Results 41 to 50 of about 16,890,236 (293)
Radiation shielding optimization based on dynamic radial basis surrogate model of particle flight
He jishuBackgroundRadiation shielding is crucial for ensuring the environmental safety of personnel and nuclear facilities in the nuclear industry. As it usually consumes a long time in single simulation calculation, the optimization design of radiation ...
GAO Shuai +7 more
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MULTI-OBJECTIVE OPTIMIZATION OF VEHICLE/TRACK PARAMETERS BASED ON RBF NEURAL NETWORK SURROGATE MODEL
Jixie qiangdu, 2021 The RBF（ Radial Basis Function） neural network surrogate model that employed to explore the multi-objective optimization problems of vehicle and track parameters is to improve the dynamic performance of vehicles. The sensitivity of dynamic performance on
XIAO Qian +4 more
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Finite element model updating for the Tsing Ma Bridge tower based on surrogate models
Journal of Low Frequency Noise, Vibration and Active Control, 2022 This paper investigates the efficiency of three surrogate model-based dynamic finite element model updating methods, the response surface, the support vector regression, and the radial basis function neural network, using the engineering background of ...
Xiao-Xiang Cheng +2 more
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, 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.
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Artificial Surrogate Model for Computational Fluid Dynamics
ESANN 2025 proceesdingsAbstract: Simulating fluid dynamics is challenging due to the computational complexity of processing high-dimensional data, which often requires significant time. Fluid behavior is typically governed by partial differential equations (PDEs), and the complexity escalates when obstacles disrupt the flow, reinforcing vorticity formation.
Alfaham, Abdallah, Mercelis, Siegfried
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IEEE Access, 2021 Model updating can improve the accuracy of the multistage gearbox dynamic model (MGDM). However, owing to the time-consuming calculations and numerous parameters of the MGDM, previous updating methods are not suitable for updating the MGDM.
Huachao Xu +3 more
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Structural dynamic load prediction method based on long short-term memory network
Zhongguo Jianchuan YanjiuObjectiveTo address the limitations of traditional surrogate models in handling time-dependent dynamic processes and heterogeneous data, this paper proposes a dynamic load surrogate model method based on a long short-term memory (LSTM) network ...
Yuwei FAN +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
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Atmosphere, 2018 Natural ventilation and the use of fans are recognized as sustainable design strategies to reduce energy use while reaching thermal comfort. A big challenge for designers is to predict ventilation rates of buildings in dense urban areas.
Tam Nguyen Van, Frank De Troyer
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FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
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