Results 21 to 30 of about 14,186,820 (252)

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

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

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

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

Some considerations regarding the use of multi-fidelity Kriging in the construction of surrogate models

, 2015
Surrogate models or metamodels are commonly used to exploit expensive computational simulations within a design optimization framework. The application of multi-fidelity surrogate modeling approaches has recently been gaining ground due to the potential ...
Toal, David J.J.
core   +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

Real-time forging process control: integrating billet-related surrogate and machine behavior models [PDF]

This study introduces a predictive surrogate model for real-time control in cold upsetting processes, incorporating both material and machine behaviors.
DURAND, Camille, BIGOT, Regis, URIBE, David, BAUDOUIN, Cyrille   +3 more
core   +1 more source

Sensitivity analysis and optimization method of partition surrogate model based on physical knowledge driven

Hangkong gongcheng jinzhan
The problem of "dimensionality disaster" of design variable is a key technical problem that restricts the application of current agent-based optimization algorithms.
SHAO Mengying, XIA Lu, ZHANG Wei, ZHAO Ke   +3 more
doaj   +1 more source

Evidence‐Informed Multidisciplinary Consensus Guidance for the Psychosocial Care of Adolescents With High‐Risk Cancer: Recommendations From the Italian Association of Pediatric Hematology and Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom, Dorella Scarponi, Giulia Zucchetti, Teresa Perillo, Maria Montanaro, Elisa Marconi, Chiara Rutigliano, Paolo Colavero, Paola Quarello, Marina Bertolotti, Monica Cellini, Carlo Clerici, Maurizio Mascarin, Francesca Bomben, Andrea Ferrari, the expert workgroup   +15 more
wiley   +1 more source

Research on Surrogate Model of Dam Structural Behavior for Multi‐Output Problem

Engineering Reports
The establishment efficiency of the surrogate model is often affected by the multi‐output problem during the establishment process. It is an urgent issue to solve how to establish a multi‐output joint surrogate model more quickly while ensuring a certain
Yuan Qiao, Liang Jiaming, Li Zhanchao, Ebrahim Yahya Khailah   +3 more
doaj   +1 more source