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AK-SEUR: An adaptive Kriging-based learning function for structural reliability analysis through sample-based expected uncertainty reduction
C Peng, C Chen, T Guo, W Xu - Structural Safety, 2024 - Elsevier
Reliability Analysis (RA) is a critical aspect of structural design and performance evaluation
aiming to determine the probability of structural failure under given random input …
aiming to determine the probability of structural failure under given random input …
Detecting Outliers in Non-IID Data: A Systematic Literature Review
Outlier detection (outlier and anomaly are used interchangeably in this review) in non-
independent and identically distributed (non-IID) data refers to identifying unusual or …
independent and identically distributed (non-IID) data refers to identifying unusual or …
[PDF][PDF] Enhanced SS-DBSCAN Clustering Algorithm for High-Dimensional Data
G Monko, M Kimura - datasciencehub.net
This research introduces an enhanced SS-DBSCAN, a scalable and robust density-based
clustering algorithm designed to tackle challenges in high-dimensional and complex data …
clustering algorithm designed to tackle challenges in high-dimensional and complex data …
[PDF][PDF] Detecting Outliers in Non-IID Data: A Systematic
Outlier detection (outlier and anomaly are used interchangeably in this review) in
nonindependent and identically distributed (non-IID) data refers to identifying unusual or …
nonindependent and identically distributed (non-IID) data refers to identifying unusual or …