Results 21 to 30 of about 561,088 (291)

Comparison of a Response Surface Method and Artificial Neural Network in Predicting the Aerodynamic Performance of a Wind Turbine Airfoil and Its Optimization

Applied Sciences, 2020
To find the optimal design for an engineering object, thousands of (or even more) simulations should be implemented to obtain the outcome data for the variously designed objects.
Sahuck Oh
doaj   +1 more source

A Surrogate Model of Gravitational Waveforms from Numerical Relativity Simulations of Precessing Binary Black Hole Mergers [PDF]

, 2017
We present the first surrogate model for gravitational waveforms from the coalescence of precessing binary black holes. We call this surrogate model NRSur4d2s. Our methodology significantly extends recently introduced reduced-order and surrogate modeling
Blackman, Jonathan, Field, Scott E., Galley, Chad R., Hemberger, Daniel A., Scheel, Mark A., Schmidt, Patricia, Smith, Rory   +6 more
core   +3 more sources

A general approach to risk modeling using partial surrogate markers with application to perioperative acute kidney injury

Diagnostic and Prognostic Research, 2017
Background Surrogate outcomes are often utilized when disease outcomes are difficult to directly measure. When a biological threshold effect exists, surrogate outcomes may only represent disease in specific subpopulations.
Derek K. Smith, Loren E. Smith, Frederic T. Billings, Jeffrey D. Blume   +3 more
doaj   +1 more source

Development of a diesel surrogate for improved autoignition prediction: Methodology and detailed chemical kinetic modeling

Applications in Energy and Combustion Science, 2023
While the surrogate fuel approach has been successfully applied to the simulation of the combustion behaviors of complex gasoline and jet fuels, its application to diesel fuels has been challenging.
Goutham Kukkadapu, Russell Whitesides, Mengyuan Wang, Scott W. Wagnon, Marco Mehl, Charles K. Westbrook, Robert McCormick, Chih-Jen Sung, William J. Pitz   +8 more
doaj   +1 more source

ML-Surrogate Model

This repository contains attachments related to the publication:**[Machine Learning Surrogate Optimization Framework for an Additively Manufactured, Linearly Polarized Metal Coaxial-to-Circular Waveguide Transition for Space Applications] ****Published in: ** [Engineering Applications of AI], [Volume xxx], [Issue yyy], [Year 2025], [Page Numbers zzz or
HASAN, MUHAMMAD FAHAD, Huang, He, Mushtaq, Ray Tahir   +2 more
  +4 more sources

A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission Towers

Applied Sciences, 2019
The utilization of modal frequency sensors is a feasible and effective way to monitor the settlement problem of the transmission tower foundation. However, the uncertainties and interference in the real operation environment of transmission towers highly
Jiajia Shi, Liu Chu, Eduardo Souza de Cursi   +2 more
doaj   +1 more source

Influence of diesel surrogates on the behavior of simplified spray models [PDF]

, 2012
Numerous experimental investigations make use of diesel surrogates to make the computational time reasonable. In the few studies where measured (surrogate and real diesel) and computed (surrogate only) results have been compared, the selection ...
F Battin-Leclerc, H Wanga, JM Desantes, JV Pastor, N Peters, R Payri, RH Natelson   +6 more
core   +2 more sources

Development of surrogate-optimization models for a novel transcritical power cycle integrated with a small modular reactor

Energy and AI
In recent years, various types of surrogate optimization models have been proposed to reduce the computational time and to improve the emulation accuracy.
Yili Zhang, Jacob Bryan, Geordie Richards, Hailei Wang   +3 more
doaj   +1 more source

COMPARATIVE STUDY OF XAI USING FORMAL CONCEPT LATTICE AND LIME

ICTACT Journal on Soft Computing, 2022
Local Interpretable Model Agnostic Explanation (LIME) is a technique to explain a black box machine learning model using a surrogate model approach.
Bhaskaran Venkatsubramaniam, Pallav Kumar Baruah   +1 more
doaj   +1 more source

Fast prediction and evaluation of gravitational waveforms using surrogate models [PDF]

, 2013
[Abridged] We propose a solution to the problem of quickly and accurately predicting gravitational waveforms within any given physical model. The method is relevant for both real-time applications and in more traditional scenarios where the generation of
Field, Scott E., Galley, Chad R., Hesthaven, Jan S., Kaye, Jason, Tiglio, Manuel   +4 more
core   +6 more sources