Results 101 to 110 of about 204,570 (278)
Enhancing ultra-short-term wind power forecasting using the Copula quantile regression method
In recent years, the shift toward renewable energy in China’s power industry has been remarkable, with the installed capacity of renewables surpassing that of coal-fired power.
Junhong GUO +5 more
doaj +1 more source
Multi‐Tissue Genetic Regulation of RNA Editing in Pigs
This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan +21 more
wiley +1 more source
A quantile-based method to efficiently determine model response at boundary probabilities
Quantiles are values of a function associated with specific probabilities. Two very specific quantiles, that is, ±3, are usually used for estimating probabilistic distribution of the function.
Xiongming Lai +4 more
doaj +1 more source
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
Multiple instance (MI) learning with a convolutional neural network enables end-to-end training in the presence of weak image-level labels. We propose a new method for aggregating predictions from smaller regions of the image into an image-level ...
CT Hiley +9 more
core +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
High-Dimensional Spatial Quantile Function-on-Scalar Regression. [PDF]
Zhang Z, Wang X, Kong L, Zhu H.
europepmc +1 more source
Sequential Quantiles via Hermite Series Density Estimation
Sequential quantile estimation refers to incorporating observations into quantile estimates in an incremental fashion thus furnishing an online estimate of one or more quantiles at any given point in time.
Macdonald, Iain +2 more
core +1 more source
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
Statistical inference of an α-quantile past lifetime function with applications
In reliability engineering and survival analysis, quantile functions are fundamental and often the most natural way to represent probability distributions and data samples.
Mohamed Kayid
doaj +1 more source
Quantile and probability curves without crossing [PDF]
The most common approach to estimating conditional quantile curves is to fit a curve, typically linear, pointwise for each quantile. Linear functional forms, coupled with pointwise fitting, are used for a number of reasons including parsimony of the ...
Alfred Galichon +2 more
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