Results 151 to 160 of about 4,845 (297)
High‐Dimensional Cumulative Sum Control Charts for Industrial Measurement Systems
Quality and Reliability Engineering International, EarlyView.ABSTRACT High dimensional sensing in modern factories and energy assets produces thousands of correlated signals. Detecting small process shifts is challenging because many classical multivariate charts lose power or become unstable. We present two cumulative sum procedures for two sample monitoring that remain effective when the number of variables is
Osama Alhadi +3 more
wiley +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
High Voltage, EarlyView.ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li +5 more
wiley +1 more source
EURASIP Journal on Advances in Signal Processing, 2010 Linear Discriminant Analysis (LDA) and Multilinear Principal Component Analysis (MPCA) are leading subspace methods for achieving dimension reduction based on supervised learning. Both LDA and MPCA use class labels of data samples to calculate subspaces
Park SungWon, Savvides Marios
doaj
Acta Crystallographica Section D, EarlyView.We present a new formulation for protein flexibility and learn protein motions from sparse experimental data.Proteins move and deform to ensure their biological functions. Despite significant progress in protein structure prediction, approximating conformational ensembles under physiological conditions remains a fundamental open problem.
Valentin Lombard +3 more
wiley +1 more source
The Ties That Rhyme: Duality in Symbolic and Structural Networks of Grime Music
The British Journal of Sociology, EarlyView.ABSTRACT Do birds of a feather really sing together? Musicians face two competing pressures in the pursuit of success: conforming to genre norms to meet audience expectations and distinguishing themselves to attract the attention of listeners. These opposing logics may shape how artists choose their collaborators.
Tom R. Leppard, Andrew P. Davis
wiley +1 more source
ICTACT Journal on Image and Video Processing, 2016 Face recognition system is gaining more importance in social networks and surveillance. The face recognition task is complex due to the variations in illumination, expression, occlusion, aging and pose.
A. Thamizharasi, J.S. Jayasudha
doaj
How much are you willing to pay to avoid lockdowns? Evidence from the real estate market
Real Estate Economics, EarlyView.Abstract In response to the COVID‐19 pandemic, numerous countries implemented lockdowns. In Victoria, Australia, a unique two‐tier system was employed, segregating areas with a Ring of Steel boundary and imposing additional restrictions within. This study focuses on the impact of lockdowns on housing prices and rents, exploring whether people are ...
Jian Liang, Chyi Lin Lee, Qiang Li
wiley +1 more source
Two-Dimensional DOA Estimation of Coherent Sources Based on Uniform Linear Electromagnetic Vector Sensor Array. [PDF]
Sensors (Basel)Zhang J, Lan X, Wang X.
europepmc +1 more source
Invariant subspace method for fractional Black-Scholes equations [PDF]
ScienceAsia, 2018 openaire +1 more source