Results 111 to 120 of about 5,652,238 (291)

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

Performance Assessment of a Wind Turbine Using SCADA based Gaussian Process Model

open access: yesInternational Journal of Prognostics and Health Management, 2018
Loss of wind turbine power production identified through performance assessment is a useful tool for effective condition monitoring of a wind turbine. Power curves describe the nonlinear relationship between power generation and hub height wind speed and
Ravi Kumar Pandit, David Infield
doaj   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa   +8 more
wiley   +1 more source

A simple proof of distance bounds for Gaussian rough paths [PDF]

open access: yes, 2013
We derive explicit distance bounds for Stratonovich iterated integrals along two Gaussian processes (also known as signatures of Gaussian rough paths) based on the regularity assumption of their covariance functions.
Riedel, Sebastian, Xu, Weijun
core   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

Continuous correlated beta processes [PDF]

open access: yes, 2011
In this paper we consider a (possibly continuous) space of Bernoulli experiments. We assume that the Bernoulli distributions are correlated. All evidence data comes in the form of successful or failed experiments at different points. Current state-of-the-
Goetschalckx, R., Hoey, J., Poupart, P.
core   +1 more source

Probing the Cosmic Distance Duality Relation via Non-Parametric Reconstruction for High Redshifts

open access: yesUniverse
We test the validity of the cosmic distance duality relation (CDDR) by combining angular diameter distance and luminosity distance measurements from recent cosmological observations.
Felipe Avila   +6 more
doaj   +1 more source

Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping

open access: yesAdvances in Electrical and Computer Engineering, 2016
Wheel slip compensation is vital for building accurate and reliable dead reckoning based robot localization and mapping algorithms. This investigation presents stochastic slip compensation scheme for robot localization and mapping.
SIDHARTHAN, R. K.   +3 more
doaj   +1 more source

Neutrosophic Gaussian Processes with Bootstrap Hypothesis Testing for Performance Evaluation of Highways Asphalt Pavement [PDF]

open access: yesNeutrosophic Sets and Systems
Highway agencies must evaluate asphalt pavement performance under heterogeneous evidence: sensor noise, missing records, inconsistent inspections, and conflicting expert opinions.
Haocheng Xiong, Tao Yang
doaj   +1 more source

GAUSSIAN PROCESSES FOR MACHINE LEARNING [PDF]

open access: yesInternational Journal of Neural Systems, 2004
Gaussian processes (GPs) are natural generalisations of multivariate Gaussian random variables to infinite (countably or continuous) index sets. GPs have been applied in a large number of fields to a diverse range of ends, and very many deep theoretical analyses of various properties are available. This paper gives an introduction to Gaussian processes
openaire   +3 more sources

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