Results 131 to 140 of about 206,054 (294)
Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer +6 more
wiley +1 more source
A Note on Implementing Box-Cox Quantile Regression [PDF]
The Box-Cox quantile regression model using the two stage method suggested by Chamberlain (1994) and Buchinsky (1995) provides a flexible and numerically attractive extension of linear quantile regression techniques.
Fitzenberger, Bernd +2 more
core
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Returns to Scale of Production Function: Pooled, Within and Between Quantile Regression Approach [PDF]
Production function, Pooled, Between and Within Quantile Regression, Panel data, Production Economics, Research Methods/ Statistical Methods,
Mishra, Ashok K. +2 more
core +1 more source
Penalized function-on-function linear quantile regression
We introduce a novel function-on-function linear quantile regression model to characterize the entire conditional distribution of a functional response for a given functional predictor. Tensor cubic $B$-splines expansion is used to represent the regression parameter functions, where a derivative-free optimization algorithm is used to obtain the ...
Ufuk Beyaztas +2 more
openaire +2 more sources
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source
Accurate modeling of industrial and biomedical data is often challenging due to skewness, heavy tails, and complex variability, which traditional probability distributions fail to capture.
Mahmoud M. Abdelwahab +4 more
doaj +1 more source
Long‐Term Quality of Life in 1777 Persons With Hodgkin Lymphoma and 6166 Matched Comparators
ABSTRACT Survival has improved substantially for patients with Hodgkin lymphoma (HL), but long‐term quality of life (QoL) remains incompletely understood. This was a Danish, nationwide, cross‐sectional study of QoL among persons with a diagnosis of HL matched 1:10 to general population comparators.
Sissel Johanne Godtfredsen +13 more
wiley +1 more source
Housing as Asset‐Based Welfare in Australia: An Investigation Through a Consumption Lens
ABSTRACT Housing asset‐based welfare has long been a key component of Australia's social policy. This resonates with a parallel literature identifying a trade‐off between homeownership and the size of nations' welfare states, wherein owner‐occupiers in smaller welfare states tend to come to rely on housing wealth to meet many of their welfare needs ...
Gavin A. Wood +3 more
wiley +1 more source

