Results 121 to 130 of about 315,996 (341)

Quantile regression to examine the association of air pollution with subclinical atherosclerosis in an adolescent population

, 2021
Adjani A. Peralta, Joel Schwartz, Diane R. Gold, Judith M. Vonk, Roel Vermeulen, Ulrike Gehring   +5 more
openalex   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Nonlinear quantile regression to describe the dry matter accumulation of garlic plants

, 2020
Guilherme Alves Puiatti, Paulo Roberto Cecon, Moysés Nascimento, Ana Carolina Campana Nascimento, Antônio Policarpo Souza Carneiro, Fabyano Fonseca e Silva, Mário Puiatti, Cosme Damião Cruz   +7 more
openalex   +1 more source

On the Interdependence between Biofuel, Fossil Fuel and Agricultural Food Prices: Evidence from Quantile Tests

, 2022
Seong‐Min Yoon
openalex   +1 more source

Modeling Quantile Dependence: A New Look at the Money-Output Relationship [PDF]

Do money supply shocks influence output growth asymmetrically? At different levels of output growth, would the influence of the same monetary policy stance vary?
Nicholas C.S. Sim
core  

Computational study of permeability in cardboard coating layers

AIChE Journal, EarlyView.
Abstract We develop a virtual material structure model based on a combination of tessellations and Gaussian random fields for a coating layer of paperboard used for packaging and designed to facilitate printing on the surface. To fit the model to tomographic image data acquired using combined focused ion beam and scanning electron microscopy (FIB‐SEM),
Sandra Barman, Torben Nilsson Pingel, Niklas Lorén, Tobias Gebäck, Eva Olsson, Aila Särkkä, Magnus Röding   +6 more
wiley   +1 more source

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

Advanced Intelligent Discovery, EarlyView.
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, André Orth, Robert Wang, Ben Breitung, Simon Schweidler, Jasmin Aghassi‐Hagmann, Markus Reischl   +6 more
wiley   +1 more source

Mapping 1 April SWE in the Western US Using Standardized Anomalies and Quantiles From SWE Reanalysis and In Situ Stations

Water Resources Research
Real‐time estimates of peak snow water equivalent (SWE) are critical to spring runoff forecasts in snow‐dominated basins, but large uncertainties remain due to the high spatial and temporal variability of interannual peak SWE.
Hannah Besso, Ross Mower, Justin M. Pflug, Jessica D. Lundquist   +3 more
doaj   +1 more source

Forecasting wind power quantiles using conditional kernel estimation [PDF]

, 2015
James W. Taylor, Jooyoung Jeon
openalex   +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