation is far less than that of virtual machines, posing considerable challenges for multi-
Shilei Bu, Minpeng Jin, Jie Wang, Yulai Xie, Liangkang Zhang   +4 more
semanticscholar   +1 more source

Enhancing Endpoint Security Through AI Powered Anomaly Detection in Endpoint Logs using Local Outlier Factor (LOF)

2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)
In today's digital era cybersecurity landscape, endpoint security remains a critical concern due to the increasing sophistication of cyber threats.
A. Mohideen, P. Krishna Sai, Y. S. Basha, S. Sohel, Y. V. Reddy   +4 more
semanticscholar   +1 more source

Autonomous Recursive Local Outlier Factor (ARLOFF)

2025 6th International Conference on Artificial Intelligence and Data Sciences (AiDAS)
This paper introduces the Autonomous Recursive Local Outlier Factor (ARLOFF), an outlier detection method that operates without requiring any user-defined parameters.
Muhammad Yunus Iqbal Basheer, Azliza Mohd Ali, Sharifalillah Nordin, Nurzeatul Hamimah Abdul Hamid   +3 more
semanticscholar   +1 more source

Hardware Trojan Detection Method Based on Enhanced Local Outlier Factor

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
SUMMARY The globalization of the Integrated Circuit (IC) supply chain has introduced the risk of Hardware Trojan (HT) insertion. We propose an unsupervised Hardware Trojan detection method based on the Enhanced Local Outlier Factor (ELOF) algorithm to ...
Tingyuan Nie, Jingjing Nie, Kun Zhao
semanticscholar   +1 more source

Research on Abnormal Radio Detection Method Combining Local Outlier Factor and One-Class Support Vector Machine

Electronics
The widespread application of wireless communication has led to increasingly complex electromagnetic environments, where spectrum abuse and malicious interference frequently cause abnormal signals.
Yue Zhao, Xueguang Zhou, Lu Chen, Yihuan Mao, Meishuang Yan   +4 more
semanticscholar   +1 more source

Anomaly Detection and Prediction HIV using Local Outlier Factor and XGBoost

2025 9th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)
Early detection and prediction of HIV/AIDS infection are important challenges in the medical world. Early detection of HIV/AIDS infection is crucial for improving patients' quality of life and preventing the spread of the disease. However, the imbalances
Annisa Fadhillah Pulungan, Desilia Selvida, Agnes Irene Silitonga   +2 more
semanticscholar   +1 more source