Results 131 to 140 of about 33,160 (233)
Expert Systems, Volume 43, Issue 5, May 2026.ABSTRACT Credit card fraud detection remains a challenging research problem due to the class imbalance issue caused by the rarity of fraudulent transactions. Classical oversampling techniques such as SMOTE, ADASYN and their variants help balance data but do not reflect the nonlinear structure of real‐world fraud, leading to poor generalization.
Sultan Alharbi +2 more
wiley +1 more source
Monitoring panels of sparse functional data
Journal of Time Series Analysis, Volume 47, Issue 3, Page 660-674, May 2026.Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta +2 more
wiley +1 more source
Jixie qiangdu, 2016 To determine whether stochastic subspace identification（ SSI） based on the output-only measurements can identify the doublet modes of cyclic symmetric structures accurately,taking a brake disc as an example,modal analysis based on SSI and traditional ...
CHU ZhiGang +3 more
doaj
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
Obesity Reviews, Volume 27, Issue 5, May 2026.ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
Stochastic Optimization of Non‐Convex Component Solution Spaces
International Journal for Numerical Methods in Engineering, Volume 127, Issue 8, 30 April 2026.ABSTRACT In systems engineering, solution spaces provide a practical way to reconcile competing goals by working with sets of good designs instead of point‐based solutions. Earlier contributions, however, were restricted either by limiting the dimensionality per component or, more recently, by constraining these spaces to be convex, which can, in some ...
Eduardo Rodrigues Della Noce +1 more
wiley +1 more source
Modal Identification Method of Offshore Wind Turbine Tower Based on SSI and FSDPC
Shock and VibrationThe structural health monitoring of offshore wind turbine towers is critical for ensuring their operational integrity. The condition of the tower structure is characterized by its modal parameters, which serve as effective health indicators.
Lele Li +4 more
doaj +1 more source
BuildingsTraditional methods of determining structural dynamic parameters produce destructive and unreliable results. Therefore, in this study, operational modal analysis method, which is a non-destructive and advanced method, was used to determine structural ...
Furkan Günday
doaj +1 more source
Finite Sample Analysis of Subspace Identification for Stochastic Systems
14 pages, 2 ...
Sun, Shuai, Hu, Weikang, Wang, Xu
openaire +2 more sources
Application of Covariance Driven Stochastic Subspace Identification Method
, 2011 In this research the application of output-only system identification technique known as Stochastic Subspace Identification (SSI) algorithms in civil structures is carried out. With the aim of finding accurate modal parameters of the structure in off-line analysis, a stabilization diagram is constructed by plotting the identified poles of the system ...
openaire +1 more source
Discrete stochastic maximal regularity. [PDF]
Math AnnEvangelopoulos-Ntemiris F, Veraar M.
europepmc +1 more source