Results 121 to 130 of about 363,287 (369)
An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan +4 more
wiley +1 more source
Research on elimination method of abnormal power data of wind turbine
Wind speed-power curve is widely used in power prediction, condition monitoring and fault diagnosis of wind turbine. Its main construction method is to fit the supervisory control and data acquisition (SCADA) data. However, due to wind abandonment, power
YANG Xinyue +3 more
doaj +1 more source
Using Quantile Regression for Duration Analysis [PDF]
Quantile regression methods are emerging as a popular technique in econometrics and biometrics for exploring the distribution of duration data. This paper discusses quantile regression for duration analysis allowing for a flexible specification of the ...
Fitzenberger, Bernd, Wilke, Ralf A.
core
Group Lasso for high dimensional sparse quantile regression models [PDF]
This paper studies the statistical properties of the group Lasso estimator for high dimensional sparse quantile regression models where the number of explanatory variables (or the number of groups of explanatory variables) is possibly much larger than ...
Kato, Kengo
core
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He +5 more
wiley +1 more source
The article analyzes different approaches to estimating risk of declining efficiency of investment projects that are recommended to practical use by academic literature. The author pointed to their subjectivity and high uncertainty of results.
N. P. Tikhomirov, T. M. Tikhomirova
doaj +1 more source
An Alternative Approach to Functional Linear Partial Quantile Regression
We have previously proposed the partial quantile regression (PQR) prediction procedure for functional linear model by using partial quantile covariance techniques and developed the simple partial quantile regression (SIMPQR) algorithm to efficiently ...
Kong, Linglong +2 more
core
The dynamics of carbon on green energy equity investment: quantile-on-quantile and quantile coherency approaches [PDF]
Bin Mo, Zhenghui Li, Juan Meng
openalex +1 more source
Quantile Fourier transform, quantile series, and nonparametric estimation of quantile spectra
A nonparametric method is proposed for estimating the quantile spectra and cross-spectra introduced in Li (2012; 2014) as bivariate functions of frequency and quantile level. The method is based on the quantile discrete Fourier transform (QDFT) defined by trigonometric quantile regression and the quantile series (QSER) defined by the inverse Fourier ...
openaire +2 more sources

