Results 131 to 140 of about 116,475 (314)

A generalized van Genuchten model for unsaturated soil hydraulic conductivity

Vadose Zone Journal
The hydrodynamics of variably saturated soils or porous media in general are described via nonlinear functions of water retention and hydraulic conductivity, which facilitate the simulation of various mass and energy transport processes (e.g., water ...
Asghar Ghorbani, Morteza Sadeghi, Markus Tuller, Wolfgang Durner, Scott B. Jones   +4 more
doaj   +1 more source

ASPECTS OF MODELLING NONLINEAR TIME SERIES

, 1992
It is common practice for economic theories to postulate non-linear relationships between economic variables, production functions being an example. If a theory suggests a specific functional form, econometricians can propose estimation techniques for ...
Tjøstheim, Dag, Granger, Clive W J, Teräsvirta, Timo   +2 more
core  

Enhancing Generalization Capability of Tool Wear Prediction in Drilling Process Using Nonlinear Regression

International Journal of Automation Technology
The rapidly increasing demand for automation and efficiency in human resources within flexible manufacturing systems has made automated and systematic tool condition monitoring (TCM) and high-precision real-time anomaly detection essential for the cutting process. Drilling is crucial among cutting operations because inaccuracies can result in errors in
Kazuya Oda, Haruhiko Suwa
openaire   +1 more source

Streptavidins Coordinate Biotin Sequestration and Self‐Resistance Within a Biotin‐Pathway Antibiotic Network

Advanced Science, EarlyView.
A conserved genomic region between two streptavidin genes in Streptomyces packages biosynthetic gene clusters for diverse biotin‐pathway antibiotics: acidomycin, stravidin, the new non‐proteinogenic amino acid ANDA, and the new BioA inhibitor α‐methyl‐KAPA.
Sumire Kurosawa, Jingjun Mo, Xiaotong Diao, Feng Xie, Tingting Wang, Haowen Zhao, Dalei Wu, Rolf Müller, Chengzhang Fu   +8 more
wiley   +1 more source

A Fast Algorithm for the High Order Linear and Nonlinear Gaussian Regression filter

, 2009
In this paper, the general model of the Gaussian regression filter, including both the linear and nonlinear filter of zeroth, second order, has been reviewed.
Jiang, X., Xiao, S., Zeng, Wenhan, Scott, P. J., Blunt, Liam, Jiang, Xiang, Xiao, Shaojun, Zeng, W., Scott, Paul J., Blunt, L.   +9 more
core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

DESIGN-ADAPTIVE POINTWISE NONPARAMETRIC REGRESSION ESTIMATION FOR RECURRENT MARKOV TIME SERIES [PDF]

A general framework is proposed for (auto)regression nonparametric estimation of recurrent time series in a class of Hilbert Markov processes with a Lipschitz conditional mean.
Guerre
core  

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

Investigating the determinants of fear of cancer recurrence in patients with early‐stage non‐small cell lung cancer: Insights from a restricted cubic spline model

Cancer Medicine
Objective This study aims to investigate the determinants and the dose–response relationship of fear of cancer recurrence among patients with early‐stage non‐small cell lung cancer (NSCLC), aiming to inform prevention and intervention strategies. Methods
Man Liu, Lu Liu, Zhuoheng Lv, Yousheng Mao, Yan Liu   +4 more
doaj   +1 more source

Nonlinear Knowledge in Kernel Approximation

, 2006
Prior knowledge over arbitrary general sets is incorporated into nonlinear kernel approximation problems in the form of linear constraints in a linear program.
Mangasarian, Olvi, Wild, Edward
core