Recent advances and applications of surrogate models for finite element method computations: a review
J Kudela, R Matousek - Soft Computing, 2022 - Springer
The utilization of surrogate models to approximate complex systems has recently gained
increased popularity. Because of their capability to deal with black-box problems and lower …
increased popularity. Because of their capability to deal with black-box problems and lower …
Machine learning enhancing metaheuristics: a systematic review
During the optimization process, a large number of data are generated through the search.
Machine learning techniques and algorithms can be used to handle the generated data to …
Machine learning techniques and algorithms can be used to handle the generated data to …
Embedding data analytics and CFD into the digital twin concept
R Molinaro, JS Singh, S Catsoulis, C Narayanan… - Computers & …, 2021 - Elsevier
Abstract Computer-Aided Engineering (CAE) has supported the industry in its transition from
trial-and-error towards physics-based modelling, but our ways of treating and exploiting the …
trial-and-error towards physics-based modelling, but our ways of treating and exploiting the …
Design of a smart prefabricated sanitising chamber for COVID-19 using computational fluid dynamics
The novel coronavirus (SARS-CoV-2) has spread at an unprecedented rate, resulting in a
global pandemic (COVID-19) that has strained healthcare systems and claimed many lives …
global pandemic (COVID-19) that has strained healthcare systems and claimed many lives …
Towards an integrated machine-learning framework for model evaluation and uncertainty quantification
B Buisson, D Lakehal - Nuclear Engineering and Design, 2019 - Elsevier
We introduce a new paradigm for treating and exploiting simulation data, serving in parallel
as an alternative workflow for model evaluation and uncertainty quantification. Instead of …
as an alternative workflow for model evaluation and uncertainty quantification. Instead of …
Machine learning-based models for predicting gas breakthrough pressure of porous media with low/ultra-low permeability
Gas breakthrough pressure is a significant parameter for the gas exploration and safety
evaluation of engineering barrier systems in the carbon dioxide storage, remediation of …
evaluation of engineering barrier systems in the carbon dioxide storage, remediation of …
II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems
A novel accurate and robust metric called II-Learn for measuring the increase of intelligence
of a system after a learning process is proposed. We define evolving learning systems, as …
of a system after a learning process is proposed. We define evolving learning systems, as …