Results 111 to 120 of about 1,104 (139)

Improving airport security with IoT-powered deep learning methods for threat detection and intelligent recommendation systems. [PDF]

Sci Rep
Basem M, Zaki J, Saraya MS, Talaat FM.
europepmc   +1 more source

Anomaly Detection Method for Hydropower Units Based on KSQDC-ADEAD Under Complex Operating Conditions. [PDF]

Sensors (Basel)
Yi T, Zhao X, Shi Y, Jing X, Lei W, Guo J, Meng Y, Zhang Z.   +7 more
europepmc   +1 more source

Multi-View Clustering-Based Outlier Detection for Converter Transformer Multivariate Time-Series Data. [PDF]

Sensors (Basel)
Shi Y, Guo J, Tian J, Yi T, Meng Y, Tian Z.   +5 more
europepmc   +1 more source

Advancing risk gene discovery across the allele frequency spectrum. [PDF]

HGG Adv
Caballero M, Mahjani B.
europepmc   +1 more source

Population genomics of Quercus gilva provides insights into the conservation of fengshui forests. [PDF]

Commun Biol
Jiang XL, Wu MX, Saito Y, Luo SS, Liu XS, Ouyang ZY, Li JX, Deng M, Li H.   +8 more
europepmc   +1 more source

Privacy-Preserving Detection of Tampered Radio-Frequency Transmissions Utilizing Federated Learning in LoRa Networks. [PDF]

Sensors (Basel)
Senol NS, Baza M, Rasheed A, Alsabaan M.
europepmc   +1 more source

Applying aperture-based intensity map in automated plan review of volumetric modulated arc therapy for lung cancer patients. [PDF]

Quant Imaging Med Surg
Huang P, Hu Z, Shang J, Fan Y, Chang Z, Xu Y, Dai J, Yan H.   +7 more
europepmc   +1 more source

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Online process monitoring scheme for fault detection based on Independent Component Analysis (ICA) and Local Outlier Factor (LOF)

The 40th International Conference on Computers & Indutrial Engineering, 2010
Process monitoring in manufacturing field such as chemistry and pharmacy is valuable to reduce the risk of the accidents and to improve the efficiency of the process. Due to the increased size and complicated technology of the modern plants, computer-aided process monitoring has been introduced.
Sukho Kang
exaly   +2 more sources

Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm

Lecture Notes in Computer Science, 2023
Agnieszka Nowak-Brzezińska, CZESŁAW Horyń   +1 more
exaly   +2 more sources

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)
Akbar Badhusha Mohideen, P. Krishna Sai, Y. Subhan Basha, S. Sohel, Y. Venkateswara Reddy   +4 more
exaly   +2 more sources