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Uncertainty Modelling in Metamodels for Fire Risk Analysis
Safety, 2021 In risk-related research of fire safety engineering, metamodels are often applied to approximate the results of complex fire and evacuation simulations.
Florian Berchtold +3 more
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Metamodel-Based Optimization Method for Traffic Network Signal Design under Stochastic Demand
Journal of Advanced Transportation, 2023 Traffic network design problems (NDPs) play an important role in urban planning. Since there exist uncertainties in the real urban traffic network, neglecting the uncertainty factors may lead to unreasonable decisions.
Wei Huang +3 more
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A metamodel for heritage-based urban recovery
Built Heritage, 2022 Purpose The purpose of this paper is to discuss the potential transfer of a metamodel for heritage-based urban development (HBUD) in a postcrisis urban recovery scenario. Design/methodology/approach After an introduction to the field of cultural heritage
Christer Gustafsson, Matthias Ripp
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Seismic Fragility Analysis of Structures Based on Adaptive Gaussian Process Regression Metamodel
Shock and Vibration, 2021 Metamodel-based seismic fragility analysis methods can overcome the challenge of high computational costs of problems considering the uncertainties of earthquakes and structural parameters; however, the accuracy of metamodels is difficult to control.
Yanjie Xiao, Feng Yue, Xun'an Zhang
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Formal Definition and Modeling Language of Association-Oriented Database Metamodel (AssoBase) [PDF]
Vietnam Journal of Computer Science, 2019 The paper provides a concise discussion of the most important theoretical aspects of the Association-Oriented Database (AODB) Metamodel. Even though the model has been practically verified, the author has focused on its formal aspects and modeling ...
Marek Krótkiewicz
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An Error-Pursuing Adaptive Uncertainty Analysis Method Based on Bayesian Support Vector Regression
Machines, 2023 The Bayesian support vector regression (BSVR) metamodel is widely used in various engineering fields to analyze the uncertainty arising from uncertain parameters.
Sheng-Tong Zhou +4 more
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Physicality, modeling, and agency in a computational physics class
Physical Review Physics Education Research, 2023 Computation is intertwined with essentially all aspects of physics research and is invaluable for physicists’ careers. Despite its disciplinary importance, integration of computation into physics education remains a challenge and, moreover, has tended to
A. M. Phillips +4 more
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Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel
Diagnostics, 2023 Accurate prediction of heart failure can help prevent life-threatening situations. Several factors contribute to the risk of heart failure, including underlying heart diseases such as coronary artery disease or heart attack, diabetes, hypertension ...
Istiak Mahmud +5 more
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Results in Engineering, 2022 Since natural gas liquefaction operation is an energy-intensive technology. Research has been published for the optimization of the process by utilizing the first principal complex nonlinear SMR model.
Wahid Ali
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Big Data Management and Analytics Metamodel for IoT-Enabled Smart Buildings
IEEE Access, 2020 Big data management and analytics, in the context of IoT (Internet of Things)-enabled smart buildings, is a challenging task. It is a diffused and complex area of knowledge due to the diversity of IoT devices and the nature of data generated by the IoT ...
Muhammad Rizwan Bashir +3 more
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